Perceived Usefulness as a Predictor of Second Language Learners' Continuance Intention: Unveiling a Serial Multiple Mediation Model Involving Self-Efficacy and Flow in Language Learning Applications

This research, involving 134 EFL students using mobile language learning apps, aimed to explore the intricate connections among perceived usefulness, self-efficacy, flow experience, and continuance intention. Participants completed assessments for perceived usefulness, self-efficacy, flow experience, and their intention to continue using the apps. Through regression analyses, the study uncovered several indirect paths linking perceived usefulness to the intention of continuing app usage. Specifically, three pathways emerged: Firstly, perceived usefulness directly positively impacted users' desire to persist with language learning apps. Secondly, both self-efficacy and flow independently acted as partial mediators between perceived usefulness and the intention to use these apps. Thirdly, self-efficacy and flow sequentially mediated the link between perceived usefulness and the continued intention to use language learning apps. These findings not only confirm the connection between perceived usefulness and sustained app usage but also highlight the crucial roles of self-efficacy and flow in mediating this relationship. They significantly contribute to expanding the Technology Acceptance Model's relevance within the domain of language learning apps. These insights provide valuable guidance for app designers, emphasizing the importance of encouraging learners to utilize social functions within apps to enrich their engagement in interactive language learning experiences.