Directory of Researchers

YIN Chengjiu
Information Science and Technology Center
Associate Professor
Electro-Communication Engineering
Last Updated :2022/01/10

Researcher Profile and Settings

Affiliation

  • <Faculty / Graduate School / Others>

    Information Science and Technology Center
  • <Related Faculty / Graduate School / Others>

    Faculty of Engineering / Department of Computer Science and Systems Engineering, Graduate School of System Informatics / Department of System Science, Center for Mathematical and Data Sciences

Teaching

Research Activities

Research Interests

  • e-Books
  • Learning Analytics
  • Mobile Learning
  • Educational Big Data
  • Educational Technology

Research Areas

  • Informatics / Intelligent informatics
  • Informatics / Learning support systems
  • Humanities & social sciences / Educational technology

Committee Memberships

  • Jan. 2018 - Present, IPSJ, 委員
  • Mar. 2017 - Present, IEEE, 委員
  • Oct. 2009 - Present, APSCE (Asia-Pacific Society for Computers in Education), 委員
  • Jun. 2008 - Present, 日本教育工学会, 委員
  • Apr. 2018 - Mar. 2020, IPSJ関西支部, 幹事
  • Mar. 2018 - Mar. 2020, SIG CUMTEL in APSCE, Chair
  • Jan. 2017 - Jan. 2018, Interactive Learning Environments (SSCI), Guest Editor
  • Jan. 2016 - Jan. 2017, Interactive Learning Environments (SSCI), Guest Editor
  • Jan. 2013 - Jan. 2014, Interactive Learning Environments (SSCI), Guest Editor
  • Jul. 2021 - Present, Educational Data and Evidence, Director

Awards

  • Sep. 2019 Asia-Pacific Society for Computers in Education, Early Career Researcher Award

    YIN CHENGJIU

    Early Career Researcher Award recognizes an active APSCE Member in the early stages of his or her career no later than 12 years after receipt of the doctoral degree who has produced international quality research outputs, and be able to demonstrate ambitions and aspirations consistent with the potential to achieve world-leading status. The Award was launched in 2009 for provision every two years. Starting from 2014, the Award is provided annually.

    International academic award

  • Jul. 2019 IIAI-International Congress on Advanced Applied Informatics (AAI), Best Poster Paper, A System for Grouping Texts and Objects in Slide Layout

    Fumiya Suzuki, Kousuke Mouri, Uosaki Noriko, Atsushi Shimada, Chengjiu Yin, Keiichi Kaneko

    International society

  • Jul. 2015 15th IEEE International Conference on Advanced Learning Technologies, Best Short Paper Award, Preliminary Research on Self-regulated Learning and Learning Logs in a Ubiquitous Learning Environment

    Masanori Yamada, Chengjiu Yin, Atsushi Shimada, Kentaro Kojima, Fumiya Okubo, Hiroaki Ogata

    International society

Published Papers

  • Neil E. Barrett, Wei Chen Hsu, Gi Zen Liu, Hei Chia Wang, Chengjiu Yin

    This study provides a systematic literature review of 45 selected studies into computer-supported collaborative learning and written communication from 2006 to 2018. A review of the methodologies and findings helps explain the complex issues in this area. The corpus was analyzed qualitatively for statements, and six themes were identified: feedback, engagement, depth of discussion, language development, affective learning, and the role of the instructor. Examples include the best tools and approaches for deeper discussions and feedback, the role of the instructor, and the best practices to facilitate extended task engagement. In addition, quantitative analyses of the results revealed that most collaboration was carried out within education or English language courses, was of a duration of 11 to 20 weeks, and the most frequent sample size was between 20 and 50 students. The findings from this review contribute to our understanding of English language learning behavior, engagement with technology, and the emotional involvement in collaborative writing with technology.

    Last, WILEY, Apr. 2021, Human Behavior and Emerging Technologies, 3 (2), 261 - 270, English

    [Refereed]

  • A Result Confirmation-based Learning Behavior Analysis Framework for Exploring the Hidden Reasons behind Patterns and Strategies

    Fuzheng Zhao, Gwo Jen Hwang, Chengjiu Yin

    Educational data mining and learning analytics have become a very important topic in the field of education technology. Many frameworks have been proposed for learning analytics which make it possible to identify learning behavior patterns or strategies. However, it is difficult to understand the reason why behavior patterns occur and why certain strategies are used. In other words, all of the existing frameworks lack an important step, that is, result confirmation. In this paper, we propose a Result Confirmation-based Learning Behavior Analysis (ReCoLBA) framework, which adds a result confirmation step for exploring the hidden reasons underlying the learning patterns and strategies. Using this ReCoLBA framework, a case study was conducted which analyzed e-book reading data. In the case study, we found that the students had a tendency to delete markers after adding them. Through an investigation, we found that the students did this because they could not grasp the learning emphasis. To apply this finding, we proposed a learning strategy whereby the teacher highlights the learning emphasis before students read the learning materials. An experiment was conducted to examine the effectiveness of this strategy, and we found that it could indeed help students achieve better results, reduce repetitive behaviors and save time. The framework was therefore shown to be effective.

    INT FORUM EDUCATIONAL TECHNOLOGY & SOC-IFETS, 2021, Educational Technology and Society, 24 (1), 138 - 151, English

    [Refereed]

    Scientific journal

  • Proposal of note-map for collaborative reading using an E-book system

    Juan Zhou, Hideyuki Takada, Chengjiu Yin

    E-books are continually being introduced to educational institutions. Many e-books systems have a note-taking function to support learners' record of their reading by themselves. However, collaborative note-taking provides many benefits to learners, and as a way to improve reading efficiency and stimulate students' learning motivation, collaborative reading has been widely used in educational fields. In this study, we describe a note-map function to support students' collaborative reading. Students share their notes, edit others' notes, communicate with others using the note-map function, and a scenario of using the system is resented.

    Last, 23 Nov. 2020, ICCE 2020 - 28th International Conference on Computers in Education, Proceedings, 1, 192 - 194

    [Refereed]

    International conference proceedings

  • Learning style prediction using students' E-textbook reading behaviors data

    Meijun Gu, Bo Jiang, Chengjiu Yin

    Adaptivity is one of the most prominent features of intelligent textbooks in the 21st century. Learning style is a personality characteristic of learners, which is used to describe learners' preference for processing information in a certain way. Learning style was often measured by questionnaires, which were easily influenced by learners' subjective cognition and external interference. This study proposes a data-driven approach to automatically detect learning style of learners. In the learning environment of e-textbook, 234 students' reading data was collected, and a learner model is constructed using machine learning technology. The results show that the proposed model achieves a promising performance in prediction learning style. This will help measure learning style more accurately and provide support for personalization. The learner model applied to e-textbook can promptly and dynamically monitor the changes of students' learning behavior in the online environment, and adaptively intervene, remedy or enhance.

    Last, 23 Nov. 2020, ICCE 2020 - 28th International Conference on Computers in Education, Proceedings, 2, 332 - 340

    [Refereed]

    International conference proceedings

  • Research trend and development process in learning analytics: A review of publications in selected journals from 2008 to 2019

    Fuzheng Zhao, Yoshiyuki Tabata, Chengjiu Yin

    We employed a Co-citation analysis by the Citespace software for the trend and development process in learning analytics. Through the clustering term time-zone view, it is clearly shown that 15 research clustering terms occurred from 2008 to 2019. Moreover, this paper proposed a clear review when these terms emerged and how they grew.

    23 Nov. 2020, ICCE 2020 - 28th International Conference on Computers in Education, Proceedings, 2, 665 - 668

    International conference proceedings

  • Bo Jiang, Simin Wu, Chengjiu Yin, Haifeng Zhang

    Accurately tracing the state of learner knowledge contributes to providing high-quality intelligent support for computer-supported programming learning. However, knowledge tracing is difficult when learners have only had a few practice opportunities, which is often common in block-based programming. This article proposed two knowledge tracing models that can exploit the problem-solving process data generated by learners from a single programming task. A novel metric, the approaching index, was developed using the tree edit distance in abstract syntax trees to measure the similarities between the learners' intermediate solutions and the optimal solution. The proposed method allows for each learner's programming path to be represented as a raw approaching index sequence (AISeq) or as a single variable (AIScore) by averaging the AISeq. A logistic regression model was first designed to predict the learners' performances using their AIScore, the number of attempts, and their current performance. A second model, a recurrent neural network model, was also developed to directly use the AISeq and to make predictions. To verify the effectiveness of these models, a series of statistical analyses and experiments were conducted on two existing large-scale block-based programming datasets, the results from which revealed that the proposed models were competitive with four state-of-the-art models on multiple metrics, such as the precision-recall curve, accuracy, specificity, and Cohen's Kappa. Especially, the proposed models were found to be more robust than the compared models in predicting who would fail to complete the tasks.

    IEEE COMPUTER SOC, Oct. 2020, IEEE Transactions on Learning Technologies, 13 (4), 822 - 832, English

    [Refereed]

    Scientific journal

  • Anna Y. Q Huang, Owen H. T Lu, Jeff C. H Huang, C. J. Yin, Stephen J. H Yang

    In order to enhance the experience of learning, many educators applied learning analytics in a classroom, the major principle of learning analytics is targeting at-risk student and given timely intervention according to the results of student behavior analysis. However, when researchers applied machine learning to train a risk identifying model, the reason which affected the performance of the model was overlooked. This study collected seven datasets within three universities located in Taiwan and Japan and listed performance metrics of risk identification model after fed data into eight classification methods. U1, U2, and U3 were used to denote the three universities, which have three, two, and two cases of datasets (learning logs), respectively. According to the results of this study, the factors influencing the predictive performance of classification methods are the number of significant features, the number of categories of significant features, and Spearman correlation coefficient values. In U1 dataset case 1.3 and U2 dataset case 2.2, the numbers of significant features, numbers of categories of significant features, and Spearman correlation coefficient values for significant features were all relatively high, which is the main reason why these datasets were able to perform classification with high predictive ability.

    Informa {UK} Limited, 17 Feb. 2020, Interactive Learning Environments, 28 (2), 206 - 230, English

    [Refereed]

    Scientific journal

  • Nian Shing Chen, Chengjiu Yin, Pedro Isaias, Joseph Psotka

    Lead, ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, 17 Feb. 2020, Interactive Learning Environments, 28 (2), 142 - 147, English

    [Refereed]

    Scientific journal

  • Noriko Uosaki, Kousuke Mouri, Takahiro Yonekawa, Chengjiu Yin, Akihiko Ieshima, Hiroaki Ogata

    In this paper, we describe the support system for job-hunting students to learn job-hunting related terms by using an eBook and a chat system. Job-hunting process is very unique and complicated in Japan. Job-hunting students face difficulties in many phases. Many job-hunting related terms are not used in daily conversation and very new to them. Therefore, it is necessary to support them to learn them. The objectives of this study are (1) to clarify whether there is a positive correlation between active involvement of eBook learning and test performance and (2) to clarify whether the use of our chat system was effective in learning job-hunting related terms. The result of the evaluation showed that as for (1), there was no statistically significant correlation between the two factors. However when focusing on the international students, the correlation coefficient increased. It was aligned with the fact that this system was originally designed to support international students. As for (2), when the comparison was made between with and without InCircle delivery, there was no statistically significant difference between them in terms of Pre- and Post-test improvement. However the students gave the high score when they were asked its helpfulness. The score implies that the students were satisfied with its helpfulness.

    Springer International Publishing, 2020, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12203 LNCS, 648 - 662, English

    [Refereed]

    International conference proceedings

  • A System for Finding and Improving the Relevant Contents of Digital Textbooks based on Quizzes’ Contents

    Lingyu Li, Noriko Uosaki, Kousuke Mouri, Chengjiu Yin

    In this paper, we developed a digital textbook content improvement system, which can help teachers to find and improve the relevant content of digital textbook objectively based on the contents of quizzes. Based on the DITeL system, we have designed two modules of the system configuration. The first part includes the functions such as registration, modifications and deletions of the contents of questions, optional items and students’ answers, and the calculation and display of average grades ratio about questions which have been answered by students. The second part is based on the question and the correct answer, automatically to search relevant page about the digital textbook. We aim to use the system that students can take quizzes in every lesson to test the level of mastery of their knowledge. And teachers can find which questions that students got lower scores, and which the contents of relevant page about the digital textbook need to be improved.

    19 Nov. 2019, ICCE 2019 - 27th International Conference on Computers in Education, Proceedings, 2, 178 - 183

    [Refereed]

    International conference proceedings

  • Supporting ubiquitous language learning with object and text detection technologies

    Kousuke Mouri, Noriko Uosaki, Chengjiu Yin, Atsushi Shimada, Mohammad Nehal Hasnine, Keiichi Kaneko, Hiroaki Ogata

    Learning log is defined as a digital record of what learners have learned in their daily lives using ubiquitous technologies. By using the ubiquitous learning system named SCROLL(System for Capturing and Remining Of Learning Logs), learners can save what they have learned in their daily lives with photo, such as location (latitude and longitude), learning place, and date and time of creation as a learning log. Although learners have many opportunities to learn words and meanings of objects with taking a photo in their daily lives, SCROLL is not implemented functions for supporting language learning with object and text detection. Therefore, this paper proposes a ubiquitous learning system to support language learning with object and text detection technologies.

    19 Nov. 2019, ICCE 2019 - 27th International Conference on Computers in Education, Proceedings, 2, 192 - 196, English

    [Refereed][Invited]

    International conference proceedings

  • Supporting Job-hunting Students to Learn Job-hunting Related Terms with SCROLL eBook and InCircle

    Noriko Uosaki, Kousuke Mouri, Takahiro Yonekawa, Chengjiu Yin, Hiroaki Ogata

    In this paper, we describe the support system for job-hunting students to learn job-hunting related terms using an eBook and a chat system. Job-hunting process is very unique and complicated in Japan. Job-hunting students face difficulties in many phases. Some job-hunting related terms are not used in daily conversation and very new to them. Therefore, it is necessary to support them. In fact, many universities in Japan have started providing their students with career education. The objective of this study is to examine whether or not the use of our chat system was effective in learning job-hunting related terms. The result of the evaluation showed there was no statistically significant difference. However the highest score was given when they were asked it's helpfulness.

    19 Nov. 2019, ICCE 2019 - 27th International Conference on Computers in Education, Proceedings, 1, 478 - 483, English

    [Refereed][Invited]

    International conference proceedings

  • An analysis of learning behavior patterns with different devices and weights

    Chengjiu Yin, Juan Zhou, Lingyu Li, Koudai Yamaguchi, Noriko Uosaki, Hiroaki Ogata

    With e-learning systems gradually being implemented, researchers worldwide have started devoting increasing attention to Learning Analytics. At Kobe university, a digital textbook reading system has been developed to collect learning logs in the face-to-face classroom. In a previous study, k-means clustering was implemented to analyze learning behavior patterns; however, there were problems such as few variables for clustering and a failure to consider weighting of the learning elements. Therefore, in this study we applied clustering by increasing the number of learning elements and assigned weights to the learning elements, then analyzed the learning behavioral patterns. We found some behavioral patterns of students who can save learning time if they effectively write memos and add markers.

    19 Nov. 2019, ICCE 2019 - 27th International Conference on Computers in Education, Proceedings, 1, 288 - 293, English

    [Refereed][Invited]

    International conference proceedings

  • C. C. Hsiao, Jeff C.H. Huang, Anna Y.Q. Huang, Owen H.T. Lu, C. J. Yin, Stephen J.H. Yang

    The flipped classroom pedagogy has been widely used recently. Despite many researches have paid attention with the learning outcome of flipped classroom, there has been limited attention in regard to investigate the relationship between learning behavior and learning outcomes in a flipped classroom. In this paper, we proposed to investigate the influence of online learning behaviors on short-term and long-term learning outcomes in a flipped classroom. This study used Calculus and grade point average (GPA) scores to represent short-term and long-term learning outcomes, respectively. Multiple linear regression indicated that students’ online learning behavior does not have a significant effect on short-term learning outcomes, but has a significant effect on long-term learning outcomes. For applying multiple correspondence analysis, students were divided into groups according to five grade levels based on their scores. According to GPA grade level, students’ online learning behaviors had a significant effect on long-term learning outcomes for the five groups (GPAa, GPAb, GPAc, GPAd, GPAe). According to their Calculus grade level, students’ online learning behaviors had a significant effect on short-term learning outcomes for three groups (CALa, CALd, and CALe), but two groups (CALb and CALc) did not demonstrate this trend. For exploring the effects of online learning behaviors on future learning outcomes, GPA can be considered representative because the GPA was calculated for the entire academic year 2015. Students in the CALa group exhibited the highest frequency of online learning behaviors and obtained the highest GPA grade levels (GPAa and GPAb). For the CALb, CALc, CALd, and CALe groups, students with a higher frequency of online learning behaviors obtained a higher GPA grade level. These results indicate that students’ online learning behaviors have a positive effect on future learning outcomes.

    Informa {UK} Limited, 17 Nov. 2019, Interactive Learning Environments, 27 (8), 1160 - 1177, English

    [Refereed]

    Scientific journal

  • Tosti Hsu Cheng Chiang, Stephen J.H. Yang, Chengjiu Yin

    Physical education emphasizes learning sports skills, which is why it is usually conducted in a face-to-face manner. Instructors focus on explaining rules and demonstrating moves, which the learners are required to repeat and imitate. Flipped classrooms have become a trend; thus, the present study investigated their influence on physical education. A mobile application for novice and advanced basketball players was developed and tested in a course teaching 3-on-3 basketball and various teaching methods were implemented to test for the effects of gender differences on learning outcome. The participants were students enrolled in the aforementioned course in a university in central Taiwan. 326 participants were included in the study, of whom 238 were male and 88 were female. The duration of the experiment was 5 weeks between May and June 2017, during which the correctness of moves, maneuverability, teamwork, sense of balance, and adaptability of the participants were evaluated and graded as their learning outcome. The research team observed the participants each week to gather empirical data for analysis. The results indicate that a mobile flipped classroom is the optimal teaching strategy, followed by projecting teaching; therefore, a mobile flipped classroom is the recommended approach to be integrated into physical education.

