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HORIGUCHI TomoyaGraduate School of Maritime Sciences / Department of Maritime SciencesProfessor
Research activity information
■ Award- Jun. 2019 人工知能学会, 研究会優秀賞, モデリング学習環境における支援タイプの違いが学習者の振舞いおよび学習効果に与える影響の検証
- 2011 人工知能学会, 2010年度人工知能学会研究会優秀賞, Error-based Simulationのモデリング学習環境への展開へ向けてJapan society
- 2009 教育システム情報学会, 平成21年度教育システム情報学会論文賞, 中学理科におけるError-based Simulationを用いた授業実践-「ニュートンに挑戦」プロジェクト-
- 2009 International Artificial Intelligence in Education Society, The 14th Int. Conf. on Artificial Intelligence in Education: Best Paper Award Honourable Mention, Error-Based Simulation to Promote Awareness of Errors in Elementary Mechanics and Its Evaluation
- 2008 教育システム情報学会, 平成20年度教育システム情報学会論文賞, 実験方法の考案による学習を支援する仮想実験環境の構築
- 2008 人工知能学会, 2007年度人工知能学会研究会優秀賞, 問題ベースの作問学習支援システムの設計開発
- 2003 人工知能学会, 2002年度人工知能学会研究会優秀賞, 「思考実験」を補助する枠組みの提案とロバストシミュレータの実現
- Jul. 2024, Lecture Notes in Computer Science, 14691, 3 - 15, EnglishLearning Support System for Relationships among Forces, Accelerations, Velocities, and Movements in Error-based Simulation[Refereed]International conference proceedings
- Error-based Simulation (EBS) is a learning support framework that visualizes learners’ errors and encourages trial and error. However, when a learner is stuck, EBS has difficulty in helping them overcome the impasse. Additionally, giving a correct answer to a learner who is stuck may interfere with the trial-and-error activity that EBS is oriented toward. Therefore, it is necessary to encourage learners during trial-and-error activities without giving them correct answers. In this study, we confirm the effectiveness of our system, which is based on conventional mechanics EBS and provides adaptive auxiliary problems based on learners’ errors. Furthermore, we analyze force-based self-overcoming to evaluate our system. Self-overcoming means that the learner can eliminate errors by using the system without the intervention of the teacher. If self-overcoming occurs, the learner can continue trial-and-error with the auxiliary problems, even if they are stuck. To verify the learning effectiveness of such a system, we conducted a classroom implementation with 86 third-year junior high-school learners and analyzed the results. The system logs from the exercises revealed that self-overcoming was taking place, and that it was reflected in the test results.Asia-Pacific Society for Computers in Education, Jan. 2024, Research and Practice in Technology Enhanced Learning, 19, 026 - 026[Refereed]Scientific journal
- Oct. 2023, 教育システム情報学会誌, 40(4) (4), 295 - 300, Japanese[Refereed]Scientific journal
- Springer Nature Switzerland, Jul. 2023, Lecture Notes in Computer Science, 213 - 224, English[Refereed]In book
- Jul. 2023, 教育システム情報学会誌, 40(3) (3), 234 - 239, Japaneseプログラミングの機能的階層構造の学習環境における習熟度を考慮した適応的フィードバック機能の評価[Refereed]Scientific journal
- Corresponding, Wiley, Mar. 2023, Journal of Computer Assisted Learning, English[Refereed]Scientific journal
- Feb. 2023, 電子情報通信学会論文誌 D, J106-D(2) (2), 132 - 143, JapaneseA Presentation System for Auxiliary Problems to Resolving Learners’ Stuck in Error-based Simulation for Mechanics[Refereed]
- Dec. 2022, Proceedings of the International Conference on Computers in Education (ICCE 2022), 118 - 123, EnglishPractical Use of an Error-based Problem Presentation System in Mechanics[Refereed]International conference proceedings
- Jun. 2022, Proceedings of 24th International Conference on Human-Computer Interaction (HCII2022), 13305, 437 - 450, EnglishAutomatic Generation Rules for Auxiliary Problems Based on Causal Relationships for Force in a Mechanics Learning Support System[Refereed]International conference proceedings
- Abstract Remote monitoring and control systems are being used with more frequency, but the characteristics of situational awareness and decision-making from remote locations are largely unknown. Remote operators’ sources of information differ from on-board sources greatly in terms of perspective, field of view, and available data type (qualitative or quantitative). This study focused on clarifying the cognitive effects of first- and third-person perspectives on ship handling. A working hypothesis was formulated based on the findings of visual information processing and previous studies and tested using a developed ship handling simulator. The results revealed that: (1) the cognitive characteristics of the first-person perspective make it more effective in safely guiding ship handling than does the third-person perspective, and (2) the deviation in cognitive characteristics is prominent where collision can be easily avoided. The findings will aid the development of on-board and remotely piloted vessels and ensure the safety of their crews.Last, Cambridge University Press (CUP), May 2022, Journal of Navigation, 75(3) (3), 727 - 744, English[Refereed]Scientific journal
- Jul. 2021, Proceedings of 23rd International Conference on Human-Computer Interaction (HCII2021), 12766, 104 - 114, EnglishProposal of Learning Support System for Improving Skills in Inferring Background Knowledge in Conversation[Refereed]International conference proceedings
- Jul. 2021, Proceedings of 23rd International Conference on Human-Computer Interaction (HCII2021), 12766, 3 - 13, EnglishCharacterization of Auxiliary Problems for Automated Generation in Error-based Simulation[Refereed]International conference proceedings
- Jul. 2021, Proceedings of 23rd International Conference on Human-Computer Interaction (HCII2021), 12766, 63 - 744, EnglishLearner Model for Adaptive Scaffolding in Intelligent Tutoring Systems for Organizing Programming Knowledge[Refereed]International conference proceedings
- Last, Dec. 2020, 認知科学, 27(4) (4), JapaneseNavigation strategy in collision avoidance judgement at sea: Using landscape information vs. using radar information[Refereed]Scientific journal
- Last, Sep. 2020, Transactions of Navigation, 5(2) (2), 47 - 53, English[Refereed]Scientific journal
- The Japanese Society for Artificial Intelligence, 2020, Transactions of the Japanese Society for Artificial Intelligence, 35(5) (5), C - J82_1-17, Japanese
Recently, the demand for programming education is increasing worldwide. Enhancing intelligent tutoringsystems (ITSs) in programming education is therefore very important. For a computer to intelligently support suchlearning, it is desirable that it be adaptive to individual learning. In ITS research, learning effectiveness is enhancedby (A) controlling features of the question or problem to be asked by indexing based on characteristics of targetdomains, or by (B) making appropriate interventions such as feedback by grasping problem-solving processes basedon explainable problem-solving models.
It is important to reuse knowledge acquired through problem-solving in programming. To reuse knowledge, itis effective to first understand differences between knowledge items and then to organize that knowledge. In programming,requirements become a problem to be solved. Requirements are defined separately in the software engineeringfield as functional requirements and non-functional requirements. Functional requirements are requirements for whatis satisfied, while non-functional requirements are characteristics for satisfying the functional requirements such asinterface or security. The purpose of this study is to organize the knowledge related to this process by regarding theachievement of functional requirements as problem-solving in programming.
Assuming that problem-solving is directed toward acquisition of knowledge required for a solution, descriptionsof the programming knowledge itself lead to indexing of the problem. Some studies have utilized function–behavior–structure aspects, combining each aspect to handle knowledge in parts and using them for knowledge descriptions.We have considered that the problem-solving process in this programming can be explained according tothe definition of function–behavior–structure aspects. Therefore, we proposed a model of parts based on function–behavior–structure aspects. And, we further proposed a model of the problem-solving process of parts.
In order to verify the effectiveness of feedback by the proposed models, an evaluation experiment was performedin comparison with the feedback by our previous system. Feedback by the proposed models is that can begenerated based on "parts management" function and "grasp behavior of structure" function of the ITS functions thatcan be realized by the proposed model.
Experiment results are suggested that the proposed models can provide more appropriate feedback that can berealized in the system, suggesting that effective support can be realized through learning of parts under the proposedmodels.
In this research, by defining programming knowledge as parts, we approach various elements related to programmingthat have previously been considered tacit and clarify and organize each element independently of theprogramming language used. In this way, we try to construct a model of the problem-solving process using partsfrom the viewpoint of learning and formalize tacit knowledge.
