Media multitasking, online vigilance and academic performance among students in three Southern African countries

Le Roux, Daniel B; Parry, Douglas A; Totolo, Angelina; Iyawa, Gloria; Holloway, Jacques; Prenter, Andrew; Botha, Liam

Abstract

High levels of Internet-based media use is a defining feature of behaviour among university students. A growing body of evidence indicates, firstly, that their learning activities are charac-terised by frequent switching between academic content and online media, and, secondly, that this form of behaviour is negatively associated with academic outcomes. It is less clear, however, whether media use and media multitasking in general is associated with academic performance. In the present study we adopted an exploratory frame and a survey-based methodology to investigate this relationship among students from three countries in Southern Africa. In addition to self-reported media use measures, we investigated the predictive capacity of online vigilance on academic performance. Online vigilance is a novel construct which describes individual differences in users' cognitive orientation to online connectedness, their attention to and integration of online-related cues and stimuli, and their prioritisation of online communication. Our findings (n = 1445) indicate a weak, negative association between self-reported media use measures and academic performance, as well as online vigilance and academic performance. Combined, media use and online vigilance predict 9% of variance in academic performance for our full sample. However, when considering only Namibian students (n = 402), they predict 27% of variance. The study findings raise important questions relating to concerns over the potential impacts of general media use behaviours on academic performance among university students.

Citation

Le Roux, D. B., Parry, D. A., Totolo, A., Iyawa, G., Holloway, J., Prenter, A., & Botha, L. (2021). Media multitasking, online vigilance and academic performance among students in three Southern African countries. Computers and Education, 160, https://doi.org/10.1016/j.compedu.2020.104056

• Journal Article Type: Article
• Acceptance Date: Oct 17, 2021
• Online Publication Date: Oct 23, 2021
• Publication Date: Oct 29, 2021
• Deposit Date: May 13, 2023
• Journal: Computers & Education
• Print ISSN: 0360-1315
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 160
• DOI: https://doi.org/10.1016/j.compedu.2020.104056
• Keywords: Education; General Computer Science