Investigating Students’ Informal Use of AI Tools during University English Classes

Authors

  • Reni Apriani Universitas La Tansa Mashiro
  • Shibani Basu Dubey The Bhopal School of Social Sciences, BSSS, Bhopal, India

DOI:

https://doi.org/10.70152/matcha.v2i1.346

Keywords:

artificial intelligence,, language learning, informal learning, qualitative research, university students

Article Metrics

Abstract

The rapid proliferation of artificial intelligence (AI) tools has transformed how university students engage with English learning, often beyond formal instructional designs. This qualitative study investigates students’ informal use of AI tools during university English classes and examines how they interpret the role of these tools in shaping their learning experiences and classroom engagement. Drawing on classroom observations and semi-structured interviews, the study explores the ways students independently integrate AI tools such as translation, paraphrasing, and generative assistance to support comprehension, participation, and task completion in real time. The findings reveal that students employ AI tools strategically to manage linguistic challenges, maintain engagement, and enhance confidence, while simultaneously negotiating concerns related to overreliance and academic norms. Students generally perceive AI as a supportive, complementary resource rather than a substitute for instruction or effort. By foregrounding informal and learner-initiated AI use, this study contributes to current discussions on AI integration in English language education, highlighting the importance of recognizing students’ everyday practices and perspectives when developing pedagogical and policy responses to AI-enhanced learning environments.

References

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

Al-Zahrani, A. M. (2024). Unveiling the shadows: Beyond the hype of AI in education. Heliyon, 10(9). https://doi.org/10.1016/j.heliyon.2024.e30696

Aler Tubella, A., Mora-Cantallops, M., & Nieves, J. C. (2024). How to teach responsible AI in Higher Education: Challenges and opportunities. Ethics and Information Technology, 26(1), 3. https://doi.org/10.1007/s10676-023-09733-7

Ali, D., Fatemi, Y., Boskabadi, E., Nikfar, M., Ugwuoke, J., & Ali, H. (2024). ChatGPT in teaching and learning: A systematic review. Education Sciences, 14(6), 643. https://doi.org/10.3390/educsci14060643

Ali, O., Murray, P. A., Momin, M., Dwivedi, Y. K., & Malik, T. (2024). The effects of artificial intelligence applications in educational settings: Challenges and strategies. Technological Forecasting and Social Change, 199, 123076. https://doi.org/10.1016/j.techfore.2023.123076

Aljabr, F. (2025). ASR using Speechnotes for EFL learners: A study of the effects on English pronunciation and prosody skills. Journal of Ecohumanism, 4(2). https://doi.org/10.62754/joe.v4i2.6384

Almelhes, S. A. (2023). A review of artificial intelligence adoption in second-language learning. Theory and Practice in Language Studies, 13(5), 1259–1269. https://doi.org/10.17507/tpls.1305.21

Bećirović, S., Polz, E., & Tinkel, I. (2025). Exploring students’ AI literacy and its effects on their AI output quality, self-efficacy, and academic performance. Smart Learning Environments, 12(1), 29. https://doi.org/10.1186/s40561-025-00384-3

Braun, V., & Clarke, V. (2021). Thematic analysis: A practical guide. In Sage Publications (p. 320). https://books.google.se/books?id=Hr11DwAAQBAJ&hl=sv

Cancino, M., & Gonzalez, N. (2023). Exploring reading attitudes, reading self-efficacy, and reading proficiency in a blended learning context among EFL learners. Journal of Language and Education, 9(4), 31–45. https://doi.org/10.17323/jle.2023.16303

Çelik, F., Baturay, M. H., Yastıbaş, A. E., Namaziandost, E., & Ersanlı, C. Y. (2025). Modelling the complex dynamic effect of L2 speaking anxiety in metaverse on students’ academic enjoyment, pronunciation anxiety, speaking performance, and task load. British Educational Research Journal. https://doi.org/10.1002/berj.70062

Chen, C., & Gong, Y. (Frank). (2025). The role of AI-assisted learning in academic writing: A mixed-methods study on Chinese as a second language students. Education Sciences, 15(2), 141. https://doi.org/10.3390/educsci15020141

