MDOI Convergence Chronicles 110.1053/CON.2026.01024
110.1053/CON.2026.01024
Article

AI-powered EFL pedagogy: Integrating generative AI into university teaching preparation through UTAUT and activity theory

Muhammad Zaim, Safnil Arsyad, Budi Waluyo, Havid Ardi, Muhd. Al Hafizh, Muflihatuz Zakiyah, Widya Syafitri, Ahmad Nusi, Mei Hardiah 2024 Convergence Chronicles

Abstract

This study explores the integration of generative AI into English as a Foreign Language (EFL) teaching preparation within Indonesian higher education, addressing the growing need to understand how emerging technologies can enhance pedagogical practices in a rapidly evolving educational landscape. By employing the Unified Theory of Acceptance and Use of Technology (UTAUT) and Activity Theory, the research provides a robust analytical framework to examine the factors influencing lecturers' adoption of generative AI. The study is particularly relevant as generative AI offers significant potential to improve teaching efficiency and content personalization, yet its adoption presents challenges in aligning outputs with educational standards and maintaining meaningful teacher-student interaction. Using a mixed-methods approach, the research combined quantitative data from structured questionnaires with qualitative insights from reflective compositions, where lecturers critically evaluated their experiences with generative AI. Structural Equation Modeling (SEM) revealed that performance expectancy and social influence significantly and positively influenced behavioral intention, while effort expectancy had no significant effect. Facilitating conditions, unexpectedly, negatively impacted behavioral intention, likely due to satisfaction with existing resources reducing the perceived necessity for new tools. A strong positive correlation between behavioral intention and actual use behavior demonstrated the critical role of intention in driving adoption. Thematic analysis provided further depth by emphasizing both the benefits and challenges of generative AI, accentuating the importance of balancing its use with human instruction to ensure quality teaching and interaction. The study stresses the need for the strategic integration of generative AI, offering practical and theoretical insights into its adoption and implications for advancing EFL teaching in higher education.

Identifier Metadata

Identifier 110.1053/CON.2026.01024
Canonical mdoi:110.1053/CON.2026.01024
Resolver URL https://mdoi.org/110.1053/CON.2026.01024
Resource URL Open resource
Document URL Open document
Content Type Article
Authors Muhammad Zaim, Safnil Arsyad, Budi Waluyo, Havid Ardi, Muhd. Al Hafizh, Muflihatuz Zakiyah, Widya Syafitri, Ahmad Nusi, Mei Hardiah
Year 2024
Depositor Convergence Chronicles Organisation
Prefix 110.1053
Registered Aug. 11, 2026
Updated Aug. 12, 2026
Status Active
Visibility Public

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