Between Innovation and Tradition: The Impact of AI on Literature Education

Authors

Keywords:

AI interpretation, AI in teaching literature, AI in education, AI ethics, student critical interpretation

Abstract

The integration of AI is a central consideration in English-medium instruction. This research investigates the improvement of integrating AI in the literary study field. The study utilizes a qualitative research method that examines 30 postgraduate students and reflects on their experiences using AI tools in learning literature. The data of this study was gathered through interviews with 30 students who specialized in English literature, and the aim was to investigate the influence of using AI on their understanding of literature. The results of this study indicate that AI helps improve students' analysis of literary texts and presents innovative strategies to engage with them, and that allows students to maintain genuine literary interpretation. Notwithstanding, the study brings to light ethical concerns like academic integrity and the challenge of extensively relying on AI interpretation. The study concludes that AI can be a valuable resource for active interaction with literature while keeping a critical awareness of its challenging implementation.

Author Biographies

Hamza Daghamin, The English and Foreign Languages University

Hamza Daghamin earned his Bachelor's degree in English Language and Literature from Hebron University and his Master's degree in English Literature from the English and Foreign Languages University (EFLU) in India. His research interests include Post-colonialism, Palestinian Literature, Ecocriticism, Psychology, Feminism, Postmemory, and Literary Criticism.

Naeem Daghmin, The English and Foreign Languages University

Naeem Daghmin earned his Bachelor's degree in English Language and Literature from Hebron University, Palestine. He is currently completing his Master's degree in English Literature at the English and Foreign Languages University in India. His research interests include Memory Studies, Contemporary Palestinian Literature, Arab-American Writings, Exile and Diaspora Studies, Gender Studies, Identity and Memory Studies, Cultural Studies, and Post-Traumatic Studies.

References

Abdulrahman, M. M. H. (2024). Short stories and AI tools: An exploratory study. Theory and Practice in Language Studies, 14(7). Pp. 2053-2054. DOI https://doi.org/10.17507/tpls.1407.12

AbuHamda, E., Ismail, I. A., Bsharat, T. (2021). Understanding quantitative and qualitative research methods: A theoretical perspective for young researchers. International Journal of Research 8(2). Pp. 71-87. DOI 10.2501/ijmr-201-5-070

Akgun, S., & Greenhow, C. (2021b). AI in education: Addressing ethical challenges in K-12 settings. AI And Ethics, 2(3), 431–440. DOI https://doi.org/10.1007/s43681-021-00096-7

Baugerud, G.A., Johnson, M.S. (2017). The NICHD Protocol: Guide to Follow Recommended Investigative Interview Practices at the Barnahus?. In: Johansson, S., Stefansen, K., Bakketeig, E., Kaldal, A. (eds) Collaborating Against Child Abuse. Palgrave Macmillan, Cham. DOI https://doi.org/10.1007/978-3-319-58388-4_6

Biagini, G. (2025). Towards an AI-Literate Future: A systematic literature review exploring education, ethics, and applications. International Journal of AI in Education. https://doi.org/10.1007/s40593-025-00466-w

Cents-Boonstra, M., Lichtwarck-Aschoff, A., Denessen, E., Aelterman, N., & Haerens, L. (2020). Fostering student engagement with motivating teaching: an observation study of teacher and student behaviours. Research Papers in Education, 36(6). Pp. 754–779. DOI https://doi.org/10.1080/02671522.2020.1767184

Grájeda, A., Burgos, J., Córdova, P., & Sanjinés, A. (2023). Assessing student-perceived impact of using AI tools: Construction of a synthetic index of application in higher education. Cogent Education, 11(1). https://doi.org/10.1080/2331186X.2023.2287917

Hossain, K. I. (2024). Literature-Based Language Learning: Challenges, and opportunities for English learners. Ampersand, 100201. https://doi.org/10.1016/j.amper.2024.100201

Ismail, I. A. & Aloshi, J. M. (2025). Data Privacy in AI-Driven Education: An In-Depth Exploration Into the Data Privacy Concerns and Potential Solutions. In K. Keeley (Ed.), AI Applications and Strategies in Teacher Education (pp. 223-252). IGI Global Scientific Publishing. DOI https://doi.org/10.4018/979-8-3693-5443-8.ch008

