TR
EN
Implications of AutoGPT on Feedback in English Language Pedagogy: A Qualitative Inquiry into Teachers' Perspectives
Abstract
Technological advancements in education offer innovative tools that significantly impact the teaching and learning processes. Among these innovations, artificial intelligence (AI)-supported tools such as AutoGPT promise revolutionary changes in the field of English Language Teaching (ELT). This study aims to investigate the integration of AutoGPT into feedback processes in ELT at a private school in Konya. The research seeks to explore the effects of AutoGPT on feedback mechanisms in ELT and to examine teachers’ perceptions and experiences regarding the use of this AI tool. Conducted from a basic qualitative research design, this study involved semi-structured interviews with English teachers who had at least two years of teaching experience and had used AutoGPT for feedback purposes. The interviews aim to uncover teachers' views on the effectiveness of AutoGPT and the challenges encountered. The data were analyzed using thematic analysis with MAXQDA 24 software, identifying key themes related to the advantages, limitations, and practical applications of AutoGPT in ELT. The findings reveal that teachers consider AutoGPT a valuable tool for providing quick and comprehensive feedback on student writing. It was highlighted that AutoGPT effectively addresses students' difficulties in understanding concepts, alleviates teachers' workload, and offers objective evaluations to save time. However, concerns about the excessive use of technology potentially reducing students' sense of responsibility were also expressed. This study indicates that experienced teachers are necessary for the effective use of AutoGPT in ELT, and in this context, the development of comprehensive AI training programs for teachers is proposed.
Keywords
References
- Anderson, T. (2016). Effective feedback strategies in the online learning environment. The American Journal of Distance Education, 30(2), 103-117. https://doi.org/10.1080/08923647.2016.1153290
- Ayan, A. D., & Erdemir, N. (2023). EFL teachers' perceptions of automated written corrective feedback and Grammarly. Ahmet Keleşoğlu Eğitim Fakültesi Dergisi (AKEF), 5(3), 1183-1198. https://doi.org/10.38151/akef.2023.106
- Ayaz, B., Ramazanoğlu, M., & Uluyol, Ç. (2023). Identification of the impact of differentiated digitally supported learning environments. Ahmet Keleşoğlu Eğitim Fakültesi Dergisi (AKEF), 5(3), 853-867. https://doi.org/10.38151/akef.2023.88
- Bitchener, J., & Ferris, D. (2012). Automatic feedback for language learners: What teachers need to know. TESOL Quarterly, 46(4), 830-849. https://doi.org/10.1002/tesq.46
- Bolibekova, M. M. (2023). Use of modern pedagogical technologies in teaching English. International Journal of Literature and Languages, 3(5), 147-150. https://doi.org/10.37547/ijll/Volume03Issue05-29
- Brown, J. (2018). Artificial intelligence in language assessment: Implications for English language teaching and research. Language Assessment Quarterly, 15(4), 401-421. https://doi.org/10.1080/15434303.2018.1509010
- Brown, M., Smith, J., & Jones, L. (2020). The impact of AI on modern education. Journal of Educational Technology, 15(3), 235-250. https://doi.org/10.1016/j.jedt.2020.03.004
- Bruguera, C., Guitert, M., & Romeu, T. (2022). Social media in the learning ecologies of communications students: Identifying profiles from students’ perspective. Education and Information Technologies, 27(9), 13113–13129. https://doi.org/10.1007/s10639-022-11021-3
Details
Primary Language
English
Subjects
Instructional Technologies, Teacher Education and Professional Development of Educators
Journal Section
Research Article
Early Pub Date
September 29, 2024
Publication Date
September 30, 2024
Submission Date
April 2, 2024
Acceptance Date
August 21, 2024
Published in Issue
Year 2024 Volume: 6 Number: 2
APA
Demirbek, E., & Ekizer, F. N. (2024). Implications of AutoGPT on Feedback in English Language Pedagogy: A Qualitative Inquiry into Teachers’ Perspectives. Ahmet Keleşoğlu Eğitim Fakültesi Dergisi, 6(2), 212-229. https://doi.org/10.38151/akef.2024.139
AMA
1.Demirbek E, Ekizer FN. Implications of AutoGPT on Feedback in English Language Pedagogy: A Qualitative Inquiry into Teachers’ Perspectives. JAKEF. 2024;6(2):212-229. doi:10.38151/akef.2024.139
Chicago
Demirbek, Erdem, and Feyza Nur Ekizer. 2024. “Implications of AutoGPT on Feedback in English Language Pedagogy: A Qualitative Inquiry into Teachers’ Perspectives”. Ahmet Keleşoğlu Eğitim Fakültesi Dergisi 6 (2): 212-29. https://doi.org/10.38151/akef.2024.139.
EndNote
Demirbek E, Ekizer FN (September 1, 2024) Implications of AutoGPT on Feedback in English Language Pedagogy: A Qualitative Inquiry into Teachers’ Perspectives. Ahmet Keleşoğlu Eğitim Fakültesi Dergisi 6 2 212–229.
IEEE
[1]E. Demirbek and F. N. Ekizer, “Implications of AutoGPT on Feedback in English Language Pedagogy: A Qualitative Inquiry into Teachers’ Perspectives”, JAKEF, vol. 6, no. 2, pp. 212–229, Sept. 2024, doi: 10.38151/akef.2024.139.
ISNAD
Demirbek, Erdem - Ekizer, Feyza Nur. “Implications of AutoGPT on Feedback in English Language Pedagogy: A Qualitative Inquiry into Teachers’ Perspectives”. Ahmet Keleşoğlu Eğitim Fakültesi Dergisi 6/2 (September 1, 2024): 212-229. https://doi.org/10.38151/akef.2024.139.
JAMA
1.Demirbek E, Ekizer FN. Implications of AutoGPT on Feedback in English Language Pedagogy: A Qualitative Inquiry into Teachers’ Perspectives. JAKEF. 2024;6:212–229.
MLA
Demirbek, Erdem, and Feyza Nur Ekizer. “Implications of AutoGPT on Feedback in English Language Pedagogy: A Qualitative Inquiry into Teachers’ Perspectives”. Ahmet Keleşoğlu Eğitim Fakültesi Dergisi, vol. 6, no. 2, Sept. 2024, pp. 212-29, doi:10.38151/akef.2024.139.
Vancouver
1.Erdem Demirbek, Feyza Nur Ekizer. Implications of AutoGPT on Feedback in English Language Pedagogy: A Qualitative Inquiry into Teachers’ Perspectives. JAKEF. 2024 Sep. 1;6(2):212-29. doi:10.38151/akef.2024.139