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IJIET 2017 Vol.7(8): 612-616 ISSN: 2010-3689
doi: 10.18178/ijiet.2017.7.8.941

Determining Digital Literacy Competencies in Technical Senior High Schools Using Fuzzy Delphi Analysis

David W. S. Tai, Ren-Cheng Zhang, Yu-Te Wang, and Ray Wang

Abstract—The main purpose of this study was to establish appropriate competency indicators for Digital literacy of technical senior high schools in Taiwan. The paper describes and discusses the final results by using the expert panel and Fuzzy Delphi method, involving 32 experts from academia, school teacher and industrial information related areas. Furthermore, the Fuzzy Delphi technique was conducted and 53 competency indicators were proposed after this process. In the finding of the Fuzzy Delphi analysis, the experts thought that the most important competencies are “Recognize the legal consequences of plagiarism and the need for personal authenticity in their work”, “Respects intellectual property rights”, and “Recognize that using media or technology to defame, libel, or misrepresent another person or group constitutes unacceptable behavior”.

Index Terms—Digital literacy, expert panel, fuzzy Delphi.

David W. S. Tai is with the Dept. of Computer Science and Information Management, Hungkuang University, Taichung 43302, Taiwan (e-mail: david60123@gmail.com).
Ren-Cheng Zhang and Yu-Te Wang are with the Dept. of Industrial Education and Technology, National Changhua University of Education, Changhua 500, Taiwan (clayclctw@hotmail.com, te@ms.tcgs.tc.edu.tw).
Ray Wang is with the Dept. of Hospitality Management, Hungkuang University, Taichung 43302, Taiwan (e-mail: ketr501215@sunrise.hk.edu.tw).

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Cite: David W. S. Tai, Ren-Cheng Zhang, Yu-Te Wang, and Ray Wang, "Determining Digital Literacy Competencies in Technical Senior High Schools Using Fuzzy Delphi Analysis," International Journal of Information and Education Technology vol. 7, no. 8, pp. 612-616, 2017.

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Jon-Chao Hong
  • Managing Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (CiteScore 2022: 2.0), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Google Scholar
  • E-mail: ijiet@ejournal.net

 

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