Instruction structure analysis appling fuzzy number

Seiji Saito, Takenobu Takizawa

研究成果: Conference contribution

抄録

Applying fuzzy clustering method to the instruction structure analysis, we can investigate whether the order of teaching item is suitable or not. However, when the teacher gives learners partial points, it is difficult to judge whether the leaner solve the problem correctly or not. In this paper, the authors regard the score of the test as the fuzzy number, and present a new analysis method using fuzzy number. We show some graphs required for analysis based on the results of examination for high school students and represent the effectivity of the method.

本文言語English
ホスト出版物のタイトルFCTA 2016 - 8th International Conference on Fuzzy Computation Theory and Applications
編集者Juan Julian Merelo, Fernando Melicio, Jose M. Cadenas, Antonio Dourado, Kurosh Madani, Antonio Ruano, Joaquim Filipe
出版社SciTePress
ページ88-92
ページ数5
ISBN(電子版)9789897582011
DOI
出版ステータスPublished - 2016
イベント8th International Joint Conference on Computational Intelligence, IJCCI 2016 - Porto, Portugal
継続期間: 2016 11 92016 11 11

出版物シリーズ

名前IJCCI 2016 - Proceedings of the 8th International Joint Conference on Computational Intelligence
2

Other

Other8th International Joint Conference on Computational Intelligence, IJCCI 2016
国/地域Portugal
CityPorto
Period16/11/916/11/11

ASJC Scopus subject areas

  • コンピュータ グラフィックスおよびコンピュータ支援設計
  • 人工知能
  • ソフトウェア
  • 計算理論と計算数学

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