2018年
Analysis and classification of university students' educational skills using a computer-assisted web-interviewing questionnaire
Procedia Computer Science
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- 巻
- 126
- 号
- 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
- ID情報
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- DOI : 10.1016/j.procS.2018.07.250
- eISSN : 1877-0509
- SCOPUS ID : 85056638800