[Refereed] - Springer, 2020, HCI International 2020 - Late Breaking Papers: Interaction, Knowledge and Social Media - 22nd HCI International Conference, 151 - 162[Refereed]International conference proceedings
- Dec. 2019, Workshop proceedings of the International Conference on Computers in Education ICCE2019, 382 - 392, EnglishSupporting Knowledge Organization for Reuse in Programming: Proposal of a System Based on Function-Behavior-Structure Models[Refereed]International conference proceedings
- Dec. 2019, Workshop proceedings of the International Conference on Computers in Education ICCE2019, 426 - 434, EnglishA Support System for Learning Physics in Which Students Identify Errors Using Measurements Displayed by a Measurement Tool[Refereed]International conference proceedings
- Japanese Society for Information and Systems in Education, Jul. 2019, Transactions of Japanese Society for Information and Systems in Education, 36(3) (3), 190 - 202, Japanese
Blocks of programming code can be understood according to the functions they serve, and these blocks can be saved for later reuse. When trying to grasp the functioning of large programs, it is important to understand blocks of code as functionally significant chunks, which this study refers to as "modules". Further, we position "structural understanding" as the ability to recognize and acquire significant blocks of code as modules, to recognize and acquire combinations of modules as larger modules, and to create combinations of these larger modules. We propose the Expandable Modular Statements Method as a learning support method for structural understanding in which learners first examine programs line-by-line to construct modules for each significant chunk of code and modify constructed modules by adding code or existing modules. Development and evaluation of a system employing this method demonstrate learner receptivity and the system's usefulness for structural understanding.
[Refereed]Scientific journal - Lead, Mar. 2019, Research and Practice in Technology Enhanced Learning, 14(6) (6), 6 - 6, English[Refereed]Scientific journal
- Asia-Pacific Society for Computers in Education, Nov. 2018, ICCE 2018 - 26th International Conference on Computers in Education, Workshop Proceedings, 278 - 287, EnglishProposal of an adaptive programming-learning support system utilizing structuralized tasksInternational conference proceedings
- Springer, 2018, Human Interface and the Management of Information. Information in Applications and Services - 20th International Conference, 288 - 299[Refereed]International conference proceedings
- Springer, 2018, Human Interface and the Management of Information. Information in Applications and Services - 20th International Conference, 266 - 277[Refereed]International conference proceedings
- 2018, 電子情報通信学会論文誌, J101-D(6) (6), 864 - 873, Japanese軌跡を題材とした数学の表現変換と能動的誤りの発見支援機能を有する学習支援システムの開発と評価[Refereed]Scientific journal
- 2018, Proceedings of 16th World Congress of the International Association of Institutes of Navigation (IAIN2018), EnglishCharacteristics of Collision Avoidance Judgment Using Landscape and Radar Information in Simulator-based Experiments[Refereed]International conference proceedings
- Springer, 2018, Proceedings of 19th International Conference on Artificial Intelligence in Education (AIED2018), 139 - 144, English[Refereed]International conference proceedings
- Springer Verlag, 2017, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10274, 40 - 49, English[Refereed]International conference proceedings
- Springer Verlag, 2017, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10331, 90 - 101, English[Refereed]International conference proceedings
- 2017, Workshop Proceedings of ICE2017, 461 - 470, EnglishA Learning Support System for Mathematics with Visualization of Errors in Symbolic Expression by mapping to Graphical Expression[Refereed]International conference proceedings
- 電子情報通信学会, Dec. 2016, 電子情報通信学会論文誌, J99-D(12) (12), 1158 - 1161, Japanese[Refereed]Scientific journal
- Japanese Society for Artificial Intelligence, Aug. 2016, Transactions of the Japanese Society for Artificial Intelligence, 31(4) (4), A - F44_1-13, Japanese[Refereed]Scientific journal
- 初等力学の問題解決においては,対象としている系にはたらく力の把握が必要であるが,この過程が最も難しいとされており,学習支援の対象として重要といえる.筆者らはこれまでに,このはたらく力を対象とした学習支援として,物体が速度をもたない静止系における力の把握を対象として,学習者の誤りに基づくシミュレーションであるError-based Simulation(EBS)の利用を試みており,授業での利用を通して学習効果の確認も行っている.本研究では,物体が速度をもつ運動系を対象としたEBS による学習支援効果の調査を授業での利用を通して行った.結果として,事前テストにおける成績と,利用方法により効果が異なることが示された.電子情報通信学会, Apr. 2016, 電子情報通信学会論文誌, J99-D(4) (4), 439 - 451, Japanese[Refereed]Scientific journal
- 人工知能学会, May 2015, 人工知能学会全国大会(第29回)論文集, 29, CD - ROM, Japanese人間の素朴な因果理解に準拠した汎用運動シミュレータSymposium
- 人工知能学会, Mar. 2015, 人工知能学会研究会資料, 73, 61 - 66, Japanese力と運動に関する誤概念の修正を目的としたError-based Simulationの開発と中学校での実践的利用Symposium
- Asia-Pacific Society for Computers in Education, 2015, Workshop Proceedings of the 23rd International Conference on Computers in Education, ICCE 2015, 265 - 270, EnglishExperimental evaluation of error-based simulation for dynamics problems in science class at junior high schoolInternational conference proceedings
- Asia-Pacific Society for Computers in Education, 2015, Work-In-Progress Poster - Proceedings of the 23rd International Conference on Computers in Education, ICCE 2015, 13 - 15, EnglishExperimental use of error-based simulation for dynamics problems in national institutes of technologyInternational conference proceedings
- 2015, 313 - 322International conference proceedings
- In science education, conventional problem practice hardly helps students reach "conceptual understanding" with which they can solve various problems by making appropriate models of target systems. Students often superficially read the solution of a problem and apply it wrongly to others without understanding the model. It is difficult to teach how to make appropriate models because model-making expertise includes a lot of implicit knowledge. In this paper, we propose a general framework for systematically describing such knowledge, which makes it possible not only to explain various models and the difference between them but also to design/sequence a set of problems appropriate for promoting conceptual understanding. Our framework was proved useful through a preliminary experiment in which the explanations generated based on our framework promoted subjects' (15 graduates and undergraduates) conceptual understanding in mechanics. The framework can be the basis for designing intelligent tutoring systems which explicitly help students reach conceptual understanding.World Scientific Publishing Company, 2015, Research and Practice in Technology Enhanced Learning, 10(1) (1), accepted - 2, English, International magazine[Refereed]Scientific journal
- Nov. 2014, Workshop Proc. of ICCE2014, 359 - 368, EnglishStructured Explanation Generation for Conceptual Understanding in Physics[Refereed]International conference proceedings
- Nov. 2014, Proc. of ICCE2014, 50 - 58, EnglishScaffolding for Self-overcoming of Impasse by Using Problem Simplification[Refereed]International conference proceedings
- Nov. 2014, Proc. of ICCE2014, 107 - 109, EnglishA Framework of Generating Explanation for Conceptual Understanding based on 'Semantics of Constraints'[Refereed]International conference proceedings
- Aug. 2014, Journal of Educational Technology & Society, 17(3) (3), 1 - 13, EnglishError-Based Simulation for Error-Awareness in Learning Mechanics: An Evaluation[Refereed]Scientific journal
- Springer, Jul. 2013, Proc. of HCI2013 (Springer LNCS8018), 147 - 156, English[Refereed]International conference proceedings
- Mar. 2013, 人工知能学会先進的学習科学と工学研究会(ALST-67), 7 - 12, Japaneseモデルの誤りに関する説明能力を持つモデリング学習環境の開発Symposium
- 教育システム情報学会事務局, Jan. 2013, 教育システム情報学会誌, 30(1) (1), 42 - 53, Japanese誤りの可視化による階層構造の理解を指向したコンセプトマップ構築学習の支援環境[Refereed]Scientific journal
- Dec. 2012, Proc. Of ICCE2012, EnglishError-based Simulation for Learning of Meaning of Class Structure by Concept Mapping[Refereed]International conference proceedings
- Jul. 2012, Proc. Of QR2012, EnglishA Model-Building Learning Environment with Error-based Simulation[Refereed]International conference proceedings
