The Benefits of Artificial Intelligence Tools in Modern EFL Reading Learning Enterprises

Authors

  • kristian wijaya cita hati school

Keywords:

Technology, artificial intelligence, EFL reading, library study, thematic analysis

Abstract

Abstract

In this ever-changing world, our educational systems have undergone a dramatic transformation with the widespread adoption of technologically driven learning tools. To that end, artificial intelligence tools have garnered considerable attention from researchers in recent years due to their applicability, feasibility, and relevance to EFL learners’ specific learning needs. The researcher undertook this small-scale library investigation to unravel the benefits of artificial intelligence tools in modern EFL reading learning enterprises. Thus, the researcher capitalized on a thematic analysis approach while analyzing findings of 30 previously-published AI-based reading learning studies. The main reason for incorporating a thematic analysis approach is to generate more robust, believable, and comprehensible results, as the analyzed data was clustered into pertinent themes. From the thematically-categorized findings, artificial intelligence tools are valuable learning assistances to be further implemented in modern EFL reading learning dynamics as they enhance reading competence, strategy development, motivational, and engagement among second language learners.  

Keywords: Technology; artificial intelligence; EFL reading; library study; thematic analysis.

References

References

Akhmad, E., R. Saleh, Y., & Pakaya, S. (2022). Criteria of Good English Textbook for Students: A Senior English Textbook Analysis. ELOQUENCE : Journal of Foreign Language, 1(3), 114–124. https://doi.org/10.58194/eloquence.v1i3.454

Alam, S., Usama, M., Alam, M. M., Jabeen, I., & Ahmad, F. (2023). Artificial Intelligence in Global World: A Case Study of Grammarly as e-Tool on ESL Learners’ Writing of Darul Uloom Nadwa. International Journal of Information and Education Technology, 13(11), 1741–1747. https://doi.org/10.18178/ijiet.2023.13.11.1984

Alarifi, S., Mohammed AlSahli, M., & Musaed Alghizzi, T. (2025). Assessing EFL Undergraduates’ Attitudes, Engagement, and Satisfaction Toward the Use of Artificial Intelligence in Enhancing Reading Comprehension. Arab World English Journal, 1, 112–138. https://doi.org/10.24093/awej/ai.7

Alazemi, A. F. T. (2024). Formative assessment in artificial integrated instruction: delving into the effects on reading comprehension progress, online academic enjoyment, personal best goals, and academic mindfulness. Language Testing in Asia, 14(1). https://doi.org/10.1186/s40468-024-00319-8

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 proficiency. Cogent Education, 12(1). https://doi.org/10.1080/2331186X.2025.2542395

Alkhateeb, A., Hezam, A. M. M., & Almuraikhi, A. A. (2025). Assessing the use of AI tools for EFL exam preparation at Saudi universities: efficiency, benefits, and challenges. Cogent Education, 12(1). https://doi.org/10.1080/2331186X.2025.2507553

Allehyani, B., Almashy, A., Jamshed, M., & Banu, S. (2025). Measuring the Impact of Meta-AI on English Reading Comprehension Score Enhancement: A Study Within Social Media Application. Theory and Practice in Language Studies, 15(2), 615–623. https://doi.org/10.17507/tpls.1502.31

Assiddiq, M. A., & Sasmayunita. (2025). AI-Integrated Hybrid Model on Reading Comprehension among Indonesian EFL Teacher Candidates (Vol. 5). Atlantis Press SARL. https://doi.org/10.2991/978-2-38476-394-8_29

Benek, K. (2025). EFL Learners’ and Teachers’ Perceptions of AI-Powered Language Learning Technologies: Benefits and Challenges. International Journal of Instruction, 18(2), 103–120. https://doi.org/10.29333/iji.2025.1827a

Braun, V., & Clarke, V. (2022). Conceptual and Design Thinking for Thematic Analysisfile:///Users/ksiamisang/Desktop/mark.pdf. Qualitative Psychology, 9(1), 3–26.