    Last, ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, 17 Nov. 2019, Interactive Learning Environments, 27 (8), 1093 - 1105, English

    [Refereed]

    Scientific journal

  • Gwo-Jen Hwang, Chengjiu Yin, Hui-Chun Chu

    ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, Nov. 2019, INTERACTIVE LEARNING ENVIRONMENTS, 27 (8), 991 - 994, English

    [Refereed]

    Scientific journal

  • Fumiya Suzuki, Kousuke Mouri, Atsushi Shimada, Noriko Uosaki, Chengjiu Yin, Keiichi Kaneko

    This paper describes a system that groups texts and objects in layout of slides. Layout of a slide is important to hold a presentation correctly. However, designing layout appropriately is difficult for beginners at making slides, like students. In addition, it is also difficult for them to check whether the layout of a slide is appropriate or not. To solve this problem, in this study, we developed a system that analyzes layout of a slide based on the positions of texts and shape objects. The system shows groups of texts each of which has common a topic. Beginners can realize mistakes of layout by comparing the output of the system and their intention.

    Jul. 2019, Proceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019, 1043 - 1044, English

    [Refereed]

    International conference proceedings

  • Chengjiu Yin, Masanori Yamada, Misato Oi, Atsushi Shimada, Fumiya Okubo, Kentaro Kojima, Hiroaki Ogata

    Online learning environments presently accumulate large amounts of log data. Analysis of learning behaviors from these log data is expected to benefit instructors and learners. This study was intended to identify effective measures from e-book materials used at Kyushu University and to employ these measures for analyzing learning behavioral patterns. In an evaluation, students were grouped into four clusters using k-means clustering, and their learning behavioral patterns were analyzed. We examined whether the learning behavioral patterns exhibited relations with the learning outcomes. The results reveal that the learning behavior of “backtrack” style reading exerts a significant positive influence on learning effectiveness, which can aid students to learn more efficiently.

    TAYLOR & FRANCIS INC, 16 Mar. 2019, International Journal of Human-Computer Interaction, 35 (4-5), 313 - 322, English

    [Refereed]

    Scientific journal

  • Zhuo Ren, Chengjiu Yin

    Learning Analytics have become mainstreams in many research fields. Although many researches have been done in LA, there are still numerous issues and challenges such as how to utilize LA results to support learning. In this paper, we proposed a feedback system based on a digital book system. And we also get some feedback about using the feedback system

    IEEE, 10 Jan. 2019, Proceedings - International Joint Conference on Information, Media and Engineering, ICIME 2018, 337 - 340, English

    [Refereed]

    International conference proceedings

  • Kousuke Mouri, Noriko Uosaki, Mohammad Hasnine, Atsushi Shimada, Chengjiu Yin, Keiichi Kaneko, Hiroaki Ogata

    This paper describes an automatic quiz generation system designed to support language learning that utilizes digital textbook logs. Learners often memorize words in digital textbooks while preparing for an examination, and they often use the highlight function for the words. Previous studies regarding annotations and highlights have shown that learning only by using the highlight function on important content in textbooks did not affect learning achievements. Therefore, in this study, we developed a system that can support the repeated learning by analyzing digital textbook logs and providing appropriate quizzes. An evaluation experiment involving 31 international students was conducted to assess whether the quizzes provided by our proposed system are able to enhance the learning achievements as compared to teacher-created quizzes. The results show that the quizzes by our proposed system and the teacher-created quizzes were both equally effective. A correlation analysis was conducted to identify the correlation among the learning achievements, the number of quizzes, and each variable in questionnaires. We found that there is a positive correlation between the number of quizzes and the students’ learning achievements.

    ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, 2019, Interactive Learning Environments, 29 (5), 1 - 14, English

    [Refereed]

    Scientific journal

  • Kousuke Mouri, Fumiya Suzuki, Atsushi Shimada, Noriko Uosaki, Chengjiu Yin, Keiichi Kaneko, Hiroaki Ogata

    This paper describes a method to collect data of which section of pages learners were browsing in digital textbooks without eye-tracking technologies. In previous researches on digital textbook systems, it was difficult to collect such data without using eye-tackers. However, eye-trackers cost a massive budget. Our proposed system automatically hides the texts in the digital textbooks with mask processing before the learners browse the texts in the digital textbooks. If they click the hidden texts, the system gets rid of the masks and the texts appear letter by letter. We used NMF to discover learners’ browsing patterns from the collected logs. Evaluation experiments were conducted to examine the effectiveness of our system in terms of fascination, understandableness and enhancement of thinking and to discover learners’ browsing patterns. It was found that our method could enhance thinking skills. A browsing pattern of diligent learners with high learning achievements was also found.

    ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, 2019, Interactive Learning Environments, 1 - 13, English

    [Refereed]

    Scientific journal

  • Yuxi Jin, Ping Li, Wenxiao Wang, Suiyun Zhang, Di Lin, Chengjiu Yin

    We design a generative adversarial network (GAN)-based pencil drawing learning system for art education on large image datasets to help students study how to draw pencil drawings for images and scenes. The system generates a pencil drawing result for a natural image based on GAN. The GAN network is trained on pencil drawing big datasets containing image pairs of natural images and their corresponding pencil drawings. Using the pencil drawing learning system, students can paint pencil drawings whenever they want and for whatever they like by uploading an image of the content they want to draw and getting a pencil drawing example of the uploaded image from the system. With the returned pencil drawing, students will see the pencil drawing effect of natural scenes clearly and realize how to draw the pencil drawing for the natural scene. Besides, with students using the pencil drawing learning system, it will be convenient for teachers assigning homework to students. Teachers can know the learning demands of students by evaluating the hand-in homework and update the content correspondingly. We have conducted two user studies for evaluating the practicality of the system, and the result of the two user studies demonstrated the applicability and practicality of the system.

    ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, 2019, Interactive Learning Environments, English

    [Refereed]

    Scientific journal

  • Chengjiu Yin, Zhuo Ren, Agoritsa Polyzou, Yong Wang

    Since various features have different degrees of association with learning outcome, it is necessary to evaluate each feature by giving a reasonable weight. In this paper, we propose a different weighting of the features, weighting the features is different from other researches, when we carry out Correlation Analysis between these features and grade achieved (in the end of the semester). By using this weighting of the features and the students’ grade achieved, we grouped students into five clusters and analyzed their learning behavioral patterns. We found some interesting patterns, such as the students who always use the MEMO or MAKERS function, always get better grade achieved.

    SPRINGER INTERNATIONAL PUBLISHING AG, 2019, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11587 LNCS, 471 - 480, English

    [Refereed]

    International conference proceedings

  • Noriko Uosaki, Kousuke Mouri, Fumiya Suzuki, Mohammad Nehal Hasnine, Takahiro Yonekawa, Chengjiu Yin, Hiroaki Ogata

    The breakthrough of information technology has accelerated the evolutionary change in teaching and learning methodologies. In particular, pervasion of high-efficiency smartphones has raised the potential to generate a new learning environment called seamless learning, which has been drawing much attentions from researchers in pedagogy of any domains. The Japanese government, in 2016, declared “Japan Revitalization Strategy 2016”. It includes the increasing of the number of foreign workers who gain employment in Japan after graduation. They set the goal from 30% to 50% of the international job hunting students find jobs in Japan. Therefore, career education for international students has become an urgent issue to tackle with in Japan. In fact, many universities in Japan have started providing international students with career education such as business Japanese, business communication and career design. Since Japanese job hunting process is very unique, most foreign students have anxieties about it. The objective of this study is to propose an effective business Japanese learning support system. Our ultimate goal is to contribute to the enhancement of their employment rate in Japan.

    SPRINGER INTERNATIONAL PUBLISHING AG, 2019, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11587 LNCS, 442 - 458, English

    [Refereed]

    International conference proceedings

  • Fumiya Suzuki, Kousuke Mouri, Noriko Uosaki, Atsushi Shimada, Chengjiu Yin, Keiichi Kaneko

    In recent times, researchers in pedagogy have focused on digital learning logs collected by learning tools such as Learning Management Systems and digital textbook systems. By analyzing and visualizing these, they aim to improve learning and/or teaching methodologies in the future. Using a digital textbook system, it is possible to collect information on which textbook pages were browsed by learners. However, these tools cannot decipher which zones of the textbook were browsed. In order to collect this information, eye-tracker technology would be necessary, but providing each learner with an eye-tracker would be too expensive. To solve this problem, a previous work proposed a method that used masks to detect and conceal each section of the slides in a digital textbook. The learner then clicked the masks one by one to delete them while browsing the contents of the digital textbook. By recording the learner’s clicking operations, the method collected information about the zones browsed by the learner. However, this method was found to cause a decline in learning achievement and system usability as a large number of zones were hidden. Therefore, we propose a grouping method, based on the layout information of the slides, in order to identify the appropriate zones to hide with masks.

    SPRINGER INTERNATIONAL PUBLISHING AG, 2019, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11587 LNCS, 430 - 441, English

    [Refereed]

    International conference proceedings

  • Kousuke Mouri, Zhuo Ren, Noriko Uosaki, Chengjiu Yin

    The analysis of learning behaviors from the log data of digital textbooks is beneficial for improving education systems. The focus of discussion in any analysis of learning behaviors is often on discovering the relationships between learning behavior and learning performance. However, little attention has been paid to investigating and analyzing learning patterns or rules among learning style of index (LSI), cognitive style of index (CSI), and the logs of digital textbooks. In this study, the authors proposed a method to analyze learning patterns or rules of reading digital textbooks. The analysis method used association analysis with the Apriori algorithm. The analysis was conducted using logs of digital textbooks and questionnaires to investigate students' learning and cognitive styles. From the detected meaningful association rules, this study found three student types: poorly motivated, efficient, and diligent. The authors believe that consideration of these student types can contribute to the improvement of learning and teaching.

    IGI GLOBAL, 01 Jan. 2019, International Journal of Distance Education Technologies, 17 (1), 1 - 14, English

    [Refereed]

    Scientific journal

  • Vivien Lin, Gi Zen Liu, Gwo Jen Hwang, Nian Shing Chen, Chengjiu Yin

    This review study investigates the appropriation of sensing technology in context-aware ubiquitous learning (CAUL) in the fields of sciences, engineering, and humanities. 40 empirical studies with concrete learning outcomes across mandatory and higher education have been systematically reviewed and thematically analyzed with an outcomes-based teaching and learning approach. Four derived themes have been found to describe the design and implementation of CAUL, including learner-centeredness, technological facilitation, learning ecology, and research evaluation. The learning processes enabled by context-aware sensing technology have been explicated, revealing specific ways to apply new technologies in formal and informal environments. The analysis based on intended learning outcomes suggest that more efforts should be directed to fostering competence in analyzing and creating in mandatory education, and to creating in tertiary settings. Finally, unequal distribution of CAUL implementation across world regions calls for more technological appropriation in Southeast Asia and Africa. Specific suggestions on how to improve CAUL are also provided to better prepare learners in the twenty-first century.

    ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, 2019, Interactive Learning Environments, English

    [Refereed]

  • How we can support international students' job hunting in Japan seamlessly

    Noriko Uosaki, Kousuke Mouri, Chengjiu Yin, Hiroaki Ogata

    This paper describes our study where we have aimed to support international students' job hunting in Japan with our developed career support system. Career support for international students in Japan is an urgent issue since it is a Japanese government policy to increase the number of international workers. A questionnaire survey revealed that top two anxieties that international students have were language-related and lack of information. The result of our previous evaluation demonstrated that the users benefited from the system, while it revealed some agendas to deal with. Reflecting its result, a new career support system is scheduled to be designed in 2018 aiming for the enrichment of the career support contents and enhancement of seamless interaction among users. It is expected to contribute to the enhancement of the employment rate of international students in Japan.

    ASIA PACIFIC SOC COMPUTERS IN EDUCATION, 24 Nov. 2018, ICCE 2018 - 26th International Conference on Computers in Education, Main Conference Proceedings, 527 - 529, English

    [Refereed]

    International conference proceedings

  • Seamless learning infrastructure for finding relationships between lectures and practical training

    Kousuke Mouri, Mohammad Nehal Hasnine, Takafumi Tanaka, Uosaki Noriko, Chengjiu Yin, Atsushi Shimada, Hiroaki Ogata

    This paper describes an infrastructure for seamless learning analytics to bridge digital textbook learning and practical training such as programming and conceptual modeling education. To realize the infrastructure for seamless learning analytics, we propose the integration of a digital textbook system into a software learning support system. By using our proposed infrastructure, all learning data will be sent by xAPI and collected in an independent LRS. We believe that analyzing and visualizing the relationships between the learning in the digital textbook system and practical training in the software learning support system leads to improving the quality of learning and teaching.

    ASIA PACIFIC SOC COMPUTERS IN EDUCATION, 24 Nov. 2018, ICCE 2018 - 26th International Conference on Computers in Education, Main Conference Proceedings, 530 - 532, English

    [Refereed]

    International conference proceedings

  • Analysis of behavior sequences of students by using learning logs of digital books

    Lingyu Li, Noriko Uosaki, Hiroaki Ogata, Kousuke Mouri, Chengjiu Yin

    Recently, many studies have analyzed digital textbook reading data by treating all events in the data stream as mutually independent of each other. However, there is a potential loss of information if all event indicators are analyzed independent of time or sequence. Therefore, in this study, a sequential analysis method is employed to analyze the sequential behavior of digital textbook reading logs. In order to collect students' learning logs with the same experimental design, we conducted two experiments in the years 2017 and 2018 during an educational technology course for graduate students. We conducted two comparisons of sequential behaviors. First, we compared the different sequential behaviors through different devices. Second, we compared the sequential behaviors of the students of years 2017 and 2018. We found some behavioral patterns that may help digital textbook system developers and instructional designers reach an in-depth understanding of the actual operations and behavioral patterns of learners.

    ASIA PACIFIC SOC COMPUTERS IN EDUCATION, 24 Nov. 2018, ICCE 2018 - 26th International Conference on Computers in Education, Main Conference Proceedings, 367 - 376, English

    [Refereed]

    International conference proceedings

  • Special Issue on Trends and Research Issues of Emerging Technologies to Enhance Learning

    Chengjiu Yin, Neil Yen, Qun Jin

    IGI GLOBAL, Oct. 2018, INTERNATIONAL JOURNAL OF DISTANCE EDUCATION TECHNOLOGIES, 16 (4), English

    [Refereed]

    Scientific journal

  • Kousuke Mouri, Noriko Uosaki, Atsushi Shimada, Chengjiu Yin, Keiichi Kaneko, Hiroaki Ogata

    This paper describes redesign of data collection in digital textbook systems. Previous studies in the digital textbook systems allow us to collect the data which pages learners were browsing in the digital textbooks. However, it is difficult to collect the data which positions of the pages learners were browsing in the digital textbooks unless using eye-tracking technologies. This study developed a digital textbook system called SEA (Smart E-textbook Application) to collect the data which positions of the pages the learners were browsing in the digital textbooks without eye-tracking technologies. The system automatically hides the texts in the digital textbook system with mask processing. An evaluation experiment was conducted to evaluate the user acceptance regarding our developed system.

    IEEE, 02 Jul. 2018, Proceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018, 942 - 943, English

    [Refereed]

    International conference proceedings

  • Noriko Uosaki, Kousuke Mouri, Chengjiu Yin, Hiroaki Ogata

    This paper describes our continuous study in which we have aimed to support international students' job hunting in Japan with our developed career support system. Career support for international students in Japan is an urgent issue since it is a Japanese government policy to increase the number of international workers. A questionnaire survey revealed that top two anxieties that international students have were language-related and lack of information. The result of our previous evaluation demonstrated that the users benefited from the system and that it will be expected to contribute to the solution of the two anxieties, while it revealed some agendas to deal with. Reflecting its result, a new career support system is scheduled to be designed in 2018 aiming for the enrichment of the career support contents and enhancement of seamless interaction among users. It is expected to support international students' job hunting process more effectively than our previous one.

    IEEE, 02 Jul. 2018, Proceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018, 374 - 377, English

    [Refereed]

    International conference proceedings

  • Atsushi Shimada, Fumiya Okubo, Chengjiu Yin, Hiroaki Ogata

    This paper is an extension of research originally reported in [1]. Here, we propose a novel method for summarizing lecture slides to enhance students' preview efficiency and understanding of the content. Students are often asked to prepare for a class by reading lecture materials. However, because the attention span of students is limited, this is not always beneficial. We surveyed 326 students regarding the preview of lecture materials, revealing a preference for summarized materials to preview. Therefore, we developed an automatic summarization method for condensing original lecture materials into a summarized set. Our proposed approach utilizes image and text processing to extract important pages from lecture materials, optimizing selection of pages in accordance with a specified preview time. We applied the proposed summarization method to a set of lecture slides. In an experiment with 372 students, we compared the effectiveness of the summarized slides and the original materials in terms of quiz scores, preview achievement ratio, and time spent previewing. We found that students who previewed the summarized slides achieved better scores on pre-lecture quizzes, even though they spent less time previewing the material.

    IEEE COMPUTER SOC, Apr. 2018, IEEE Transactions on Learning Technologies, 11 (2), 165 - 178, English

    [Refereed]

    Scientific journal

  • Learning Japanese Beyond the Classroom: Recommended CALL Tools

    Mehrasa Alizadeh, Parisa Mehran, Noriko Uosaki, Chengjiu Yin

    Mar. 2018, The Language Teacher (Journal), 42 (2), 26 - 28, English

    [Refereed]

    Scientific journal

  • 殷 成久, 熊本 悦子

    神戸大学大学教育推進機構, Mar. 2018, 大学教育研究, (26), 1 - 8, Japanese

  • Roles and strategies of learning analytics in the e-publication era

    Chengjiu Yin, Gwo Jen Hwang

    E-books have been introduced to educational institutions in many countries. The use of e-books in traditional classrooms enables the recording of learning logs. Recently, researchers have begun to carry out learning analytics on the learning logs of e-books. However, there has been limited attention devoted to understanding the types of learning strategies that students employ when they read e-books. In this paper, using e-book learning logs, we examine the learning strategies that students employed when reading e-books. In this paper, we will introduce how to identify learning strategies from e-book learning logs with two case studies. One is "Identifying Learning Strategies Using Clustering" and the other is "Examining Learning Strategies Using Sequential Analysis.".

