2019年
Design of a supporting system for consultation of instructional improvement
Advances in Intelligent Systems and Computing
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- 巻
- 772
- 号
- 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
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- DOI
- https://doi.org/10.1007/978-3-319-93659-8_86
- DBLP
- https://dblp.uni-trier.de/rec/conf/cisis/SuzukiMSKKN18
- 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
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- DOI : 10.1007/978-3-319-93659-8_86
- ISSN : 2194-5357
- DBLP ID : conf/cisis/SuzukiMSKKN18
- SCOPUS ID : 85049239214