Ismail, I. A. (2025). Protecting Privacy in AI-Enhanced Education: A Comprehensive Examination of Data Privacy Concerns and Solutions in AI-Based Learning. In A. Mutawa (Ed.), Impacts of Generative AI on the Future of Research and Education (pp. 117-142). IGI Global Scientific Publishing. DOI https://doi.org/10.4018/979-8-3693-0884-4.ch006

Jebaselvi, C. A. E., Mohanraj, K., & Anitha, T. (2024). The rise of AI in English language and literature. Shanlax International Journal of English, 12(2), 53. DOI 10.34293/english.v12i2.7216

Kabudi, T., Pappas, I., & Olsen, D. H. (2021). AI-enabled adaptive learning systems: A systematic mapping of the literature. Computers and Education Artificial Intelligence, 2, 100017. DOI https://doi.org/10.1016/j.caeai.2021.100017

Landøy, A., Popa, D., Repanovici, A. (2020). Teaching Learning Methods. In: Collaboration in Designing a Pedagogical Approach in Information Literacy. Springer Texts in Education. Springer, Cham. DOI https://doi.org/10.1007/978-3-030-34258-6_10,

Lengyel, G. (1975). The Role of Literature in Teaching English as A Foreign Language. Angol Filológiai Tanulmányok / Hungarian Studies in English, 9, 59–70. DOI http://www.jstor.org/stable/41273703

Li, J., & Xue, E. (2023). Dynamic Interaction between Student Learning Behaviour and Learning Environment: Meta-Analysis of Student Engagement and Its Influencing Factors. Behavioral Sciences, 13(1), 59. DOI https://doi.org/10.3390/bs13010059

Mebert, L., Barnes, R., Dalley, J., Gawarecki, L., Ghazi-Nezami, F., Shafer, G., … Yezbick, E. (2020). Fostering student engagement through a real-world, collaborative project across disciplines and institutions. Higher Education Pedagogies, 5(1), 30–51. DOI https://doi.org/10.1080/23752696.2020.1750306

Mohebbi, A. (2024). Enabling learner independence and self-regulation in language education using AI tools: a systematic review. Cogent Education, 12(1). DOI https://doi.org/10.1080/2331186X.2024.2433814

Naeem, M., Ozuem, W., Howell, K., & Ranfagni, S. (2023). A Step-by-Step process of thematic analysis to develop a conceptual model in qualitative research. International Journal of Qualitative Methods, 22. DOI https://doi.org/10.1177/16094069231205789

Selvi, V. T., & Ramya, P. (2024). Application of AI in literature: A study on evolution of stories and novels. Recent Research Reviews Journal, 3(2), 347. DOI 10.36548/rrrj.2024.2.003

Supriyono, N., Wibawa, A. P., Suyono, N., & Kurniawan, F. (2024). Advancements in natural Language Processing: Implications, challenges, and future directions. Telematics and Informatics Reports, 16, 100173. DOI https://doi.org/10.1016/j.teler.2024.100173

Thompson, R. F. (1973). Teaching literary devices and the reading of literature. The Journal of Reading, 17(2). DOI https://eric.ed.gov/?id=EJ085879

Zhao, D. (2024). The impact of AI-enhanced natural language processing tools on writing proficiency: an analysis of language precision, content summarization, and creative writing facilitation. Education and Information Technologies. DOI https://doi.org/10.1007/s10639-024-13145-5.

Downloads

Published

2025-03-25

How to Cite

Daghamin, H., & Daghmin, N. (2025). Between Innovation and Tradition: The Impact of AI on Literature Education. Dibon Journal of Education, 1(1), 42–55. Retrieved from https://dibonjournals.com/index.php/dje/article/view/11

Issue

Vol. 1 No. 1 (2025): Transforming Educational Framework

Section

Articles

License

Copyright (c) 2025 Hamza Daghamin, Naeem Daghmin

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.