    LABORATORY KNOWLEDGE MANAGEMENT & E-LEARNING UNIV, 2018, Knowledge Management and E-Learning, 10 (4), 455 - 468, English

    [Refereed][Invited]

    Scientific journal

  • Learning Analytics for Improving Learning Materials using Digital Textbook Logs

    Kousuke Mouri, Uosaki Noriko, Chengjiu Yin

    2018, Journal of Information Engineering Express, English

    [Refereed]

    Scientific journal

  • Discovering Hidden Browsing Patterns Using Non-Negative Matrix Factorization

    Kousuke Mouri, Atsushi Shimada, Chengjiu Yin, Keiichi Kaneko

    2018, International Conference on Educational Data Mining, English

    [Refereed]

    International conference proceedings

  • Kousuke Mouri, Noriko Uosaki, Mohammad Nehal Hasnine, Atsushi Shimada, Chengjiu Yin, Keiichi Kaneko, HiroakiOgata

    2018, World Conference on e-Learning

    [Refereed]

    International conference proceedings

  • Kousuke Mouri, Chengjiu Yin

    The purpose of this paper is to mine or detect meaningful information for improving learning materials using e-book-based logs. The analysis and visualization methods of this study use association analysis with Apriori algorithm. Logs for e-book-based learning analytics were collected in an e-book system. In order to analyze and visualize the collected logs, this paper proposes a system called SILM (System for Improving Learning Materials). Using SILM, instructors or teachers can find the learning materials that should be improved. We believe that improving learning materials with analyzing and visualizing educational big data lead to improving student results.

    IEEE, 15 Nov. 2017, Proceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017, 493 - 497, English

    [Refereed]

    International conference proceedings

  • Chengjiu Yin, Noriko Uosaki

    The group formation problem is a key problem in group learning. In this paper, we proposed a group formation system by using learning logs, which were collected from digital books system and Moodle system. We described the design and the usage of the system. In the future, we will evaluate the effective of this system.

    IEEE, 03 Aug. 2017, Proceedings - IEEE 17th International Conference on Advanced Learning Technologies, ICALT 2017, 320 - 321, English

    [Refereed]

    International conference proceedings

  • Chengjiu Yin, Jane Yin Kim Yau, Gwo Jen Hwang, Hiroaki Ogata

    This paper proposes a model, Recommendation of Appropriate Partners (RAP), used on a Social Networking Service (SNS) for locating appropriate “helpers” for users based on individual users’ Chain of Friends (CoF) relationships. Using the RAP model, individual users can participate in a collaborative online community in remote locations, whereby helpers are willing to help other users solve their tasks/problems, and it is intended that both the users and helpers gain knowledge from these interactive online sessions. An example of the RAP-based system was implemented to invite Program Committee members to an international conference. The system was evaluated and the experimental results show that our model is very effective for discovering collaboration partners and finding users with similar interests in order to create communities for providing future and longer-term helping exchange.

    SPRINGER, 01 May 2017, Multimedia Tools and Applications, 76 (9), 11531 - 11545, English

    [Refereed]

    Scientific journal

  • Noriko Uosaki, Takahiro Yonekawa, Chengjiu Yin

    This paper describes the development and evaluation of a chat system called InCircle. It is widely recognized in Japan that in-class learning time is far from sufficient in higher education, and it is highly necessary to promote out-of-class learning. In recent years, with the spreads of educational application of SNS (social network services), student-centred collaborative learning environment has been drawing attention. InCircle was introduced in a language and culture class at university in Japan in order to boost up out-of-class interaction among students and to enhance learning opportunities out-of-class. The result of the pilot evaluation showed that the number of the students' posting dramatically increased, while its out-of-class use was not active as expected.

    ASSOC COMPUTING MACHINERY, 25 Feb. 2017, CSCW 2017 - Companion of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, 17 (1), 331 - 334, English

    [Refereed]

    International conference proceedings

  • Gwo Jen Hwang, Hui Chun Chu, Chengjiu Yin

    Last, ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, 17 Feb. 2017, Interactive Learning Environments, 25 (2), 143 - 146, English

    [Refereed]

    Scientific journal

  • Noriko Uosaki, Takahiro Yonekawa, Chengjiu Yin

    This paper describes the development and evaluation of a chat system called InCircle. The importance of cultural understanding in the development of intercultural competence in foreign language learning has been pointed out for a long time. Besides, one of the trends in a pedagogical field is the shift from teacher-centerd to student-centered learning. Recent advancement of IT technology has accelerated its trend. With the spreads of educational application of SNS (social network services), it has enabled us to share information and knowledge in real time. In order to promote student-centered learning, it is necessary to facilitate interaction among students. For these purposes, InCircle was introduced in a language and culture class at university in Japan. The objectives of our research study is to examine whether InCircle contributes to the enhancement of mutual cross-cultural understanding and the facilitation of interaction among students. The number of the students’ posting dramatically increased after it was introduced compared with the blog comment function. The result of the questionnaire endorsed its usability and effectiveness as a communication tool.

    SPRINGER INTERNATIONAL PUBLISHING AG, 2017, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10397 LNCS, 145 - 152, English

    [Refereed]

    International conference proceedings

  • How to Mine Student Behavior Patterns in the Traditional Classroom

    Chengjiu Yin

    Many learning analyses focus on online learning courses, such as massive open online courses (MOOCs). The analysis of learning behaviors from access log data is expected to be of benefit to instructors and learners. However, there are few studies that focus on the reading logs of digital textbooks in the traditional classroom. This study adopts a new approach to analyzing learning behavior patterns through digital textbook use. Students were grouped into four clusters using k-means clustering to analyze their learning behavior patterns.

    ATLANTIS PRESS, 2017, PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON ADVANCED TECHNOLOGIES ENHANCING EDUCATION (ICAT2E 2017), 68, 103 - 106, English

    [Refereed]

    International conference proceedings

  • Relationship between Learning Achievement and Learning Strategies in the use of Digital Textbook Reading Logs

    Chengjiu Yin, Yong Wang

    Much research has used questionnaires to examine the effectiveness of preview/review strategies; however, it is difficult to find evidence of whether the students have actually done a preview/review or not, since the collection of questionnaire data is subjective. Through collecting learning log data, it is possible to gain objective data that provide evidence of preview/review. In this paper, we investigate the relationship between learning achievement and preview/review learning strategies through the use of the learning log data of digital textbooks. We found that the students' learning outcomes are affected by preview and review learning strategies.

    ATLANTIS PRESS, 2017, PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON ADVANCED TECHNOLOGIES ENHANCING EDUCATION (ICAT2E 2017), 68, 107 - 110, English

    [Refereed]

    International conference proceedings

  • Improving Teaching Materials through Digital Book Reading Log

    Zhuo Ren, Noriko Uosaki, Etsuko Kumamoto, Gi-Zen Liu, Chengjiu Yin

    Nowadays, it is easy to create digital books. However, through many university teachers create their own digital books as their teaching materials, it is difficult to evaluate and improve. In this paper, based on our previous research on the learning behavior analysis results, we prototype a digital book reading system and analyze the student reading logs and show how teachers can use the results to improve their teaching.

    ATLANTIS PRESS, 2017, PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON ADVANCED TECHNOLOGIES ENHANCING EDUCATION (ICAT2E 2017), 68, 90 - 96, English

    [Refereed]

    International conference proceedings

  • Learning behavioral pattern analysis based on students' logs in reading digital books

    Chengjiu Yin, Noriko Uosaki, Hui Chun Chu, Gwo Jen Hwang, Gi Zen Liu, Jau Jian Hwang, Itsuo Hatono, Etsuko Kumamoto, Yoshiyuki Tabata

    In this paper, we presented a study developing a digital textbook system, which could be used anywhere, anytime. An experiment was conducted using the developed system to collect students' learning logs for analyzing their behavioral patterns on an Educational Technology course for graduate students. In the experiment, we assigned the students to read an academic English journal article. The lag-sequential analysis method was employed to analyze and infer their behavioral patterns. Several interesting behavioral patterns were found from the analysis results. The findings are helpful to the improvement of the digital textbook system; moreover, some behavioral patterns could provide helpful references for teachers to improve teaching materials in the future.

    ASIA PACIFIC SOC COMPUTERS IN EDUCATION, 2017, Proceedings of the 25th International Conference on Computers in Education, ICCE 2017 - Main Conference Proceedings, 549 - 557, English

    [Refereed]

    International conference proceedings

  • Real-time analysis of digital textbooks: What keywords make lecture difficult?

    Kousuke Mouri, Atsushi Shimada, Chengjiu Yin, Uosaki Noriko, Vachirawit Tengchaisri, Keiichi Kaneko

    This paper describes a real-time learning analytics to find learning contents or keywords that students don't understand in digital textbooks. We developed a digital textbook viewer system that can collect students' learning logs. By analyzing and visualizing the collected learning logs in real time, teachers can visually find the keywords that students don't understand during a class. This paper describes the contribution of real-time learning analytics for supporting teachers.

    ASIA PACIFIC SOC COMPUTERS IN EDUCATION, 2017, Proceedings of the 25th International Conference on Computers in Education, ICCE 2017 - Main Conference Proceedings, 733 - 735, English

    [Refereed]

    International conference proceedings

  • Enhancing seamless learning using learning log system

    Noriko Uosaki, Hiroaki Ogata, Kousuke Mouri, Chengjiu Yin

    In this paper, we describe implementation of seamless language learning with a learning log system called SCROLL and an e-book system. Prevalence of high-performance mobile devices has enhanced the potential of seamless language learning environment. Seamless learning is an approach which enables learners to entwine various learning scenarios seamlessly. We have seen a good deal of technology-driven researches in this field. Our SCROLL project is among them. SCROLL is expected to facilitate learners to learn their target languages and language related knowledge in a seamless learning environment. The evaluation was conducted where SCROLL was introduced in Japanese language learning settings. The result of the evaluations revealed that the whole system had a high usability, and it helped users gain related knowledge seamlessly.

    ASIA PACIFIC SOC COMPUTERS IN EDUCATION, 2017, Proceedings of the 25th International Conference on Computers in Education, ICCE 2017 - Main Conference Proceedings, 529 - 538, English

    [Refereed]

    International conference proceedings

  • Profiling High-achieving Students using E-book-based Logs

    Kousuke Mouri, Chengjiu Yin, Fumiya Okubo, Atsushi Shimada, Hiroaki Ogata

    Apr. 2016, Cross-LAK2016, English

    [Refereed]

    International conference proceedings

  • Let’s Learn Business Japanese with Learning Log System and e-Book

    Noriko Uosaki, Mahiro Kiyota, Kousuke Mouri, Hiroaki Ogata, Chengjiu Yin

    2016, mLearn 2016, 265 - 272, English

    [Refereed]

    International conference proceedings

  • Measuring & Evaluating Digital Textbooks through Quizzes

    Chengjiu Yin, Jane Yin-Kim Yau, Noriko Uosaki, Sachio Hirokawa, Etsuko Kumamoto

    We currently utilize the Moodle learning management system for teachers and students who participate in the course 'College of Liberal Arts and Sciences' at Kobe University in Japan. Digital textbooks, reports, quizzes and questionnaires in this course were administered using Moodle. In this paper, we proposed to use quizzes to measure and evaluate those digital textbooks recorded on Moodle. At the beginning of our study, we examined the questions that students got lower scores, and then we found the related teaching materials of digital textbooks and feedback to the teachers in order to improve the content of these digital textbooks.

    ASIA PACIFIC SOC COMPUTERS IN EDUCATION, 2016, 24TH INTERNATIONAL CONFERENCE ON COMPUTERS IN EDUCATION (ICCE 2016), 374 - 379, English

    [Refereed]

    International conference proceedings

  • Measuring & evaluating digital textbooks through quizzes

    Chengjiu Yin, Jane Yin Kim Yau, Noriko Uosaki, Sachio Hirokawa, Etsuko Kumamoto

    We currently utilize the Moodle learning management system for teachers and students who participate in the course 'College of Liberal Arts and Sciences' at Kobe University in Japan. Digital textbooks, reports, quizzes and questionnaires in this course were administered using Moodle. In this paper, we proposed to use quizzes to measure and evaluate those digital textbooks recorded on Moodle. At the beginning of our study, we examined the questions that students got lower scores, and then we found the related teaching materials of digital textbooks and feedback to the teachers in order to improve the content of these digital textbooks.

    ASIA PACIFIC SOC COMPUTERS IN EDUCATION, 2016, ICCE 2016 - 24th International Conference on Computers in Education: Think Global Act Local - Main Conference Proceedings, 374 - 379, English

    International conference proceedings

  • 緒方 広明, 殷 成久, 大井 京, 大久保 文哉, 島田 敬士, 小島 健太郎, 山田 政寛

    Since April 2013, Kyushu University has stated Kikan Education for cultivating "active learners" for first year students.They have to bring their own PC in their classroom and use the educational platform system called M2B system that consists of Moodle, Mahara and Booklooper. BookLooper is an application for viewing digital teaching materials like PowerPoint slides and it can record their actions such as next page, previous page, and underline. This paper describes how active learners are actively using BookLooper by analyzing their learning behaviors.

    九州大学基幹教育院, 2016, 基幹教育紀要 = Bulletin of kikan education, 2, 48 - 60, Japanese

  • Ogata Hiroaki, Yin Chengjiu, Mouri Kousuke, Oi Misato, Shimada Atsushi, Okubo Fumiya, Yamada Masanori, Kojima Kentaro

    Educational Big Data (EBD) and Learning Analytics (LA) have being attracted enormous attention in recent years. Data collection process is the first step of EBD and LA. Based on the data source, data collection can be classified into two categories: manual data collection, and automatic data collection. This paper describes two educational systems: SCROLL (System for Capturing, Reusing, Reminding Of Learning Logs) as manual data collection and, M2B (Moodle, Mahara, Booklooper) as automatic data collection.

    Lead, Japanese Society for Information and Systems in Education, 2016, Transactions of Japanese Society for Information and Systems in Education, 33 (2), 58 - 66, Japanese

    [Invited]

  • Learning Activity Features of High Performance Students.

    Fumiya Okubo, Sachio Hirokawa, Misato Oi, Chengjiu Yin, Atsushi Shimada, Kentaro Kojima, Masanori Yamada, Hiroaki Ogata

    CEUR-WS.org, 2016, Proceedings of the First International Workshop on Learning Analytics Across Physical and Digital Spaces (CrossLAK 2016) co-located with 6th International Conference on Learning Analytics & Knowledge (LAK 2016), Edinburgh, Scotland, UK, April 25-29, 2016., 28 - 33

    [Refereed]

    International conference proceedings

  • Automatic generation of personalized review materials based on across-learning-system analysis

    Atsushi Shimada, Fumiya Okubo, Chengjiu Yin, Hiroaki Ogata

    In this paper, we propose a novel method to make a summary set of lecture slides for supporting students' review study. Quizzes are often conducted in a lecture to check students' understanding level. The aim of our study is to support a student who wrongly answers the quiz. The quiz statement is analyzed to extract nouns in the statement. Then, text mining is performed to find the pages related to the quiz statement in the relevant lecture materials. The proposed SummaryRank algorithm evaluates the topic similarity among pages in material with emphasizing the related page to the quiz statement. In addition, our proposed method considers the preview status of each student, resulting in the generation of adaptive review materials tailored for each student. Through experiments, we confirmed that the proposed method could find appropriate pages with respect to the quiz statements.

    CEUR-WS.org, 2016, CEUR Workshop Proceedings, 1601, 22 - 27

    [Refereed]

    International conference proceedings

  • Profiling High-achieving Students for E-book-based Learning Analytics.

    Kousuke Mouri, Chengjiu Yin, Fumiya Okubo, Atsushi Shimada, Hiroaki Ogata

    © Copyright 2016 for this paper by its authors. The purpose of this paper is to mine or detect meaningful learning patterns for profiling high-achieving students using e-book-based activity logs and questionnaire. The analysis of this study uses association analysis with Apriori algorithm. Logs for this analysis were collected from 99 first-year students who use a document viewer system called BookLooper, questionnaires and Moodle in an information science course at Kyushu University. From the results of the association analysis, we found that high-achieving students and BookLooer have significant relationships in terms of preparation and review time. This paper believes that the profiling and analysis can be used to predict their final grades and to detect effective learning patterns.

    CEUR-WS.org, 2016, Proceedings of the First International Workshop on Learning Analytics Across Physical and Digital Spaces (CrossLAK 2016) co-located with 6th International Conference on Learning Analytics & Knowledge (LAK 2016), Edinburgh, Scotland, UK, April 25-29, 2016., 1601, 5 - 9

    [Refereed]

    International conference proceedings

  • Masanori Yamada, Chengjiu Yin, Atsushi Shimada, Kentaro Kojima, Fumiya Okubo, Hiroaki Ogata

    This preliminary research investigates the relationship between psychometric data and learning behaviors in the learning analytics research field, specifically, the relationship between self-regulated learning and learning behavior. The results of this limited research show that marker and annotation use have a weak significant relationship with self-efficacy and the intrinsic value of learning materials.

    IEEE, 14 Sep. 2015, Proceedings - IEEE 15th International Conference on Advanced Learning Technologies: Advanced Technologies for Supporting Open Access to Formal and Informal Learning, ICALT 2015, 93 - 95, English

    [Refereed]

    International conference proceedings

  • Atsushi Shimada, Fumiya Okubo, Chengjiu Yin, Kentaro Kojima, Masanori Yamada, Hiroaki Ogata

    This paper discusses learning behavior analysis using a learning management system (LMS) and an e-textbook system. We collected a large number of operation logs from e-textbooks to analyze the process of learning. In addition, we conducted a quiz to check the level of understanding. In our study, we especially focus on an analysis of the relationship between learning behavior in informal learning and its effectiveness in the corresponding quiz. We apply a machine learning and classification methodology for behavior analysis. Our experimental results demonstrate that students who undertake good informal learning achieve better scores in quizzes.

    IEEE, 14 Sep. 2015, Proceedings - IEEE 15th International Conference on Advanced Learning Technologies: Advanced Technologies for Supporting Open Access to Formal and Informal Learning, ICALT 2015, 116 - 117, English

    [Refereed]

    International conference proceedings

  • Gwo-Jen Hwang, Hui-Chun Chu, Chengjiu Yin, Hiroaki Ogata

    ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, Mar. 2015, INTERACTIVE LEARNING ENVIRONMENTS, 23 (2), 127 - 129, English

    [Refereed]

    Scientific journal

  • Brendan Flanagan, Chengjiu Yin, Takahiko Suzuki, Sachio Hirokawa

    The native language of a foreign language learner can have an effect on the errors they make because of similarities or differences between the two languages. In order to provide effective error prediction and correction for nonnative English language learners it is important to identify their specific characteristic error patterns that are influenced by their native language. In this paper, we examine analyzing error detection scores to predict the native language of an English language learner. 15 categories of error detection scores are combined to create an error prediction score vector representation of each sentence. The native language is predicted by training an SVM classifier with the error vectors. The results are compared to an SVM classifier trained with just word representations of the learner writing sentences.

