THE VIEWS OF SLOVENIAN UNIVERSITY STUDENTS OON THE APPLICATION OF ARTIFICIAL INTELLLIGENCE IN LSP TEACHING
DOI:
https://doi.org/10.46763/Keywords:
artificial intelligence; views; language for specific purposes; learning and teaching; foreign languages and students.Abstract
This study investigates Slovenian students' views on the application of AI technologies in language classes (Language for Specific Purposes, or LSP). An online survey involving 239 students was carried out at four main Slovenian universities. According to the findings, students often utilize AI applications like ChatGPT, Grammarly, AI Writer, Whitesonic and others to prepare assignments, enhance the quality of their writing, and acquire new knowledge. However, issues with overuse, poor critical thinking, and data accuracy still exist. There were gender inequalities, with male students utilizing AI tools more frequently than female students to prepare for tests and communicate with colleagues. According to the study, greater teacher preparation, balanced AI use in conjunction with critical thinking abilities, and defined rules for using AI into language learning curriculum are all necessary. It also emphasizes the importance of raising students’ ethical consciousness.
Downloads
References
1. Abdalgane, M., & Othman, K. A. J. (2023). Utilizing artificial intelligence technologies in Saudi EFL tertiary level classrooms. Journal of Intercultural Communication, 23(1), 92–99. https://doi.org/10.36923/jicc.v23i1.124
2. Alenezi, M. (2023). Digital learning and digital institution in higher education. Education Sciences, 13(1). https://doi.org/10.3390/educsci13010088
3. Alharbi, W. (2023). AI in the foreign language classroom: A pedagogical overview of automated writing assistance tools. Education Research International, 2023. https://doi.org/10.1155/2023/4253331
4. Almashy, A., Ahmed, A. S. M., Jamshed, M., Ansari, M. S., Banu, S., & Warda, W. U. (2024). Analyzing the impact of CALL tools on English learners’ writing skills: A comparative study of errors correction. World Journal of English Language, 14(6), 657. https://doi.org/10.5430/wjel.v14n6p657
5. Aschemann, B., Klampferer, M., Lamprecht, K., & Schüßler, G. (2025). KI-Kompetenz fundiert vermitteln. Empfehlungen für die Bildungspraxis, Magazin erwachsenenbildung.at 19, 55, 76-85. https://doi.org/10.25656/01:33691
6. Berger-Konen, C. (2025). KI-Kompetenzen in der Bildung: Nothing else matters? Medienimpulse, 63(2), 1-36. https://doi.org/10.21243/mi-02-25-13
7. Bergmann, S. (17.11.2025). Geschlechtsunterschiede in der Wahrnehmung von und Adaptation an Technologien. Zugegriffen am 17.11.2025 vom https://www.psychologie-im-arbeitsleben.phil.fau.de/forschung/forschungsschwerpunkte/mensch-technologie-interaktion/geschlechtsunterschiede-in-der-adaptation-an-technologien/
8. Brandhofer, G. & Tengler, K. (2024). Zur Akzeptanz von KI-Applikationen bei Lehrenden und Lehramtsstudierenden. R&E-SOURCE, 11(3), 7-25. https://doi.org/10.53349/resource.2024.i3.a1277
9. Chiu, T. K. F., Xia, Q., Zhou, X., Chai, C. S., & Cheng, M. (2023). Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education. Computers and Education: Artificial Intelligence. Elsevier B.V. https://doi.org/10.1016/j.caeai.2022.100118
10. Dimulescu, C., & Nechifor, A. (2022). Accommodating English for specific purposes to computer-assisted language learning. Bulletin of the Transilvania University of Brasov. Series IV: Philology and Cultural Studies, 14(63)(2), 5–18. https://doi.org/10.31926/but.pcs.2021.63.14.2.1
11. Fleckenstein, J., Liebenow, L. W., & Meyer, J. (2023). Automated feedback and writing: A multi-level meta-analysis of effects on students’ performance. Frontiers in Artificial Intelligence. https://doi.org/10.3389/frai.2023.1162454
