論文

本文へのリンクあり
2018年

Analysis and classification of university students' educational skills using a computer-assisted web-interviewing questionnaire

Procedia Computer Science
  • Tadanari Taniguchi
  • ,
  • Yukiko Maruyama
  • ,
  • Daisaku Kurita
  • ,
  • Makoto Tanaka

126
開始ページ
2021
終了ページ
2029
記述言語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1016/j.procS.2018.07.250

© 2018 The Author(s). In this study, we seek to develop an analytic method to set key educational skills (Ess), using a student self-assessment questionnaire. It is difficult to set key academic skills for classes since few Systematic methods are available. A survey featuring 24 Ess was conducted in three ICT classes in our university using a computer-assisted web-interviewing (CAWI) technique. The questionnaire results were analyzed through students' T-test and multidimensional scaling (MDs). An MDs helps to visualize the similarities between these EsS. We demonstrated that the 24 skills can be classified into the following three skills: basic academic skills, practical academic skills, and interpersonal skillS.

リンク情報
DOI
https://doi.org/10.1016/j.procS.2018.07.250
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85056638800&origin=inward 本文へのリンクあり
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85056638800&origin=inward
ID情報
  • DOI : 10.1016/j.procS.2018.07.250
  • eISSN : 1877-0509
  • SCOPUS ID : 85056638800

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