Chichekian, T., & Benteux, B. (2022). The potential of learning with (and not from) artificial intelligence in education. Frontiers in Artificial Intelligence, 5. https://doi.org/10.3389/frai.2022.903051

Demartini, C. G., Sciascia, L., Bosso, A., & Manuri, F. (2024). Artificial intelligence bringing improvements to adaptive learning in education: A case study. Sustainability, 16(3), 1347. https://doi.org/10.3390/su16031347

Dergaa, I., Chamari, K., Zmijewski, P., & Saad, H. Ben. (2023). From human writing to artificial intelligence generated text: Examining the prospects and potential threats of ChatGPT in academic writing. Biology of Sport, 40(2), 615–622. https://doi.org/10.5114/BIOLSPORT.2023.125623

Dieterle, E., Dede, C., & Walker, M. (2022). The cyclical ethical effects of using artificial intelligence in education. AI and Society. https://doi.org/10.1007/s00146-022-01497-w

Fitriati, S. W., & Williyan, A. (2025). AI-enhanced self-regulated learning: EFL learners ’ prioritization and utilization in presentation skills development. Journal of Pedagogical Research, 9(2), 22–37. https://doi.org/https://doi.org/10.33902/JPR.202530647

Fteiha, M., Al-Rashaida, M., & Ghazal, M. (2025). General and special education teachers’ readiness for artificial intelligence in classrooms: A structural equation modeling study of knowledge, attitudes, and practices in select UAE public and private schools. PLOS One, 20(9), e0331941. https://doi.org/10.1371/journal.pone.0331941

Hockly, N. (2023). Artificial intelligence in English language teaching: The good, the bad and the ugly. RELC Journal, 54(2), 445–451. https://doi.org/10.1177/00336882231168504

Hsiao, J.-C., & Chang, J. S. (2023). Enhancing EFL reading and writing through AI-powered tools: Design, implementation, and evaluation of an online course. Interactive Learning Environments, 1–16. https://doi.org/10.1080/10494820.2023.2207187

Javaid, M., Haleem, A., Singh, R. P., Khan, S., & Khan, I. H. (2023). Unlocking the opportunities through ChatGPT Tool towards ameliorating the education system. BenchCouncil Transactions on Benchmarks, Standards and Evaluations, 3(2), 100115. https://doi.org/10.1016/j.tbench.2023.100115

Jiang, R. (2022). How does artificial intelligence empower EFL teaching and learning nowadays? A review on artificial intelligence in the EFL context. Frontiers in Psychology, 13(Ml). https://doi.org/10.3389/fpsyg.2022.1049401

Karakaya, K., & Bozkurt, A. (2022). Mobile-assisted language learning (MALL) research trends and patterns through bibliometric analysis: Empowering language learners through ubiquitous educational technologies. System, 110, 102925. https://doi.org/10.1016/j.system.2022.102925

Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Pfeffer, J., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., … Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274

Kusuma, I. P. I., Dewi, N. L. P. E. S., & Paramartha, A. a. G. Y. (2024). Informal digital learning of English to support a formal speaking course: EFL preservice teachers’ perceptions and implementation ideas. Turkish Online Journal of Distance Education, 25(4), 244–259. https://doi.org/10.17718/tojde.1360065

Law, L. (2024). Application of generative artificial intelligence (GenAI) in language teaching and learning: A scoping literature review. Computers and Education Open, 6(December 2023), 100174. https://doi.org/10.1016/j.caeo.2024.100174

Lee, D., Kim, H., & Sung, S.-H. (2023). Development research on an AI English learning support system to facilitate learner-generated-context-based learning. Educational Technology Research and Development, 71(2), 629–666. https://doi.org/10.1007/s11423-022-10172-2

Leplaa, H. J., Tönjes, J. A., Bouterse, M., Soppe, K. F. B., & Klugkist, I. (2025). Applying qualitative methods to experimental designs: A tutorial for the behavioral sciences. PLOS One, 20(6), e0324936. https://doi.org/10.1371/journal.pone.0324936

Liu, G. L., Darvin, R., & Ma, C. (2024). Exploring AI-mediated informal digital learning of English (AI-IDLE): A mixed-method investigation of Chinese EFL learners’ AI adoption and experiences. Computer Assisted Language Learning, 0(0), 1–29. https://doi.org/10.1080/09588221.2024.2310288

