AI-powered EFL pedagogy: Integrating generative AI into university teaching preparation through UTAUT and activity theory
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...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-12-01
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| Series: | Computers and Education: Artificial Intelligence |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666920X24001383 |
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| author | Muhammad Zaim Safnil Arsyad Budi Waluyo Havid Ardi Muhd. Al Hafizh Muflihatuz Zakiyah Widya Syafitri Ahmad Nusi Mei Hardiah |
| author_facet | Muhammad Zaim Safnil Arsyad Budi Waluyo Havid Ardi Muhd. Al Hafizh Muflihatuz Zakiyah Widya Syafitri Ahmad Nusi Mei Hardiah |
| author_sort | Muhammad Zaim |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-19e26434e8ac491ea91ed1af41f88558 |
| institution | OA Journals |
| issn | 2666-920X |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Computers and Education: Artificial Intelligence |
| spelling | doaj-art-19e26434e8ac491ea91ed1af41f885582025-08-20T01:58:31ZengElsevierComputers and Education: Artificial Intelligence2666-920X2024-12-01710033510.1016/j.caeai.2024.100335AI-powered EFL pedagogy: Integrating generative AI into university teaching preparation through UTAUT and activity theoryMuhammad Zaim0Safnil Arsyad1Budi Waluyo2Havid Ardi3Muhd. Al Hafizh4Muflihatuz Zakiyah5Widya Syafitri6Ahmad Nusi7Mei Hardiah8Faculty of Languages and Arts, Universitas Negeri Padang, IndonesiaEnglish Education Postgraduate Program of Education Faculty, Bengkulu University, IndonesiaResearch Center for Language Teaching and Learning, School of Languages and General Education, Walailak University, Thailand; Corresponding author.Faculty of Languages and Arts, Universitas Negeri Padang, IndonesiaFaculty of Languages and Arts, Universitas Negeri Padang, IndonesiaLanguage Pedagogy Study Program, Universitas Negeri Padang, IndonesiaLanguage Pedagogy Study Program, Universitas Negeri Padang, IndonesiaLanguage Pedagogy Study Program, Universitas Negeri Padang, IndonesiaEnglish Education Study Program, Bengkulu University, IndonesiaThis 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.http://www.sciencedirect.com/science/article/pii/S2666920X24001383Generative AIEFL pedagogyUTAUTActivity theory |
| spellingShingle | Muhammad Zaim Safnil Arsyad Budi Waluyo Havid Ardi Muhd. Al Hafizh Muflihatuz Zakiyah Widya Syafitri Ahmad Nusi Mei Hardiah AI-powered EFL pedagogy: Integrating generative AI into university teaching preparation through UTAUT and activity theory Computers and Education: Artificial Intelligence Generative AI EFL pedagogy UTAUT Activity theory |
| title | AI-powered EFL pedagogy: Integrating generative AI into university teaching preparation through UTAUT and activity theory |
| title_full | AI-powered EFL pedagogy: Integrating generative AI into university teaching preparation through UTAUT and activity theory |
| title_fullStr | AI-powered EFL pedagogy: Integrating generative AI into university teaching preparation through UTAUT and activity theory |
| title_full_unstemmed | AI-powered EFL pedagogy: Integrating generative AI into university teaching preparation through UTAUT and activity theory |
| title_short | AI-powered EFL pedagogy: Integrating generative AI into university teaching preparation through UTAUT and activity theory |
| title_sort | ai powered efl pedagogy integrating generative ai into university teaching preparation through utaut and activity theory |
| topic | Generative AI EFL pedagogy UTAUT Activity theory |
| url | http://www.sciencedirect.com/science/article/pii/S2666920X24001383 |
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