TY - JOUR
T1 - Student intentions to continue with distance learning post-COVID
T2 - An empirical analysis
AU - Steyn, Adriana Aletta
AU - van Slyke, Craig
AU - Dick, Geoffrey
AU - Twinomurinzi, Hossana
AU - Amusa, Lateef Babatunde
N1 - Publisher Copyright:
© 2024 Public Library of Science. All rights reserved.
PY - 2024/1
Y1 - 2024/1
N2 - The aftermath of COVID changed how students learn, mainly moving to a distance learning model. The research reported in this paper investigated the organizational and individual factors that influence the preference for continuing with distance / online learning post-COVID. Partial least squares structural equation modeling was applied to a model developed for this research, based on data from 452 students from residential universities in South Africa. The key results reveal an overall reluctance to continue with distance learning. This is despite the technological and faculty support offered to university students and how distance learning fits their learning styles. This is likely due to student living conditions and their perception of low institutional concern. On the other hand, faculty support has a more substantial impact on continuance, compared with a generally negative perception of support from the universities. The research underscores the importance of addressing student reluctance to continue with distance learning by improving institutional support and tailoring learning styles. The research enhances our understanding of crucial factors influencing students’ preference for distance/online learning post-COVID. It also underscores the pedagogical shifts brought about by the pandemic, particularly highlighting the changing roles of faculty support and the impact on students’ living conditions.
AB - The aftermath of COVID changed how students learn, mainly moving to a distance learning model. The research reported in this paper investigated the organizational and individual factors that influence the preference for continuing with distance / online learning post-COVID. Partial least squares structural equation modeling was applied to a model developed for this research, based on data from 452 students from residential universities in South Africa. The key results reveal an overall reluctance to continue with distance learning. This is despite the technological and faculty support offered to university students and how distance learning fits their learning styles. This is likely due to student living conditions and their perception of low institutional concern. On the other hand, faculty support has a more substantial impact on continuance, compared with a generally negative perception of support from the universities. The research underscores the importance of addressing student reluctance to continue with distance learning by improving institutional support and tailoring learning styles. The research enhances our understanding of crucial factors influencing students’ preference for distance/online learning post-COVID. It also underscores the pedagogical shifts brought about by the pandemic, particularly highlighting the changing roles of faculty support and the impact on students’ living conditions.
UR - http://www.scopus.com/inward/record.url?scp=85182913095&partnerID=8YFLogxK
U2 - 10.1371/journal.pone.0293065
DO - 10.1371/journal.pone.0293065
M3 - Article
C2 - 38232066
AN - SCOPUS:85182913095
SN - 1932-6203
VL - 19
JO - PLoS ONE
JF - PLoS ONE
IS - 1 January
M1 - e0293065
ER -