Factors influencing Chinese university EFL Students’ Adoption of Mobile Technology-Integrated Vocabulary Learning Towards SCL: An Empirical Research

Shiqin Huang; Abdul Rahim Bin Hamdan; Abdul Talib bin Mohamed Hashim; Hishamuddin Bin Ahmad

doi:10.54097/97ge3080

Authors

Shiqin Huang
Abdul Rahim Bin Hamdan
Abdul Talib bin Mohamed Hashim
Hishamuddin Bin Ahmad

DOI:

https://doi.org/10.54097/97ge3080

Keywords:

EFL students, mobile technology, vocabulary learning, SCL.

Abstract

The purpose of this study is to investigate the factors influencing Chinese university EFL students' adoption of mobile technology-integrated vocabulary learning towards student-centered learning (SCL). The theoretical framework extends the Unified Theory of Acceptance and Use of Technology (UTAUT2) model to include the additional constructs of privacy, trust, personal innovativeness, and information quality to examine their impact on behavioral intentions ues behavior. This study uses a questionnaire survey method to conduct quantitative research. The sample was 300 EFL students from two universities in Fujian Province, China. Data were analyzed using SPSS (22.0) and AMOS (24.0) software. Structural equation modeling and regression path analysis were used to verify relationships between variables and test hypotheses. The results show that performance expectancy, effort expectancy, social influence, convenience conditions, hedonic motivation, habits, personal innovativeness and information quality have significant positive effects on EFL students' behavioral intention to adopt mobile technology-integrated vocabulary learning towards student-centered learning. Price value and privacy concerns have had significant negative impacts. Hedonic motivation, price value, privacy concerns, and information quality have become important predictors of behavioral intentions among Chinese university EFL students. This study enriches research on the acceptance and use of mobile learning technologies, providing valuable insights and effective suggestions for EFL teachers, vocabulary course designers and mobile technology developers.

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