Digital competence of higher education learners in the context of COVID-19 triggered online learning

• Published in: Social sciences & humanities open Vol. 6; no. 1; p. 100320
• Main Authors: Vishnu, Sreeram, Raghavan Sathyan, Archana, Susan Sam, Anu, Radhakrishnan, Aparna, Olaparambil Ragavan, Sulaja, Vattam Kandathil, Jasna, Funk, Christoph
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 2022; The Authors. Published by Elsevier Ltd; Elsevier
• Subjects: Competence; Digital divide; Learning management system; Lock-down; Pandemic; Regular; Lock-down; Pandemic; Competence; Digital divide; Learning management system
• ISSN: 2590-2911; 2590-2911
• DOI: 10.1016/j.ssaho.2022.100320

The spread of COVID-19 caused wide scale disruptions in the educational sector across the globe. Digital education, which involves the use of digital tools, virtual platforms and online learning, is seen as one of the viable alternatives to continue academic activities in such an environment. Higher education institutions have largely switched to this new mode of learning and continue to rely on digital mode in many parts of the world, due to the ongoing pandemic threat. However, learners' competency to effectively engage in online courses and the impact of their socioeconomic background on this competency has not been adequately addressed in the literature. The present study was an attempt to explore these aspects, as they are crucial to the success of digital education. The study was conducted with 833 undergraduate, postgraduate, and doctoral students from an agricultural university to assess their digital competencies and factors that influence effective participation in online courses. The Digital Competence Framework 2.0 of EU Science Hub (DIGCOMP) was adapted and used for this study. Our findings suggest that the learners have a satisfactory level of competence in most of the aspects of digital competence. Majority of the participants were relying on smart phones both as the device for accessing internet as well as for their learning activities. The results of a Tukey's difference in the mean test reveals that learners' digital competence varies significantly by gender, economic profile, and academic level. This finding can be attributed to the difference in their socio-economic background, which confirms digital divide among learners. Our findings have implications for the design of digital higher education strategies and institutional management to ensure effective learner participation, especially for higher education institutions in developing countries.