Understanding factors influencing EFL students`technology-based self-directed learning

Based on the theories of self-directed learning, technology acceptance model insert ignore into journalissuearticles values(TAM); and the theory of planned behavior insert ignore into journalissuearticles values(TPB);, this study constructed a model of predictors of English as a Foreign Language insert ignore into journalissuearticles values(EFL); students’ technology-based self-directed learning. Through a questionnaire survey of 386 EFL students from a Chinese university and structural equation model analysis, this study intended to identify the factors that influence the students’ use of technology for language learning and the relationship between these factors. The results revealed that attitude towards technology use, perceived usefulness and technological facilitating conditions are the dominant predictors of technology-based self-directed learning, whereas technological complexity had no direct impact on technology-based self-directed learning, but played an intermediary role through attitude towards technology use. Subjective norms had less predicative power on technology-based self-directed learning. The findings suggest improving students’ perception of the usefulness of technology in learning, enhancing students’ attitude towards technology use and constructing convenient technological facilitating conditions