    SPRINGER-VERLAG BERLIN, 2015, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9192, 87 - 96, English

    [Refereed]

    International conference proceedings

  • Identifying and analyzing the learning behaviors of students using e-books

    Chengjiu Yin, Fumiya Okubo, Atsushi Shimada, Misato Oi, Sachio Hirokawa, Hiroaki Ogata

    Analyses on students' learning behaviors comprise an important thrust in education research. This study focused on e-books system used in the classroom and this system recorded students' learning logs in their daily academic life. These learning logs can be used to analysis students' learning behaviors. By performing partial correlation analysis, the study found that a number of learning behaviors have a significant relation with students' test scores.

    2015, Proceedings of the 23rd International Conference on Computers in Education, ICCE 2015, 118 - 120

    International conference proceedings

  • Cubic Gantt chart as visualization tool for learning activity data

    Shohei Nakamura, Kosuke Kaneko, Yoshihiro Okada, Chengjiu Yin, Hiroaki Ogata

    This paper proposes a new tool called Cubic Gantt Chart, 3D version of Gantt Chart for visualizing e-learning activity data such as how long and how often students look at each page of an e-learning material like PowerPoint slides. Using a dedicated tool called BookLooper can collect these activity data. The analysis of e-learning activity data is significant for instructors to understand students' learning states and the difficulty levels of e-learning materials because those can suggest more efficient instructional ways. So, in this paper, the authors propose Cubic Gantt Chart as a visualization tool for the analysis of students' e-learning activity data and justify its usefulness by showing visualization examples of actual data collected by BookLooper.

    2015, Workshop Proceedings of the 23rd International Conference on Computers in Education, ICCE 2015, 649 - 658

    International conference proceedings

  • Error log analysis for improving educational materials in C programming language courses

    Xinyu Fu, Chengjiu Yin, Atsushi Shimada, Hiroaki Ogata

    Many universities choose the C programming language (C) as the first programming language to teach to students. As novice programmers, students frequently make simple mistakes such as syntax and typographical errors. Students often find it difficult to locate these errors, as students are not yet thoroughly familiar with C's syntax. Usually educational materials are very useful tools for students to locate errors and find solutions. This study aims to facilitate teaching and learning of C. We propose a system that undergraduate novice programmers may use to easily locate syntax errors in C and get recommendations from educational materials. We analyze error logs of programming and reading logs of educational materials, with the learning by doing mode (learning-practicing-reflection) to discuss key findings and their implications for programming education.

    2015, Workshop Proceedings of the 23rd International Conference on Computers in Education, ICCE 2015, 412 - 417

    International conference proceedings

  • E-book-based learning analytics in University education

    Hiroaki Ogata, Chengjiu Yin, Misato Oi, Fumiya Okubo, Atsushi Shimada, Kentaro Kojima, Masanori Yamada

    This paper provides an overview of the Educational Big Data research project at Kyushu University, Japan. This project uses an e-book system called BookLooper. which allows students to browse e-books in Web browser, PC, mobile devices such as smartphone. This paper shows research issues in this project. Currently, about 2,700 first-year students are using the e-book system and approximately 2.2 million log data have been accumulated as of May 20, 2015. This paper describes why we introduce e-book in the University education and initial findings.

    2015, Proceedings of the 23rd International Conference on Computers in Education, ICCE 2015, 401 - 406

    International conference proceedings

  • Visualization supports for E-book users from meaningful learning perspective

    Jingyun Wang, Hiroaki Ogata, Cheng Jiu Yin, Atsushi Shimada

    In this paper, we present a meaningful learning environment to visually support e-book learners to effectively construct their knowledge framework. This personalized visualization support is intended to encourage learners to actively locate new knowledge in their own knowledge framework and check the logical consistency of their ideas for clearing up misunderstandings. On the other hand, we also propose to visually support e-book instructors to decide the group distribution for collaborative learning activities based on knowledge structure of learners. To facilitate those visualization supports, we present a method to semi-Automatically construct a course-centered ontology to describe the required information in a map structure.

    2015, Workshop Proceedings of the 23rd International Conference on Computers in Education, ICCE 2015, 643 - 648

    International conference proceedings

  • Analyzing the features of learning behaviors of students using e-Books

    Chengjiu Yin, Fumiya Okubo, Atsushi Shimada, Misato Oi, Sachio Hirokawa, Masanori Yamada, Kentaro Kojima, Hiroaki Ogata

    The analysis of learning behavior and identification of learning style from learning logs are expected to benefit instructors and learners. This study describes methods for processing learning logs, such as data collection, integration, and cleansing, developed in Kyushu University. The research aims to analyze learning behavior and identify students' learning style using student's learning logs. Students were clustered into four groups using k-means clustering, and features of their learning behavior were analyzed in detail. We found that Digital Backtrack Learning style is better than Digital Sequential Learning style.

    2015, Workshop Proceedings of the 23rd International Conference on Computers in Education, ICCE 2015, 616 - 626

    International conference proceedings

  • Visualization of e-Book learning logs

    Sachio Hirokawa, Chengjiu Yin, Jingyun Wang, Misato Oi, Hiroaki Ogata

    Learning environment with e-book enables learners to learn anytime and anywhere they like according to their own pace. There is a large expectation on e-book as personal learning tool. Understanding and grasping the learning status of students is crucial matter for teachers and for the learning system. Access log of e-books should be basis for analyzing the learning behavior. The authors are constructing an analysis system of learning logs kept in BookLooper system operated in Kyushu University. The present paper overviews the system and shows some "learning log graphs" which represent the learning process of students. The graphs tell which pages a student had difficulties and if the student grasps the thread of course as the teacher expected.

    2015, Workshop Proceedings of the 23rd International Conference on Computers in Education, ICCE 2015, 659 - 664

    International conference proceedings

  • Analysis of preview and review patterns in undergraduates' e-book logs

    Misato Oi, Fumiya Okubo, Atsushi Shimada, Chengjiu Yin, Hiroaki Ogata

    The purpose of this study is to investigate the relationship between academic achievement and learning patterns of students using e-book logs. Specifically, we examined patterns of students' e-book logs before and after the main content learning in class (that is, 'Preview' and 'Review'). Logs were collected from first-year students in an information science course at Kyushu University. To measure preview and review learning, we analyzed data using three types of measurement: Change indicates how many times a student changed e-books over the course of one hour. Duration indicates how many seconds a student access a given e-book for during one Change (i.e., one turn). Page flip indicates how many pages of a given e-book a student flipped through during one Change. To analyze the relationship between academic achievement and preview/review, the students were categorized into six groups according to their scores on midterm and final (term-end) examinations. For preview, students who had consistent good achievement showed higher values for all three measurements than students who showed poor achievement. In contrast, for review, none of the three measurements showed differences among the six groups. These results suggest that preview is more deeply relevant to academic achievement and assessment than review.

    2015, Proceedings of the 23rd International Conference on Computers in Education, ICCE 2015, 166 - 171

    International conference proceedings

  • Visualization and prediction of learning activities by using discrete graphs

    Fumiya Okubo, Atsushi Shimada, Chengjiu Yin, Hiroaki Ogata

    This paper presents a method for visualizing students' learning logs using discrete graphs. These logs contain the following four items: attendance, time spent browsing slides, submission of a report and the quiz score for each lesson. The data were collected using learning management systems and the e-text systems. By using these data, we construct graphs for each grade of which the nodes represent all combinations of achievements and failures for the four items. The graphs enable us to observe the features of students' learning activities for each obtained grade. The order in which the above four items are presented changes the visual features of the graph. Moreover, the construction of a graph from the data of the same class held previously enables us to inform students of the learning activities they should avoid. Finally, future research plans regarding this method are presented.

    2015, Proceedings of the 23rd International Conference on Computers in Education, ICCE 2015, 739 - 744

    International conference proceedings

  • Analysis of preview behavior in E-Book system

    Atsushi Shimada, Fumiya Okubo, Chengjiu Yin, Misato Oi, Kentaro Kojima, Masanori Yamada, Hiroaki Ogata

    This paper proposes a method to analyze preview behaviors of students using a learning management system (LMS) and an e-book system. We collected a large number of operation logs from e-books to analyze the process of learning. In addition, we conducted a quiz to test the level of understanding. This study especially focuses on an analysis of the relationship between learning behavior in preview and its effectiveness in the corresponding quiz. We apply a machine learning and classification methodology for behavior analysis. Experimental results report that students who undertake good preview achieve better scores in quizzes.

    2015, Workshop Proceedings of the 23rd International Conference on Computers in Education, ICCE 2015, 593 - 600

    International conference proceedings

  • Analysis of Links among E-books in undergraduates E-Book Logs

    Misato Oi, Chengjiu Yin, Fumiya Okubo, Atsushi Shimada, Kentaro Kojima, Masanori Yamada, Hiroaki Ogata

    The purpose of this study is to investigate the relationship between academic achievement and learning patterns of students using e-book logs. Specifically, we examined how students who maintain good academic achievement link among knowledge of different e-books. We hypothesized that good achievers might access e-books sequentially those were used in the same class session and/or consecutive class sessions, for systematically linking among the different knowledge of related e-books. Logs were collected from first-year students in an information science course at Kyushu University. The present study revealed that the good achievers more frequently linked e-books which were used in the same class sessions than the poor achievers. This result suggests that the good achievers more frequently linked knowledge of e-books which deeply related each other.

    2015, Workshop Proceedings of the 23rd International Conference on Computers in Education, ICCE 2015, 665 - 669

    International conference proceedings

  • Error log analysis in C programming language courses

    Xinyu Fu, Chengjiu Yin, Atsushi Shimada, Hiroaki Ogata

    Many universities choose the C programming language (C) as the first programming language to teach to students. As novice programmers, students frequently make simple mistakes such as syntax and typographical errors. Students often find it difficult to locate these errors, as students are not yet thoroughly familiar with C's syntax. This situation often causes students to consider programming very dull. It is therefore critical to provide clearer explanation in class, to prevent students losing interest in programming. This study aims to facilitate teaching and learning of C. We propose a system that undergraduate novice programmers may use to locate syntax errors in C. We analyze error types and resolutions using data collected during a programming course, and discuss key findings and their implications for programming education.

    2015, Proceedings of the 23rd International Conference on Computers in Education, ICCE 2015, 641 - 650

    International conference proceedings

  • Automatic summarization of lecture slides for enhanced student preview

    Atsushi Shimada, Fumiya Okubo, Chengjiu Yin, Hiroaki Ogata

    In this paper, we propose a novel method of summarizing lecture slides to enhance preview efficiency and improve students' understanding of the content. Students are often asked to prepare for a class by reading lecture materials. However, this does not always produce good results because the attention span of students is limited. We conducted a survey involving preview of lecture materials by more than 300 students and found that they want summarized materials to preview. Therefore, we developed an automatic summarization method to reduce the original preview materials to a summarized set. Our approach is based on the use of image processing and text processing to extract important pages from lecture materials, and then optimizing the selection of pages in accordance with a specified preview time. We applied the proposed summarization method to lecture slides. In our user study involving more than 300 students, we compared the relative effectiveness of the summarized slides and the original materials in terms of quiz scores, preview achievement ratio, and time spent previewing. We found that students who previewed the summarized slides achieved better scores on pre-lecture quizzes even though they spent less time previewing the material.

    2015, Proceedings of the 23rd International Conference on Computers in Education, ICCE 2015, 218 - 227

    International conference proceedings

  • Hyo Jeong So, Xiaoqing Gu, Tzu Chien Liu, Chengjiu Yin

    01 Jan. 2015, International Journal of Mobile Learning and Organisation, 9, 285 - 288, English

    Scientific journal

  • Chengjiu Yin, Yoshiyuki Tabata, Sachio Hirokawa

    Research trend survey is an essential preliminary step for any academic researches, but many beginning researchers have difficulty because they are still foreign to appropriate keywords in his/her research field. We constructed a support system for research trend surveys not only to accelerate the preliminary step but also to let students have a better grips of trend progresses and keyword transitions. Our system assumes a fair amount of data accumulation, for which we employed KAKEN database excerpts, but does not assume manual keyword registration or any other heuristic preprocesses: with an associative search module, it dynamically searches relevant words that are frequently used in the targeted academic field and gives users effective visualizations to understand trend transitions. Preliminary evaluations suggest that the trend transitions that our system presents are effective for trend surveys. © 2014 Springer-Verlag.

    Springer Verlag, 2014, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7697, 90 - 99, English

    [Refereed]

    International conference proceedings

  • Brendan Flanagan, Chengjiu Yin, Takahiko Suzuki, Sachio Hirokawa

    It is important for language learners to determine and reflect on their writing errors in order to overcome weaknesses. Each language learner has their own unique writing error characteristics and therefore has different learning needs. In this paper, we analyze the writing errors of foreign language learners on the language learning SNS website Lang-8 to investigate the characteristics of errors by native language. 142,465 sentences were collected from Lang-8 for analysis. For each native language, the predicted scores of 15 error categories from SVM machine learning models are used as a vector representation of each sentence. These score vectors are then clustered to determine error co-occurrence within the same sentence. The results were then analyzed to determine the error characteristics of different native languages.

    IEEE, 2014, 2014 IIAI 3RD INTERNATIONAL CONFERENCE ON ADVANCED APPLIED INFORMATICS (IIAI-AAI 2014), 318 - 323, English

    [Refereed]

    International conference proceedings

  • Sachio Hirokawa, Brendan Flanagan, Takahiko Suzuki, Chengjiu Yin

    When faced with complex situations, it can often be hard to put into words and accurately express it appropriately. This becomes increasingly difficult when specialist expressions are required that are not used in everyday language. The problem is faced when trying to express in words to another person the wine that you just drank, or a wine that you want to drink to a waiter at a restaurant or shop assistant. It requires the expression in words of numerous senses including complex flavors, smells, colors, and personal emotion that is felt. These expressions are often subjective, with different people having using different expressions for the same wine. In this paper, we propose the use of wine related expressions collected from the internet and clustered to generate mind maps.

    SPRINGER-VERLAG BERLIN, 2014, HUMAN INTERFACE AND THE MANAGEMENT OF INFORMATION: INFORMATION AND KNOWLEDGE IN APPLICATIONS AND SERVICES, PT II, 8522, 383 - 393, English

    [Refereed]

    International conference proceedings

  • Chengjiu Yin, Fumiya Okubo, Atsushi Shimada, Kentaro Kojima, Masanori Yamada, Hiroaki Ogata, Naomi Fujimura

    Nowadays, it is a hot topic to analyze the huge amount of data in the world. This issue also exists in the learning during students' life. The learning data are collected only to record students' learning status. As a result, most learning data are not used to improve the quality of learning for students. In this paper, we propose an order made education system, which can recommend students to select the courses they want to learn. In order to analyze students' learning behaviors, we collect students' learning data by using mobile devices.

    01 Jan. 2014, Proceedings of the 22nd International Conference on Computers in Education, ICCE 2014, 575 - 577

    International conference proceedings

  • Chengjiu Yin, Brendan Flanagan, Sachio Hirokawa

    Although previous research has demonstrated the benefits of the "learning by searching" strategy, there is a new problem which is how to measure and analyze the effectiveness of "Learning by Searching" behaviors. In this paper, by using the record of the students' learning history, we have proposed a SNSearch system to analyze student web-searching behaviors of "Learning by Searching".

    01 Jan. 2014, Proceedings of the 22nd International Conference on Computers in Education, ICCE 2014, 391 - 393

  • Brendan Flanagan, Chengjiu Yin, Takahiko Suzuki, Sachio Hirokawa

    2014, I. J. Knowledge and Web Intelligence, 5 (1), 21 - 35, English

    [Refereed]

    Scientific journal

  • Learning by Searching: A Learning Environment that Provides Searching and Analysis Facilities for Supporting Trend Analysis Activities

    Chengjiu Yin, Han-Yu Sung, Gwo-Jen Hwang, Sachio Hirokawa, Hui-Chun Chu, Brendan Flanagan, Yoshiyuki Tabata

    With the popularity of the Internet, online searching is becoming an important part of learning. In this paper, based on the "Learning by Searching" theory, a learning environment is developed, which includes a search engine to assist students in recognizing the progression of trends and keyword transitions for specific domains. To efficiently support research trend surveys, an automatic data accumulation and classification approach is proposed to construct the database excerpts instead of manual keyword registration or any other heuristic preprocesses. With an associative search module, the search engine dynamically searches for relevant words that are frequently used in the targeted academic field, and provides learners with effective visualizations to understand the trend transitions. An experiment has been conducted on a college information management course to show the effectiveness of the proposed approach. The experiment results show that the students who learned with the new approach had significantly better learning performance in terms of recognizing the trend transitions of the targeted issues than those who learned with conventional search engines.

    IEEE COMPUTER SOC, LEARNING TECHNOLOGY TASK FORCE, Jul. 2013, EDUCATIONAL TECHNOLOGY & SOCIETY, 16 (3), 286 - 300, English

    Scientific journal

  • Peer Knowledge Assisted Search Using Community Search Logs

    Brendan Flanagan, Takahiko Suzuki, Jun Zeng, ChengjiuYin, Toshihiko Sakai, Kiyota Hashimoto, Sachio Hirokawa

    May 2013, International Journal of Digital Information and Wireless Communications (IJDIWC), 3 (2), 1 - 8, English

    [Refereed]

    Scientific journal

  • Developing and Implementing a Framework of Participatory Simulation for Mobile Learning Using Scaffolding

    Chengjiu Yin, Yanjie Song, Yoshiyuki Tabata, Hiroaki Ogata, Gwo-Jen Hwang

    This paper proposes a conceptual framework, scaffolding participatory simulation for mobile learning (SPSML), used on mobile devices for helping students learn conceptual knowledge in the classroom. As the pedagogical design, the framework adopts an experiential learning model, which consists of five sequential but cyclic steps: the initial stage, concrete experience, observation and reflection, abstract conceptualization, and testing in new situations. Goal-based and scaffolding approaches to participatory simulations are integrated into the design to enhance students' experiential learning. Using the SPSML framework, students can experience the following: (1) learning in augmented reality by playing different participatory roles in mobile simulations in the micro-world on a mobile device, and (2) interacting with people in the real world to enhance understanding of conceptual knowledge. An example of the SPSML-based system was implemented and evaluated. The experimental results show that the system was conducive to the students' experiential learning and motivation. Moreover, the students who learned with the proposed approach gained significantly higher accuracy rates in performing the more complicated sorting algorithm.

