Examining online learning motivations of university students studying via distance education in the Covid-19 pandemic by digital literacy variable
Abstract
Purpose: A total of 422 university students participates in this study where the digital literacy of university students studying via distance education in the Covid-19 pandemic by online learning motivation variable is examined. Methodology: In the study, Personal Information Form, Digital Literacy Scale (DLS) and Online Learning Motivation Scale (OLMS) are used. The research is structured in descriptive and relational scanning models. Findings: According to the data obtained, it is stated that the digital literacy and online learning motivation of the students within the scope of the research is at medium level; digital literacy levels do not differ by gender and grade level; there is a statistically significant difference in online learning motivation level of students in favor of female students; on the other hand, in the score of the whole online learning motivation scale, there is a significant difference between 2nd and 4th grade students in favor of 2nd grade students and between 3rd and 4th grade students in favor of 3rd grade students; there is a moderately positive and statistically significant relationship between students’ digital literacy and online learning motivation levels and their online learning motivation and digital literacy predict each other by 21.8 %. Highlights: Given that 21.8 % of students’ online learning motivation is interpreted by their digital literacy or vice versa, increasing the development of students’ both digital literacy and online learning motivation levels with in-school and out-of-school trainings is suggested.
Keywords
COVID-19 pandemic , Digital literacy , Distance education , online learning motivation , University students
References
- Agarwal, R., Sambamurthy, V., & Stair, R. (2000). The evolving relationship between general and special computer self-efficacy-An empirical assessment. Information Systems Research, 11(4), 418-430. doi:10.1287/isre.11.4.418.11876
- Aguilera-Hermida, A. P. (2020). College students’ use and acceptance of emergency online learning due to COVID-19. International Journal of Educational Research Open, September, 1. https://doi.org/10.1016/j.ijedro.2020.100011
- Albelbisi, N., & Yusop, F. (2019). Factors influencing learners’ self-regulated learning skills in a massive open online course (MOOC) environment. Turkish Online Journal of Distance Education, 20, 1-16. 10.17718/tojde.598191.
- Aoki, K. (2010). The use of ICT and e-learning in higher education in Japan. World Academy of Science, Engineering and Technology, 66, 868-872.
- Arnone, M. P., & Small, R. V. (1999). Evaluating the motivational effectiveness of children’s websites. Educational Technology, 39(2), 51-55.
- Artino, A. R. (2008). Motivational beliefs and perceptions of instructional quality: Predicting satisfaction with online training. Journal of Computer Assisted Learning, 24(3), 260-270. doi: 10.1111/j.1365-2729.2007.00258.x
- Artino Jr., A. R., & Stephens, J. M. (2009). Academic motivation and self-regulation: A comparative analysis of undergraduate and graduate students learning online. Internet and Higher Education, 12, 146-151. doi: 10.1016/j.iheduc.2009.02.001
- de Barba, P. G., Kennedy, G. E., & Ainley, M. D. (2016). The role of students’ motivation and participation in predicting performance in a MOOC. Journal of Computer Assisted Learning, 32(3), 218e231. http://dx.doi.org/10.1111/jcal.12130.
- Balcı, A. (2020). Sosyal bilimlerde araştırma yöntem, teknik ve ilkeler [Research Methods, Techniques and Principles in Social Sciences]. Pegem Akademi [Pegem Academy]. [In Turkish]
- Bawden, D. (2001). Information and digital literacies: A review of concepts. Journal of Documentation, 57(2), 218-259.