Automatic Generation of Sequencing Teaching Items Using Genetic Algorithm

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  • OKAMOTO Toshio
    The Graduate School of Information Systems, University of Electro-Communications
  • MATSUMOTO Tsuyoshi
    The Graduate School of Information Systems, University of Electro-Communications

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  • 遺伝的アルゴリズムを用いた教授項目系列の生成
  • イデンテキ アルゴリズム オ モチイタ キョウジュ コウモク ケイレツ ノ セ

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Abstract

<p>Teachers' routine is to give careful consideration to possible effbcts which will be produced by teaching materials, learning environment and their behavior in their classes while they make plans for their classroom instruction (i.e. Instructional-Design). Alignment of teaching items and learning tasks, namely, automatic generation of sequencing teaching items is one of important problems in Instructional-Design. Some researchers have been engaged in proposing 'problem dependent procedures' for this sequencing of every new teaching strategy and criterion for sequencing. Other have been engaged in developping Instructional Design Supported System with a mechanism which generates sequences of teaching items using Expert-System. Our method does not need this kind of procedures for sequencing, but only the partial knowledge which evaluates the sequence and Genetic-Algorithm is enough. It enables us to generate variable sequences similar to the sequences done by conventional procedures. And it also enables us to get sequences which reflect combinations of some criterion and procedures, and to get ones which no conventional procedure can generate. In this paper we describe the effect of using Genetic-Algorithm and the method of applying Genetic-Algorithm which includes evaluation functions, fitness functions, Crossover, Mutation and their control mechanisms to the problem of automatic generation of sequencing teaching items. And at last we describe the result of our try at simulation making a comparison between one of the conventional methods and our method and the simulation case where some conventional processes are included in our method.</p>

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