Challenges of technology accessibility, computer self-efficacy, computer anxiety and cyberphobia in adoption of e-learning systems among students

Bilquis Ferdousi
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Bilquis Ferdousi: School of Information Security and Applied Computing, USA

Advances in Online Education: A Peer-Reviewed Journal, 2023, vol. 1, issue 2, 121-130

Abstract: Integration of emerging digital technology in academic learning is becoming prevalent in higher education. In the current educational environment, it is important to adopt new advanced technology that changes the way learning is processed in academic institutions. Students’ inaccessibility to technologies required in their class, as well as their lack of confidence in using technology, are, however, obstacles in their adoption of new technology for successful continuation of online learning or e-learning. Based on a systematic and extensive review of research in current literature, the study described in this paper investigated the factors that create challenges in students’ technology adoption for their academic learning. The literature reviewed included recent and relevant studies supported by the classical theories in this area. The finding shows that accessibility to the required technology, along with psychological factors such as computer self-efficacy and computer anxiety or cyberphobia, have an impact on students’ adoption of e-learning systems. This paper summarises the current state of relevant knowledge and suggests several strategies to address the challenges of these factors that create obstacles to achieving effective learning objectives in the e-learning environment. The study plans to provide a better understanding regarding students’ accessibility to advanced computer technology and the psychological factors that may affect their successful achievement in e-learning.

Keywords: technology accessibility; computer self-efficacy; computer anxiety; cyberphobia; e-learning systems adoption (search for similar items in EconPapers)
JEL-codes: A2 I2 (search for similar items in EconPapers)
Date: 2023
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