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Toward Better Curricula Through Computer Selected Sequencing of Subject Matter

Author

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  • Martin Israel Taft

    (University of Wisconsin-Milwaukee)

  • Arnold Reisman

    (University of Wisconsin-Milwaukee)

Abstract

It is generally recognized that reinforcement, over an extended period of time of a given subject matter taught, enhances the student's mastery and subsequent retention of knowledge and/or skills. Recent major studies of curricula have concentrated on the content and method of presentation but have not made any significant strides towards the systematic exploitation of the potential contribution to the learning process of reinforcement through proper sequencing of subject matter presentation. This paper outlines a mathematical model of the established and industrially validated learning and forgetting theories and presents a computer executed heuristic algorithm for the selection of the best schedule for subject presentation. Applications of this methodology can be made at all levels of our educational system; from the elementary grades through graduate school, in highly academic as well as vocational training programs.

Suggested Citation

  • Martin Israel Taft & Arnold Reisman, 1967. "Toward Better Curricula Through Computer Selected Sequencing of Subject Matter," Management Science, INFORMS, vol. 13(11), pages 926-945, July.
    • Handle: RePEc:inm:ormnsc:v:13:y:1967:i:11:p:926-945
    DOI: 10.1287/mnsc.13.11.926
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    Cited by:

    1. Pat-Anthony Federico & Paul W. Figliozzi, 1981. "Computer Simulation of Social Systems," Sociological Methods & Research, , vol. 9(4), pages 513-533, May.

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