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An Intelligent CAI Monitor and Generative Tutor. Final Report.

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Bibliographic Details
Title: An Intelligent CAI Monitor and Generative Tutor. Final Report.
Authors: Koffman, Elliot B., Perry, James, Connecticut Univ., Storrs. Dept. of Electrical Engineering.
Peer Reviewed: N
Page Count: 68
Publication Date: 1975
Sponsoring Agency: National Inst. of Education (DHEW), Washington, DC.
Document Type: Reports - Research
Descriptors: College Students, Computer Assisted Instruction, Computers, Concept Teaching, Engineering Education, High School Students, Individual Instruction, Mathematical Concepts, Models, Problem Solving, Program Descriptions, Programed Tutoring, Programing, Systems Concepts, Tutorial Programs
Abstract: This final report summarizes research findings and presents a model for generative computer assisted instruction (CAI) with respect to its usefulness in the classroom environment. Methods used to individualize instruction, and the evolution of a procedure used to select a concept for presentation to a student with the generative CAI system are described. The model served as the basis for the design of a CAI system, teaching problem-solving in an introductory course in digital systems design. The system individualizes the instruction which each student receives in accordance with its record of his past performance. In addition, a heuristic technique is used to determine the best path for each student through the tree of course concepts. The refinement of this method of concept selection is described. An evaluation of the generative CAI system and results of classroom usage are also presented. (Author/DAG)
Entry Date: 1977
Accession Number: ED136826
Database: ERIC
Description
Abstract:This final report summarizes research findings and presents a model for generative computer assisted instruction (CAI) with respect to its usefulness in the classroom environment. Methods used to individualize instruction, and the evolution of a procedure used to select a concept for presentation to a student with the generative CAI system are described. The model served as the basis for the design of a CAI system, teaching problem-solving in an introductory course in digital systems design. The system individualizes the instruction which each student receives in accordance with its record of his past performance. In addition, a heuristic technique is used to determine the best path for each student through the tree of course concepts. The refinement of this method of concept selection is described. An evaluation of the generative CAI system and results of classroom usage are also presented. (Author/DAG)