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

Authors:
Tomoya Horiguchi;Tsukasa Hirashima;Kenneth D. Forbus
Affiliations:
Graduate School of Maritime Sciences, Kobe University, Japan;Department of Information Engineering, Hiroshima University, Japan;Qualitative Reasoning Group, Department of Electrical Engineering and Computer Science, Northwestern University
Venue:
ITS'12 Proceedings of the 11th international conference on Intelligent Tutoring Systems
Year:
2012

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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.