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ERIC Number: ED012106
Record Type: RIE
Publication Date: N/A
Pages: 27
Abstractor: N/A
Reference Count: 0
ISBN: N/A
ISSN: N/A
TOWARDS BETTER CURRICULA THROUGH COMPUTER SELECTED SEQUENCING OF SUBJECT MATTER.
REISMAN, ARNOLD; TAFT, MARTIN I.
A MATHEMATICAL MODEL OF ESTABLISHED AND INDUSTRIALLY VALIDATED LEARNING AND FORGETTING THEORIES IS OUTLINED, AND A COMPUTER-EXECUTED HEURISTIC ALGORITHM FOR SELECTING THE BEST SCHEDULE FOR SUBJECT PRESENTATION IS GIVEN. FUNDAMENTAL PARAMETERS OF THE MODEL INCLUDE EDUCATION POTENTIAL, TYPE OF SUBJECT MATTER, TYPE OF LEARNER, TEACHING METHODS, AND NUMBER OF TIMES A GIVEN SUBJECT HAS BEEN TAUGHT OR REINFORCED. THE SIMULATION MODEL (1) OFFERS A UNIFIED APPROACH TO CURRICULUM PLANNING, (2) ALLOWS THE LEARNER TO BE MADE AN INTEGRAL INPUT TO CURRICULUM PLANNING, (3) FOCUSES ATTENTION ON MAJOR VARIABLES CONNECTED WITH CURRICULUM RESEARCH AND OFFERS A PARTICULAR FUNCTIONAL RELATIONSHIP BETWEEN THESE VARIABLES, AND (4) REPRESENTS A DETAILED PLAN OF ACTION. THE MODEL'S GREATEST SIGNIFICANCE LIES IN ITS PRESENTATION OF AN EXPLICIT CONCEPTUAL FRAMEWORK WHICH CAN BE TESTED, VERIFIED, IMPROVED, OR REJECTED. THE COMPUTER PROGRAM IS WRITTEN IN FORTRAN IV. (HM)
Publication Type: N/A
Education Level: N/A
Audience: N/A
Language: N/A
Sponsor: N/A
Authoring Institution: N/A
Identifiers: N/A