A model-building learning environment with explanatory feedback to erroneous models

Tomoya Horiguchi; Tsukasa Hirashima; Kenneth D Forbus

doi:10.1007/978-3-642-30950-2_90

A model-building learning environment with explanatory feedback to erroneous models

Tomoya Horiguchi^*, Tsukasa Hirashima, Kenneth D Forbus

^*Corresponding author for this work

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

Abstract

Many model-building learning environments (MBEs) have been developed to support students in acquiring the ability to build appropriate models of physical systems. However, they can't explain how the simulated behavior of an erroneous model is unnatural. Additionally, they can't create any feedback when the model is unsolvable. We introduce a MBE which overcomes these problems with two technical ideas: (1) robust simulator which analyzes the consistency of a model and relaxes some constraints if necessary, and (2) semantics of constraints which is a systematic description of physical meanings of constraints and provides heuristics for explaining the behavioral unnaturalness.

Original language	English (US)
Title of host publication	Intelligent Tutoring Systems - 11th International Conference, ITS 2012, Proceedings
Pages	620-621
Number of pages	2
DOIs	https://doi.org/10.1007/978-3-642-30950-2_90
State	Published - 2012
Event	11th International Conference on Intelligent Tutoring Systems, ITS 2012 - Chania, Crete, Greece Duration: Jun 14 2012 → Jun 18 2012

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7315 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	11th International Conference on Intelligent Tutoring Systems, ITS 2012
Country	Greece
City	Chania, Crete
Period	6/14/12 → 6/18/12

Keywords

errorawareness/ correction
model-building learning environment
qualitative reasoning
robust simulator
semantics of constraints

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-642-30950-2_90

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Horiguchi, T., Hirashima, T., & Forbus, K. D. (2012). A model-building learning environment with explanatory feedback to erroneous models. In Intelligent Tutoring Systems - 11th International Conference, ITS 2012, Proceedings (pp. 620-621). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7315 LNCS). https://doi.org/10.1007/978-3-642-30950-2_90

Horiguchi, Tomoya ; Hirashima, Tsukasa ; Forbus, Kenneth D. / A model-building learning environment with explanatory feedback to erroneous models. Intelligent Tutoring Systems - 11th International Conference, ITS 2012, Proceedings. 2012. pp. 620-621 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Horiguchi, T, Hirashima, T & Forbus, KD 2012, A model-building learning environment with explanatory feedback to erroneous models. in Intelligent Tutoring Systems - 11th International Conference, ITS 2012, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7315 LNCS, pp. 620-621, 11th International Conference on Intelligent Tutoring Systems, ITS 2012, Chania, Crete, Greece, 6/14/12. https://doi.org/10.1007/978-3-642-30950-2_90

A model-building learning environment with explanatory feedback to erroneous models. / Horiguchi, Tomoya; Hirashima, Tsukasa; Forbus, Kenneth D.

Intelligent Tutoring Systems - 11th International Conference, ITS 2012, Proceedings. 2012. p. 620-621 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7315 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Horiguchi T, Hirashima T, Forbus KD. A model-building learning environment with explanatory feedback to erroneous models. In Intelligent Tutoring Systems - 11th International Conference, ITS 2012, Proceedings. 2012. p. 620-621. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-30950-2_90