English Literature Students’ Attitude to AI-Powered Tools
DOI: https://doi.org/10.30605/pgppqr39
Artificial Intelligence (AI), Attitude, Exploratory Research
Abstract
AI-powered tools have been widely used in many fields, including education. The use of AI is prevalent due to its convenience offered to its users. Students in this era are among those who make use of this technology. The use can vary depending on the needs and intentions the students have. Therefore, it is necessary to find out how the students view this technology. This research aims at exploring how students see AI as beneficial tools for them as well as how students AI might cause concerns among them. This research applies a qualitative exploratory approach to collect the data. The findings show that students feel benefited from the use of AI during their learning journey including the instrumental functions and the more advanced functions of AI. On the other hand, the findings also show how students feel concerned about AI despite their regular use. The students realize that AI use may lead to overdependence causing the decline of critical thought. All in all, the use of AI must be accompanied by ethical considerations so that AI will not replace the cognitive process of its users.
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References
Afrilyasanti, R., & Basthomi, Y. (2022). A sudden shift: Students’, teachers’, and parents’ adaptation to learning during and after Covid-19 learning. Pegem Egitim ve Ogretim Dergisi, 12(2), 143–150. https://doi.org/10.47750/pegegog.12.02.14
Aithal, P. S., & Aithal, S. (2023). New research models under exploratory research method. In P.K. Paul et al., Emergence and Research in Interdisciplinary Management and Information Technology, (pp. 109 – 140). New Delhi Publishers. http://dx.doi.org/10.2139/ssrn.4490827
Ashrafuzzaman, M., Ahmed, I., & Begum, M. (2021). Learning English language through literature: Insights from a survey at university level in Bangladesh. Journal of Language and Linguistic Studies, 17, 1190–1209. https://doi.org/10.17263/jlls.904150
Baki, Y. (2025). The impact of critical listening and critical reading on critical thinking. Behavioral Sciences, 15(1). https://doi.org/10.3390/bs15010034
Bhatti, A. (2025). AI as an impediment to linguistic creativity in English language learners: A comprehensive review of a literature. World Journal of English Language, 15(6), 289-301. https://doi.org/10.5430/wjel.v15n6p289
Borgonovi, F., Bastagli, F., Ochojska, M., Piumatti, G. (2025), AI adoption in the education system: International insights and policy considerations for Italy”, OECD Artificial Intelligence Papers, 52, OECD Publishing, Paris/Fondazione Agnelli, https://doi.org/10.1787/69bd0a4a-en
Cao, L., & Lin, M. Y. A. (2025). Dialogic triad: Balancing human-AI collaboration in academic writing for scholarly publication. Journal of English for Research Publication Purposes, 6(2), 340-369. https://doi.org/10.1075/jerpp.00038.cao
Chan, C.K.Y., & Wong, H.Y.H. Assessing the ability of generative AI in English literary analysis through Bloom’s Taxonomy. Discov Computing 28, 127 (2025). https://doi.org/10.1007/s10791-025-09572-8
Chen, L., & Fang, Y. (2025). ChatGPT-3 policies in the making: Identifying blind spots and supporting the language needs of international students. In Z. Tian & C. Wang (Eds.), Rethinking Language Education in the Age of Generative AI (pp. 90–110). Routledge. https://doi.org/10.4324/9781003426929
Du, K., Geiger, J., Killen, T., Porta, A. E., & O’Brien, T. (2024). The paradigm shift in education in big data era: Exploring the intersection of historical assessment frameworks and AI-powered assessment methods in education. Journal of Education and Training Studies, 12(2), 22. https://doi.org/10.11114/jets.v12i2.6582
Farris-Berg, K. (2005). Listening to student voices -- on technology: Today's tech-savvy students are stuck in text-dominated schools. https: //www.educationevolving.org/studentvoices.
Garrett, P. (2010). Attitudes to Language. Cambridge University Press.