Çelik, F., Ersanlı, C. Y., & Arslanbay, G. (2024). Does AI Simplification of Authentic Blog Texts Improve Reading Comprehension, Inferencing, and Anxiety? A One-Shot Intervention in Turkish EFL Context. International Review of Research in Open and Distributed Learning, 25(3 Special Issue), 287–303. https://doi.org/10.19173/irrodl.v25i3.7779

Chea, P., & Xiao, Y. (2024). Artificial Intelligence in Higher Education: The Power and Damage of AI-assisted Tools on Academic English Reading Skills. Journal of General Education and Humanities, 3(3), 287–306. https://doi.org/10.58421/gehu.v3i3.242

Darwin, Rusdin, D., Mukminatien, N., Suryati, N., Laksmi, E. D., & Marzuki. (2024). Critical thinking in the AI era: An exploration of EFL students’ perceptions, benefits, and limitations. Cogent Education, 11(1). https://doi.org/10.1080/2331186X.2023.2290342

Deng, W. (2025). The Impact of AI-Generated Summaries on Reading Comprehension Among College EFL Learners. International Conference on English Language Teaching (I-CELT) 2024 Humanizing Language Education and Teacher Resilience through Innovative Pedagogy, 1(1), 15–19.

Dong, Y., Yu, X., Alharbi, A., & Ahmad, S. (2022). AI-based production and application of English multimode online reading using multi-criteria decision support system. Soft Computing, 26(20), 10927–10937. https://doi.org/10.1007/s00500-022-07209-2

Dugosija, T. (2024). BENEFITS AND CHALLENGES OF ARTIFICIAL INTELLIGENCE IN ENGLISH BENEFITS AND CHALLENGES OF ARTIFICIAL INTELLIGENCE IN ENGLISH Tatjana Du gošija. 62(February), 275–280.

Farrokhnia, M., Banihashem, S. K., Noroozi, O., & Wals, A. (2024). A SWOT analysis of ChatGPT: Implications for educational practice and research. Innovations in Education and Teaching International, 61(3), 460–474. https://doi.org/10.1080/14703297.2023.2195846

Gao, Q., Zhang, Y., Nie, W., Liu, H., Wang, H., & Shi, Y. (2021). It all starts at home: ‘Home reading environment and reading outcomes in rural China.’ Journal of Research in Reading, 44(3), 529–553. https://doi.org/10.1111/1467-9817.12354

Hu, W. C., & Hsu, S. T. (2023). The Future of EFL Reading: How Digital Technology is Changing the Game. ACM International Conference Proceeding Series, March, 339–345. https://doi.org/10.1145/3638584.3638668

Juliani, & Febrina Dafit. (2024). Investigating Teachers’ Roles in Forming EFL Learners’ Self- Confidence: A Lesson Learned for Young Learners. Journal of Language and Literature Studies, 4(1), 124–134. https://doi.org/10.36312/jolls.v4i1.1819

Klassen, A. C., Creswell, J., Plano Clark, V. L., Smith, K. C., & Meissner, H. I. (2012). Best practices in mixed methods for quality of life research. Quality of Life Research, 21(3), 377–380. https://doi.org/10.1007/s11136-012-0122-x

Koraishi, O. (2023). Teaching English in the Age of AI: Embracing ChatGPT to Optimize EFL Materials and Assessment. Language Education & Technology Journal, 3(1), 55–72.

Le, H. Van, Nguyen, T. A. D., Le, D. H. N., Nguyen, P. U., & Nguyen, T. T. A. (2024). Unveiling critical reading strategies and challenges: a mixed-methods study among English major students in a Vietnamese higher education institution. Cogent Education, 11(1). https://doi.org/10.1080/2331186X.2024.2326732

Lestari, S., Usadiati, W., & Misrita. (2021). Bahasa : Jurnal Keilmuan Pendidikan Bahasa dan Sastra Indonesia The Correlation between Student’s Artificial Intelligence and Their English Reading Skills Achievement. Jurnal Keilmuan Pendidikan Bahasa Dan Sastra Indonesia, 3(2), 103–111.

Liman Kaban, A., & Karadeniz, S. (2021). Children’s Reading Comprehension and Motivation on Screen Versus on Paper. SAGE Open, 11(1). https://doi.org/10.1177/2158244020988849

Moybeka, A. M. S., Syariatin, N., Tatipang, D. P., Mushthoza, D. A., Dewi, N. P. J. L., & Tineh, S. (2023). Artificial Intelligence and English Classroom: The Implications of AI Toward EFL Students’ Motivation. Edumaspul: Jurnal Pendidikan, 7(2), 2444–2454. https://doi.org/10.33487/edumaspul.v7i2.6669

Ni, T., Oscar, R., Paiva, A., Marques-Pinto, A., Oliveira, S., & Jiang, R. (2022). in collaboration with reviewer AM-P How does artificial intelligence empower EFL teaching and learning nowadays? A review on artificial intelligence in the EFL context. Ml.

