Determinants of Graduate Students' Behavioral Intention to Use Mobile Learning Platforms at Hunan Normal University

Background and Aim: This research examined the factors affecting graduate students' behavioral intentions toward using a mobile learning platform. The study focused on several latent variables, including system quality (SQ), service quality (SVQ), information quality (IQ), perceived usefulness (PU), satisfaction (SA), attitude (ATT), and behavioral intention (BI). The goal of the study was to assess the degree to which each of these variables impacts the utilization of the mobile learning platform. Materials and Methods: This research collected survey responses from 500 graduate students at a public university in Hunan, China, regarding their perspectives on using mobile learning platforms. Structural equation modeling (SEM) and confirmatory factor analysis (CFA) were employed to analyze the data. Results: The data analysis results indicated that all hypothesized paths were statistically significant, demonstrating strong direct relationships between the variables in the model. Information quality, in particular, had the most substantial impact on perceived usefulness. These findings highlight the critical role of these factors in enhancing the effective use of mobile learning platforms in higher education, leading to increased student satisfaction and behavioral intentions. The study's strengths include a large sample size and the application of advanced statistical methods like SEM and CFA, offering a thorough evaluation of the model's validity. However, the study is limited by its focus on a single university, which may not capture the diverse experiences of students at other institutions. Moreover, while the study emphasizes key factors influencing mobile learning, it does not explore potential barriers or challenges students might encounter, such as technological issues or varying levels of digital literacy. Future research could address these aspects to gain a more comprehensive understanding of the effectiveness of mobile learning platforms.