    INT FORUM EDUCATIONAL TECHNOLOGY & SOC-IFETS, Apr. 2013, EDUCATIONAL TECHNOLOGY & SOCIETY, 16 (2), 137 - 150, English

    [Refereed]

    Scientific journal

  • Special issue on learning technologies and learning environments

    Hui Chun Chu, Chengjiu Yin

    2013, International Journal of Distance Education Technologies, 11 (4)

    Scientific journal

  • Special issue on technology-enhanced social learning

    Chengjiu Yin, Xinyou Zhao, Qun Jin

    Jan. 2013, International Journal of Distance Education Technologies, 11 (1), English

    [Refereed]

    Scientific journal

  • Supporting Foreign Language Learning using Mind-Maps

    Brendan Flanagan, Chengjiu Yin, Yohei Inokuchi, Sachio Hirokawa

    Corresponding, 2013, The Journal of Information and Systems in Education(JSiSE), 12 (1), 13 - 18, English

    [Refereed]

    Scientific journal

  • Brendan Flanagan, Chengjiu Yin, Takahiko Suzuki, Sachio Hirokawa

    An important issue in education systems is the ability to determine the characteristics of learners and then provide intelligent and informed guidance in response. The authors of this paper have a long-term research goal to provide language learners with the ability to determine and improving their weaknesses. However, to achieve this goal a sizable amount of manually classified data is required. The task is both time consuming and labor intensive. In this paper a system was built to help intelligently classify the errors in an English learner's writings into categories (Kroll 1990, Weltig 2004). Using a randomly selected manually classified sample as training data, it was determined that there is a positive correlation between the number of samples for each error category and the effectiveness of the model created by applying SVM machine learning to the writings of language learners on the Lang-8 website. It is intended that the classification results will be used to accelerate the manually process classification and increase the amount of training data available for use.

    IOS PRESS, 2013, INTELLIGENT INTERACTIVE MULTIMEDIA SYSTEMS AND SERVICES, 254, 174 - 183, English

    [Refereed]

    International conference proceedings

  • Brendan Flanagan, Takahiko Suzuki, Jun Zeng, Chengjiu Yin, Toshihiko Sakai, Kiyota Hashimoto, Sachio Hirokawa

    © 2013 SDIWC. Search engines have become an increasingly important educational tool. Finding information has become an easy exercise by just typing a few keywords into a search engine text-box. However, some people may not use a search engine effectively. Students may not know how to choose proper keywords. They may have difficulty in selecting the relevant information from millions of search results. In this paper, we propose a search engine system which shares search queries and browsing history among students. We call the search queries and browsing history "community search logs". This system analyzes the community search logs, and shares students' knowledge and experience to each other. Our purpose is with help students, especially those who are not good at searching, to improve their searching efficiency.

    01 Jan. 2013, 3rd International Conference on Digital Information Processing and Communications, ICDIPC 2013, 557 - 563

    International conference proceedings

  • Eisuke Ito, Brendan Flanagan, Chengjiu Yin, Tetsuya Nakatoh, Sachio Hirokawa

    Kyushu University installed a private cloud system, named "campus cloud system", using VCL and CloudStack. For a graduate school exercise course on web search engine, the authors prepared a virtual machine on VCL, which had apache web server and GETA indexer preinstalled. This paper introduces an outline of the cloud system, the exercise, and also reports advantages and disadvantages of cloud based education.

    01 Jan. 2013, Proceedings of the 21st International Conference on Computers in Education, ICCE 2013, 397 - 403

  • Chengjiu Yin, Jane Yin, Kim Yau, Sachio Hirokawa, Yoshiyuki Tabata

    It is necessary to perform a literature review before starting a new research project. However, many students do not know the procedures of performing a literature review. In this paper, based on the professional experiences and opinions of expert researchers, we describe an SNS-based literature review system to help students conduct research surveys. This system includes two search engines, one is an article search engine, which can help students conduct research surveys, and the other is a logging search engine, which allows students to learn from each other via their logs and share experience with other students. User models of the system as well as its functions are presented.

    01 Jan. 2013, Proceedings of the 21st International Conference on Computers in Education, ICCE 2013, 404 - 410

  • Chengjiu Yin, Brendan Flanagan, Sachio Hirokawa, Yoshiyuki Tabata

    It is very important for any academic researches to do research surveys. In this paper, we proposed an SNS based search engine to support doing research surveys, called SNSearch. Our SNSearch system not only supports analysis of research trends, but also offers learners opportunities to reflect on their search behaviors. By browsing the experts' survey history, students can learn search skills.

    IEEE COMPUTER SOC, 2013, 2013 SECOND IIAI INTERNATIONAL CONFERENCE ON ADVANCED APPLIED INFORMATICS (IIAI-AAI 2013), 183 - 186, English

    [Refereed]

    International conference proceedings

  • Brendan Flanagan, Chengjiu Yin, Sachio Hirokawa, Kiyota Hashimoto, Yoshiyuki Tabata

    In this paper, the entries of Lang-8, which is a Social Networking Site (SNS) site for learning and practicing foreign languages, were analyzed and found to contain similar rates of errors for most error categories reported in previous research. These similarly rated errors were then processed using an algorithm to determine corrections suggested by a native speaker. Subject matter experts then evaluated the processed sentences to determine the quality in relation to use in tests or exams for language learners. The method describes the automatic generation of multiple choice and fll-in-the-blanks quizzes using the writings of language learners on public web based learning sites, in order to support learner refection on corrections and practicing past errors to overcome problems. Copyright © 2013, IGI Global.

    IGI Global, 2013, International Journal of Distance Education Technologies, 11 (4), 63 - 80, English

    [Refereed]

    Scientific journal

  • Chengjiu Yin, Sachio Hirokawa, Jane Yin Kim Yau, Kiyota Hashimoto, Yoshiyuki Tabata, Tetsuya Nakatoh

    To help researchers in building a knowledge foundation of their research fields which could be a timeconsuming process, the authors have developed a Cross Tabulation Search Engine (CTSE). Its purpose is to assist researchers in 1) conducting research surveys, 2) efficiently and effectively retrieving information (such as important researchers, research groups, keywords), and also 3) providing analytical information relating to past and current research trends in a particular field. Their CTSE system employs data-processing technologies and emphasizes the use of a "Learn by Searching" learning strategy to support students to analyze such research trends. To show the effectiveness of CTSE, a pilot experiment has been conducted, where participants were assigned to do research survey tasks and then answer a questionnaire regarding the effectiveness and usability of the system. The results showed that the system has been helpful to students in conducting research surveys, and the research trend transitions that our system presented were effective for producing research trend surveys. Moreover, the results showed that most students had favorable attitudes toward the usage and usability of the system, and those students were satisfied in gaining more know ledge in a particular research field in a short period. Copyright © 2013, IGI Global.

    Jan. 2013, International Journal of Distance Education Technologies, 11 (1), 31 - 44, English

    [Refereed]

    Scientific journal

  • Learning by searching: A learning environment that provides searching and analysis facilities for supporting trend analysis activities

    Chengjiu Yin, Han Yu Sung, Gwo Jen Hwang, Sachio Hirokawa, Hui Chun Chu, Brendan Flanagan, Yoshiyuki Tabata

    With the popularity of the Internet, online searching is becoming an important part of learning. In this paper, based on the "Learning by Searching" theory, a learning environment is developed, which includes a search engine to assist students in recognizing the progression of trends and keyword transitions for specific domains. To efficiently support research trend surveys, an automatic data accumulation and classification approach is proposed to construct the database excerpts instead of manual keyword registration or any other heuristic preprocesses. With an associative search module, the search engine dynamically searches for relevant words that are frequently used in the targeted academic field, and provides learners with effective visualizations to understand the trend transitions. An experiment has been conducted on a college information management course to show the effectiveness of the proposed approach. The experiment results show that the students who learned with the new approach had significantly better learning performance in terms of recognizing the trend transitions of the targeted issues than those who learned with conventional search engines. © International Forum of Educational Technology & Society (IFETS).

    2013, Educational Technology and Society, 16 (3), 286 - 300, English

    [Refereed]

    Scientific journal

  • Sharing Knowledge and Experience of Search with SNS

    Xiaobin Wu, Jun Zeng, Chengjiu Yin, Sachio Hirokawa

    The investigation activities using a search engine are indispensable to acquisition of new knowledge. When we investigate using a search engine, we leave a memo if needed, seeing the search results to an input keyword. Depending on the case, search refinement and search by a new related keyword are repeated. However, it is difficult to share the knowledge and the experience acquired under investigation activities with the others. On the other hand, SNS which promotes relation with people and a person attracts attention. This paper proposes a community type search platform which combines a search engine and SNS. By seamless use of various activities in search and the mutual comments, users can share a problem or new knowledge.

    ALIFE ROBOTICS CO, LTD, 2012, PROCEEDINGS OF THE SEVENTEENTH INTERNATIONAL SYMPOSIUM ON ARTIFICIAL LIFE AND ROBOTICS (AROB 17TH '12), 101 - 104, English

    [Refereed]

    International conference proceedings

  • Automatic Generation of Tourism Quiz using Blogs

    Jun Zeng, Toshihiko Sakai, Chengjiu Yin, Takahiko Suzuki, Sachio Hirokawa

    The one-way information provision can not impress the listeners well. As an efficient way, Question & Answer can help information provider understand the response of listeners. However, it is not easy for everyone to set a suitable question. In this paper, we propose an automatic quiz generation system using tourism blogs. The system can generate the quiz by extracting feature words of the topic keyword from the blogs. Our purpose is to help the tourism information providers to advertise their tourism events in an interactive way, in order to impress the tourists. By comparing with other method of quiz generation, we demonstrate that our method is more suitable for information provision.

    ALIFE ROBOTICS CO, LTD, 2012, PROCEEDINGS OF THE SEVENTEENTH INTERNATIONAL SYMPOSIUM ON ARTIFICIAL LIFE AND ROBOTICS (AROB 17TH '12), 97 - 100, English

    [Refereed]

    International conference proceedings

  • Utilizing mobile technologies to realize "learning by doing"

    Chengjiu Yin

    2012, Joint Proceedings of the Work-in-Progress Poster and Invited Young Researcher Symposium at the 18th International Conference on Computers in Education, ICCE 2010, 83

    International conference proceedings

  • Nakatoh Tetsuya, 中藤哲也, Nakato Tetsuya, Yin Chengjiu, 殷成久, Hirokawa Sachio, 廣川佐千男

    2012, Procedingsof IIAI International Symposium on Applied Information (IIAI ISAI 2012), 2012, 26

    [Refereed]

  • Yin Chengjiu, 殷成久, Ito Eisuke, 伊東栄典, Nakatoh Tetsuya, 中藤哲也, Hirokawa Sachio, 廣川佐千男

    2012, Proceedings of iCAST 2011 (3rd International Conference on Awareness Science), 171

    [Refereed]

  • One-to-one classroom technologies transforming teaching and learning practice

    Chen Chung Liu, Hiroaki Ogata, Lung Hsiang Wong, Hui Chun Chu, Robin Lin, Noriko Uosaki, Chengjiu Yin

    2012, Joint Proceedings of the Work-in-Progress Poster and Invited Young Researcher Symposium at the 18th International Conference on Computers in Education, ICCE 2010, 77

    [Refereed]

    International conference proceedings

  • Brendan Flanagan, Chengjiu Yin, Sachio Hirokawa, Han Yu Sung, Gwo Jen Hwang

    Identifying research trends is an integral part of the planning phase of academic research and can be a daunting task for those not familiar with the process. This paper proposes the use of the Milky Way search engine to assist novice students who are beginning to undertake research. Using data-processing and data-mining techniques with data from SciVerse Scopus, the Milky Way search engine can provide students with a way to investigate research trends and test trend hypothesis' in their field. We evaluated the use of the Milky Way search engine in the field of mobile learning to analyze research trends. © 2012 IEEE.

    IEEE Computer Society, 2012, Proceedings 2012 17th IEEE International Conference on Wireless, Mobile and Ubiquitous Technology in Education, WMUTE 2012, 249 - 253, English

    [Refereed]

    International conference proceedings

  • Chengjiu Yin, Yan Dong, Yoshiyuki Tabata, Hiroaki Ogata

    In this paper, we propose a system based on hypothesis that when we ask for help from others, 1) the closer people are, the more easy it is to get help, 2) the more simple things are easier to get help with. We carried out a survey to examine the hypothesis. The results show that this hypothesis is correct. Based on this hypothesis, we proposed a social networking service site based on a mobile environment called SENSMILE, which supports learners to find a partner who can solve their problems at the online community, and an appropriate request chain of friends will be recommended upon their request by utilizing personal relationships. The system also supports for collaborative learning by using location based sensing information. © 2012 IEEE.

    IEEE Computer Society, 2012, Proceedings 2012 17th IEEE International Conference on Wireless, Mobile and Ubiquitous Technology in Education, WMUTE 2012, 137 - 141, English

    [Refereed]

    International conference proceedings

  • Webベースのクラス応答システム

    田畑 義之, 殷 成久

    日本ドイツ語情報処理学会, 2012, ドイツ語情報処理研究, (22), 1 - 10, Japanese

  • Chengjiu Yin, Sachio Hirokawa, Brendan Flanagan, Takahiko Suzuki, Yoshiyuki Tabata

    It is useful for learners to write in a foreign language and ask another person to correct it for them so they can know their mistakes. However, a problem for learners' is how to reflect on the correction of their problems and then master the mistake. In this paper, by analyzing the entries of Lang-8, which is a SNS site for learning and practicing foreign languages, we found the correspondence between original entries and the corrections. Based on this finding, a system was developed which can generate fill-in-the-blanks quizzes according to different situations, in order to support learner's reflection on correction and practicing so the mistake is no longer a problem. © 2012 IEEE.

    IEEE Computer Society, 2012, Proceedings of the 2012 IIAI International Conference on Advanced Applied Informatics, IIAIAAI 2012, 163 - 167, English

    [Refereed]

    International conference proceedings

  • Chengjiu Yin, Jane Yin Kim Yau, Yoshiyuki Tabata

    In this paper, we describe a novel model for locating appropriate 'helpers' for users based on the Chain of Friends (CoF) personal relationship in a SNS system, in order to locate appropriate 'helpers' for different users. This model is called SESNMM (Search Engine for Social Networked Mobile Model) and allows individual users, located in remote locations, to participate in a collaborative online community, via our SESNMM-based system. Such typical helpers are willing to help other users solve their tasks/problems and it is intended that both the users and helpers gain knowledge from these interactive online sessions. We have applied this model for inviting PC members of an international conference - namely LTLE 2012. The results showed that our model is very effective for discovering collaboration partners, locating useful helpers, finding users with similar interests in order to create communities for providing future and longer-term helping and teaching exchange. © 2012 Springer-Verlag.

    Springer, 2012, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7669 LNCS, 520 - 527, English

    [Refereed]

    International conference proceedings

  • Yuqin Liu, Chengjiu Yin, Hiroaki Ogata, Guojun Qiao, Yoneo Yano

    In traditional classes, having many questions from learners is important because these questions indicate difficult points for learners and for teachers. This paper proposes a FAQ-based e-Learning environment to support Japanese language learning that focuses on learner questions. This knowledge sharing system enables learners to interact and share information and knowledge through FAQ and e-mail. Teachers contribute answers to discussion among learners. The system also allows learners to discuss and collaborate, stimulating their motivation to study Japanese as a foreign language. All questions are stored in a FAQ database, allowing other learners to reuse resources, helping learners learn by themselves and reduce teacher workloads. Copyright © 2011, IGI Global.

    Jul. 2011, International Journal of Distance Education Technologies, 9 (3), 45 - 55, English

    [Refereed]

    Scientific journal

  • Oscar Fuhua Lin, Hiroaki Ogata, Chengjiu Yin, Xinyou Zhao, Ashraf Uddin Ahmed

    2011, Proceedings - 2011 IEEE International Conferences on Internet of Things and Cyber, Physical and Social Computing, iThings/CPSCom 2011

    International conference proceedings

  • Yin Chengjiu, 殷成久, Nakatoh Tetsuya, 中藤哲也, Nakato Tetsuya, Liu Xuan, Tabata Yoshiyuki, 田畑義之, Hashimoto Kiyota, 橋本喜代太, rs

    2011, Proceedings of the 19th International Conference on Computers in Education.

    [Refereed]

  • Chengjiu Yin, Yoshiyuki Tabata, Xiaobin Wu, Tetsuya Nakatoh, Sachio Hirokawa

    This paper targets the students, who are just beginning to engage in research. With the data-mining technologies, using the data of KAKEN (Grant-in-Aid for Scientific Research of Japan), according to students' learning styles and learners' knowledge levels, we propose to create a "Learning by Searching" search engine to provide suitable knowledge and help students to master research trends. "Learning by Searching" provides newly developed pedagogy to meet the knowledge needs of learners. © 2011 IEEE.

    IEEE Computer Society, 2011, Proceedings - 2011 IEEE International Conferences on Internet of Things and Cyber, Physical and Social Computing, iThings/CPSCom 2011, 558 - 563, English

    [Refereed]

    International conference proceedings

  • Sachio Hirokawa, Chengjiu Yin, Tetsuya Nakatoh

    A wrapper is a program that selectively extracts a necessary part (component) from Web pages. Automatic or semi-automatic wrapper construction is crucial to achieve a fine grained search engine for Web pages. However, this is not an easy task to achieve. This paper proposes a component-based search engine in which the content components gain a high score in the search results. Thus, the required segments for a query can be obtained without using a wrapper.

    IEEE, 2011, IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ 2011), 1074 - 1078, English

    [Refereed]

    International conference proceedings

  • Extraction and Comparison of Tourism Information on the Web

    Xiaobin Wu, Sachio Hirokawa, Chengjiu Yin, Tetsuya Nakatoh, Yoshiyuki Tabata

    The number of tourists to Japan from foreign countries is drastically increased in recent years. However, there is a scene where the traveler is made uneasy by differences between the word, the custom and the culture in traveling abroad. We are aiming at the construction the horizontal search engine intended for tourism information in the Kyushu region as a test case of a special vertical search engine. As the first step for the research, we extracted 312 events from a public tourism portal site and compared the ranking of each event in the site with that in the general search engine. We confirmed a weak correlation of the ranking. Moreover, we found that the big difference of rankings for the events with strong regionality. The number of tourists to Japan from foreign countries is drastically increased in recent years. However, there is a scene where the traveler is made uneasy by differences between the word, the custom and the culture in traveling abroad. We are aiming at the construction the horizontal search engine intended for tourism information in the Kyushu region as a test case of a special vertical search engine. As the first step for these the research, we extracted 312 events from a public tourism portal site and compared the ranking of each event in the site with that in the general search engine. We analyzed the correlation of the rankings and confirmed a weak correlation. In addition, it was also confirmed that there was a large gap for the events with strong regionality.

