論文

査読有り
2019年

Design of a supporting system for consultation of instructional improvement

Advances in Intelligent Systems and Computing
  • Yusei Suzuki
  • ,
  • Ryuichi Matsuba
  • ,
  • Katsuaki Suzuki
  • ,
  • Toshihiro Kita
  • ,
  • Shin Ichiro Kubota
  • ,
  • Hiroaki Nishino

772
開始ページ
927
終了ページ
935
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1007/978-3-319-93659-8_86
出版者・発行元
Springer

© 2019, Springer International Publishing AG, part of Springer Nature. In many universities instructional designers consult and provide appropriate advice to faculty members about instructional improvement. It usually takes many times for such instructional consultation. We have developed a supporting system useful for instructional designers to provide expert advice to their clients in the instructional consultation. We made a questionnaire for evaluating a course instruction by students in an effort of the system development, in which we compose items based on ARCS motivation model. The questionnaire has superiority over existing ones in term of narrowing down the strategies of instructional improvement, so that instructional designers prepare appropriate tactics of improvement to their clients in shorter period. Then we developed a prototype system that automatically detects improvements by analyzing the result of the questionnaire, and to suggest several suitable improvement tactics. This proposal showed the possibility to semi-automate multiple steps of motivational design of instruction in relatively short time.

リンク情報
DOI
https://doi.org/10.1007/978-3-319-93659-8_86
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85049239214&origin=inward
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85049239214&origin=inward
Dblp Cross Ref
https://dblp.uni-trier.de/conf/cisis/2018
Dblp Url
https://dblp.uni-trier.de/db/conf/cisis/cisis2018.html#SuzukiMSKKN18
ID情報
  • DOI : 10.1007/978-3-319-93659-8_86
  • ISSN : 2194-5357
  • DBLP ID : conf/cisis/SuzukiMSKKN18
  • SCOPUS ID : 85049239214

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