How Do Undergraduate Students Adopt Online Learning in Chengdu, China During COVID-19?
รหัสดีโอไอ
Creator Yaze Lyu
Title How Do Undergraduate Students Adopt Online Learning in Chengdu, China During COVID-19?
Publisher Assumption University
Publication Year 2566
Journal Title AU-GSB e-Journal
Journal Vol. 16
Journal No. 1
Page no. 172-181
Keyword Online Learning, Technology Acceptance Model, Unified Theory Of Acceptance And Use Of Technology, Behavioral Intention, Use Behavior
URL Website http://www.assumptionjournal.au.edu/index.php/AU-GSB/article/view/7222
Website title AU-GSB e-Journal
ISSN 2775 868x
Abstract Purpose: This study aims to examine the online learning adoption of college students in Chengdu, China. The main variables constructed in a conceptual framework based on the technology acceptance model (TAM) and the unified theory of acceptance and use of technology (UTAUT) are perceived ease of use, perceived usefulness, attitude, social influence, facilitating conditions, behavioral intention, and user behavior. Research design, data, and methodology: The target population is 500 undergraduates. The sample techniques are purposive, stratified random, convenience, and snowball samplings. Before collecting the data, The Item Objective Congruence (IOC) Index and the pilot test (n=50) by Cronbach's Alpha were used to assure content validity and construct validity. The data were analyzed by Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM). Results: The results reveal that perceived ease of use significantly impacts perceived usefulness and behavioral intention. Attitude and facilitating conditions significantly impact behavioral intention. Behavioral intention has a significant impact on user behavior. On the contrary, perceived usefulness and social influence have no significant impact on behavioral intention. Conclusions: To ensure that all students can adopt digital learning successfully, educational institutions and the Chinese government needs to improve accessibility with the highest-performance online learning infrastructure for the country.
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