PhySimC: An intelligent assistant for case-based learning

Jane Yung jen Hsu*, Chien Jung Ting

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review


This paper presents the design and implementation of PhySimC, which supports case-based learning of elementary physics in a computer-assisted simulation environment. The PhySimC system facilitates physics problem solving by providing 1) a user-friendly interface for problem specification via direct manipulation of physical objects, 2) 2-D motion simulation of primitive physical objects, 3) a case library of successful problem-solving episodes, and 4) a browsing tool for relevant problems and their corresponding solutions. As a result, a student can make use of past problem-solving experiences in attempting to solve a new problem. In a knowledge-based simulation environment, such case-based learning tools help narrow the gaps due to incomplete domain knowledge.

Original languageEnglish
Pages (from-to)296-301
Number of pages6
JournalProceedings of the International Conference on Tools with Artificial Intelligence
StatePublished - 1998
Externally publishedYes
EventProceedings of the 1998 IEEE 10th International Conference on Tools with Artificial Intelligence - Taipei, China
Duration: 10 11 199812 11 1998


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