    ALIFE ROBOTICS CO, LTD, 2011, PROCEEDINGS OF THE SIXTEENTH INTERNATIONAL SYMPOSIUM ON ARTIFICIAL LIFE AND ROBOTICS (AROB 16TH '11), 170 - 173, English

    [Refereed]

    International conference proceedings

  • SNSによるモバイル言語学習環境の構築

    殷 成久, 田畑 義之, 緒方 広明

    日本ドイツ語情報処理学会, 2011, ドイツ語情報処理研究, (21), 27 - 36, Japanese

  • Yoshiyuki Tabata, Chengjiu Yin, Hiroaki Ogata, Yoneo Yano

    As an information mobile device, a mobile phone is an essential tool for student's daily life, and it can be used even in a short period of free time and anywhere such as in a train or in a bus. We propose an iPhone quiz system for learning foreign languages. This paper presents the design and the implementation of this system.

    IEEE, 2010, 2010 2ND INTERNATIONAL ASIA CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS (CAR 2010), VOL 3, 299 - 302, English

    [Refereed]

    International conference proceedings

  • 殷成久, 中藤哲也, 廣川佐千男

    2010, Proceedings: IITA International Joint Conference on Artificial Intelligence: JCAI, 178

    [Refereed]

  • Yin C, Tabata Y, Ogata H, Yano Y

    2010, Proceedings of the 18th International Conference on Computers in Education: Enhancing and Sustaining New Knowledge Through the Use of Digital Technology in Education, ICCE 2010, 457 - 460

    [Refereed]

  • Chengjiu Yin, Hiroaki Ogata, Yoshiyuki Tabata, Yoneo Yano

    In this paper, we propose a SNS (Social Networking Service) based ubiquitous environment for learning foreign languages called SONLUE. Learners use the SONLUE service to find a partner who can solve the language learning problems at the online community and an appropriate request chain of friends will be recommended upon their request. The learner can practice his second language with a native speaker who is learning his language. It allows members to interact and expand the network of friendship. This paper describes the design and the implementation of the system. © 2010 IEEE.

    IEEE Computer Society, 2010, 6th IEEE International Conference on Wireless, Mobile and Ubiquitous Technologies in Education, WMUTE 2010: Mobile Social Media for Learning and Education in Formal and Informal Settings, 189 - 191, English

    [Refereed]

    International conference proceedings

  • Chengjiu Yin, Hiroaki Ogata, Yoshiyuki Tabata, Yoneo Yano

    It is very difficult for the overseas students to learn Japanese polite expression (JPE) during their course of learning the Japanese language. In this paper, in order to support the foreigners learning JPEs anywhere anytime, we propose a ubiquitous language-learning environment which works without any input of the context information. In the traditional Japanese class, learners only learn the rule of the JPE. This environment can be seen as an extension of the traditional education and it guides the learners to use the appropriate JPE according to the different situations in the real world, at the same time, trains students’ ability and skill of using the JPE. We have implemented a prototype system for this environment, named JAPELAS, and JAPELAS2 is a one-to- many system which is upgraded based on JAPELAS and it supports learners interacting with many persons in the same situation. This paper presents the design implementation and evaluation of the JAPELAS2. © 2010 Inderscience Enterprises Ltd.

    2010, International Journal of Mobile Learning and Organisation, 4 (2), 214 - 234, English

    [Refereed]

    Scientific journal

  • Hiroaki Ogata, Chengjiu Yin, Moushir M. El-Bishouty, Yoneo Yano

    2010, Int. J. Learn. Technol., 5 (1), 5 - 24, English

    [Refereed]

    Scientific journal

  • 携帯電話を利用した外国語学習支援ツールの開発

    田畑 義之, 殷 成久, 緒方 広明

    日本ドイツ語情報処理学会, 2010, ドイツ語情報処理研究, (20), 15 - 22, Japanese

  • Chengjiu Yin, Yoshiyuki Tabata, Hiroaki Ogata

    In this paper, we propose a collaborative learning service in ubiquitous environment for social networking service (SNS). The main characteristic of the service is that the users use the service to search the person who can solve the problem, and an appropriate request chain of friends (CF) will be recommended, upon their request. It allows the members to interact and expand the network of friendship. It provides the Knowledge Awareness (KA) to enhance and collaborative learning and support the sharing and creation of the knowledge.

    IEEE COMPUTER SOC, 2009, 2009 WASE INTERNATIONAL CONFERENCE ON INFORMATION ENGINEERING, ICIE 2009, VOL II, 176 - +, English

    [Refereed]

    International conference proceedings

  • Chengjiu Yin, Yoshiyuki Tabata, Hiroaki Ogata

    Understanding linguistic culture is indispensable to learn foreign language. In Japanese language learning, polite expressions are related to Japanese culture closely, we proposed to design a context-awareness ubiquitous learning environment for Japanese polite expressions learning. In this paper we will address how we designed this environment for supporting the collaborative learning according to the feature of the Japanese polite expressions, and present the implementation and evaluation of the environment.

    IEEE COMPUTER SOC, 2009, WISM: 2009 INTERNATIONAL CONFERENCE ON WEB INFORMATION SYSTEMS AND MINING, PROCEEDINGS, 454 - +, English

    [Refereed]

    International conference proceedings

  • Yuqin Liu, Chengjiu Yin, Hiroaki Ogata

    This paper proposes a question and answer e-Learning system for Japanese language learning. Utilizing the system, learners ask the questions and teachers answer the question. This is an asynchronous and synchronous teaching-learning environment. To alleviate the burden of teachers, the system checks whether there is a same Q&A in FAQ or not, if the same Q&A exists, then the system answers the question automatically. We also found that the learning effects are related to the times for taking part in the discussions. In this paper, we describe the design, implementation and evaluation of the system.

    IEEE COMPUTER SOC, 2009, 2009 WASE INTERNATIONAL CONFERENCE ON INFORMATION ENGINEERING, ICIE 2009, VOL II, 422 - +, English

    [Refereed]

    International conference proceedings

  • Yin C, Tabata Y, Ogata H, Yano Y

    2009, Proceedings of the 17th International Conference on Computers in Education, ICCE 2009, 569 - 573

    [Refereed]

  • Tabata Y, Yin C, Ogata H, Yano Y

    2009, Proceedings of the 17th International Conference on Computers in Education, ICCE 2009, 603 - 607

    [Refereed]

  • 外国語教育支援用クイズ出題システム

    田畑 義之, 殷 成久, 緒方 広明

    九州大学, 2009, 言語科学, (44), 75 - 81, Japanese

  • Chengjiu Yin, Hiroaki Ogata, Yoneo Yano

    In traditional education, most of the communication is one-way, where the teacher teaches and the students listen. The students are therefore less motivated to learn. In this chapter, we use the scaffolding technique to design an interactive simulation framework called SPS (scaffolding participatory simulation) for collaborative learning. Based on the SPS framework, a system called PLASPS (PDA-based learning algorithm system using participatory simulation) was developed to help students learn about sorting algorithms. Using this system, the teacher can assign tasks to their students and ask them to sort a list of numbers according to a certain algorithm. Learners then collaborate together to complete the task. The system checks the result and provides feedback to the students if there is a mistake with the positions of the numbers. The learners then correct the number positions and send the result back to the system. The collaborative activities and discussions, along with information about any errors, help the students to understand the sorting algorithm. © 2009, IGI Global.

    IGI Global, 2008, Innovative Mobile Learning: Techniques and Technologies, 197 - 214, English

    [Refereed]

    In book

  • Hiroaki Ogata, Gan Li Hui, Chengjiu Yin, Takahito Ueda, Yasuko Oishi, Yoneo Yano

    This paper describes a Computer-Supported Mobile Learning (CSML) environment for language learning, called Language-learning Outside the Classroom with Handhelds (LOCH). In the environment, the teacher assigns field activities to the students, who go around the town to fulfil them and share their individual knowledge and experiences. The main aim of this project, called One-Day Trip with PDA, was to integrate the knowledge acquired in the classroom and the real needs of the students in their daily life. This paper also presents the evaluation by five different groups of foreign students for the past three years. © 2008 Inderscience Enterprises Ltd.

    2008, International Journal of Mobile Learning and Organisation, 2 (3), 271 - 282, English

    [Refereed]

    Scientific journal

  • JAPELAS2: Japanese Polite Expressions Learning Assisting System in Ubiquitous Environments

    Chengjiu Yin, Hiroaki Ogata, Yuqin Liu, Yoneo Yano

    This paper proposes a PDA-based language learning system for Japanese polite expressions. To support the foreigners learning Japanese polite expressions, we had implemented a PDA-based system, called Japanese polite expressions learning assisting system (JAPELAS) [11]. JAPELAS is a one-to-one system, and it works without any input of the context information. Based on the JAPELAS, now we propose architecture of new one-to-many system called JAPELAS2, where the learner can interact with many persons in the same situation. Learners call use JAPELAS2 to review the history records that they have learned.

    IOS PRESS, 2007, SUPPORTING LEARNING FLOW THROUGH INTEGRATIVE TECHNOLOGIES, 162, 471 - 478, English

    [Refereed]

    International conference proceedings

  • Computer Supported Ubiquitous Learning Environment for Japanese Mimicry and Onomatopoeia with Sensors

    Hiroaki Ogata, Tomoo Kondo, Chengjiu Yin, Yuqin Liu, Yoneo Yano

    This paper proposes a computer supported ubiquitous learning environment for language learning. Especially, this paper describes context-aware language-learning support system for learning Japanese mimicry and onomatopoeia (MIO) words, which is called JAMIOLAS (Japanese Mimicry and Onomatopoeia Learning Assisting System). This system provides learner the appropriate MIO expressions deriving the learner's situation and sensor data. Phidgets is used as sensors in order to get real-world data from the physical world, e.g., temperature, humidity, etc. This paper describes the implementation, the interface and usage scenario of JAMIOLAS.

    IOS PRESS, 2007, SUPPORTING LEARNING FLOW THROUGH INTEGRATIVE TECHNOLOGIES, 162, 463 - 470, English

    [Refereed]

    International conference proceedings

  • Chengjiu Yin, Hiroaki Ogata, Yoneo Yano

    This paper proposes a participatory simulation framework using the fundamental concepts in scaffolding and fading to support computer science learning called Learning Computer Science using Participatory Simulation (LCSPS). As an implementation, this framework is the basic for creating the Algorithms for Optimisation and Simulation (ALGOS) (PDA-based Learning Algorithms System) system to support learning sorting algorithm. Using ALGOS, the teacher can assign tasks to learners and ask them to do the task. Learners receive these tasks, collaborate together and exchange their physical positions according to the task assigned. The main purpose of ALGOS is to help the learners to deeply understand the feature of the algorithms. © 2007 Inderscience Enterprises Ltd.

    Lead, 2007, International Journal of Mobile Learning and Organisation, 1 (3), 288 - 304, English

    [Refereed]

    Scientific journal

  • JAMIOLAS: supporting Japanese mimesis and onomatopoeia learning with sensors

    緒方 広明, 近藤 智央, 殷 成久

    教育システム情報学会編集事務局, 2007, Transactions of Japanese Society for Information and Systems in Education, 24 (4), 333 - 342, Japanese

  • Hiroaki Ogata, Chengjiu Yin, Yoneo Yano

    This paper proposes a computer supported ubiquitous learning environment for language learning. Especially, this paper describes context-aware language-learning support system for learning Japanese mimicry and onomatopoeia (MIO) words, which is called JAMIOLAS (Japanese Mimicry and Onomatopoeia Learning Assisting System). This system provides learner the appropriate MIO expressions deriving the learner's situation and sensor data. Phiagets is used as sensors in order to get real-world data from the physical world, e.g., temperature, humidity, etc. This paper describes the implementation, the interface and usage scenario of JAMIOLAS.

    IEEE COMPUTER SOC, 2006, FOURTH IEEE INTERNATIONAL WORKSHOP ON WIRELESS, MOBILE AND UBIQUITOUS TECHNOLOGY IN EDUCATION, PROCEEDINGS, 111 - +, English

    [Refereed]

    International conference proceedings

  • Hiroaki Ogata, Chengjiu Yin, Rosa G. J, Paredes, Nobuji A. Saito, Yoneo Yano, Yasuko Oishi, Takahito Ueda

    IEEE Computer Society, 2006, Proceedings of the 6th IEEE International Conference on Advanced Learning Technologies, ICALT 2006, Kerkrade, The Netherlands, July 5-7, 2006, 928 - 932

    [Refereed]

  • Chengjiu Yin, Hiroaki Ogata, Tomonobu Sasada, Yoneo Yano

    IEEE Computer Society, 2006, Proceedings of the 6th IEEE International Conference on Advanced Learning Technologies, ICALT 2006, Kerkrade, The Netherlands, July 5-7, 2006, 843 - 844

    [Refereed]

  • PDA-based Participatory Simulation for Learning Algorism

    OGATA Hiroaki, SASADA Tomonobu, YIN Chengjiu, YANO Yoneo

    本論文では,コンピュータ科学の一分野であるアルゴリズムの学習を、PDAを用いて支援するソフトウェアについて述べる。具体的には、ソートのアルゴリズムを学習する際、PDAを用いて各学習者がインタラクティブにシミュレーションを行い、試行錯誤しながら、アルゴリズムの理解を深める、という参加型シミュレーション環境を提案する。

    一般社団法人日本科学教育学会, 31 Aug. 2005, Proceedings of the Annual Meeting of Japan Society for Science Education, 29, 123 - 124, Japanese

  • RG Paredes, H Ogata, NA Saito, CJ Yin, Y Yano, Y Oishi, T Ueda

    The continuous development of wireless and mobile technologies has allowed the creation of an additional platform for supporting learning, one that can be embedded in the same physical space in which the learning is taking place. This paper describes a computer supported ubiquitous learning environment for language learning, called LOCH (Languag-elearning Outside the Classroom with Randhelds). In the environment, the teacher assigns field activities to the students, who go around the town to fulfill them and share their individual experiences. The main aim of this project, called One Day Trip with PDA (Personal Digital Assistant), was to integrate the knowledge acquired in the classroom and the real needs of the students in their daily life.

    IEEE COMPUTER SOC, 2005, IEEE INTERNATIONAL WORKSHOP ON WIRELESS AND MOBILE TECHNOLOGIES IN EDUCATION, PROCEEDINGS, 2005, 182 - 186, English

    [Refereed]

    International conference proceedings

  • JAPELAS: Supporting Japanese Polite Expressions Learning Using PDA towards Ubiquitous Learning

    Chengjiu Yin, Hiroaki Ogata, Yoneo Yano

    Jan. 2005, Journal of Information and Systems in Education, 3 (1), 33 - 39, English

    [Refereed]

    Scientific journal

  • Chengjiu Yin, Hiroaki Ogata, Yoneo Yano

    In recent years, with the popular use of the cell phone and mobile terminals such as smart PDA (personal digital assistant) which can communicate in mobile terminal wirelessly, and also with the growing of home internet appliances and the commodity of RFID tags, it will be possible to realize the intelligence exchange with surrounding matters. Under this situation, the information from Internet is being transported easily; moreover, the realization of cordless navigating GPS based on satellites may use RFID tags and GPS to locate. To support the foreigners to learn Japanese polite expressions, we had implemented a PDA-based language learning supporting system of Japanese polite expressions learning, named Japanese polite expressions learning assisting system (JAPELAS) [14]. Base on the JAPELAS, we will develop a new system named Ubiquitous-Learning System for the Japanese Polite Expressions (ULSJPE), which study on solving the problem about how to use system effectively.

    IEEE COMPUTER SOC, 2005, IEEE INTERNATIONAL WORKSHOP ON WIRELESS AND MOBILE TECHNOLOGIES IN EDUCATION, PROCEEDINGS, 269 - 273, English

    [Refereed]

    International conference proceedings

  • Fuzheng Zhao, Etsuko Kumamoto, Chengjiu Yin

    As a kind of data that can reflect learning status, e-book logs have been widely used in learning analytics, especially for the prediction of academic performance. However, the best prediction model cannot be found without determining the contribution of e-book logs to the prediction performance of the model and its creation process. To this end, this study used the scikit-learn, a free software machine learning library, to analyze learning performance of 234 participants by learning behavior logs, which were collected by an e-book system. Finally, six prediction models containing Decision Tree, Random Forests, XGBoost, Logistic Regression, Support Vector Machines, and K-nearest Neighbors were created. Also, the contribution of e-book logs on the establishment of different prediction models was obtained by three feature importance calculation methods, i.e., the impurity-based feature importance, coefficients feature importance, and permutation feature importance. Based on statistical results, it was concluded that the Decision Tree and Random Forests had the best prediction performance, which was compared to the other four models, with prediction performance scores ranging from 0.7 to 0.8. Besides, the four data features of Prev, Highlight, Maker, and Next were found to have the greatest impact on model prediction creation.

    Jul. 2021, Proceedings - IEEE 21st International Conference on Advanced Learning Technologies, ICALT 2021, 187 - 189

    [Refereed]

    International conference proceedings

  • Bo Jiang, Wei Zhao, Xiaoqing Gu, Chengjiu Yin

    Social learning theory posits that learning is most effective when providing learners with opportunities to observe and interact with peers. Unfortunately, current K-12 programming education overemphasizes individual learning and discourages learners from observing and interacting with others. The Scratch online community provides youth opportunities to actively participate in the community by allowing them to observe and interact with others. However, it is unclear what motivates learners' active participation in the Scratch online community. With a large-scale database with more than two hundred thousand Scratch projects, this study explored the impact of the computational thinking reflected in Scratch projects on users' participation. We examined Scratch's online users' computational thinking profile via clustering analysis on the projects they created, then studied the influence of computational thinking level reflected in projects on the users' participation through causal analysis. The clustering analysis revealed three clusters of learners, and the advanced learners did not create more projects than others but their projects attract more participation from peers. Our statistic analysis finds a low to moderate strength of correlation between the computational thinking level reflected in projects and their popularity. However, the further causal analysis suggests that the computational thinking level reflected in projects fails to causally affect learners' participation. Our results suggest that instructors should not only attach importance to the development of basic CT skills of youth but also do well to find ways to get youth to participate actively in social interaction activity during the programming process.