Lobo-Quintero, R. (2025). AI-enhanced think-pair-share: A learning analytics approach to foster linguistic creative thinking and collaborative learning. Journal of Learning Analytics, 12(2), 19–34. https://doi.org/10.18608/jla.2025.8807

Monib, W. K., Qazi, A., Apong, R. A., Santos, J. H., & Mahmud, M. M. (2025). The MIND model a microlearning AI-integrated instructional design for enhanced learning outcomes. Scientific Reports, 15(1), 41020. https://doi.org/10.1038/s41598-025-24910-y

Oates, A., & Johnson, D. (2025). ChatGPT in the classroom: Evaluating its role in fostering critical evaluation skills. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-024-00452-8

Ouyang, F., & Jiao, P. (2021). Artificial intelligence in education: The three paradigms. Computers and Education: Artificial Intelligence, 2, 100020. https://doi.org/10.1016/j.caeai.2021.100020

Pavlova, A., Gerazov, B., & Barreiro, A. (2024). Large language models and OpenLogos: An educational case scenario. Open Research Europe, 4, 110. https://doi.org/10.12688/openreseurope.17605.1

Rad, H. S., Alipour, R., & Jafarpour, A. (2023). Using artificial intelligence to foster students’ writing feedback literacy, engagement, and outcome: A case of Wordtune application. Interactive Learning Environments, 1–21. https://doi.org/10.1080/10494820.2023.2208170

Rahmi, R., Amalina, Z., Andriansyah, A., & Rodgers, A. (2024). Does it really help? Exploring the impact of Al-Generated writing assistant on the students’ English writing. Studies in English Language and Education, 11(2), 998–1012. https://doi.org/10.24815/siele.v11i2.35875

Ramadevi, J., Sushama, C., Balaji, K., Talasila, V., Sindhwani, N., & Mukti. (2023). AI enabled value-oriented collaborative learning: Centre for innovative education. Journal of High Technology Management Research, 34(2), 100478. https://doi.org/10.1016/j.hitech.2023.100478

Raptopoulou, A. (2025). ChatGPT in higher education: Supporting academic literacy through ChatGPT‐based activities. European Journal of Education, 60(2). https://doi.org/10.1111/ejed.70131

Silvola, A., Kajamaa, A., Merikko, J., & Muukkonen, H. (2025). AI‐mediated sensemaking in higher education students’ learning processes: Tensions, sensemaking practices, and AI ‐assigned purposes. British Journal of Educational Technology, 56(5), 2001–2018. https://doi.org/10.1111/bjet.13606

Williyan, A., Supriyono, Y., & Dewi, N. S. N. (2025). Deliberative teacher agency: A phenomenological study on ICT integration in writing instruction by Indonesian EFL educators. Pedagogika, 159(3), 5–29. https://doi.org/10.15823/p.2025.159.1

Zakir, S., Hoque, M. E., Susanto, P., Nisaa, V., Alam, M. K., Khatimah, H., & Mulyani, E. (2025). Digital literacy and academic performance: The mediating roles of digital informal learning, self-efficacy, and students’ digital competence. Frontiers in Education, 10. https://doi.org/10.3389/feduc.2025.1590274

Zhao, X. (2023). Leveraging artificial intelligence (AI) technology for English writing: Introducing Wordtune as a digital writing assistant for EFL writers. RELC Journal, 54(3), 890–894. https://doi.org/10.1177/00336882221094089

Zhou, S., Xu, J., & Thomas, N. (2024). L2 listening in a digital era: Developing and validating the mobile-assisted self-regulated listening strategy questionnaire (MSRLS-Q). System, 123, 103310. https://doi.org/10.1016/j.system.2024.103310

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Published

2026-06-01

How to Cite

Apriani, R., & Dubey, S. B. (2026). Investigating Students’ Informal Use of AI Tools during University English Classes. MATCHA: Journal of Modern Approaches to Communication, Humanities, and Academia, 2(1), 82–99. https://doi.org/10.70152/matcha.v2i1.346