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Abstract

This study examined the integration of ChatGPT into critical reading instruction and its association with students’ analytical thinking in an EFL higher education context. The study was motivated by the limited empirical evidence on how ChatGPT supports critical reading skills, particularly in identifying arguments, evaluating evidence, making inferences, comparing perspectives, and constructing analytical responses. A quantitative approach with a pre-experimental one-group pretest-posttest design was employed. The study was conducted at Universitas Muhammadiyah Parepare and involved 10 fourth-semester students of the English Education Study Program enrolled in a Critical Reading course. Data were collected through analytical thinking tests administered before and after the intervention, using a critical reading rubric covering argument identification, fact-opinion distinction, evidence evaluation, inference, perspective comparison, idea connection, and evidence-based response construction. The data were analyzed using descriptive statistics, Shapiro-Wilk normality test, paired sample t-test, normalized gain, and Cohen’s d. The findings showed that the mean score increased from 58.50 in the pretest to 74.50 in the posttest, with a mean gain of 16.00. The normalized gain was 0.39, indicating moderate improvement. The paired sample t-test revealed a significant difference, t(9) = 13.74, p < 0.001, and Cohen’s d = 4.35 indicated a very large effect size. The results indicated that ChatGPT integration was associated with improved students’ analytical thinking in critical reading.

Keywords

AI-Assisted Language Learning Analytical Thinking ChatGPT Critical Reading EFL Learning

Article Details

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How to Cite
Sahabuddin, I., Rasyid, A., & Sianna. (2026). Integrating ChatGPT into EFL Critical Reading: Effects on Students’ Analytical Thinking. FOSTER: Journal of English Language Teaching, 7(3), 205-220. https://doi.org/10.24256/foster-jelt.v7i3.456
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References

