Factors Influencing the Behavioral Intention to Use Mobile Learning Platform in Higher Education of Changsha, China
Abstract
Background and Aim: This study explored the factors that influenced student behavioral intention regarding mobile learning platforms. The latent variables investigated in the study include system quality (SQ), service quality (SVQ), information quality (IQ), perceived usefulness (PU), satisfaction (SA), attitude (ATT), and behavioral intention (BI). The objective of the research is to determine the extent to which each variable influences the use of mobile learning platforms.
Materials and Methods: This study surveyed 500 undergraduate students at a public university in Changsha, China, about their views on mobile learning platforms. The data were analyzed using structural equation modeling (SEM) and confirmatory factor analysis (CFA).
Results: The results of the data analysis revealed that each hypothesized path was statistically significant, indicating strong direct relationships between the variables in the model. Notably, information quality exerted the greatest influence on perceived usefulness. The findings underscore the importance of these factors in enhancing the effective use of mobile learning platforms in higher education, boosting student satisfaction and behavioral intentions. This study's strengths include its robust sample size and the use of advanced statistical techniques like SEM and CFA, which provide a rigorous assessment of the model's validity. However, limitations include the study's focus on a single university, which may not fully represent the diverse experiences of students across different institutions. Additionally, while the study highlights critical factors influencing mobile learning, it does not address potential barriers or challenges students might face, such as technological issues or varying levels of digital literacy. Future research could explore these aspects to provide a more comprehensive understanding of mobile learning platforms' effectiveness.
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