- National Institute of Education, Nanyang Technological University, 2012, Work-in-Progress Poster (WIPP) Proceedings of the 20th International Conference on Computers in Education, ICCE 2012, 9 - 11, EnglishError-based simulation in concept mapping for learning about meaning of class structureInternational conference proceedings
- 2012, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7315, 620 - 621, English[Refereed]International conference proceedings
- Dec. 2011, Proc. Of ICCE2011, EnglishPreliminary Evaluation of an Intelligent Authoring System for 'Graph of Microworlds'[Refereed]International conference proceedings
- Dec. 2011, Proc. Of ICCE2011, 81 - 85, EnglishError-based Simulation in Dynamics and its Evaluation in Junior High School[Refereed]International conference proceedings
- Aug. 2011, 教育システム情報学会第37回全国大会公演論文集, 270 - 271, Japanese階層構造の意味的理解のための誤りへのフィードバック環境の設計と評価Symposium
- 人工知能学会, Jul. 2011, 人工知能学会研究会資料, 62, 1 - 6, Japanese生物領域におけるコンセプトマップ構築学習のための誤りの可視化Symposium
- Dec. 2010, Proc. Of ICCE2010, 275 - 279, EnglishA Technique of Error Awareness for Pencil Drawing[Refereed]International conference proceedings
- Sep. 2010, 日本科学教育学会第34回年会論文集, Japanese運動状況を対象としたError-based Simulation と中学校理科における授業実践Symposium
- Aug. 2010, 教育システム情報学会第35回全国大会公演論文集, 423 - 424, JapaneseError-based Simulationの静止状況から運動状況への拡張及び授業実践Symposium
- Jul. 2010, 人工知能学会先進的学習科学と工学研究会(ALST-59), 25 - 30, Japaneseコンセプトマップへのフィードバックを目的とする誤りの可視化Symposium
- Jul. 2010, 人工知能学会先進的学習科学と工学研究会(ALST-59), JapaneseError-based Simulationのモデリング学習環境への展開へ向けてSymposium
- 人工知能学会, Jun. 2010, 人工知能学会全国大会(第24回)論文集, 24, 1 - 4, Japaneseモデリング学習環境におけるフィードバック設計の枠組みSymposium
- 教育システム情報学会事務局, Nov. 2009, 教育システム情報学会誌, 26(4) (4), 329 - 338, Japanese初等力学を対象とした問題変更演習支援システムの設計・開発[Refereed]Scientific journal
- 2009, ARTIFICIAL INTELLIGENCE IN EDUCATION, 200, 207 - +, English[Refereed]International conference proceedings
- 2009, ARTIFICIAL INTELLIGENCE IN EDUCATION, 200, 207 - +, English[Refereed]International conference proceedings
- 2009, ARTIFICIAL INTELLIGENCE IN EDUCATION, 200, 409 - +, English[Refereed]International conference proceedings
- 中学理科において,Error-based Simulation (EBS)を用いて力学を学習させる授業実践を行った.EBSとは生徒の誤答が正しいと仮定したときの対象系の振る舞いを模擬するシミュレーションである.事前/事後/遅延テストの結果,EBSは生徒の問題解決における達成度の大きな改善をもたらし,その効果は3ヶ月後も持続した.また,生徒は授業時とは異なる問題の解決においても高い達成度を示し,概念的理解が起こっていることが示唆された.Japan Society for Educational Technology, Dec. 2008, 日本教育工学会論文誌, 32巻Suppl.号, pp.113-116, 113 - 116, Japanese[Refereed]Scientific journal
- Japanese Society for Information and Systems in Education, Sep. 2008, 教育システム情報学会誌, Vol.25, No.2, pp.194-203(2) (2), 194 - 203, Japanese
This paper reports on the practice of a lesson in a junior high school in which Error-based Simulation (EBS) was used to help students learn elementary mechanics. EBS simulates the motion of a mechanical system assuming that studentsユ erroneous solutions were correct. EBS has been proved to be effective in laboratory experiments. Twenty-four students participated in the lesson lasting 110 minutes and learned mechanics by using the system which generates and shows EBS. They also worked on the pre-/post-/delay-tests and were interviewed by the teacher after the lesson. The results are as follows: (1) Through the highly motivating lesson activities, the students discovered the knowledge of mechanics by themselves, (2) It was highly effective in improving the studentsユ performance in solving mechanics problems. Furthermore, this improvement was maintained, and (3) the usability of the system proved sufficient for practice in classroom lessons. These results are encouraging for the practical use of EBS in junior high school lessons.
[Refereed]Scientific journal - Jun. 2008, Proc. of QR'08, pp.49-57, EnglishIntelligent Support for Authoring ’Graph of Microworlds’ based on Compositional Modeling Technique[Refereed]International conference proceedings
- Feb. 2008, 電子情報通信学会論文誌, J91-D, No.02, pp.324-332(2) (2), Japanese鉛筆デッサンが表す写実誤りの三次元モデルによる顕在化[Refereed]Scientific journal
- シミュレーションに基づく学習環境における漸進的な知識獲得支援のためのマイクロワールドグラフある現象の理解を深める際,現象のシミュレーションであるMW (MicroWorld)を用いて現象を擬似体験させることは有用であるとされている.また,あるMWを体験し理解させるだけでなく,そのMWから徐々に複雑なものへと移行していくことで,複雑な現象の理解へとつなげていくICM (Increasingly Complex Microworld)のアプローチは効果的であるとされている。これまで,ICMに基づく様々な学習環境が開発され,有用性の検証も行われている.しかし,従来の研究では,固定的なMW系列を用意するものがほとんどであり,適応性において問題があった.本論文では,適応的な制御において重要な課題である(1)移行という観点からのMW間の関係記述,(2)移行に伴い発生する学習者にとって克服すべき課題の抽出とその対応への支援,に対する一つの解決手法として(a)個々のMWの特徴及びMW間の関係を記述する枠組みとしてマイクロワールドグラフを提案し,この枠組みに基づいて,(b)隣接する二つのMW間の移行に伴う課題(タスク)を抽出する機能,及びそれに関する説明を生成する機能の実現手法を述べる.The Institute of Electronics, Information and Communication Engineers, Feb. 2008, 電子情報通信学会論文誌, J91-D, No.02, pp.303-313(2) (2), 303 - 313, Japanese[Refereed]Scientific journal
- 2008, PRICAI 2008: TRENDS IN ARTIFICIAL INTELLIGENCE, 5351, 951 - +, EnglishDomain-Independent Error-Based Simulation for Error-Awareness and Its Preliminary Evaluation[Refereed]International conference proceedings
- Virtual Experimental Environment to Support Learning by Designing Physical ExperimentAcquiring the ability to use physical laws to deal with concrete physical situations is one of the most important targets in physics learning. In the learning, however, students are usually required only to solve exercise problems by using the physical laws. The students who can solve exercise problems with the laws cannot always use the laws to deal with the concrete physical situation. We, therefore, propose a virtual experimental environment where students are required to deal with physical situations with the laws measuring several attributes in order to derive an attribute. In this paper, the implementation of the environment and the results of experimental are also described.教育システム情報学会, Jun. 2007, Transactions of Japanese Society for Information and Systems in Education, Vol.24, No.02, pp.83-94(2) (2), 83 - 94, Japanese[Refereed]Scientific journal
- 一般社団法人 人工知能学会, 2007, 人工知能学会全国大会論文集, 7(0) (0), 2E43 - 2E43, Japanese
本研究では適応的なマイクロワールド系列を生成するための枠組みとしてマイクロワールドグラフの提案と,そのグラフにおいて重要な意味を持つ移行タスクとその自動生成手法および開発した自動生成システムについて述べる
- 2007, SUPPORTING LEARNING FLOW THROUGH INTEGRATIVE TECHNOLOGIES, 162, 519 - 526, EnglishA Classroom Practice of Error-Based Simulation as Counterexample to Students' Misunderstanding of Mechanics[Refereed]International conference proceedings
- IOS Press, Nov. 2006, Proc. of ICCE2006 DSC Paper, pp.659-660, 659 - 660, EnglishLearning Environment for Designing Physics Experiment: DEEP[Refereed]International conference proceedings
- Oct. 2006, Proc. of E-Learn2006, pp.3067-3075, EnglishInteractive Environment to Support Learning by Designing Physics Experiments[Refereed]International conference proceedings
- Jun. 2006, Proc. of ED-MEDIA2006, pp.2443-2445, EnglishVirtual Experimental Environment to Support Learning by Designing Physics Experiment[Refereed]International conference proceedings
- 2006, INTELLIGENT TUTORING SYSTEMS, PROCEEDINGS, 4053, 655 - 665, EnglishRobust simulator: A method of simulating learners' erroneous equations for making error-based simulation[Refereed]Scientific journal
- Japanese Society for Artificial Intelligence, 2006, Transactions of the Japanese Society for Artificial Intelligence, 21(6) (6), 514 - 525, Japanese[Refereed]Scientific journal
- Sep. 2005, Proc. of JWCL2005, pp.1-6, EnglishError Visualization to Scaffold Metacognitive Activity[Refereed]International conference proceedings
- 2005, ARTIFICIAL INTELLIGENCE IN EDUCATION, 125, 670 - 677, EnglishGraph of Microworlds: A Framework for Assisting Progressive Knowledge Acquisition in Simulation-based Learning Environments[Refereed]International conference proceedings
- 2005, TOWARDS SUSTAINABLE AND SCALABLE EDUCATIONAL INNOVATIONS INFORMED BY LEARNING SCIENCES, 133, 140 - 147, EnglishConceptual Changes in Learning Mechanics by Error-based Simulation[Refereed]International conference proceedings
- Dec. 2004, Proc. of ICCE2004, pp.105-111, EnglishError-visualization in multi-agent social simulations for developing children's statistical skills[Refereed]International conference proceedings
- 日本教育心理学会, 2004, 日本教育心理学会総会発表論文集, 46, 74 - 74, Japanese
- 日本教育心理学会, 2004, 日本教育心理学会総会発表論文集, 46, 73 - 73, Japanese
- 2004, ED-MEDIA 2004: World Conference on Educational Multimedia, Hypermedia & Telecommunications, Vols. 1-7, pp.497-504, 497 - 504, EnglishA simulation-based learning environment assisting scientific activities based on the classification of 'surprisingness'[Refereed]International conference proceedings
