Abstract
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 language | English |
|---|---|
| Pages (from-to) | 296-301 |
| Number of pages | 6 |
| Journal | Proceedings of the International Conference on Tools with Artificial Intelligence |
| State | Published - 1998 |
| Externally published | Yes |
| Event | Proceedings of the 1998 IEEE 10th International Conference on Tools with Artificial Intelligence - Taipei, China Duration: 10 11 1998 → 12 11 1998 |