Nowell, L. S., Norris, J. M., White, D. E., & Moules, N. J. (2017). Thematic Analysis: Striving to Meet the Trustworthiness Criteria. International Journal of Qualitative Methods, 16(1), 1–13. https://doi.org/10.1177/1609406917733847

Nugrahawati, A. (2024). Enhancing Reading Comprehension in Higher Education: Exploring the Role of Artificial Intelligence in Teaching Reading. Conference on English Language Teaching, 9–19.

Nyoman, N., Yuliastri, A., Putrayasa, I. B., & Sanjaya, D. B. (2025). Application of the CIRC Model to Elementary School Students ’ Reading Comprehension Skills. 13(2), 251–258.

Ouafaa, B., & Abdelmajid, J. (2025). Using AI to Activate Students ’ Prior Knowledge in Reading Comprehension Activities : Insights from Moroccan Classrooms. 7(2), 82–89.

Pido, N. W. T. (2019). Challenges and opportunities using AI in world education. In ペインクリニック学会治療指針2.

Pido, N. W. T., & Sujitno, F. D. C. (2022). The effect of digital technology on students’ reading Behavior. Journal of English Teaching and Linguistic Issues (JETLI), 1(2). https://doi.org/10.57153/jetli.v1i2.210

Rukiati, E., Wicaksono, J. A., Taufan, G. T., & Suharsono, D. D. (2023). AI on Learning English: Application, Benefit, and Threat. Journal of Language, Communication, and Tourism, 1(2). https://doi.org/10.25047/jlct.v1i2.3967

Shafiee Rad, H. (2025). Reinforcing L2 reading comprehension through artificial intelligence intervention: refining engagement to foster self-regulated learning. Smart Learning Environments, 12(1). https://doi.org/10.1186/s40561-025-00377-2

Singh, S., Jamal, A., & Qureshi, F. (2024). Readability Metrics in Patient Education: Where Do We Innovate? Clinics and Practice, 14(6), 2341–2349. https://doi.org/10.3390/clinpract14060183

Tang, J., & Foley, J. (2022). A Case Study on the Effectiveness of Applying Content and Language Integrated Learning in an Artificial Intelligence English Reading Course. Arab World English Journal, 13(3), 236–253. https://doi.org/10.24093/awej/vol13no3.15

Taufik Hidayat, M. (2024). Effectiveness of AI-Based Personalised Reading Platforms in Enhancing Reading Comprehension. Journal of Learning for Development, 11(1), 115–125.

Thongsan, N. C., & Anderson, N. J. (2025). From Passive Answers to Active Inquiry: How AI Supports Critical Reading in EFL Classrooms. LEARN Journal: Language Education and Acquisition Research Network, 18(2), 795–820. https://doi.org/10.70730/kmkl8505

Toar, D., Sumakul, Y. G., Hamied, A., & Sukyadi, D. (2022). LEARN Journal: Language Education and Acquisition Research Network Artificial Intelligence in EFL Classrooms: Friend or Foe? LEARN Journal: Language Education and Acquisition Research Network, 15(June), 232–256.

Usama, M., Alam, S., Hameed, A., Ahmad, F., & Iliyas, S. (2024). Web-Based Vs. Mixed Mode Instruction Utilizing E-Learning via LMS: A Comparative Study. International Journal of Information and Education Technology, 14(4), 612–619. https://doi.org/10.18178/ijiet.2024.14.4.2084

Vera, F. (2023). Integrating Artificial Intelligence (AI) in the EFL Classroom: Benefits and Challenges. Transformar Electronic Journal, 4(2), 66–77.

Waleed Daweli, T., & Abdulrahman Moqbel Mahoub, R. (2024). Exploring EFL Learners’ Perspectives on Using AI Tools and Their Impacts in Reading Instruction: An Exploratory Study. Arab World English Journal, 10, 160–171. https://doi.org/10.24093/awej/call10.11

Yang, H. (2025). EFL Student Engagement with ChatGPT in College Reading Classes via Prompts and Perceptions. Korean Journal of English Language and Linguistics, 25(May), 686–706. https://doi.org/10.15738/kjell.25..202505.686

Yousefi, M., & Askari, M. I. (2024). Exploring the Effectiveness of Artificial Intelligence ( AI ) on Reading Comprehension among Iranian EFL Learners. 1–13.

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Published

2025-11-30