- 2003, Proceedings of International Conference on Computers in Education(ICCE2003), pp.1163-1170, EnglishTutoring System for Pencil Drawing DisciplineScientific journal
- 2003, Proceedings of International Conference on Computers in Education(ICCE2003), pp.1074-1078, EnglishA Computational Framework of Thoought Experiment EnvironmentsScientific journal
- In simulation-based learning environments, 'unexpected' phenomena often work as counterexamples which promote a learner to reconsider the problem. It is important that counterexamples contain sufficient information which leads a learner to correct understanding. This paper proposes a method for creating such counterexamples. Error-Based Simulation (EBS) is used for this purpose, which simulates the erroneous motion in mechanics based on a learner's erroneous equation. Our framework is as follows: (1) to identify the cause of errors by comparing a learner's answer with the problem-solver's correct one, (2) to visualize the cause of errors by the unnatural motions in EBS. To perform (1), misconceptions are classified based on problem-solving model, and related to their appearance on a learner's answers (error-identification rules). To perform (2), objects' motions in EBS are classified and related to their suggesting misconceptions (error-visualization rules). A prototype system is implemented and evaluated through a preliminary test, to confirm the usefulness of the framework.The Japanese Society for Artificial Intelligence, Nov. 2002, Transactions of the Japanese Society for Artificial Intelligence, 17, 462 - 472, Japanese
- 2002, INTERNATIONAL CONFERENCE ON COMPUTERS IN EDUCATION, VOLS I AND II, PROCEEDINGS, 552 - 556, EnglishPCA: Simulating erroneous equations for error-visualization[Refereed]International conference proceedings
- Springer Verlag, 2001, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2253, 468 - 474, EnglishInternational conference proceedings
- 1999, ARTIFICIAL INTELLIGENCE IN EDUCATION, 50, 421 - 428, EnglishError-visualization by error-based simulation considering its effectiveness - Introducing two viewpoints[Refereed]International conference proceedings
- 1997, ARTIFICIAL INTELLIGENCE IN EDUCATION, 39, 450 - 457, EnglishError-visualization by Error-Based Simulation and its management[Refereed]International conference proceedings
- Elsevier, 1995, Advances in Human Factors/Ergonomics, 20(C) (C), 833 - 838, EnglishScientific journal
- Dec. 2024, 情報通信学会技術研究報告, 124(306) (306), 27 - 34プログラミングを対象としたサブゴール学習支援における振る舞い可視化の効果
- Aug. 2024, 教育システム情報学会全国大会講演論文集, 255 - 256Error-based Simulationにおける学習者の誤りと力の因果関係に基づく補助問題自動生成システムの授業実践のテスト結果の分析
- Mar. 2024, 人工知能学会第100 回先進的学習科学と工学研究会資料, 30 - 35EBSにおける力の因果関係に基づく補助問題自動生成システムの授業実践の結果の分析
- Last, Aug. 2023, 第48回教育システム情報学会全国大会論文集, 127 - 128, JapaneseVR型及び従来型操船シミュレータにおける状況認識および意思決定に関する学習効果の違いについてSummary national conference
- Last, Jul. 2023, 第98回人工知能学会先進的学習科学と工学研究会資料, 13 - 18, Japanese論理的推論の習得を指向した学習支援システムに関する研究Summary national conference
- Last, Nov. 2022, 第96回人工知能学会先進的学習科学と工学研究会資料, 1 - 5, Japanese論理的推論の習得を指向した学習支援システムの設計・開発
- Last, Aug. 2022, 第47回教育システム情報学会全国大会論文集, 95 - 96, JapaneseVR型及び従来型操船シミュレータにおける文脈の有無が状況認識に与える影響
- Last, Aug. 2022, 第47回教育システム情報学会全国大会論文集, 93 - 94, JapaneseVR型及び従来型操船シミュレータにおける視覚情報の違いが大型船の衝突判断に与える影響
- 人工知能学会, 09 Mar. 2020, 先進的学習科学と工学研究会, 88, 103 - 108, JapaneseDevelopment of a Learning Support System in Physics using Failure Diagnosis through Exploring Parameters by Learners
- Lead, Mar. 2020, 人工知能, 35(2) (2), 192 - 200, Japanese知識モデリングに基づく学習支援[Refereed][Invited]Introduction scientific journal
- 人工知能学会, 06 Jul. 2019, 先進的学習科学と工学研究会, 86, 66 - 69, JapaneseProposal of a Learning Support System Considering Learners' Problem-solving Process of Parts in Programming
- 人工知能学会, 06 Jul. 2019, 先進的学習科学と工学研究会, 86, 70 - 73, JapaneseDevelopment of a Learning Support System with Measurement for Assisting Trial and Error in Physics
- 人工知能学会, 07 Mar. 2019, 先進的学習科学と工学研究会, 85, 104 - 109, JapaneseA Model of Process for Acquire and Expand Activity of Parts in Programming
- 2019, 先進的学習科学と工学研究会資料, 85thInfluence of Perspective of Information Source on Navigation Strategy for Collision Avoidance Judgement at Sea
- 人工知能学会, 23 Nov. 2018, 先進的学習科学と工学研究会, 84, 9 - 14, JapaneseDevelopment of Learning Support System with Drawing Interface and Conversion Function from Graphic to Symbolic Sentence in Locus Problem
- 人工知能学会, 14 Jul. 2018, 先進的学習科学と工学研究会, 83, 13 - 18, JapaneseEvaluation of Learning Activities of a Learning Support System enabling for Graphical Feedback to Template-Based Answers in Mathematics
- 人工知能学会, 14 Jul. 2018, 先進的学習科学と工学研究会, 83, 25 - 28, JapaneseDevelopment of a Learning Support System with Manipulate Measurement for Assisting Trial-and-Error and Understanding in Physics
- 人工知能学会, 14 Jul. 2018, 先進的学習科学と工学研究会, 83, 29 - 34, JapaneseAn evaluation of how students' behavior and understanding are influenced by the method of assistance in model building learning environment
- 人工知能学会, 14 Jul. 2018, 先進的学習科学と工学研究会, 83, 35 - 40, JapaneseExamination of a Task Presentation Method Adapted to Learners' Comprehension by Structuralized Task in Programming
- 人工知能学会, 13 Mar. 2018, 先進的学習科学と工学研究会, 82, 1 - 6, JapaneseDevelopment of a Learning Support System with Function for Facilitation of Active Error-Awareness through Graphical Feedback of Symbolic Sentence in Locus Problem Using Answer Template
- 人工知能学会, 13 Mar. 2018, 先進的学習科学と工学研究会, 82, 7 - 12, JapaneseStudy of Expanding a Task Sequence for Programming Learning
- 人工知能学会, 13 Mar. 2018, 先進的学習科学と工学研究会, 82, 73 - 78, JapaneseDevelopment and Evaluation of a Learning Support System with Error-Based Simulation by means of Speed and Weight Measurement in Physics Expressions
- 人工知能学会, 13 Mar. 2018, 先進的学習科学と工学研究会, 82, 79 - 84, JapaneseDevelopment of an Error-Based Simulation for Understanding Relationship to force, acceleration, velocity and movement
- 電子情報通信学会, 11 Nov. 2017, 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 117(296) (296), 41 - 46, JapaneseDevelopment of a Error based Simulation with Speed and Weight Measurement in Physics
- 電子情報通信学会, 11 Nov. 2017, 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 117(296) (296), 47 - 52, JapaneseStudy of a Stepwise Task Sequence in Programming
- 人工知能学会, 12 Nov. 2016, 先進的学習科学と工学研究会, 78, 1 - 5, JapaneseThe Effect of Problem Sequence on Learners' Conceptual Understanding in Mechanics
- 01 May 2015, 人工知能 = journal of the Japanese Society for Artificial Intelligence, 30(3) (3), 283 - 284, JapaneseAssisting Students in Embodying Their Knowledge for Model-building
- Error-based Simulation to Support Learning by Concept MappingTo support learning in a learning domain, it is important to consider relationship between important concepts in the domain, and it is effective learning method to let learners construct Concept Map in the domain. However, learners cannot construct it easily and individual diagnosis is required. Moreover, because it is hard for learners to adjust their concept map, feedback method for highly motivation is necessary. In this research, we design and develop functions for individual diagnosis for concept maps constructed by learners and for feedback using Error-based Simulation having highly motivation.The Institute of Electronics, Information and Communication Engineers, 04 Dec. 2009, IEICE technical report, 109(335) (335), 13 - 18, Japanese
- 人工知能学会, 2009, 論文集, 23, 1 - 4, JapaneseInteractive Generation of Derivative Problems Using Graph of Microworlds
- 人工知能学会, 2009, 論文集, 23, 1 - 4, JapaneseA model-based indexing framework of physics problems and a method of the authoring : Compositional modeling approach
- 人工知能学会, 14 Mar. 2008, 先進的学習科学と工学研究会, 52, 77 - 82, JapaneseLearning environment for problem-based problem-posing
- 日本理科教育学会, 2008, 日本理科教育学会全国大会要項, (58) (58), 366 - 366, Japanese2M-02 誤り可視化シミュレーションを用いた授業実践とその評価 : ニュートンの第三法則を対象として(一般研究発表(口頭発表),日本理科教育学会第58回全国大会)
- 人工知能学会, 27 Jul. 2007, 先進的学習科学と工学研究会, 50, 7 - 12, JapaneseA report on classroom practices error-based simulation to improve junior high school students' understanding of mechanics
- Japan Society for Science Education (JSSE), 10 Aug. 2006, 年会論文集;日本科学教育学会, 30, 245 - 246, JapaneseDiscovery Learning with EBS Experiment of the Newtonian Third Law : Project of "Challenging to Newton!!"
