Proceedings of the 5th International Conference on Internet Technology and Educational Informatization (ITEI 2025)

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Generative AI for English Teaching Material Generation: A Teacher-Centric Perspective on Potentials, Challenges, and Student Outcomes

Authors
Yiran Chen1, *, Hao Yin1
1Universidad de Valladolid, Valladolid, Spain
*Corresponding author. Email: yiran.chen24@estudiantes.uva.es
Corresponding Author
Yiran Chen
Available Online 24 November 2025.
DOI
10.2991/978-2-38476-472-3_14How to use a DOI?
Keywords
Generative AI; English Language Teaching (ELT); Teacher Perspectives; Material Generation; Educational Technology; Mixed- Methods Research
Abstract

The integration of generative AI in English language teaching (ELT) represents a transformative shift in educational practices, offering tools to automate and personalize material creation. This study explores teacher perceptions and empirical impacts of generative AI tools, such as GPT-4, Copilot, and Gemini, in generating teaching materials like reading passages, quizzes, and lesson plans. Motivated by challenges in traditional ELT, including time constraints and lack of customized content, we employ a mixed- methods approach: surveys with 100 English teachers, semi-structured interviews with 10 teachers, and controlled experiments involving 250 students comparing AI-generated versus traditional materials. Key findings reveal significant time savings (mean Likert score 4.17/5) and improved student engagement (+15% in post-tests), but highlight challenges like inaccuracies (3.14/5) and ethical concerns (3.34/5). Contributions include a framework for ethical AI integration in ELT, practical guidelines for teachers, and implications for AI tool design to enhance educational equity. This research bridges gaps in teacher-centric studies, providing data-driven insights for sustainable AI adoption in language education. Detailed analysis of survey data, interview transcripts, and experimental results underscores the need for balanced AI use, with recommendations for future tool development.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 5th International Conference on Internet Technology and Educational Informatization (ITEI 2025)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
24 November 2025
ISBN
978-2-38476-472-3
ISSN
2352-5398
DOI
10.2991/978-2-38476-472-3_14How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Yiran Chen
AU  - Hao Yin
PY  - 2025
DA  - 2025/11/24
TI  - Generative AI for English Teaching Material Generation: A Teacher-Centric Perspective on Potentials, Challenges, and Student Outcomes
BT  - Proceedings of the 5th International Conference on Internet Technology and Educational Informatization (ITEI 2025)
PB  - Atlantis Press
SP  - 140
EP  - 152
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-472-3_14
DO  - 10.2991/978-2-38476-472-3_14
ID  - Chen2025
ER  -