人工知能
Online ISSN : 2435-8614
Print ISSN : 2188-2266
人工知能学会誌(1986~2013, Print ISSN:0912-8085)
学習された戦略知識による教材知識の生成
山田 誠二辻 三郎
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解説誌・一般情報誌 フリー

1990 年 5 巻 6 号 p. 787-795

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We suggest the method to generate the instructional knowledge with the instructional knowledge acquired by the learning system. Our method can classify the given problems, decide the order in which the problem groups should be taught, and generate the easily understandable text. At first, a teacher gives the learning system included in the ICAI system the input consisting of basic operators, problems, worked examples. The basic operators are primitive operators for solving problems, and the worked examples are sequences consisting of applied operators in the problem solving. From these input, the leaning system can obtain the strategy knowledge for controlling the applications of operators. The strategy knowledge are macro-operators and heuristic operators. The classification of problems are done by the analysis of worked examples. We assume that the problems classified into the same group should need the same strategy knowledge. The strategy knowledge are represented by the set of operators applied in the worked example. Therefore, we can classify the problems by the applied operators. Next, the order for teaching the problem groups is determined. Since we consider that the easy problems should be taught at first, the teaching sequence is determined in the order of the smaller strategy knowledge. Furthermore, the layered worked examples are generated by the expansion of applied macro-operators. Finally, from all gained instructional knowledge, the ICAI system can generate the text with the worked examples which students can easily understand.

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© 1990 人工知能学会
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