12. Jindal, H., Kumar, D., Ishika, Santosh, K., & Rakesh Kumar. (2021). Role of artificial intelligence in distinct sector: A study. Asian Journal of Computer Science and Technology, 10(1), 18–28.https://doi.org/10.51983/ajcst-2021.10.1.2696
13. Kim, S. W., & Lee, Y. (2024). Investigation into the influence of socio-cultural factors on attitudes toward artificial intelligence. Education and Information Technologies, 29(8), 9907–9935. https://doi.org/10.1007/s10639-023-12172-y
14. Long, D., & Magerko, B. (2020): Long, D. & Magerko, B. (2020). What is AI literacy? Competencies and Design Considerations. Proceedings of the 2020 CHI conference on human factors in computing systems, 1-16. Zugegriffen am 16.11.2025 vom https://dl.acm.org/doi/proceedings/10.1145/3313831
15. Miller, D. (2023). Embracing the technological metamorphosis: Envisioning higher education for Generation Alpha in a shifting educational landscape. International Journal Software Engineering and Computer Science (IJSECS), 3(2), 88–96. https://doi.org/10.35870/ijsecs.v3i2.1492
16. Moulieswaran, N., & Kumar, P. N. S. (2023). Investigating ESL learners’ perception and problem towards artificial intelligence (AI)-assisted English language learning and teaching. World Journal of English Language, 13(5), 290–298. https://doi.org/10.5430/wjel.v13n5p290
17. Müller, S. (2024). Künstliche Intelligenz im Kindesschutz. Eine Untersuchung zur Wahrnehmung von KI-gestützten Entscheidungshilfen im Kindesschutz. Master of Science in Sozialer Arbeit Zürich, Frühlingssemester 2024. Zugegriffen am 17.11.2025 vom https://digitalcollection.zhaw.ch/server/api/core/bitstreams/9125d6f4-01e5-4962-8c9e-e7960f70fa31/content
18. Oyebola Olusola Ayeni, N. M. A. H., Onyebuchi Nneamaka Chisom, B. O., & Ololade Elizabeth Adewusi. (2024). AI in education: A review of personalized learning and educational technology. GSC Advanced Research and Reviews, 18(2), 261–271. https://doi.org/10.30574/gscarr.2024.18.2.0062
19. Roll, I., & Wylie, R. (2016). Evolution and revolution in artificial intelligence in education. International Journal of Artificial Intelligence in Education, 26(2), 582–599. https://doi.org/10.1007/s40593-016-0110-3
20. Setyaningsih, E., Asrori, M., Ngadiso, Sumardi, Zainnuri, H., & Hariyanti, Y. (2024). Exploring high school EFL teachers’ experiences with Magic School AI in lesson planning: Benefits and insights. Voices of English Language Education Society, 8(3). https://doi.org/10.29408/veles.v8i3.27700
21. Shard, D. K., & Koul, S. (2024). Digital transformation in higher education: A comprehensive review of e-learning adoption. Human Systems Management. IOS Press BV. https://doi.org/10.3233/HSM-230190
22. Suryanarayana, K. S., Prasad Kandi, V. S., Pavani, G., Rao, A. S., Rout, S., & Krishna, T. S. R. (2024). Artificial intelligence enhanced digital learning for the sustainability of education management system. Journal of High Technology Management Research, 35(2). https://doi.org/10.1016/j.hitech.2024.100495
23. Wang, S., Wang, F., Zhu, Z., Wang, J., Tran, T., & Du, Z. (2024). Artificial intelligence in education: A systematic literature review. Expert Systems with Applications. Elsevier Ltd. https://doi.org/10.1016/j.eswa.2024.124167
24. Zarei, M., Mamaghani, H. E., Abbasi, A., & Hosseini, M. S. (2024). Application of artificial intelligence in medical education: A review of benefits, challenges, and solutions. Medicina Clinica Practica, 7(2). https://doi.org/10.1016/j.mcpsp.2023.100422
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Tilen Smajla

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
The intellectual property and copyright on the original content of all scientific contributions in the published paper shall remain with the authors. Authors give permission to the PALIMPSEST owner to publish the paper. All authors agree to publish the paper under Attribution-NonCommercial-NoDerivatives 4.0 International license (CC BY-NC-ND 4.0)
