دورية أكاديمية

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

التفاصيل البيبلوغرافية
العنوان: Examining Factors Determining the Behavioral Intention to Use Mobile Learning Systems in Higher Education: An Integrative Framework during the COVID-19 Pandemic
اللغة: English
المؤلفون: Shaya, Nessrin, Baroudi, Sandra, Mohebi, Laila
المصدر: Journal of Educators Online. Jan 2023 20(1).
الإتاحة: 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
Peer Reviewed: Y
Page Count: 17
تاريخ النشر: 2023
نوع الوثيقة: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: 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
مصطلحات جغرافية: United Arab Emirates
تدمد: 1547-500X
مستخلص: 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.
Abstractor: As Provided
Entry Date: 2023
رقم الأكسشن: EJ1383925
قاعدة البيانات: ERIC