Browse > Article
http://dx.doi.org/10.14400/JDC.2020.18.7.001

Development of Self Assessment Tool for Digital Literacy Competence  

Yang, Kilseok (Department of Teacher Education Program, The Catholic University of Korea)
Seo, Soohyun (Department of Korean Language Education, Gwangju National University of Education)
Ok, Hyounjin (Department of Elementary Education, Ewha Womans University)
Publication Information
Journal of Digital Convergence / v.18, no.7, 2020 , pp. 1-8 More about this Journal
Abstract
This study aimed to develop a self-reporting assessment tool for digital literacy competence to use it as a tool for self-diagnosis or effectiveness verification in educational programs, considering that digital literacy competence is one of the core competencies for the present and future society. Based on the previous research on digital literacy competence, the tool was developed with 45 question items of 2 areas and 8 factors. The results of an exploratory factor analysis and confirmatory factor analysis conducted to determine suitability were generally satisfactory based on the assessment data from about 3,000 middle school students. The assessment tools developed in this study are primarily applicable to primary and secondary school and adult education. In future research, if the system is developed to be accessible to anyone online based on this tool, and the accumulated data provide educational information for each individual's self-development, it will greatly contribute to improving the digital literacy competence of the people.
Keywords
Digital literacy competence; Self assessment tool; Factor analysis; Affective domain; Awareness test; Behavior test;
Citations & Related Records
연도 인용수 순위
  • Reference
1 K. So. (2007). 'Competency' in the context of schooling. Journal of Curriculum Studies, 25(3), 1-22. DOI : 10.15708/kscs.25.3.200709.001001   DOI
2 C. Lee. (2019). On the virtue of human communication in ultra-digital, AI society. Journal of Education & Culture, 25(1), 681-697. DOI : 10.24159/joec.2019.25.1.681   DOI
3 H. Ok et al. (2016). A study of developing and validating an assessment of digital literacy attitudes. Korean Language Education, 152, 251-284.
4 M. Rokeach. (1973). The nature of human values. New York: Free Press.
5 A. Bandura. (1986). Social foundations of thought and action: A social cognitive theory. Englewood Cliffs, NJ: Prentice Hall.
6 M. Tsai & C. Tsai. (2003). Information searching strategies in web-based science learning: The role of Internet self-efficacy. Innovations in Education and Teaching International, 40(1), 43-50. DOI: 10.1080/1355800032000038822   DOI
7 K. Spangler. (1983). Reading interests vs. reading preferences: Using the research. Reading Teacher, 36, 876-878.
8 J. Zimmerman. (2000). Attaining self-regulation. In M. Boekaerts, P. Pintrich and M. Zeidner (Eds.), Handbook of self-regulation(pp. 13-39). San Diego: Academic Press.
9 H. Jenkins. (2006). Confronting the challenges of participatory culture: Media education for the 21st century. Chicago: MacArthur Foundation.
10 S. Boulianne. (2009). Does Internet use affect engagement?: A meta-analysis of research. Political Communication, 26(2), 193-211. DOI: 10.1080/10584600902854363   DOI
11 M. Ribble. (2015). Digital citizenship in schools. Washington, DC: International Society for Technology in Education.
12 Department for Education (2018). Essential digital skills framework. UK: Department for Education.
13 R. Dobbs, J. Manyika, & J. Woetzel. (2015). No ordinary disruption. New York: PublicAffair.
14 K. Schwab. (2016). The fourth industrial revolution. Geneva: World Economic Forum.
15 OECD (2019). OECD future of education and skills 2030. Paris: OECD. DOI: 10.1016/J.SAPHARM.2017.02.002.
16 M. McLuhan. (2009). Understanding media: The extension of man. New York: Routledge.
17 M. Brown & R. Cudeck. (1993). Alternative ways of assessing model fit. In K. Bollen & J. Long (Eds.), Testing structural equation models(pp. 136-162). Newbury Park, CA: Sage.
18 S. Hong. (2000). The criteria for selecting appropriate fit indices in structural equation modeling and their rationales. Korean Journal of Clinical Psychology, 19(1), 161-177.