TY - JOUR
T1 - Managing students’ attitude, learning engagement, and stickiness towards e-learning post-COVID-19 in Australian universities
T2 - a perceived qualities perspective
AU - Yang, Rongbin
AU - Wibowo, Santoso
AU - Mubarak, Sameera
AU - Rahamathulla, Mubarak
PY - 2024
Y1 - 2024
N2 - Studies have been conducted on university students’ acceptance of e-learning systems during COVID-19. However, less attention has been paid to students’ use of e-learning post-pandemic. This research provides a more comprehensive framework to investigate the effects of e-learning students’ various quality perceptions on attitude, learning engagement, and stickiness toward e-learning platforms. A survey-based quantitative method is adopted by this study in which sample data are collected from students in Australian universities. A total of 403 valid samples were analysed using covariance-based structural equation modelling. This study found that students’ perceived educational quality, service quality, information quality, and technical system quality play different roles in their attitudes and behaviours towards e-learning. It expands the information system success model by comparing the effects of students’ various perceived qualities on their ongoing commitment to e-learning. It provides insights to e-learning providers in pursuing better designs and more sustainable development of educational information systems.
AB - Studies have been conducted on university students’ acceptance of e-learning systems during COVID-19. However, less attention has been paid to students’ use of e-learning post-pandemic. This research provides a more comprehensive framework to investigate the effects of e-learning students’ various quality perceptions on attitude, learning engagement, and stickiness toward e-learning platforms. A survey-based quantitative method is adopted by this study in which sample data are collected from students in Australian universities. A total of 403 valid samples were analysed using covariance-based structural equation modelling. This study found that students’ perceived educational quality, service quality, information quality, and technical system quality play different roles in their attitudes and behaviours towards e-learning. It expands the information system success model by comparing the effects of students’ various perceived qualities on their ongoing commitment to e-learning. It provides insights to e-learning providers in pursuing better designs and more sustainable development of educational information systems.
KW - attitude
KW - learning engagement
KW - Management of e-learning systems
KW - perceived quality
KW - university students
KW - user stickiness
UR - http://www.scopus.com/inward/record.url?scp=85158853901&partnerID=8YFLogxK
U2 - 10.1080/08841241.2023.2204466
DO - 10.1080/08841241.2023.2204466
M3 - Article
AN - SCOPUS:85158853901
SN - 0884-1241
VL - 34
SP - 1146
EP - 1177
JO - Journal of Marketing for Higher Education
JF - Journal of Marketing for Higher Education
IS - 2
ER -