- 人工知能学会, 05 Nov. 2005, 先進的学習科学と工学研究会, 45, 23 - 28, Japanese様々な教授法に対するマイクロワールドグラフの情報提供能力の評価 (テーマ:「学習モデルと知的支援」および一般)
- Japanese Society for Engineering Education, 09 Sep. 2005, 工学・工業教育研究講演会講演論文集, 17, 670 - 671, Japanese2-328 Development of a Virtual Experiment Environment for Learning by Designing Physical Experiment
- 人工知能学会, 06 Nov. 2004, 先進的学習科学と工学研究会, 42, 7 - 14, Japaneseモデルグラフに基づく発展的知識獲得の支援環境 (「セマンティックWebとE-learning」および一般)
- 教育システム情報学会, Sep. 2004, 教育システム情報学会研究報告, 19(3) (3), 43 - 48, Japanese社会シミュレーションにおける誤りの可視化 (学習モデルの再考と知的学習支援システム)
- Japan Society for Science Education (JSSE), 06 Aug. 2004, 年会論文集;日本科学教育学会, 28, 109 - 112, JapaneseError-Visualization for Error Awareness
- Jul. 2004, 教育システム情報学会誌, Vol.21, No.3, pp.178-186(3) (3), 178 - 185, Japanese「誤りからの学習」を指向した誤り可視化の試み[Refereed]Introduction scientific journal
- 人工知能学会, 14 May 2004, 先進的学習科学と工学研究会, 41, 37 - 42, Japanese仮想実験環境における学習者による仮説設定と仮説に基づく実験評価 (「e-Learningにおける学習支援とコンテンツ開発」および一般)
- Hypothesis-based Evaluation of Hypothesis-testing Experiment in a Virtual Experiment EnvironmentLearning through experiments is performed by a process which is composed of (1) making a hypothesis, (2) planning an experiment, (3)practicing the experiment, and (4)examining the results. Although many virtual experiment environments have been developed to support the process of learning through experiments, they have only provided the experiment environment to make the practicing easier. We pay special attention that the meaning of the experiment should be evaluated based on the hypothesis that is the target of the experiment. To evaluate the experiment based on the hypothesis, two functions, (a) acquisition of hypothesis and (b) evaluation of experiment based on hypothesis, are required. In this paper, we explain the necessity of the two functions and introduce the framework of the virtual experiment environment with the two functions. We also report the results of the experimental use of the environment.The Institute of Electronics, Information and Communication Engineers, 07 May 2004, IEICE technical report. Education technology, 104(48) (48), 37 - 42, Japanese
- 人工知能学会, 26 Mar. 2004, 知的教育システム研究会, 40, 13 - 20, Japaneseモデルグラフに基づく科学的探究の支援環境 (テーマ:「Learning TechnologyとLearning Scienceのよき協調を目指して--学習支援システムのデザイン,開発,評価の方法論再考」および一般)
- 11 Oct. 2003, 日本教育工学会大会講演論文集, 19(1) (1), 121 - 122, JapaneseA Simulator of Thought Experiment for Facilitating Intrinsic Motivation
- 人工知能学会, 15 Mar. 2003, 知的教育システム研究会, 37, 33 - 38, Japanese「思考実験」を補助する枠組みの提案とロバストシミュレータの実現 (テーマ:「新しいLearning Technology & Science」および一般)
- 人工知能学会, 04 Oct. 2002, 知的教育システム研究会, 36, 1 - 8, Japanese部分制約解析法による誤り方程式のシミュレーション (テーマ:「インタラクティブシステムとエージェント技術」および一般)
- 教育システム情報学会事務局, 01 Nov. 2001, 教育システム情報学会誌 = Transactions of Japanese Society for Information and Systems in Education, 18(3) (3), 364 - 376, JapaneseSimulation-Based Learning Environment for Assisting Error-Awareness - Management of Error-Based Simulation Considering the Expressiveness and Effectiveness -
- 人工知能学会, 29 Sep. 2001, 知的教育システム研究会, 33, 43 - 48, JapaneseError-Awarenessを支援する仮想実験環境の設計法について (テーマ:「一般」および「情報の可視化と知識マネジメント」)
- 人工知能学会, 09 Nov. 2000, 人工知能基礎論研究会, 43, 59 - 64, JapaneseError Awareness:誤りへの気づきを支援する学習環境 (小特集 予兆・チャンスの発見と利用) -- (特別セッション チャンス発見2)
- 人工知能学会, 03 Jul. 2000, 人工知能学会全国大会論文集 = Proceedings of the Annual Conference of JSAI, 14, 53 - 56, JapaneseThe Implementation of EBS Management System Considering Cause of Errors
- 人工知能学会, 03 Jul. 2000, 人工知能学会全国大会論文集 = Proceedings of the Annual Conference of JSAI, 14, 59 - 62, JapaneseOn the cognition of moving objects in kinetic simulation
- 日本教育工学会, 04 Dec. 1999, Research report of JET Conferences, 99(6) (6), 31 - 38, JapaneseError-Based Simulation management considering cause of errors
- 人工知能学会, 30 Oct. 1998, 知的教育システム研究会, (23) (23), 7 - 12, Japanese可視化効果を考慮した Error-Based Simulationの制御手法と実装--2つの視点を中心として (知的教育システム研究会(第23回)テ-マ:「情報の可視化/一般」)
- 16 Jun. 1998, 人工知能学会全国大会論文集 = Proceedings of the Annual Conference of JSAI, 12, 600 - 603, JapaneseCognitive Analysis of the Effectiveness of EBS and Its Management
- Management of Error-Based Simulation Using Qualitative Reasoning TechniquesIt is important for a student to understand that he/she made an error in problem solving in order to correct and prevent it from being repeated. We previously proposed a framework of a simulation which reflects an error a student made in solving a mechanics problem. Irregular and unnatural behavior of mechanics objects rcflecting an error helps a student understand that his/her solution is erroneous, because it visualizes what would happen based on his/her erroneous solution. We call the simulation "Error-Based Simulation (EBS)" and such a visualization "Error-Visualization". We have implemented a generator of EBS (EBS-generator) and evaluated the effectiveness of EBS on some examples of erroneous solution through an experiment. However, EBS isn't always effective for Error-Visualization. When EBS has only a quantitative difference from a normal simulation (NS), it isn't effective for a student to understand an error. EBS should have a qualitative difference from NS to be effective. Therefore, it is very important to diagnose the difference between EBS and NS in order to make use of EBS effectively for Error-Visualization. In this paper, we propose a framework for managing EBS and a method of its implementation based on qualitative reasoning techniques. The framework is based on an assumption that in order for EBS to be effective for Error Visualization, it should have a qualitative difference from NS in an object's velocity or in the ratio of an object's velocity's change to a parameter's change. The module which manages EBS is called EBS-manager. Its error management procedure consists of two phases. In Phase 1, by using qualitative simulation, behaviors of EBS and NS are predicted and then compared with each other. When a qualitative difference is found, EBS-manager judges that the EBS is effective. When a qualitative difference cannot be found, it proceeds to Phase 2. In Phase 2, by using comparative analysis, EBS-manager tries to find a parameter of which perturbation causes a qualitative difference between FBS and NS. When such a parameter is found, EBS-manager judges that the EBS with the perturbation is effective. When such a parameter cannot be found, EBS-manager judges that EBS isn't effective. We have implemented the EBS-manager and evaluated its effectiveness through an experiment. In this paper, we also discuss the result and outline our future work.人工知能学会, 01 Mar. 1997, Journal of Japanese Society for Artificial Intelligence, 12(2) (2), 285 - 296, Japanese
- 人工知能学会, Mar. 1997, 知的教育システム研究会, (17) (17), 44 - 49, JapaneseEBSの誤り可視化効果に関する2つの視点の導入とそれに基づく制御 (知的教育システム研究会(第17回)テ-マ:教育とコミニュケ-ション,招待講演)