    Last, SPRINGER, Jun. 2021, ETR&D-EDUCATIONAL TECHNOLOGY RESEARCH AND DEVELOPMENT, English

    [Refereed]

    Scientific journal

MISC

  • 島田 敬士, 大久保 文哉, 殷 成久, 緒方 広明

    特集「ラーニング・アナリティクス最前線」

    大阪大学サイバーメディアセンター, Mar. 2018, サイバーメディア・フォーラム, (18), 17 - 23, Japanese

  • デジタル教科書のログを用いた自動クイズ生成システムの開発と評価

    毛利考佑, 島田敬士, YIN Chengjiu, 魚崎典子, 金子敬一, 緒方広明

    2018, 教育システム情報学会全国大会講演論文集(CD-ROM), 43rd, ROMBUNNO.P1‐13, Japanese

  • 非負値行列因子分解を用いたデジタル教科書におけるスクラッチ機能の閲覧パターン分析

    毛利考佑, 島田敬士, 殷成久, 魚崎典子, 金子敬一, 緒方広明

    2018, 情報処理学会研究報告(Web), 2018 (CLE-25), Vol.2018‐CLE‐25,No.10,1‐6 (WEB ONLY), Japanese

  • TP-1-5 Learning Analytics in Kyushu University

    Shimada Atsushi, Okubo Fumiya, Yin Chengjiu, Oi Misato, Kojima Kentaro, Yamada Masanori, Ogata Hiroaki

    The Institute of Electronics, Information and Communication Engineers, 01 Mar. 2016, Proceedings of the IEICE Engineering Sciences Society/NOLTA Society Conference, 2016 (1), "SSS - 106"-"SSS-107", Japanese

  • TK-10-4 Learning Analytics in University Education

    Ogata Hiroaki, Yin Chengjiu, Oi Misato, Okubo Fumiya, Shimada Atsushi, Kojima Kentaro, Yamada Masanori

    The Institute of Electronics, Information and Communication Engineers, 01 Mar. 2016, Proceedings of the IEICE Engineering Sciences Society/NOLTA Society Conference, 2016 (1), "SSS - 92"-"SSS-93", Japanese

  • Automatic Summarization of Lecture Slides

    島田 敬士, 大久保 文哉, 殷 成久

    電子情報通信学会, 14 Sep. 2015, 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 115 (225), 91 - 96, Japanese

  • Automatic Summarization of Lecture Slides

    島田 敬士, 大久保 文哉, 殷 成久

    電子情報通信学会, 14 Sep. 2015, 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 115 (224), 91 - 96, Japanese

  • Editorial

    Hyo Jeong So, Xiaoqing Gu, Tzu Chien Liu, Chengjiu Yin

    2015, International Journal of Mobile Learning and Organisation, 9 (4), 285 - 288

    Book review

  • Analyzing Learning Behavior of Educational Digital Contents

    HIROKAWA Sachio, YIN Chengjiu, SHIMADA Atsushi, OKUBO Fumiya, OGATA Hiroaki

    九州大学では平成25 年4 月から、学生全員のPC 必携化を行っている。これによりe-Learning を含む教育の情報化が進み、教育に関する様々なデータが蓄積されている。本稿では、教育用デジタルコンテンツ配信プラットフォームBookLooper(注1) を利用した半期の講議について、コンテンツ配信・閲覧の利用ログに対してテキストマイニングを適用することで、学習項目や学生や利用ソフトウェアごとの学習活動の特徴と違いを抽出した。

    The Institute of Electronics, Information and Communication Engineers, 27 Nov. 2014, IEICE technical report. Artificial intelligence and knowledge-based processing, 114 (339), 31 - 35, Japanese

  • Building a Learning Environment for Supporting Literature Review

    殷 成久, 廣川 佐千男, 柏原 昭博

    教育システム情報学会, Nov. 2013, 教育システム情報学会研究報告 = JSiSE research report, 28 (4), 37 - 40, Japanese

  • クラウド型教育環境での検索エンジン構築演習

    伊東 栄典, Flanagan Brendan, 殷 成久, 廣川 佐千男, Ito Eisuke, Flanagan Brendan, Yin Chenge, Hirokawa Sachio

    近 年,大学における情報機器を援用する教育活動や,情報科学技術の教育で,仮想化システムやクラウドシステムの利用が進んでいる。筆者らが所属する九州大学 情報基盤研究開発センターでは,2011年度末に CloudStack と VCL によるクラウドシステムを導入した。本稿では導入した VCL システムの構成を説明し,かつ検索エンジン構築演習に用いた事例を述べる。 また VCLシステムを使った演習で得た知見を述べ,かつ問題点についての改善策を考察する。

    電気学会, 28 May 2013, 電気学会研究会資料, (13), 1 - 5, Japanese

  • A Study of search engine practice using VM on a private cloud

    ITO Eisuke, FLANAGAN Brendan, YIN Chenge, NAKATOH Tetsuya, HIROKAWA Sachio

    24 May 2013, 電気学会研究会資料. IS, 情報システム研究会, 2013 (12), 1 - 5, Japanese

  • A Study of search engine practice using VM on a private cloud

    伊東 栄典, Flanagan Brendan, 殷 成久

    電子情報通信学会, 24 May 2013, 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 113 (65), 1 - 5, Japanese

  • Error Classification of English Writing Lessons

    フラナガン ブレンダン, 殷 成久, 鈴木 孝彦, 廣川 佐千男

    An important issue in education systems is the ability to determine the characteristics of a learner and then to provide suitable guidance in response. In this paper a system was built to classify a learner's errors into categories (Kroll 1990, Weltig 2004) with the purpose of identifying the error characteristics of a learner studying English composition. More specifically, machine learning was undertaken on the writings of learners on the Lang-8 foreign language learning community site.

    情報処理学会九州支部, 14 Mar. 2013, 火の国情報シンポジウム論文集, 2013 (4), 1 - 6, Japanese

  • Building a MindMap with Twitter Data

    猪口 陽平, 殷 成久, 廣川 佐千男

    In communication, it is important to get to know the common interests of each other. This paper proposes a method to extract keyword that represent the interests of individuals from their comments on SNS sites. Those keywords are visualized as a MindMap, which can be used as a communication tool. The effectiveness of the maps is evaluated in three examples

    情報処理学会九州支部, 14 Mar. 2013, 情報処理学会研究報告, 2013 (6), 1 - 8, Japanese

  • Jun Zeng, Toshihiko Sakai, Chengjiu Yin, Takahiko Suzuki, Sachio Hirokawa

    The one-way information communication provision does not impress listeners well. As an efficient way, Question & Answer can not only help listeners to comprehend the content of information but also help information providers understand the response of listeners. However, it is not easy for everyone to create suitable questions. In this paper, we propose an automatic quiz generation system using tourism blogs. The system can generate quizzes by extracting feature words of the topic keyword from blogs. Our purpose is to help tourism information providers to advertise their tourism events in an interactive way, in order to impress tourists. When compared with other methods of quiz generation, we demonstrate that our method is more suitable for information communication provision. © 2012 ISAROB.

    Feb. 2013, Artificial Life and Robotics, 17 (3-4), 412 - 416, English

    [Refereed]

  • Li Jian, Cheng Jiu Yin, Sachio Hirokawa, Yoshiyuki Tabata

    This paper introduces a modified differential evoluiton method to solve the tension/compression string design problem. The modification is derived from mechanisms of social networks. In the proposed method, each individual will be attracted by the knowed best individual following the connectivity between each other. The connectivity is calculated based on the difference of the variables in each vector. The individuals with high connectivity tend to perform local search while those with poor connectivity tend to perform global search instead. The approach was employed for a tension/compression string design problem and by comparisons with the other evolutionary algorithms, the proposed method privided better resutls. © (2013) Trans Tech Publications, Switzerland.

    2013, Advanced Materials Research, 705, 523 - 527, English

  • SNSの「友達の友達」を利用したモデルの提案

    殷 成久, 田畑 義之

    [大学ICT推進協議会], 2013, 大学ICT推進協議会年次大会論文集, 4p, Japanese

  • 廣川 佐千男, 中藤 哲也, 殷 成久, 鈴木 孝彦, 橋本 喜代太

    Since evaluation of food is subjective and the feeling is expressed in Japanese, onomatopoeia is used in many cases. In cooking and sweets, the onomatopoeia used is different. In order to grasp the meaning of onomatopoeia, we need to read and compare the situation where each onomatopoeia is used. In this report, the "Double Rank" method which the first author proposed is applied to Blog documents to compare and to analyze Blogs.set of all words gains the best performance if 90% of the data are used as a training data. However, the set of a small number of words with positive scores outperforms other feature sets, if the training data is only 10%. In such a realistic situation, the feature words are effective in improving discernment.

    一般社団法人 人工知能学会, 12 Jun. 2012, 人工知能学会全国大会, 26 (1), 1 - 2, Japanese

  • Characteristic grammatical context of tourism information

    Tetsuya Nakatoh, Chengjiu Yin, Sachio Hirokawa

    We aim at constructing the ontology of tourism by gathering the resources of tourism on WWW. For the purpose, we paid attention to actual behavior of tourists performed at each tourist resort described in blog articles. Gathering actual behavior of tourists appropriately enables extraction of a set of typical behavior of tourists by a statistical method. This paper reports the attempt of basic extraction of tourist behavior by Japanese dependency analysis. © 2012 ICIC International.

    Mar. 2012, ICIC Express Letters, 6 (3), 753 - 758

  • Chengjiu Yin, Yoshiyuki Tabata, Kiyota Hashimoto, Tetsuya Nakatoh, Sachio Hirokawa

    We constructed a support system for research trend surveys not only to accelerate the preliminary step but also to let students have a better grips of trend progresses and keyword transitions. Our system dynamically searches relevant words that are frequently used in the targeted academic field and gives users effective visualizations to understand trend transitions.

    01 Dec. 2011, Proceedings of the 19th International Conference on Computers in Education, ICCE 2011, 116 - 118

  • Cross-Tabulation Search Engine for Scientific Articles

    廣川 佐千男, 酒井 敏彦, 曾 駿, 殷 成久

    研究を行う上で、関連文献の検索は必須だが、重要文献の検索だけでなく研究動向の把握にはファセット検索が有効である。本発表では、研究者、所属、雑誌、国際会議、年、キーワードなどの論文メタデータを分析軸とするクロス集計により検索結果を表示する文献検索システムを提案する。Search of related literature is indispensable in any research fields. Facet search is effective not only to search for important literature but also to grasp the research trend. The present paper proposes a faceted search engine which displays search results as the cross tabulation. Users can chose a pair of metadata for analysis axes, such as researchers, affiliations, journals, conferences, publication years, and keywords.

    15 Nov. 2011, 研究報告情報基礎とアクセス技術(IFAT), 2011 (1), 1 - 7, Japanese

  • Integration of SNS and Search Engine for Community-based Search

    WU Xiaobin, ZENG Jun, NAKATOH Tetsuya, YIN Chengjiu, HIROKAWA Sachio

    The investigation activities using a search engine are indispensable to acquisition of new knowledge. When we investigate using a search engine, we leave a memo if needed, seeing the search results to an input keyword. Depending on the case, search refinement and search by a new related keyword are repeated. However, it is difficult to share the knowledge and the experience acquired under investigation activities with the others. On the other hand, SNS which promotes relation with people and a person attracts attention. This paper proposes a community type search platform which combines a search engine and SNS. By seamless use of various activities in search and the mutual comments, users can share a problem or new knowledge.

    The Institute of Electronics, Information and Communication Engineers, 14 Nov. 2011, IEICE Tech. Rep., 111 (310), 37 - 42, Japanese

  • Learning by Searching : Learning Theory and Practice

    YIN Chengjiu, ZENG Jun, TABATA Yoshiyuki, HIROKAWA Sachio

    We learn and acquire knowledge through various means, such as: learning new words by looking them up in a dictionary. In this paper, we advocate and theorize a new learning method called "Learning by Searching". Based on this method, we constructed two practical examples of "Learning by Searching": a system for beginner researchers doing research trend surveys, and a system for helping to find a person who can assist to solve learning problems.

    The Institute of Electronics, Information and Communication Engineers, 28 Oct. 2011, IEICE technical report. Education technology, 111 (273), 55 - 60, Japanese

  • Prototypical Human Learner Simulation by Multi-Layered Multi Agent System

    橋本 喜代太, 竹内 和広, 廣川 佐千男, 殷 成久

    Various kinds of learner support systems have been proposed and employed, and their evaluation, whether it is at a developmental stage or at the employing stage, depends on learners, which is inevitable but which failure must be avoided as much as possible. For that purpose, it is desirable to employ a computer simulation, but the body of relevant knowledge, the model representing learning stages, and learner data are necessary. In this prototypical study, we propose a novel method to employ a multi-layered multi-agent simulation.

    Information Processing Society of Japan (IPSJ), 21 Oct. 2011, IPSJ SIG Notes. ICS, 2011 (4), 1 - 6, Japanese

  • Kiyota Hashimoto, Kazuhiro Takeuchi, Chengjiu Yin, Sachio Hirokawa

    Onomatopoeic expressions are frequently used in Japanese but, as well as other types of subjective adjectival and adverbial expressions, their Kansei evaluative value, or their Kansei polarity, depends on genre and context and is difficult to describe, let alone their exact meaning. In this study, an automatic extraction method of Kansei polarities of Japanese onomatopoeic expressions according to genre and context is proposed. It uses the contrastive use of pair expressions with seemingly opposite Kansei polarities in different genres and contexts, and the results of our experiments indicate that our method is effective for better descriptions of onomatopoeic expressions. © 2011 ISSN 1881-803X.

    01 Oct. 2011, ICIC Express Letters, 5, 3755 - 3760

  • Place Name Extraction from Blogs and Disambiguation

    NAKATOH Tetsuya, YIN Chengjiu, HIROKAWA Sachio

    15 Sep. 2011, 電気学会研究会資料. IS, 情報システム研究会, 2011 (60), 63 - 66, Japanese

  • Sachio Hirokawa, Chengjiu Yin, Kiyota Hashimoto, Kazuhiro Takeuchi

    Personal blogs contain many articles of the dish, sweets, impression and experience when the blogger visited the location. This kind of information is hardly obtained from pamphlets or homepages of hotels and travel agents. This paper proposes a search engine that focuses on the usage of onomatopoeic words that appear on these blogs. © 2011 ISSN 1881-803X.

    01 Aug. 2011, ICIC Express Letters, 5, 2971 - 2976

  • Concept Chain based Serendipitous Search from Tourism Blog

    曾 駿, 中藤 哲也, 殷 成久, 呉 小斌, 廣川 佐千男

    Blog has become a popular tool to share people's ideas including information of tourist attraction, gourmet restaurants and campaign. However, the large volumes of blogs have created the potential of a vast amount of valuable information buried in those corpus. This paper proposes a novel approach to discover potential relevant information based on Concept Chain, in order to provide a serendipitous search from tourism blog.

    情報処理学会, Mar. 2011, 情報処理学会研究報告, (2011), 1 - 4, Japanese

  • Using Support Vector Machines for Fashion Recommendation System

    Ito Eisuke

    It is difficult to analyze fashion information through the analysis of text collection because fashion is something that is influenced by people's emotions and feelings. In this paper, we extract the user's profiles from the questionnaire, and then propose an emotion presumption system to predict user's preferences. In this system, a Support Vector Machine is used to analyze fashion information.

    情報処理学会, Mar. 2011, 火の国情報シンポジウム論文集, (2011), 1 - 8, Japanese

  • Matching System of Hotel Information and Blogs

    呉 小斌, 曾 駿, 殷 成久, 中藤 哲也, 廣川 佐千男

    Travel portals provide many information on hotels and inns. They are useful information for tourists who are considering to visit the location and the area. However, the external blog sites contain much more individual opinions and experiences of tourists, which can not be found in the official portal sites. This paper considers the possibility of the matching the information offered byportals and by blog sites.

    情報処理学会九州支部, Mar. 2011, 火の国情報シンポジウム論文集, (2011), 1 - 4, Japanese

  • Component-based Web Search Engine and Its Ranking

    吉田 慎一郎, 殷 成久, 中藤 哲也, 廣川 佐千男

    It is difficult to analyze fashion information through the analysis of text collection because fashion is something that is influenced by people's emotions and feelings. In this paper, we extract the user's profiles from the questionnaire, and then propose an emotion presumption system to predict user's preferences. In this system, a Support Vector Machine is used to analyze fashion information.

    情報処理学会九州支部, Mar. 2011, 火の国情報シンポジウム論文集, (2011), 1234 - 1237, Japanese

  • Chengjiu Yin, Ito Eisuke, Tetsuya Nakatoh, Sachio Hirokawa

    We are developing a concept dictionary for Petit Trips (Short Time Trips). Based on the concept dictionary, we propose a smart phone-based system to support the Petit Trips. This system provides travelers a Classification Network of tourist spots according to their locations. While travelers select their preferred tourist spots, the system will recommend the suitable tourist spots which have similar features. Through the Classification Network of tourist spots, travelers can go to their preferred tourist spots one after another. © 2011 IEEE.

    2011, Proceedings of 2011 3rd International Conference on Awareness Science and Technology, iCAST 2011, 170 - 173, English

  • Tetsuya Nakatoh, Chengjiu Yin, Sachio Hirokawa

    By development of the Internet in recent years, tourism portal sites and blog articles about tourism increased on WWW. Acquisition of various tourism information became easy. When gathering and classifying the information automatically from blog articles, it is not easy to decide automatically place names used as the key. In this paper, we propose a method of extracting place names from blog articles automatically. Moreover, we also tried disambiguation of a place name. © 2011 IEEE.

