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The use of information theory and personal probabilities in computer based learning

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Published:01 February 1976Publication History
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Abstract

If a student to machine response falls outside a predetermined range during computer based instruction, then some off line procedures (or an ignore command) must be invoked. This observation points out that student to machine response is generally that of a multiple choice format with a perhaps large, but still finite, list of possible responses. In this paper we will discuss the uses of information theory and the Bayesian philosophy of probability to evaluate student to machine responses when there is a well defined set of possible answers.

References

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      • Published in

        cover image ACM SIGCSE Bulletin
        ACM SIGCSE Bulletin  Volume 8, Issue 1
        Proceedings of the SIGCSE-SIGCUE joint symposium on Computer science education
        February 1976
        399 pages
        ISSN:0097-8418
        DOI:10.1145/952989
        Issue’s Table of Contents
        • cover image ACM Conferences
          SIGCSE '76: Proceedings of the ACM SIGCSE-SIGCUE technical symposium on Computer science and education
          February 1976
          403 pages
          ISBN:9781450374125
          DOI:10.1145/800107

        Copyright © 1976 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 1 February 1976

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