Factors Determining the Continuance Intention to Use Mobile English Learning Applications: An Application and Extension of Expectation Confirmation Model in the Mobile‐Assisted Language Learning Context

ABSTRACT Despite the rapid growth of integrating language learning applications into educational settings, limited studies have reported students' continuance intention to use mobile English learning applications in the mobile‐assisted language learning (MALL) context. This study extended the expectation confirmation model (ECM) with mobile self‐efficacy and perceived enjoyment. Data were collected from 251 university students through an online questionnaire and analysed using SPSS and AMOS. The findings revealed that: (1) satisfaction, perceived usefulness, and mobile self‐efficacy significantly affected students' continuance intention, with satisfaction acting as the key influencing factor; (2) mobile self‐efficacy had a positive influence on perceived enjoyment; (3) perceived enjoyment did not significantly influence perceived usefulness and failed to predict students' continuance intention. The findings of this study provide practical insights for educators and application developers to improve teaching effectiveness and user experience in educational settings.