The Influence of Expectation Confirmation on College Students’ Satisfaction and Continued Use of M-Learning App in Private Collage in China
Authors: Wu Qinghao , Yusof Norhayati Mohd 
Published: February 2025

Summary: This study examines the determinants influencing private college students’ intents to persist in utilising mobile learning applications, particularly the Superstar Learning App in China. Based on the Expectation-Confirmation Model, the study utilises a survey methodology to analyse user behaviour. The results indicate that expectation confirmation substantially improves students’ pleasure and perceived utility. Moreover, both contentment and perceived utility are demonstrated to positively affect the intention to continue utilising the application. These observations present practical implications for the design and optimisation of mobile learning platforms, offering techniques to enhance sustained engagement among college students.

Purpose: The objective of this study is to investigate the factors affecting private college students’ intents to persist in using mobile learning applications, particularly the Superstar Learning App, in China. This research, grounded in the Expectation-Confirmation Model, empirically investigates the relationships among expectation confirmation, perceived usefulness, satisfaction, and intentions for continued usage. The research aims to provide theoretical and practical contributions by delivering insights to improve user happiness and foster ongoing engagement with mobile learning platforms.

Method: This study employs a questionnaire-based survey approach, utilising the Superstar Learning App as a case study, and collects data via an online survey administered to students at a private college in Liaoning Province, China. The questionnaire includes essential elements such as students’ expectations, actual usage experiences, perceived usefulness, satisfaction, and their intention to persist in using the mobile learning application. The gathered data are examined with SPSS software for reliability, validity, and regression analysis to evaluate the submitted research hypotheses.

Results: The reliability study verifies that the research scale and variables demonstrate good dependability and robust stability. Validity testing demonstrates the data’s appropriateness for factor analysis, evidenced by elevated KMO values for all variables. The results of the regression analysis indicate that expectation confirmation has a large and favourable impact on both perceived usefulness and satisfaction. Furthermore, perceived utility and enjoyment significantly positively impact the desire to persist in using the application. All proposed hypotheses have been satisfactorily validated.

Conclusion: : This study delineates the pivotal aspects affecting college students’ intentions to persist in utilising the Superstar Learning App, based on empirical research rooted in the Expectation-Confirmation Model. The results emphasise that enhancing students’ expectation confirmation, perceived utility, and happiness is crucial for promoting ongoing engagement with mobile learning applications. It is advised that developers of mobile learning applications focus on comprehending customer requirements, refining product design, and improving the overall user experience to facilitate the wider acceptance and progression of mobile learning technologies.