- A Method to Motivate a Learner to Correct an Error : Error-Visualization with Error-Based SimulationThis paper describes a method to motivate a leaner to correct an error in an erroneous equation for a mechanical problem. The method visualizes the error by mapping the erroneous equation to the behavior simulation. The behavior simulation reflecting the erroneous equation is called Error-Based Simulation, EBS for short. This paper also proposes a framework to diagnose and control the effectiveness of EBS to visualize the erroneous equation by using qualitative reasoning techniques. A prototype system to generate and control EBS has implemented and evaluated through an experiment.Information Processing Society of Japan (IPSJ), 05 Jul. 1996, IPSJ SIG Notes, 96(61) (61), 9 - 16, Japanese
- 人工知能学会, Jul. 1996, ヒュ-マンインタフェ-スデザイン研究会, (28) (28), 8 - 13, Japanese誤り修正のための内発的動機付け--Error-Based Simulationによる誤りの可視化 (<テ-マ>サイバ-・エジュケ-ション)
- Creating Cognitive Conflict by Error-Based Simulation in Mechanical ProblemTransformation of representation is a promising method to visualize some constraint relations which are implicit in the original representation. In the environment where some constraint relations are visualized, (1) behaviors or thinking of learners are constrained, then the constraint relations prevent errors or promote successful behaviors on thinking, and (2) errors are visualized and the visualized errors create cognitive conflict. The cognitive conflict is very useful to motivate learners to correct their errors by themselves. In this paper, we propose Error-Based Simulation which generates behavior simulation based on learner's erroneous solution in a mechanical problem. The difference between EBS and normal simulation visualizes the error in the solution and creates learner's cognitive conflict. This paper also describes a control method to use EBS effectively.The Institute of Electronics, Information and Communication Engineers, 20 Apr. 1996, IEICE technical report. Education technology, 96(16) (16), 89 - 90, Japanese
- 24 Jul. 1995, 人工知能学会全国大会論文集 = Proceedings of the Annual Conference of JSAI, 9, 581 - 584, JapaneseError visualization by Error-simulation and its managemant using qualitative reasoning techniques
- 01 Jul. 1995, 教育システム情報学会誌 = Transactions of Japanese Society for Information and Systems in Education, 12(2) (2), 109 - 120, JapaneseA Learning Environment for Knowledge-Structuring in History
- 22 Apr. 1995, 教育システム情報学会研究報告, 1995(1) (1), 1 - 8, JapaneseA Learning Environment for Knowledge-Structuring in History
- A Learning Environment for Knowledge-Structuring in HistoryIn this paper, we present a system which explicitly helps a student structurize his/her knowledge in history, a subject in most cases learned by rote. In this system, we use two strategies to help the student : Knowledge-Structuring by Visualization (KSV) and Knowledge-Structuring by Reasoning (KSR). The former enables a student to communicate with the system smoothly by using a visualization tool. The latter enables him/her to firmly grasp knowledge by acquiring it through his/her own reasoning. We have implemented our system on a Sun SPARCstation10, and asked ten subjects to learn history with the system. With the result that seven of them reporting that the system contributed to a deeper understanding of history on his/her part.The Institute of Electronics, Information and Communication Engineers, 22 Apr. 1995, IEICE technical report. Education technology, 95(14) (14), 1 - 8, Japanese
- Joint work, Springer International Publishing, Mar. 2016, English, ISBN: 9783319177274Learning, Design, and Technology: An International Compendium of Theory, Research, Practice, and PolicyScholarly book
- Joint work, ミネルヴァ書房, Oct. 2012, Japanese教育工学とシステム開発Scholarly book
- 第84回人工知能学会先進的学習科学と工学研究会, Nov. 2018, Japanese, 人工知能学会先進的学習科学と工学研究会, Domestic conference軌跡を題材とした作図インタフェースから記号文への変換フィードバック機能を有する学習支援システムの開発Oral presentation
- 第83回人工知能学会先進的学習科学と工学研究会, Jul. 2018, Japanese, 人工知能学会先進的学習科学と工学研究会, Domestic conference数学におけるテンプレート方式の解答へ図形フィードバックを可能とする学習支援システムの活動評価Oral presentation
- 第83回人工知能学会先進的学習科学と工学研究会, Jul. 2018, Japanese, 人工知能学会先進的学習科学と工学研究会, Domestic conference観測器の操作を通して学習者試行錯誤促す力学学習支援システムOral presentation
- 第83回人工知能学会先進的学習科学と工学研究会, Jul. 2018, Japanese, 人工知能学会先進的学習科学と工学研究会, Domestic conferenceモデリング学習環境における支援タイプの違いが学習者の振舞いおよび学習効果に与える影響の検証Oral presentation
- 第83回人工知能学会先進的学習科学と工学研究会, Jul. 2018, Japanese, 人工知能学会先進的学習科学と工学研究会, Domestic conferenceプログラミング課題を構造化することによる理解状態に適応した課題提示方法の検討Oral presentation
- 第82回人工知能学会先進的学習科学と工学研究会, Mar. 2018, Japanese, 人工知能学会先進的学習科学と工学研究会, Domestic conference速度・重量の観測器による誤り可視化を目的とした 力学習支援システムの開発と評価Oral presentation
- 第82回人工知能学会先進的学習科学と工学研究会, Mar. 2018, Japanese, 人工知能学会先進的学習科学と工学研究会, Domestic conference解答テンプレートを用いた軌跡題材とし記号文の図形的フィードバックによる能動誤り発見支援機能を有する学習システムの開発Oral presentation
- 第82回人工知能学会先進的学習科学と工学研究会, Mar. 2018, Japanese, 人工知能学会先進的学習科学と工学研究会, Domestic conferenceプログラミング学習を対象とした課題系列の拡張Oral presentation
- 第82回人工知能学会先進的学習科学と工学研究会, Mar. 2018, Japanese, 人工知能学会先進的学習科学と工学研究会, Domestic conferenceError-Based Simulation のデータ分析に基づく素朴概念修正効果の検証とモニタリング機能の拡張Oral presentation
- 第82回人工知能学会先進的学習科学と工学研究会, Mar. 2018, Japanese, 人工知能学会先進的学習科学と工学研究会, Domestic conferenceError-Based Simulationに対する力・加速度 ・運動間 の関係性理解 支援機能 の開発Oral presentation
- 第80回人工知能学会先進的学習科学と工学研究会, Jul. 2017, Japanese, 人工知能学会先進的学習科学と工学研究会, Domestic conference物理の概念的理解を指向した問題索引付けの枠組みに基づく説明生成器の構築と評価Oral presentation
- 第79回人工知能学会先進的学習科学と工学研究会, Mar. 2017, Japanese, 人工知能学会先進的学習科学と工学研究会, Domestic conferenceモデリング学習環境におけるモデルの構造レベル及び振る舞いレベルの支援比較Oral presentation
- 人工知能学会第78回先進的学習科学と工学研究会, Nov. 2016, Japanese, 人工知能学会, 神奈川, Domestic conference力学の概念的理解における問題系列の効果についてOral presentation
- 第30回人工知能学会全国大会, Jun. 2016, Japanese, 人工知能学会, 福岡, Domestic conference自己調整活動の経験型支援システムの設計・開発 -単純化方略を用いた行き詰まりの自己克服を対象として-Oral presentation
- 第30回人工知能学会全国大会, Jun. 2016, Japanese, 人工知能学会, 福岡, Domestic conferenceモデリング学習環境におけるモデルの差異検出機能とその評価Oral presentation
- 人工知能学会第76回先進的学習科学と工学研究会, Mar. 2016, Japanese, 人工知能学会, 兵庫, Domestic conference物体にはたらく力・加速度・速度の関連付けのためのError-Based SimulationOral presentation
- 2015年度JSiSE学生研究発表会, Feb. 2016, Japanese, 教育システム情報学会, 広島, Domestic conferenceError-Based Simulationを用いた力学演習におけるモニタリングツールの設計・開発Oral presentation
- 2009年JSiSE(教育システム情報学会)学生研究発表会, Mar. 2009, Japanese, 岡山, Domestic conference日常知と学校知を結ぶモバイル型物理実験検索システムの開発Oral presentation
- 人工知能学会全国大会(第23回), 2009, Japanese, 香川, Domestic conference現象のモデル化プロセスに基づく物理問題の特徴付けとその支援手法Oral presentation
- 人工知能学会全国大会(第23回), 2009, Japanese, 香川, Domestic conferenceマイクロワールドグラフを用いた派生問題の対話的自動生成システムOral presentation
- 第50回人工知能学会先進的学習科学と工学研究会(ALST-50), Jul. 2007, Japanese, 東京, Domestic conferenceA Report on Classroom Practices of Error-based Simulation to Improve Junior High School Students' Understanding of MechanicsOral presentation
- 教育システム情報学会第31回全国大会, Aug. 2006, Japanese, 教育システム情報学会, 大阪, Domestic conferenceAutomatic Generation of Tasks for Progressive Knowledge Acquisition in Graph of MicroworldsOral presentation
- 人工知能学会全国大会(第20回), Jun. 2006, Japanese, 人工知能学会, 東京, Domestic conferenceImplementation and Evaluation of Robust Simulator for Error-based SimulationOral presentation
- 教育システム情報学会30周年記念全国大会, Aug. 2005, Japanese, 教育システム情報学会, Kanazawa, Domestic conferenceThe effect of Error-based Simulation on students' conceptual change in learning mechanicsOral presentation
- 人工知能学会研究会資料 SIG-IES-A303=03 pp.13-20, 2004, Japanese, 未記入, 未記入, Domestic conferenceモデルグラフに基づく科学的探究の支援環境、A simulation-based environment assisting scientific activities based on the graphs of modelsOral presentation
