Empirical Evidence on the Use of ChatGPT in Developing EFL Students’ Reading Comprehension: A Systematic Review
DOI:
https://doi.org/10.29407/jetar.v11i1.28305Keywords:
artificial intelligence; ChatGPT, EFL reading, empirical evidence, systematic reviewAbstract
This study presents a systematic review of recent empirical research on the use of ChatGPT in developing EFL students’ reading comprehension. The increasing integration of AI tools in language education has raised the need to synthesize evidence regarding their pedagogical effects, particularly in reading instruction. Despite growing scholarly interest in AI-assisted language learning, synthesized evidence specifically addressing ChatGPT’s role in EFL reading development remains limited. Accordingly, this review aims to (1) identify the empirical evidence on ChatGPT use for EFL reading comprehension and (2) explore the reported effects of ChatGPT on EFL students’ reading comprehension. Using a PRISMA-guided selection process, 12 empirical studies published between 2024 and 2025 were included based on established inclusion criteria. The findings indicate that the available evidence is dominated by experimental and quasi-experimental designs, supported by surveys, interviews, and benchmarking studies. Across the reviewed articles, ChatGPT use is consistently associated with improvements in reading comprehension, as well as gains in reading proficiency and competency, main-idea comprehension, inferencing, critical reading and contextual understanding. The review also highlights the role of ChatGPT in facilitating reading comprehension through instructional support such as text simplification and summarization. Despite these findings, the review is limited by the small number of included studies, the limited methodological diversity, and variations in contextual settings and outcome measures. Future research is recommended to apply standardized reading assessments, longer interventions, and broader participant populations to strengthen generalizable evidence for EFL reading pedagogy.
Downloads
References
Abdelhalim, S. M. &Alsehibany, R. A. (2025). Integrating ChatGPT for vocabulary learning and reading enhancement: A case study of Saudi EFL learners. Language Learning & Technology, v29 n1 2025
https://doi.org/10.64152/10125/73635
Ahmed, K., Akhter, S., Siwok, S. R., Tambi, F., Khan, A. A., & Talib, N. A. (2025). Role of ChatGPT in Enhancing English Language Learning: a case study of University Students.Forum for Linguistic Studies, 7(7), 460–469.https://doi.org/10.30564/fls.v7i7.9165
Alfaleh, M., Albasis, H. H., & Mohamed, A. M. (2025). EFL learners’ motivation and engagement with oral reading activities and AI tools: exploring the effect of gender, study level and English language.Cogent Education, 12(1)https://doi.org/10.1080/2331186X.2025.2542395
Ali, M. M., Alaa, A. M., Alharbi, W., &AlQurashiI. (2025). Investigating the Impact of ChatGPT on Reading Proficiency in EFL Context. (2025). International Journal of Technology in Education, 8(4), 1222-1244.
https://doi.org/10.46328/ijte.1203
Balcı, Ö. (2024). The role of ChatGPT in English as a foreign language (EFL) learning and teaching: A systematic review. International Journal of Current Educational Studies, 3(1), 66–82.
https://doi.org/10.46328/ijces.107
Campbell, R. (2025). Reading strategies in practice. Constellation. University of Arizona Global Campus.
Danesi, M. (2024). AI in foreign language learning and teaching: A new era of discovery. Nova Science Publishers.
Davaribina, M., Siahpoosh, H., & Maleki, M. (2025). Exploring ChatGPT’s Role in Boosting Enhancing English as a Foreign Language (EFL) Reading Skills: A Gender and age Analysis.
Erkinovna, F. G. (2025). The Transformative Role of Artificial Intelligence in English Language Teaching. Vol 4(5).
https://www.ijmrd.in/index.php/imjrd
Fadillah, E. N., Saridah, S., Kamilasari, M., Nur’aida, A., a Hafizudin, â Hafizudin, Kamilia, A., &Sulaeman, D. (2025). Enhancing Prior Knowledge Development in English Language Education through Chat GPT-Assisted Learning. JOLLT Journal of Languages and Language Teaching, 13(1), 390–401. https://doi.org/10.33394/jollt.v13i1.13356
Kim, R. (2024). Effects of ChatGPT on Korean EFL Learners’ Main-Idea Reading Comprehension via Top-Down Processing. Language Research. 60(1):83-106
https://doi.org/10.30961/lr.2024.60.1.83
Lo, C. K., Yu, P. L. H., Xu, S., Ng, D. T. K., & Jong, M. S.-y. (2024). Exploring the application of ChatGPT in ESL/EFL education and related research issues: A systematic review of empirical studies. Smart Learning Environments, 11, 50. https://doi.org/10.1186/s40561-024-00342-5
Niemi, H., Pea, R. D., & Lu, Y. (2023). AI in learning: Designing the future. Springer
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., … Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71.
https://doi.org/10.1136/bmj.n71
Punkasirikul, P. (2024). English reading comprehension. Khon Kaen University, Faculty of Humanities and Social Sciences.
Syafruddin, Hidayati, S., &Triastuti, A. (2025). A systematic literature review: The trends and challenges of AI (ChatGPT) for reading skills in ELT/L using the HHH framework. Indonesian Journal of Integrated English Language Teaching (IJIELT), 11(1), 32–44.
http://dx.doi.org/10.24014/ijielt.v11i1.36613
Thongsana, N. C., & Anderson, N. J. (2025). From Passive Answers to Active Inquiry: How AI Supports Critical Reading in EFL Classrooms. https://doi.org/10.70730/KMKL8505
Winter, J. C. F. de. (2024). Can ChatGPT Pass High School Exams on English Language Comprehension? https://doi.org/10.1007/s40593-023-00372-z
Yousefi, M. & Laskar, M. E. (2024). Exploring the Effectiveness of Artificial Intelligence (AI) on Reading.
http://doi.org/10.71328/204.20406221/23351
Zawacki-Richter, O., Kerres, M., Bedenlier, S., Bond, M., & Buntins, K. (2023). Systematic review in educational research: Methodology, perspectives and application. Springer VS.
https://doi.org/10.1007/978-3-658-27602-1
Çelik, F., YangınErsanlı, C., &Arslanbay, G. (2024). Does AI Simplification of Authentic Blog Texts Improve Reading Comprehension, Inferencing, and Anxiety? A One-Shot Intervention in Turkish EFL Context. The International Review of Research in Open and Distributed Learning, 25(3), 287–303. https://doi.org/10.19173/irrodl.v25i3.7779
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Erwin Kainta, Rahmatul Firdausa Umarella

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Copyright on any article is retained by the author(s).
- The author grants the journal, the right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work’s authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal’s published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
- The article and any associated published material is distributed under the Creative Commons Attribution-ShareAlike 4.0 International License

Article template