Title :
PHYSIMC: an intelligent assistant for case-based learning
Author :
Hsu, Jane Yung-jen ; Ting, Chien-Jung
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ., Taipei, Taiwan
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
Keywords :
digital simulation; intelligent tutoring systems; learning (artificial intelligence); physics computing; teaching; user interfaces; 2D motion simulation; CAI; PHYSIMC; browsing tool; case based learning; case based learning tools; case library; computer assisted simulation environment; direct manipulation; elementary physics; incomplete domain knowledge; intelligent assistant; knowledge based simulation environment; past problem solving experiences; physical objects; physics problem solving; primitive physical objects; problem solving episodes; problem specification; student; user friendly interface; Computational modeling; Computer aided instruction; Computer science; Computer simulation; Education; Libraries; Multimedia systems; Object oriented modeling; Physics computing; Problem-solving;
Conference_Titel :
Tools with Artificial Intelligence, 1998. Proceedings. Tenth IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
0-7803-5214-9
DOI :
10.1109/TAI.1998.744857
