Teaching and learning activity sequencing system using distributed genetic algorithms

Tatsunori Matsui, Tomotake Ishikawa, Toshio Okamoto

研究成果: Article

抜粋

The purpose of this study is development of a supporting system for teacher's design of lesson plan. Especially design of lesson plan which relates to the new subject "Information Study" is supported. In this study, we developed a system which generates teaching and learning activity sequences by interlinking lesson's activities corresponding to the various conditions according to the user's input. Because user's input is multiple information, there will be caused contradiction which the system should solve. This multiobjective optimization problem is resolved by Distributed Genetic Algorithms, in which some fitness functions are defined with reference models on lesson, thinking and teaching style. From results of various experiments, effectivity and validity of the proposed methods and reference models were verified; on the other hand, some future works on reference models and evaluation functions were also pointed out.

元の言語English
ページ(範囲)449-461
ページ数13
ジャーナルTransactions of the Japanese Society for Artificial Intelligence
17
発行部数4
DOI
出版物ステータスPublished - 2002 12 1

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ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

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