PhySimC - An intelligent assistant for case-based learning

被引：0
|
作者：
Hsu, JYJ [1 ]
Ting, CJ [1 ]
机构：
[1] Natl Taiwan Univ, Dept Comp Sci & Informat Engn, Taipei 106, Taiwan
来源：
TENTH IEEE INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, PROCEEDINGS | 1998年
关键词：
D O I：
10.1109/TAI.1998.744857
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：296 / 301
页数：6
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