- International Artificial Intelligence in Education Society
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- 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, Apr. 2021 - Mar. 2025Development of a Problem Practice System That Promotes Knowledge Generalization based on Analogy
- Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (B), Hiroshima University, 01 Apr. 2019 - 31 Mar. 2022Online collaborative environment for knowledge building with reciprocal kit-building of concept mapOnline available environment for collaborative knowledge building with reciprocal kit-building of concept maps was designed and developed, and experimental evaluation of the environment was conducted in this research. In the reciprocal kit-building of concept maps, learners are requested to create a concept map individually at first, then, they exchange the components and re-compose concept maps with each other. By overlapping the original map and re-composed map, the differences are extracted. It was confirmed that the visualized differences were effective to activate the discussion among learners. In this research, an environment where several learners are allowed to access at the same time online and to conduct reciprocal kit-building has been implemented. Through the experimental use of the environment, it was confirmed that the environment promoted discussion and knowledge building of participants more than the usual concept map creation tool.
- 科学研究費補助金/基盤研究(B), Apr. 2017 - Mar. 2021, Principal investigatorCompetitive research funding
- Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (B), Hiroshima University, 01 Apr. 2015 - 31 Mar. 2019Support of Structural Comprehension of Mathematics World ProblemArithmetic/mathematic word problems can be defined as a problem that requires a solver to transfer a linguistic representation into a mathematical representation and to derive required values by using the mathematical representation. The word problem is an important learning item that promotes a learner to master the use of mathematics to solve real-world problems. In this research, the process of transferring from linguistic representation to mathematics representation is modeled as a triangle block model. Then, it has been designed and developed a learning environment where a learner is able to conduct the transformation by using the model interactively and exploratory. The learning environment has been evaluated through practical uses of it in classes.
- 学術研究助成基金助成金/挑戦的萌芽研究, Apr. 2016 - Mar. 2019, Principal investigatorCompetitive research funding
- 科学研究費補助金/基盤研究(B), Apr. 2014 - Mar. 2017, Principal investigatorCompetitive research funding
- 学術研究助成基金助成金/挑戦的萌芽研究, Apr. 2014 - Mar. 2016, Principal investigatorCompetitive research funding
- Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, Grant-in-Aid for Challenging Exploratory Research, Japan Advanced Institute of Science and Technology, 01 Apr. 2013 - 31 Mar. 2015Causality-compliant theory of force and motion for its innovative instructionCurrent methods for teaching about "force and motion" depend on the use of equations and do not place emphasis on adequately supporting an understanding based on causality. One possible reason for this is the lack of a causality-compliant theory that gives a consistent treatment of the problem of action and reaction, the problem of apparent forces like centrifugal force, and so on. By adopting a naive view of causality (causality-based understanding) that agrees with human experience, we constructed a causal theory of force and motion. This theory can serve as the foundation for an educational approach in helping junior high and high school students understand and explain various phenomena related to forces and motion. Using this approach, we developed an outline of educational support methods and a general-purpose motion simulator with the ability to provide automated causal explanations of physical phenomena.
- Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (B), Hiroshima University, 01 Apr. 2012 - 31 Mar. 2015Support of Knowledge Construction with Kit-Build Concept MapIn this research, we have implemented knowledge construction support system with kit-build concept map. Firstly, we gathered data of learner maps from practical uses in science learning in an elementary school, social study in an junior high school and social science in an collage. Based on analysis of the errors in kit-build concept maps and categorization of them, we have implemented support function for the errors in concept map building as support of knowledge construction. Through experimental evaluation, we have confirmed that support for mis-connected links is positive effect to the size and completeness of map. As or the support for un-connected links, it is effective to promote learner deeper comprehension of a learning material.
- Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, Grant-in-Aid for Challenging Exploratory Research, Hiroshima University, 2010 - 2011Concept Change with Counterexamples of Thought ExperimentIn this research, we have proposed a framework of promotion of concept change with counterexamples generated by thought experiment. We have designed and implemented two concrete systems for normal reaction in mechanics and for classification tree of animals and plants. Through experimental uses of the systems, we have confirmed the counterexamples generated by the systems were useful to promote subjects concept changes.
- Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (B), Hiroshima University, 2009 - 2011Interactive Concept Map with Kit-Build MethodIn this research, we have proposed kit-build method to realize diagnosable concept maps. In the kit-build method, a goal map is prepared beforehand and parts of concept map are generated by decomposing the goal map. Learners build their concept map by using the parts. The concept maps composed by the parts are easily diagnosed by comparing the original goal map. We have implemented a system based on the framework and use the system practically in an elementary school. Through the experiment, we have confirmed that the framework and the system is promising.
- 学術研究助成基金助成金/基盤研究(C), 2011, Principal investigatorCompetitive research funding
- 科学研究費補助金/基盤研究(C), 2008, Principal investigatorCompetitive research funding
- 科学研究費補助金/基盤研究(C), 2005, Principal investigatorCompetitive research funding
- 科学研究費補助金/基盤研究(C), 2005Competitive research funding
- 日本学術振興会, 科学研究費助成事業, 特定領域研究, 2003 - 2004仮想実験環境における仮説・検証を補助する思考実験シミュレータ本研究では,仮想実験環境における仮説・検証を補助する思考実験シミュレータの設計・開発を試みた.このシミュレータを構成する三つのモジュール,(1)仮説解釈器,(2)ロバストシミュレータ,(3)教育的評価器,のうち,学習者の誤った仮説を真とした上でのシミュレーションを実行するロバストシミュレータについては,前年度までに実現していたので,本年度においては,残りの(1)仮説解釈器,と(3)教育的評価器,を高校程度の力学を具体的な対象領域として実現を目指して,その基本設計とプロトタイプの作成を行った.仮説解釈においては,まず学習者に力学系を与え,グラフィカルツールを用いてその力学系についての定性モデルを作成させ,それを仮説として定性方程式化する機能が実現されている.入力された方程式に基づいてロバストシミュレータがシミュレーションを行うが,方程式が誤っていた場合には,方程式の表す制約集合(全体系)から,互いに矛盾しない全ての部分集合(部分系)を取り出し,その部分系の範囲でシミュレーションを行う.このため,複数のシミュレーション結果が出力されることになる.出力された複数の結果を教育的観点から評価し,学習者に仮説の誤りに気づかせ,その誤りの修正へと導くために有用な情報を含んでいると判断できるものだけを学習者に提示する機能が,教育的評価器として設計された.
