Examining Factors Determining the Behavioral Intention to Use Mobile Learning Systems in Higher Education: An Integrative Framework during the COVID-19 Pandemic

Autor/inn/en	Shaya, Nessrin; Baroudi, Sandra; Mohebi, Laila
Titel	Examining Factors Determining the Behavioral Intention to Use Mobile Learning Systems in Higher Education: An Integrative Framework during the COVID-19 Pandemic
Quelle	In: Journal of Educators Online, 20 (2023) 1, (17 Seiten)Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
Schlagwörter	COVID-19; Pandemics; Electronic Learning; Adoption (Ideas); Foreign Countries; College Students; Educational Technology; Technology Uses in Education; Intention; Student Behavior; Student Satisfaction; Predictor Variables; Educational Quality; Social Influences; Expectation; United Arab Emirates + Suchen Sie Ihr Suchwort? Ideas; Ideenfindung; Ausland; Collegestudent; Unterrichtsmedien; Technology enhanced learning; Technology aided learning; Technologieunterstütztes Lernen; Student behaviour; Schülerverhalten; Prädiktor; Quality of education; Bildungsqualität; Sozialer Einfluss; Expectancy; Erwartung; Vereinigte Arabische Emirate
Abstract	This paper explores mobile learning (m-learning) acceptance and use through integrating UTAUT and IS success models to examine whether quality factors (including "Information Quality," "System Quality" and "Service Quality") and behavioral factors (including "Performance Expectancy," "Social Influence" and "Facilitating Conditions") predict students' satisfaction and their intention to use m-learning systems. Data were collected through surveys from a total of 383 higher education male and female students in the United Arab Emirates (UAE). Structural equation modelling and path analysis were employed to test the proposed research model, showing that "Information Quality," "System Quality," "Service Quality," "Performance Expectancy," "Social Influence," "Facilitating Conditions," and "Satisfaction" determined students' intentions to use m-learning. "Satisfaction" was the most important antecedent of user behavior with m-learning, and "Performance Expectancy" was found to have the highest effect on "Satisfaction." The study's contribution to the advancement of m-learning acceptance and usage is connected to the theory and practice. (As Provided).
Anmerkungen	Journal of Educators Online. Grand Canyon University, 23300 West Camelback Road, Phoenix, AZ 85017. e-mail: CIRT@gcu.edu. Web site: https://www.thejeo.com
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01