    2011, Proceedings - 1st ACIS International Symposium on Software and Network Engineering, SSNE 2011, 73 - 78, English

  • Tetsuya Nakatoh, Chengjiu Yin, Hiroki Matsuura, Sachio Hirokawa

    In recent years, with the development of the Internet, and the rapidly increasing number of tourism portal sites and blogs, we can obtain a variety of tourist information on the Internet. If we have a specific need, we can obtain the required information through checking the retrieved results one by one. However, in order to see the whole trend of the results, it is necessary to analyze and visualize the document group. In this paper, by storing a set of tourism-related future words in WordNet, which is a concept thesaurus, we proposed a method using information from WordNet to visualize a document group as a conceptual graph. With the structure of a thesaurus, this method enables us to understand the contents of document group at a glance. Furthermore, by comparing the thesaurus structures, which are obtained from different background document groups, we can grasp the differences. © 2011 IEEE.

    2011, Proceedings of 2011 3rd International Conference on Awareness Science and Technology, iCAST 2011, 412 - 417, English

  • A Proposal of "TOIEBA" Search Engine for Tourism Event

    YIN Chengjiu, WU Xiaobin, HIROKAWA Sachio, NAKATOH Tetsuya

    With the development of the Web, there is lots of tourism information that can be used. We can search the information about making a reservation for hotel or booking transportation online, and search reputation from Blog. However, it is not easy to know something like, 1) "Are there anything special and interesting, and where we can find them?", and 2) "Where can we find anything special, and why is it special?" In this paper, utilizing online tourism information, extracting the feature of the tourism event that relates to the name of a place, we propose a TOIEBA (speaking of which) search engine which can also show the reason of the answer at the same time, called EBAKEN, for example, speaking of "MIYAZAKI", what's more than "KAGURAHANA".

    The Institute of Electronics, Information and Communication Engineers, 12 Nov. 2010, IEICE technical report, 110 (301), 43 - 47, Japanese

  • WWWからの観光情報の抽出と比較

    呉 小斌, 廣川 佐千男, 殷 成久, 中藤 哲也, 田畑 義之

    何か調べ事をするときには、検索エンジンを使うようになっている。しかし、一般の検索エンジンで網羅的に調べられたかどうかは分らない。我々は、特定の分野・対象の情報をWWW上から網羅的に収集し、収集データにもとづく専門的検索エンジンの構築について研究を行っている。本研究では、収集すべき情報として、特定の地域の観光情報を取り上げ、観光情報専門のサイトに記されている情報と、一般検索エンジンを用いて収集した情報を比較する。それにより、人手により収集された専門サイトと、一般検索エンジンから得られる情報の範囲と質の比較を行う。

    情報処理学会九州支部, Sep. 2010, 情報処理学会九州支部若手の会セミナー, Japanese

  • iPhoneのための外国語学習教材作成システム

    田畑 義之, 殷 成久, 緒方 広明

    情報教育研究集会プログラム委員会, 2009, 情報教育研究集会講演論文集, 2009, 141 - 144, Japanese

  • SNSを用いたユビキタス協調学習システムの提案

    殷成久, 田畑義之, 緒方広明

    2008, 教育システム情報学会全国大会講演論文集, 33rd, 122 - 123, Japanese

  • 携帯電話を用いたクイズ出題・集計システムの構築

    田畑 義之, 殷 成久, 緒方 広明

    情報教育研究集会企画・プログラム委員会, 2008, 情報教育研究集会講演論文集, 2008, 407 - 410, Japanese

  • センサネットワークを用いた擬態語学習支援

    近藤智央, YIN Chengjiu, 緒方広明, 矢野米雄

    23 Aug. 2006, 教育システム情報学会全国大会講演論文集, 31st, 525 - 526, Japanese

  • 留学生のためのモバイル日本語学習支援システムの構築

    和田誠, HUI Gan Li, YIN Chengjiu, 上田崇仁, 大石寧子, 緒方広明, 矢野米雄

    23 Aug. 2006, 教育システム情報学会全国大会講演論文集, 31st, 527 - 528, Japanese

  • Generation of Hen-ai Map from Search Log for Foreign Language Learning

    INOKUCHI Youhei, SAKAI Toshihiko, YIN Chengjiu, HIOKAWA Sachio

    06 Dec. 2012, 電気学会研究会資料. IS, 情報システム研究会, 2012 (56), 169 - 172, English

  • 新入生PC必携化講習会の実施

    殷 成久, 藤村 直美

    [大学ICT推進協議会], 2013, 大学ICT推進協議会年次大会論文集, 5p, Japanese

  • OGATA Hiroaki, SASADA Tomonobu, YIN Chengjiu, YANO Yoneo

    本論文では,コンピュータ科学の一分野であるアルゴリズムの学習を、PDAを用いて支援するソフトウェアについて述べる。具体的には、ソートのアルゴリズムを学習する際、PDAを用いて各学習者がインタラクティブにシミュレーションを行い、試行錯誤しながら、アルゴリズムの理解を深める、という参加型シミュレーション環境を提案する。

    Japan Society for Science Education, 2005, Proceedings of the Annual Meeting of Japan Society for Science Education, 29, 123 - 124, Japanese

Books etc

  • Learning Analytics

    Gwo-Jen Hwang, Hui-Chun Chu, Chengjiu Yin

    Joint work, Routledge, Dec. 2018

Presentations

  • Introduction the DX in Kobe University

    Chengjiu YIN

    東京工業大学シンポジウム(Online), 17 Sep. 2021, Japanese

    [Invited]

    Nominated symposium

  • Learning analytics and Educational Data Mining

    Chengjiu YIN

    2021 Kobe University Summer Study Program, 05 Aug. 2021, English

    [Invited]

    Public discourse

  • E-Books based Learning Analytics in Japan

    CHENGJIU YIN

    International Conference on Intelligent Education, Fujian Normal University, China, 14 Jul. 2021, English

    [Invited]

    Invited oral presentation

  • 神戸大学での教育データの利活用の方向性や今後の課題

    殷成久

    New Education Expo 2021 (T11:教育データ活用の仕組みづくり ~各種システムの構築、運用を通じ~), 03 Jun. 2021, Japanese

    [Invited]

    Public discourse

  • eBookの利用履歴データ活用に向けた学習行動分析

    殷成久

    α×SC2021Q 教育とスーパーコンピュータシンポジウム, 23 Mar. 2021, Japanese

    [Invited]

    Nominated symposium

  • e-Books reading log based Learning Analytics

    Chengjiu Yin

    International Conference on Computers in Education 2020, 24 Nov. 2020, English

    [Invited]

    Invited oral presentation

  • The Development of Educational Big Data and introduction of Case Studies in Japan

    New Vision for Education,East China Normal University, 04 Jul. 2020, Chinese

    [Invited]

  • E-book based Educational Data Mining

    YIN CHENGJIU

    International Joint Conference on Information, Media and Engineering (ICIME2018), 12 Dec. 2018, English, Osaka University, Japan, International conference

    [Invited]

    Keynote oral presentation

  • Introduction to the Case Studies of Educational Big Data

    YIN CHENGJIU

    28 Dec. 2017, English, Northeast Normal University, Jilin, China, International conference

    [Invited]

    Invited oral presentation

  • Introduction to the Case Studies of Big Data and Analytics

    YIN CHENGJIU

    26 Dec. 2017, English, Wuhan University, Wuhan,China, Domestic conference

    [Invited]

    Invited oral presentation

  • Introduction to the Case Studies of Learning Analytics

    YIN CHENGJIU

    Aritificial Intelligence Forum 2017, 17 Oct. 2017, English, Asia University, Taichung, Taiwan, International conference

    [Invited]

    Nominated symposium

  • 九州大学におけるPC必携化

    殷成久

    サイエンティフィック・システム研究会(SS研)システム技術分科会, 28 Aug. 2013, Japanese, 富士通本社, 東京, Domestic conference

    [Invited]

    Invited oral presentation

  • モバイルラーニング環境における参加型フレームワーク

    ICT活用教育セミナー, 放送⼤学学園本部, 25 Feb. 2012, Japanese

    [Invited]

    Public discourse

  • The Survey of Mobile Learning in Mainland China

    The Fourth Mobile and Ubiquitous Technologies Enhanced Learning Conference (UbiLearn2010), 12 Apr. 2010, English

    [Invited]

    Nominated symposium

  • Educational Data Mining and Learning Analytics

    YIN CHENGJIU

    English, 高知工科大学, 高知, Domestic conference

    [Invited]

    Public discourse

  • eBookの利用履歴データ活用に向けた学習行動分析

    殷成久

    第1回エビデンス駆動型教育研究協議会(EDE)研究発表会, 30 Oct. 2021, Japanese

    [Invited]

    Invited oral presentation

  • e-Book-based Learning Analytics in Japanese University Education

    Chengjiu Yin

    International Forum on Artificial Intelligence in Education,School of Educational Science and Technology of Nanjing University of Posts and Telecommunications, 21 Oct. 2021, English

    [Invited]

    Invited oral presentation

  • ラーニングアナリティクスの研究事例紹介及び神戸大学におけるPlusDXの取り組み

    殷成久

    TLAC連続セミナー, 20 Oct. 2021, Japanese

    [Invited]

    Public discourse

Association Memberships

  • INFORMATION PROCESSING SOCIETY OF JAPAN

  • IEEE

  • APSCE (Asia-Pacific Society for Computers in Education)

  • JAPANESE SOCIETY FOR INFORMATION AND SYSTEMS IN EDUCATION

  • JAPAN SOCIETY FOR EDUCATIONAL TECHNOLOGY

Research Projects

  • 殷 成久

    Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (B), Grant-in-Aid for Scientific Research (B), Kobe University, 01 Apr. 2021 - 31 Mar. 2025

  • Real-time Learning Analytics for Advanced Education Support

    島田 敬士, 殷 成久, 山下 隆義, 毛利 考佑, 内山 英昭

    Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (A), Grant-in-Aid for Scientific Research (A), Kyushu University, 01 Apr. 2018 - 31 Mar. 2022

    【研究課題1:活動センサによる学習活動の密センシング】活動センサによる学習活動センシングシステムを多人数で利用できるように拡張した. 【研究課題2:双方向通信可能な新デジタル教科書システム】昨年度開発した新デジタル教科書システムを実際の講義で利用を開始し,新システムによる学習データの蓄積を行った. 【研究課題3:実時間学習分析】新システムを通して収集,蓄積される学習活動データに対して,学習者の活動状況や授業内容の理解度状況を実時間で分析するための技術開発を継続した. 【研究課題4:適応型教育・学習支援のための情報提示】新デジタル教科書システムと連携させて,各学習者の状況に応じた関連教材や補助教材の推薦などの適応支援ならびに情報低提示技術について開発した. 【研究課題5:実時間学習解析に基づく双方向型協働空間の有効性評価】昨年度に引き続き,対面式講義を中心とした講義で評価実験を行った.

  • Career Support for international Students Using Ubiquitous Learning Log System and E-book

    魚崎 典子, 殷 成久, 毛利 考佑

    Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C), Grant-in-Aid for Scientific Research (C), Osaka University, 01 Apr. 2018 - 31 Mar. 2021

    令和元年度の計画として、1) SCROLLとeBookを組み合わせた留学生向け就職支援サイトを公開する、2)キャリアサポートコンテンツの拡充、3) システムのパイロット評価実験の実施、4) 研究成果中間報告を行うことを掲げた。以下に項目ごとに実績を示す。 1)昨年度の【今後の研究の推進方策】で述べたが、新しくポータルサイトをサーバに置くことは予算的に困難であることから、前年度構築したSCROLLとチャットシステムを組み合わせたプロトタイプを、そのまま使用した。具体的にはSCROLL内にePUB形式で実装されたeBookシステムに留学生向け就活用語学習コンテンツをアップロードして留学生の就活用語の学習支援を試みた。またInCircleと呼ばれるチャットシステムを利用し学習者同士の相互作用の促進、就活関連情報の配信を行なった。 2)日本語が得意でない留学生向けコンテンツを充実させた。具体的には英語説明の拡充、イラスト等の視覚情報の拡充、日本語の平易化を行い、クイズ問題を拡充した。留学生向けキャリア関連イベント/留学生に役立つ情報をチャットシステムで配信した。 3) 2019年度前期研究代表者の担当2クラス、2019年度後期担当1クラス内で評価実験を実施。 4) 2018年度後期に実施した実験結果を2019年7/29(月)米国オーランドーで開催されたHCII2019で発表。3)の評価実験に関しては2019年度前期の評価実験は11/10(日)長崎大学で開催された日本キャリア教育学会第41回研究大会でポスター発表、および12/4(水)台湾Kentingで開催されたICCE2019において口頭発表。ラーニングアナリティクス的アプローチで分析を行なった評価実験結果はHICC2020(オンライン開催)にて発表予定。2019年度後期実施した評価実験の結果はオンライン開催のICCE202に投稿予定。

  • 緒方 広明, 魚崎 典子, 山田 政寛, 殷 成久, 西岡 千文, 上田 浩, 毛利 考佑, 木實 新一, 島田 敬士, 杉本 雅則, 近藤 一晃, 川嶋 宏彰, 岡田 義広

    Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (S), Grant-in-Aid for Scientific Research (S), Kyoto University, 31 May 2016 - 31 Mar. 2021

    本研究では、授業内外(フォーマル・インフォーマル)の教育・学習活動のログを全て蓄積し、成績や履修情報等と統合することにより、教育ビッグデータを構築し、教育・学習を支援するためのクラウド情報基盤を研究開発する。2018年度は、【データ収集】に関しては、LMS(Moodle、Skaiなど)、デジタル教材配信(BookRoll)などの主にフォーマルな学習で用いるシステムの学習ログだけでなく、例えば、SCROLL、などのインフォーマルな学習のログデータや、センサー等の学習ログの情報も取り込める機能を開発した。【データ統合】に関しては、上述の多種多様な情報を自動的に識別・精査・整理し、データの分析を容易にする機能を開発した。また、初等中等高等教育などの異なる組織間で学習ログのデータ統合を可能とする教育用フェデレーションを提案した。【データ分析】に関しては、学習者や教員の行動と、学習者理解度の把握、知識定着との関係を分析する機能を実現した。また、学習者の予習・復習の学習パターンと自己調整学習(self-regulated learning)との関係を分析する機能を実現し、学生の行動予測、成績予測をするための学習者モデルや計算モデルを提案した。【データ可視化】に関しては、教員や学生にも使いやすいユーザインタフェースをもつ、データの可視化分析ツールを開発した。【教育的インタラクション】に関しては、学習者のモチベーションを表現するモデルをもち、それを高める機能の構築した。【オープンデータ化】に関しては、組織においてラーニングアナリティクスを導入するため、また、匿名化等の適切な処理をしてオープンデータ化するために、ラーニングアナリティクスポリシーについて研究を行った。【実証評価】に関しては、大学ICT推進協議会(AXIES)を通じて、他大学にシステムを普及することを検討した。

  • YIN CHENGJIU

    Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (B), Grant-in-Aid for Scientific Research (B), Kobe University, 01 Apr. 2016 - 31 Mar. 2020

    In this research, we have developed a system named DITeL, which collects students’’ learning logs when they reading teaching materials by using DITeL system. Furthermore, with these a large amount of learning logs collected by the DITeL system, we identified patterns for improving teaching materials. Using the identified patterns, we developed two sub-systems to support teachers to improve their teaching materials. The teachers improved their teaching materials with these two sub-systems. We found that these two sub-systems are able to effectively help teachers to improve their teaching materials.

  • デジタル教材の学習履歴を中心とした教育ビッグデータの利活用アプリケーションの研究開発

    安浦 寛人

    国立研究開発法人情報通信研究機構(NICT), 「ソーシャル・ビッグデータ利活用・基盤技術の研究開発」研究助成, Apr. 2014 - Mar. 2018

    本研究では、京セラ丸善システムインテグレーションと連携して、電子教科書の学習者の利用履歴やe-Learning、学務情報などの様々な情報を統合して、教育ビッグデータを構築し、その利活用を通じてきめ細かな教育・学習のサポートを目指します。 本研究は、九州大学全体(学生約2万名、教職員約1万名)を対象に取り組みます。

    Competitive research funding

  • 研究動向調査を支援する学習環境SNSearchの構築

    殷 成久

    日本学術振興会, 科学研究費助成事業 若手研究(B), 若手研究(B), 九州大学, 01 Apr. 2013 - 31 Mar. 2015

    本研究の目的は、検索履歴を分析・利用し、お互いにシェアすることで、学生が検索スキルを勉強することを支援することです。昨年度に構築したシステムは単なる検索エンジンでしたが、本研究はSNSを用いた研究であるため、ユーザーアカウントなどの機能を追加する必要があります。今年度は以下の機能を追加したデモシステムを構築しました。 ユーザーが自分でアカウントを作ることができる、ユーザー登録機能を追加。2)自分の検索履歴もサーバーに残す機能を追加。3)2013、2014の最新の論文データを収集し、データベースに更新。4)検索ログを分析できるようにするため、必要なログのみを取得できるプログラムを作成。 また、検索行為を記録しログとして残して、そのログを利用し分析を行いました。ログの内容は以下のとおりです。 a.入力したキーワード (Query) b.ログイン時間、ログアウト時間c.使った検索パラメタd.閲覧した論文、閲覧した時間、閲覧した回数 今年8月に日本の学生に本システムを用いて評価し、分析を行いました。今回は学生の数が少ないため、今後、台湾の学生にも適用し、学生の検索履歴を用いて検索行為や学習行為を分析する予定でした。 尚、今年度の補助金はシステム評価するための打ち合わせや学会発表の旅費、評価用のデバイスの購入に当てられました。今後も計画書の通りデモシステムを作成し、システムの評価・分析を行い、その成果をジャナール論文に投稿する予定でしたが、転職に伴い特定の研究に専念する必要が生じたため応募資格を失いました事をご報告いたします。

  • SNSによる協調学習を支援するユビキタスシステムの構築

    殷成久

    JST(独立行政法人科学技術振興機構), 研究成果展開事業フィージビリティスタディ(探索タイプ), Sep. 2011 - Mar. 2012, Principal investigator

    Competitive research funding

  • YIN Chengjiu, TABATA Yoshiyuki, OGATA Hiroaki

    Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research Grant-in-Aid for Young Scientists (B), Grant-in-Aid for Young Scientists (B), Kyushu University, 2009 - 2010

    We propose a collaborative learning SNS based knowledge awareness system for learning in daily life in an ubiquitous environment. The system has been developed to support language learning. By utilizing the system, learners can find an appropriate person who is able to solve the problem, even if such a person is a stranger, and then an appropriate request chain of friends will be recommended upon their request. Then they help each other through the environment. Moreover, by doing this research, we found a way to find an appropriate person, found a way to recommend an appropriate route, and found some feature patterns of asking for help.