  1. Akinsemolu, A. A., & Onyeaka, H. (2025). The Role of Artificial Intelligence in Transforming Language Learning: Opportunities and Ethical Considerations. Journal of Language and Education, 11(1), 148–152. https://doi.org/10.17323/jle.2025.22118
  2. Alkhudiry, R. (2022). The Contribution of Vygotsky’s Sociocultural Theory in Mediating L2 Knowledge Co-Construction. Theory and Practice in Language Studies, 12(10), 2117–2123. https://doi.org/10.17507/tpls.1210.19
  3. Bolat, H. (2023). Examining the Learning Outcomes Included in Science and Art Centers’ Summer School Support and Development Course of Thinking Education Workshop Program According to Bloom’s Taxonomy. Open Journal for Educational Research, 7(2), 93–106. https://doi.org/10.32591/coas.ojer.0702.03093b
  4. C. Meniado, J. (2023). The Impact of ChatGPT on English Language Teaching, Learning, and Assessment: A Rapid Review of Literature. Arab World English Journal, 14(4), 3–18. https://doi.org/10.24093/awej/vol14no4.1
  5. Dorgham, R., & Obiad, L. Bin. (2025). Utilizing an Instructional Higher-Order Thinking-Based Strategy to Improve EFL Critical Reading Skills. Journal of Language Teaching and Research, 16(4), 1373–1382. https://doi.org/10.17507/jltr.1604.30
  6. Downie, N. , & S. A. (2016). Descriptive and Inferential Statistics. In Quantitative Geography: The Basics (pp. 75–95). SAGE Publications Ltd. https://doi.org/10.4135/9781473920446.n5
  7. Dresel, M., Schmitz, B., Schober, B., Spiel, C., Ziegler, A., Engelschalk, T., Jöstl, G., Klug, J., Roth, A., Wimmer, B., & Steuer, G. (2015). Competencies for successful self-regulated learning in higher education: structural model and indications drawn from expert interviews. Studies in Higher Education, 40(3), 454–470. https://doi.org/10.1080/03075079.2015.1004236
  8. Eragamreddy, Dr. N. (2025). Interactive AI-Driven Storytelling for Language Development. International Journal of Social Science Humanity & Management Research, 04(02). https://doi.org/10.58806/ijsshmr.2025.v4i2n08
  9. Kohnke, L., Moorhouse, B. L., & Zou, D. (2023). ChatGPT for Language Teaching and Learning. RELC Journal, 54(2), 537–550. https://doi.org/10.1177/00336882231162868
  10. Ledesma Acosta, B. V., Martínez Mora, G. G., Medina Castro, G. J., & Lozano Alvarado, C. I. (2025). Project-Based learning for Academic reading: Enhancing higher-order thinking Skills in EFL Learners. Revista Científica Multidisciplinar G-Nerando, 6(1). https://doi.org/10.60100/rcmg.v6i1.538
  11. Ledolter, J., Gramlich, O. W., & Kardon, R. H. (2020). Parametric Statistical Inference for Comparing Means and Variances. Investigative Opthalmology & Visual Science, 61(8), 25. https://doi.org/10.1167/iovs.61.8.25
  12. Lo, C. K., Yu, P. L. H., Xu, S., Ng, D. T. K., & Jong, M. S. (2024). Exploring the application of ChatGPT in ESL/EFL education and related research issues: a systematic review of empirical studies. Smart Learning Environments, 11(1), 50. https://doi.org/10.1186/s40561-024-00342-5
  13. Mahapatra, S. (2024). Impact of ChatGPT on ESL students’ academic writing skills: a mixed methods intervention study. Smart Learning Environments, 11(1), 9. https://doi.org/10.1186/s40561-024-00295-9
  14. Musikin, M., Mohd Matore, M. E. a. k. a. E., & Mohamad, N. (2023). Expert Evaluation on the Content Validity of the Novice Teachers’ Assessment Inventory (InPGN). Environment-Behaviour Proceedings Journal, 8(SI15), 107–112. https://doi.org/10.21834/e-bpj.v8iSI15.5087
  15. Nahm, F. S. (2016). Nonparametric statistical tests for the continuous data: the basic concept and the practical use. Korean Journal of Anesthesiology, 69(1), 8. https://doi.org/10.4097/kjae.2016.69.1.8
  16. Nguyen, T. B. T., & Trinh, T. H. (2025). A Proposed Instrument to Investigate University Students’ Critical Reading Strategy Use in English Reading Comprehension. VNU Journal of Foreign Studies, 41(4), 151–169. https://doi.org/10.63023/2525-2445/jfs.ulis.5480
  17. Niculescu, B.-O., & Dragomir, I.-A. (2023). Critical Reading - A Fundamental Skill for Building 21 st Century Literacy. International Conference KNOWLEDGE-BASED ORGANIZATION, 29(2), 215–220. https://doi.org/10.2478/kbo-2023-0060
  18. Pujiastuti, I., Damaianti, V. S., Mulyati, Y., Sastromihardjo, A., & Lestari, D. (2025). Ketergantungan penggunaan AI pada pendidikan tinggi: Ancaman terhadap keterampilan membaca teks akademik. Diglosia: Jurnal Kajian Bahasa, Sastra, Dan Pengajarannya, 8(2), 473–484. https://doi.org/10.30872/diglosia.v8i2.1243
  19. Samaray, S. (2025). Penerapan Artificial Intelligence-ChatGPT dalam Pembelajaran Matematika Diskrit. SABER : Jurnal Teknik Informatika, Sains Dan Ilmu Komunikasi, 3(1), 263–272. https://doi.org/10.59841/saber.v3i1.2283
  20. Shafiee Rad, H. (2025). Reinforcing L2 reading comprehension through artificial intelligence intervention: refining engagement to foster self-regulated learning. Smart Learning Environments, 12(1), 23. https://doi.org/10.1186/s40561-025-00377-2
  21. Slamet, J. (2024). Potential of ChatGPT as a digital language learning assistant: EFL teachers’ and students’ perceptions. Discover Artificial Intelligence, 4(1), 46. https://doi.org/10.1007/s44163-024-00143-2
  22. Wang, J., & Fan, W. (2025). RETRACTED ARTICLE: The effect of ChatGPT on students’ learning performance, learning perception, and higher-order thinking: insights from a meta-analysis. Humanities and Social Sciences Communications, 12(1), 621. https://doi.org/10.1057/s41599-025-04787-y
  23. Zaimoğlu, S., & Dağtaş, A. (2025). Teacher Cognition and Practices in Using Generative AI Tools to Support Student Engagement in EFL Higher-Education Contexts. Behavioral Sciences, 15(9), 1202. https://doi.org/10.3390/bs15091202