Attitude, digital literacy and self efficacy: Flow-on effects for online learning behavior
By D. Prior, J. Mazanov, David Meacheam, Graham Heaslip, James Hanson. Internet and Higher Education, 2016
464 citations recorded by the source corpus.
Abstract Online distance education allows easy and convenient access to learning opportunities. As with other forms of education, high self-efficacy often encourages greater student confidence and autonomy. While self-efficacy has been shown to have positive effects in face-to-face education, its antecedents and consequences in online distance education are less clear. This study addresses this issue. First, it considers two important antecedents: attitude and digital literacy. Second, the study considers the effects of self-efficacy on three important learning behaviors: peer engagement, learning management system (LMS) interaction and course convener interaction. Findings from an online survey of 151 postgraduate business students suggest that positive student attitude and digital literacy significantly contribute to self-efficacy. In turn, self-efficacy has positive effects on peer engagement, learning management system (LMS) interaction and convener interaction.
Subfields: Communication, Education, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/5f394269c31ad25af3ad722ef432304dbb1ce81b
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Citations in the corpus
- Measuring user competence in using artificial intelligence: validity and reliability of artificial intelligence literacy scale (2022, methodology): “…many litera-cies have suggested close relationships between users ’ digital literacy and their attitude towards digital technology (Comunello et al. 2015; Eshet 2004; Prior et al. 2016) and their behaviours when using digital technology (Neves, Amaro, and Fonseca 2013; Noh 2017; Park 2013).”
- Trends in Educational Research about e-Learning: A Systematic Literature Review (2009–2018) (2020, background): “In the studies on e-learning, researchers use this variable to predict self-efficacy [43].”
- Teacher support and student motivation to learn with Artificial Intelligence (AI) based chatbot (2023, unknown): “Six items related to DL were adopted from the study of Ng (2012), which had an acceptable level of reliability ( α = .90), which was adopted by Prior et al. (2016).”