What Drives Students' Successful Reuse of Online Learning in Higher Education? A Case of Google Classroom

Autor/inn/en	Hussein, Mahmood H.; Ow, Siew Hock; Al-Azawei, Ahmed; Ibrahim, Ishaq
Titel	What Drives Students' Successful Reuse of Online Learning in Higher Education? A Case of Google Classroom
Quelle	In: Australasian Journal of Educational Technology, 38 (2022) 3, S.1-21 (21 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1449-3098
Schlagwörter	Educational Technology; Learning Management Systems; Intention; Student Characteristics; Student Attitudes; Value Judgment; Usability; Student Satisfaction; Difficulty Level; Cognitive Processes; Undergraduate Students; Foreign Countries; Iraq + Suchen Sie Ihr Suchwort? Unterrichtsmedien; Schülerverhalten; Werturteil; Schwierigkeitsgrad; Cognitive process; Kognitiver Prozess; Ausland; Irak
Abstract	This study aims at proposing an integrated model based on the technology acceptance model, the information system success model, cognitive load theory, and personal characteristics to predict students' continued intention to reuse Google Classroom in the context of a developing country. To achieve this, we conducted quantitative research, empirically identifying the factors that could affect the continued intention of higher education students to reuse Google Classroom. Overall, 233 higher education students voluntarily participated in this research. Structural equation modelling was adopted as the method of analysis. The results showed that cognitive load significantly influenced perceived ease of use, whereas it had no impact on perceived usefulness or satisfaction. Furthermore, all personal characteristics significantly affected perceived ease of use. The outcomes likewise revealed that perceived usefulness, perceived ease of use, and satisfaction had a significant and positive effect on students' continued intention to reuse Google Classroom. However, to enhance the generalisability of the findings, further research with a larger research sample is required. In addition, the predictability power of the proposed model could be improved by considering the role of other factors, such as engagement and learning effectiveness. (As Provided).
Anmerkungen	Australasian Society for Computers in Learning in Tertiary Education. Ascilite Secretariat, P.O. Box 44, Figtree, NSW, Australia. Tel: +61-8-9367-1133; e-mail: info@ascilite.org.au; Web site: https://ajet.org.au/index.php/AJET
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01