He, X. (2024). Enhancing reading comprehension with AI-generated adaptive texts. (2024). International Journal of New Developments in Education, 6(7), 46-52. https://doi.org/10.25236/ijnde.2024.060708
Hayati, A. (2016). The Correlation between Indonesian Students’ Vocabulary Mastery and Their Reading Comprehension. Al-Ta Lim Journal, 23(2), 95–99. https://doi.org/10.15548/jt.v23i2.217
Hunter, D. J., Mccallum, J., & Howes, D. (2019). Defining Exploratory-Descriptive Qualitative (EDQ) research and considering its application to healthcare. Journal of Nursing and Health Care 4(1). http://eprints.gla.ac.uk/180272/
Hurst, B., Wallace, R., & Nixon, S. B. (2013). The impact of social interaction on student learning. Reading Horizons: A Journal of Literacy and Language Arts, 52 (4). https://scholarworks.wmich.edu/reading_horizons/vol52/iss4/5
Latif, A. (2020). Tantangan guru dan masalah sosial di era digital. Jurnal Ilmu Sosial dan Pendidikan, 4(3), 613-621. http://ejournal.mandalanursa.org/index.php/JISIP/index
Mah, D. K., & Groß, N. (2024). Artificial intelligence in higher education: exploring faculty use, self-efficacy, distinct profiles, and professional development needs. International Journal of Educational Technology in Higher Education, 21(1). https://doi.org/10.1186/s41239-024-00490-1
Mutmainah, N., Ilfiandra., & Hafina, A. (2022). Student academic integrity: A literature review. Proceedings of the International Conference on Education, 1, 68-76.
Oranga, J., & Matere, A. (2023). Qualitative research: Essence, types and advantages. OALib, 10(12), 1–9. https://doi.org/10.4236/oalib.1111001
Parnther, C. (2020). Academic misconduct in higher education: A comprehensive review. Journal of Higher Education Policy and Leadership Studies, 1(1), 25–45. https://doi.org/10.29252/johepal.1.1.25
Ramirez, E. A. B., & Esparrell, J. A. F. (2024). Artificial Intelligence (AI) in education: Unlocking the perfect synergy for learning. Educational Process: International Journal, 13(1), 35–51. https://doi.org/10.22521/edupij.2024.131.3
Sharma, A., & Alvi, I. (2021). Evaluating pre and post COVID 19 learning: An empirical study of learners’ perception in higher education. Education and Information Technologies, 26(6), 7015–7032. https://doi.org/10.1007/s10639-021-10521-3
Sujatna, M. L., Astarina, A. N., & Heryono, H. (2024). AI for Language Learning: Friend or Foe? Linguistic, English Education and Art (LEEA) Journal, 7(2), 456–467. https://doi.org/10.31539/leea.v7i2.9331
Tian, Z., & Wang, C. (2025). Introduction: The changing landscape of language education and generative AI. In Z. Tian & C. Wang (Eds.), Rethinking Language Education in the Age of Generative AI (pp. 1–6). Routledge. https://doi.org/10.4324/9781003426929
Tolstykh, O. M., & Oshchepkova, T. (2024). Beyond ChatGPT: roles that artificial intelligence tools can play in an English language classroom. Discover Artificial Intelligence, 4(1). https://doi.org/10.1007/s44163-024-00158-9
Tong, A., Sainsbury, P., & Craig, J. (2007). Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups. International Journal for Quality in Health Care, 19(6), 349 – 357.
UNESCO. (2024). AI Competency Framework for Students. UNESCO Publishing.
Velasco, M.G. (2026, June 5). From ghostwriter to co-author-in-the-loop: Making AI’s writing labor visible. https://www.digitalrhetoriccollaborative.org/2026/06/05/from-ghostwriter-to-co-author-in-the-loop-making-ais-writing-labor-visible/
Vieriu, A. M., & Petrea, G. (2025). The impact of Artificial Intelligence (AI) on students’ academic development. Education Sciences, 15(3). https://doi.org/10.3390/educsci15030343
Walter, Y. (2024). Embracing the future of Artificial Intelligence in the classroom: the relevance of AI literacy, prompt engineering, and critical thinking in modern education. International Journal of Educational Technology in Higher Education, 21(1). https://doi.org/10.1186/s41239-024-00448-3
Waluyo, S., Nur Arifah, F., & Bina Patria, S. (2025). Developing a collaborative learning-based English for Artificial Intelligence textbook for ESP instruction. Journal of English Language, Literature, and Teaching, 9(1), 29-48. https://doi.org/10.31002/metathesis.v9i1
Winarti, H., Kholid, R.M., & Zakiyah, Z., (2025). Exploring EFL students’ attitudes of Artificial Intelligece (AI) as a tool for writing English thesis proposals in higher education. Cetta: Jurnal Ilmu Pendidikan, 8(2), 87-100. https://doi.org/10.37329/cetta.v8i2.4076
Zhao, H., & Dang, T. N. Y. (2026). Transforming written assessment design to embrace AI: what needs to be changed to encourage higher-order critical thinking. Education and Information Technologies, 31(7), 1909–1931. https://doi.org/10.1007/s10639-025-13870-5
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