Analyzing Influencing Factors of Undergraduates’ Continuance Intention with Mobile Learning in Chengdu College of Arts and Sciences, China
DOI:
https://doi.org/10.14456/abacodijournal.2024.20Keywords:
mobile learning, system quality, information quality, satisfaction, continuance intention, structural equation modelingAbstract
This paper aims to evaluate the fundamental determinants that significantly impact the sustained intention of mobile learning among undergraduates in four majors of the Chengdu College of Arts and Sciences in Sichuan, China. The conceptual framework contained perceived usefulness, confirmation, service quality, system quality, information quality, satisfaction, and continuance intention. The researchers applied quantitative methods and distributed quantitative questionnaires to 464 undergraduate students majoring in English, Chinese language and Literature, Preschool Education, Broadcasting, and Hosting at Chengdu College of Arts and Sciences. The sampling techniques were conducted using purposive, quota and convenience sampling. Confirmatory Factor Analysis (CFA) is a statistical technique used in the field of quantitative research to assess the validity and reliability of theoretical constructs or latent variables. Structural Equation Modeling (SEM) were used to determine the causal relationships between the variables. All hypotheses were supported. The findings showed that perceived usefulness, confirmation, service quality, system quality, and information quality are antecedents of satisfaction towards continuance intention. For students to acknowledge and recognize the effectiveness of mobile learning, university administrators and teaching staff should pay sufficient attention to the factors which have generated significant influence on the satisfaction of the instruction and consider the correlated teaching adjustment or reform in the future according to the findings of this research.
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