DETERMINANTS OF STUDENTS’ BEHAVIORAL INTENTION TO USE MOBILE LEARNING DURING COVID-19 IN CHENGDU, CHINA
Keywords:
Mobile Learning, Higher Education, Behavioral Intention, Covid-19, UTAUTAbstract
The purpose of this research is to examine the determinants of undergraduate students’ behavioral intention to use mobile learning (M-learning) during Covid-19 pandemic. The conceptual framework was based on the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT). The sampling techniques used were judgmental sampling, quota sampling, and convenience sampling. The target population and sample size were collected by the questionnaire distribution to 500 respondents who are undergraduate students in the three selected universities in Chengdu, China. Before the data collection, Item- Objective Congruence (IOC) was tested for the content validity and Cronbach's Alpha was performed for an inter-item reliability analysis. After collecting the data, demographic information was summarized by descriptive analysis. Confirmatory Factor Analysis (CFA) was applied to test validity and reliability of measurement model. Lastly, Structural Equation Model (SEM) was accounted to measure structural model and hypothesis testing. As a results, there was a significant relationship between perceived usefulness and attitude toward behavioral intention. Effort expectancy, self-efficacy and facilitating condition significantly impacted behavioral intention. Nevertheless, attitude and social influence had no significant impact on behavioral intention. The recommendations for academic practitioners and school management team were to design user’s friendly function and promote benefits of a system to build positive attitude and behavior intention to use mobile learning.
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