PHYSIMC: an intelligent assistant for case-based learning

Abstract

The 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) 2D 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.