The Effect of Mobile Learning Quality on User Satisfaction: Evidence from Malaysian Research Students

The increasing adoption of mobile learning and artificial intelligence (AI)-enabled technologies has transformed teaching, learning, and research practices in higher education. As research students increasingly rely on mobile learning platforms to support literature searching, academic writing, collaboration, and knowledge development, ensuring the quality of these digital learning environments has become essential. This study examines the effect of mobile learning quality on user satisfaction among Malaysian research students based on the Information Systems Success Model (ISSM). Specifically, the study investigates the influence of system quality, information quality, and service quality on user satisfaction. A quantitative cross-sectional research design was employed, and data were collected through an online questionnaire from 249 research students enrolled in Malaysian higher education institutions. The data were analysed using the Statistical Package for the Social Sciences (SPSS), including descriptive statistics, reliability analysis, Pearson correlation, and multiple regression analysis. The findings revealed that all three dimensions of mobile learning quality significantly and positively influenced user satisfaction. Among the predictors, information quality emerged as the strongest determinant of user satisfaction, followed by service quality and system quality. The regression model explained 61.9% of the variance in user satisfaction, indicating that mobile learning quality plays a substantial role in shaping research students' learning experiences. The findings support the Information Systems Success Model and extend its application to the context of Malaysian research students. The study contributes to the growing literature on mobile learning by providing empirical evidence on the importance of delivering reliable systems, high-quality academic information, and responsive support services within AI-enabled mobile learning environments. The findings also provide practical implications for higher education institutions, educators, system developers, and policymakers seeking to enhance mobile learning quality and improve students' satisfaction in an increasingly digital learning landscape.

Mobile Learning Quality, User Satisfaction, Information Quality, System Quality, Service Quality, Information Systems Success Model, Artificial Intelligence

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