Accession Number : ADA309569

Title :   Graphical Representations and Causal Models in Intelligent Interactive Learning Environments.

Descriptive Note : Final rept.,

Corporate Author : PRINCETON UNIV NJ DEPT OF PSYCHOLOGY

Personal Author(s) : Reiser, Brian J.

PDF Url : ADA309569

Report Date : MAR 1996

Pagination or Media Count : 27

Abstract : This research project investigates how an interactive learning environment can support students learning and acquisition of mental models when acquiring a target cognitive skill. In this project, we have constructed GIL, an intelligent tutoring system for LISP programming, and have used GIL to conduct pedagogical experiments on skill acquisition. Progress in the current year includes extensions to GIL's graphical representation and model tracing capabilities. The experiments run this year include a study of how GIL's graphical representations facilitate learning for complex programming skills and how GIL enables students to engage in a more natural resoning than the traditional text-based representation of the programming language.

Descriptors :   *PROBLEM SOLVING, *ARTIFICIAL INTELLIGENCE, ALGORITHMS, SKILLS, STUDENTS, ARMY PERSONNEL, ARMY TRAINING, COGNITION, REASONING, COMPUTER PROGRAMMING, PROGRAMMING LANGUAGES, INPUT OUTPUT PROCESSING, COMPUTER GRAPHICS, PATTERN RECOGNITION, SYSTEMS ANALYSIS, COURSES(EDUCATION), INTERACTIVE GRAPHICS, MAN COMPUTER INTERFACE, COMPUTER AIDED INSTRUCTION, MENTAL ABILITY, SYNTAX, CONDITIONING(LEARNING), TRANSFER OF TRAINING.

Subject Categories : Personnel Management and Labor Relations
      Cybernetics

Distribution Statement : APPROVED FOR PUBLIC RELEASE