- 日本学術振興会, 科学研究費助成事業, 若手研究(B), 神戸大学(海事科学部), 2002 - 2003発見的な知識の構成を支援する仮想実験環境の構築研究計画に基づき,仮想実験環境を構成する主要モジュールである,1a)仮説生成器,2a)実験計画器,1b)仮説入力インターフェース,2b)実験計画インターフェニスの設計と実装を行った.仮説生成器は,対象系において成立する定性的・定量的制約の集合(あらかじめ与えておくから,観測(既知)事実を説明できる部分集合を求める能力を持つ.実験計画器は,仮説を説明するために必要な事実を推論する能力を持つ.また,対象系においてしばしば現れる定性的・定量的制約の組み合わせを抽出し,「モデルグラフ」(各ノードがモデル(制約の1つの組み合わせ)に,その間のエッジが仮説(モデル)の切り替えに対応する)として記述しておくことにより,推論の効率化を実現した.インターフェースとしては,初等力学を例として,概念マップ.(意味ネットワーク)の形で仮説・実験計画を入力できるものを実装した. これらのモジュールを,平成14年度に作成した仮想実験シミュレータおよび可視化モジュールと統合し,発見学習を支援する仮想実験環境のプロトタイプを作成した.現在は,初等力学のいくつかの例題を対象として動作しているが,汎用的な設計のため,他の領域(電気回路,熱力学等を検討中)に対しても使用可能である.学習効果の検証は今後の課題であるが,予備実験の結果では,システムの助言は被験者によって有効であると評価され,システムの生成したシミュレーションを観察した被験者の多くが適切に誤りを認識するという,良好な結果が得られている.
- Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (B), Kyushu Institute Of Technology, 2001 - 2003Categorization of Parts of Intelligent Virtual Experiment Development of Parts DatabaseIn this research, we have developed ontology for components of virtual experiment environment, database of the components and an authoring tool to design virtual experiment environment. In the developing the ontology, we examine several virtual experiments that are already developed, and analyze functions and components of that the virtual experiment environments are composed. In the database of the components, a user can retrieve components by using function the user needs to develop a virtual experiment environment. The authoring tool helps the user to find and combine the components. We have also developed a concrete virtual experiment environment as an example to the effectiveness of the ontology and the analysis. Thought experiment environment is a framework to simulate, thought experiment on computer, and provides useful information with learners for reflecting their errors, that is designed based on the analysis. We also have also proposed a method to realize robust simulation "PAC : Partial Constraint Analysis", and implemented. This method is indispensable to generate behavior simulation based on the learner's errors. By calculating the numerical behavior based on learner's error, with PAC, Error-Based Simulation is generated to visualize the error. The difference between normal simulation and the EBS makes obvious the error. Through these researches, we categorize and lines up components of virtual experiment environment. Currently, this research only deals with mechanical problems. To expand the domain in the whole physics and the other scientific domain is our future work.
- 日本学術振興会, 科学研究費助成事業, 特定領域研究, 九州工業大学, 2002 - 2002仮想実験環境の高度化を指向した思考実験シミュレータ自然への知的好奇心や探究心を高め,論理的思考能力や創造性を伸ばす上で,「実験を通した学習」の有効性が広く認められている.仮想実験環境とは,計算機上に仮想的な実験環境を構築し,より安全かつ手軽に,またより多くの学習者が主体的に実験に参加できるようにすることを目指して研究されているものである.平成14年度においては,仮想実験環境を構成するモジュールの一つである「思考実験シミュレータ」のプロトタイプを実現した.この「思考実験シミュレータ」では,学習者の仮説を入力として,生起する現象をその仮説に基づいて予測し,その推論過程と生起する現象を学習者に可視化する機能を実現している.この際,学習者の立てた誤った仮説に基づいて,ありえない現象を予測し,またその現象を可視化することによって学習者に仮説の誤りに気づかせることを狙っている点が特色となる. 本思考実験シミュレータは,実験の対象を力学系とした上で,(1)仮説入力インタフェイス,(2)定性的因果推論モジュール,(3)可視化モジュール,により構成されている.仮説入力インタフェイスにおいては,学習者が入力できる仮説を,対象となる力学系において観測可能なパラメータの定性的振る舞い間の因果関係のみに制限している.定性的因果推論モジュールでは,予め力学系についての因果関係モデルを用意しておき,そのモデルに対して学習者の仮説を追加することにより,学習者の仮説を反映した現象の予測を行う.可視化モジュールは,さらに,(a)推論過程可視化機能,と(b)現象可視化機能,により構成している.
- 日本学術振興会, 科学研究費助成事業, 奨励研究(A), 神戸商船大学, 1998 - 1999仮想実験環境における定性推論の技法を用いた誤りの可視化とその制御知的教育支援システム研究分野では,計算機上に構築された仮想実験環境内での挙動シミュレーションを用いて,様々な物理概念を説明する機能の実現が,近年の重要な課題となっている.本研究の目的は,学習者が誤った物理概念を有する場合に,その発見・修正を支援するシミュレーションの生成・提示の枠組みの提案である. 第1年度は,学習者の誤りを反映した挙動シミュレーションの生成法を提案・実装し,シミユレ一ション上のおかしな動きが予想と異なるとき,誤りへの気づきが生起することを確認した.シミュレータの設計においては提示された現象が予想される現象と「速度」において定性差を持つ場合に差異を認識できるという条件を仮定しこれに基づいて可視化効果を診断する機能を実現した.定性推論機構(QSlM)による自動化が実現されている. 第2年度は,シミュレータの扱える誤りの範囲を拡大するため,提示された現象と予想される現象との定性差が「速度」のみならず「速度の変化率」の場合にも効果的であると仮定し,可視化効果の診断機能を拡張した.定生推論機構(DQ解析)による自動化が実現されている.また,可視化効果の診断条件を検証するための認知実験を,専用に設計されたシミユレータを用いて行い,仮説を裏付ける結果を得た. 設計・構築されたシミュレーション制御システムは,人間の観察者による検証実験により,その効果が確認された.本研究により,シミュレーションを用いた仮想実験環境の,教育効果を考慮した運用法に関する指針が得られたと考える.また,人間の運動視に関する,有益な認知的知見も得られた.研究成果は,別掲の雑誌掲載論文,国際会議発表論文などにより公表されている.
- Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (B), Osaka University, 1997 - 1999Management of Cognitive Conflict with Qualitative Reasoning Techniques in Virtual Experimental EnvironmentIn the field of intelligent tutoring systems, how to motivate learners has been one of central issues recently. Many researchers insist that creation of cognitive conflict is an effective way. It occurs when a phenomenon in real world is different from a learner's prediction. Behavior simulation is a promising method to do this. A simulation which reflects a learner's error can be different from the simulation of correct behavior which he/she predicted. The purpose of our research is to establish the method how to create conflict effectively by using behavior simulation. The followings are necessary : (1) to generate unreal simulation based on a learner's erroneous formula, (2) to identify the mechanism by which human differentiate two phenomena and to automatize it, (3) to evaluate whether the "different" phenomena really cause cognitive conflict and to implement this mechanism. In the first year, task (1) has been performed. The difficulty is that the violation of constraint in learners' formulae is too various to generate simulation by the unified method. We solved this problem by limiting the variation of errors to deal with. The simulator which generate unreal simulation has been implemented and evaluated. In the second year, we worked at task (2). The criteria which human is supposed to use to differentiate two phenomena is assumed and verified by cognitive experiments. The mechanism which diagnoses the difference with this criteria is proposed (by using qualitative reasoning). It has been implemented and evaluated. In the last year, we accomplished task (3). Various factors which affect the total performance of simulation (i. e. whether it cause cognitive conflict) are structurized by introducing two viewpoints. One of them concerns the visual effect of simulation and the other its method of expression. Each factor's way of influence has been verified by cognitive experiments. Based on these analyses, we have constructed the mechanism which controls behavior simulations considering their educational effectiveness. The implemented system has been evaluated, and the result was mostly supportable. Through this research project, the method how to create cognitive conflict effectively by using behavior simulation has been established, and it gives a guideline to utilize virtual experimental environments of great potential, we believe.