THE EVOLVING ROLE OF THE TEACHER IN THE AGE OF AI: FOREIGN LANGUAGE STUDENTS’ PERSPECTIVES

Узданица XXII-II (2025) (стр. 259-278)

АУТОР(И) / AUTHOR(S): Danijela D. Vranješ , Kristina B. Krčmarević Bogdanović , Marko M. Petrić

 

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DOI: 10.46793/Uzdanica22.2.259V

САЖЕТАК / ABSTRACT:

This study investigates foreign language (FL) students’ perceptions of AI integration in higher education and its impact on the teacher’s role. A three-part questionnaire administered to 215 students at the University of Belgrade’s Faculty of Philology assessed their awareness, experiences, and attitudes toward AI in FL teaching, including its influence on educators’ career prospects. While students recognized AI’s potential for personalized learning and resource creation, they expressed concerns about over-reliance and the dehumanization of teaching. They emphasized the irreplaceable role of human teachers in fostering critical thinking, nuanced language skills, empathy, and guidance. The findings suggest that the future of FL education requires a balanced integration of AI and human instruction, with technology enhancing rather than replacing core pedagogical values.

КЉУЧНЕ РЕЧИ / KEYWORDS:

artificial intelligence, AI in education, AI in foreign language teaching, teacher role and AI.

ЛИТЕРАТУРА / REFERENCES:

  • Alhusaiyan, E. (2025). A systematic review of current trends in artificial intelligence in foreign language learning. Saudi Journal of Language Studies, 5(1), 1–16. https://doi.org/10.1108/SJLS-07-2024-0039 
  • Aryadoust, V., Zakaria, A., & Jia, Y. (2024). Investigating the affordances of OpenAI’s large language model in developing listening assessments. Computers and Education: Artificial Intelligence, 6. https://doi.org/10.1016/j.caeai.2024.100204 
  • Blankenship, R. (2024). Pedagogical Models and Generative AI Fluency: A Three-Tiered Empirical Framework Approach. In M. Searson, E. Langran, & J. Trumble (Eds.), Exploring New Horizons: Generative Artificial Intelligence and Teacher Education, 39–61. AACE ‒ Association for the Advancement of Computing in Education.
  • Celik, I., Dindar, M., Muukkonen, H., & Järvelä, S. (2022). The promises and challenges of artificial intelligence for teachers: A systematic review of research. TechTrends, 66(4), 616–630. https://doi.org/10.1007/s11528-022-00715-y 
  • Chiu, T. K. F., Xia, Q., Zhou, X.-Y., Chai, C. S., & Cheng, M.-T. (2023). Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education. Computer & Education: Artificial Intelligence, 4, 100118. https://doi.org/10.1016/j.caeai.2022.100118
  • Chiu, T. K. (2024). Future research recommendations for transforming higher education with generative AI. Computers and Education: Artificial Intelligence, 6, 100197. https://doi.org/10.1016/j.caeai.2023.100197 
  • Chounta, I., Bardone, E., Raudsep, A., & Pedaste, M. (2021). Exploring Teachers’ Perceptions of Artificial Intelligence as a Tool to Support their Practice in Estonian K-12 Education. International Journal of Artificial Intelligence in Education, 32(3), 725–755. https://doi.org/10.1007/s40593-021-00243-5
  • Du, J., & Daniel, B. K. (2024). Transforming language education: A systematic review of AI-powered chatbots for English as a foreign language speaking practice. Computers and education. Artificial intelligence, 6. https://doi.org/10.1016/j.caeai.2024.100172
  • Essel, H. B., Vlachopoulos, D., Essuman, A. B., & Amankwa, J. O. (2024). ChatGPT effects on cognitive skills of undergraduate students: Receiving instant responses from AI-based conversational large language models (LLMs). Computers and Education: Artificial Intelligence, 6, 100198. https://doi.org/10.1016/j.caeai.2023.100198 
  • Felix, C. (2020). The Role of the Teacher and AI in Education. In E. Sengupta, P. Blessinger, & M. Makhanya (Eds.), International Perspectives on the Role of Technology in Humanizing Higher Education (Innovations in Higher Education Teaching and Learning, Vol. 33 (pp. 33–48). Emerald Publishing Limited. https://doi.org/10.1108/S2055-364120200000033003
  • Fleckenstein, J., Meyer, J., Jansen, T., Keller, S. D., Köller, O., & Möller, J. (2024). Do teachers spot AI? Evaluating the detectability of AI-generated texts among student essays. Computers and Education: Artificial Intelligence, 6, 100209. https://doi.org/10.1016/j.caeai.2024.100209 
  • Gan, W., Qi, Z., Wu, J., & Lin, J. C. (2023). Large Language Models in Education: Vision and Opportunities. IEEE International Conference on Big Data, 1–10. https://doi.org/10.1109/BigData55904.2023.10386561
  • Garg, S., & Sharma, S. (2020). Impact of artificial intelligence in special need education to promote inclusive pedagogy. International Journal of Information and Education Technology, 10(7), 523–527. http://dx.doi.org/10.18178/ijiet.2020.10.7.1418 
  • Gentile, M., Città, G., Perna, S., & Allegra, M. (2023). Do we still need teachers? Navigating the paradigm shift of the teacher’s role in the AI era. Frontiers in Education, 8. https://doi.org/10.3389/feduc.2023.1161777 
  • Ghamrawi, N., Shal, T., & Ghamrawi, N. A. (2024). Exploring the impact of AI on teacher leadership: regressing or expanding?. Education and Information Technologies, 29(7), 8415–8433. https://doi.org/10.1007/s10639-023-12174-w 
  • Gondwe, F., & Mtemang’ombe, F. (2024). Envisioning Generative AI in Teacher Education in Malawi: The Role of Teacher Educators as Researchers and Curriculum Developers. In M. Searson, E. Langran, & J. Trumble (Eds.), Exploring New Horizons: Generative Artificial Intelligence and Teacher Education, 238‒247. AACE ‒ Association for the Advancement of Computing in Education.
  • Grassini, S. (2023). Shaping the future of education: exploring the potential and consequences of AI and ChatGPT in educational settings. Education Sciences, 13(7), 692. https://doi.org/10.3390/educsci13070692
  • Halaweh, M. & Refae, G. E. (2024). Examining the Accuracy of AI Detection Software Tools in Education, 2024 Fifth International Conference on Intelligent Data Science Technologies and Applications (IDSTA), Dubrovnik, Croatia, pp. 186‒190, https://doi.org/10.1109/IDSTA62194.2024.10747004 
  • Haleem, A., Javaid, M., & Singh, R. P. (2022). An era of ChatGPT as a significant futuristic support tool: A study on features, abilities, and challenges. BenchCouncil transactions on benchmarks, standards and evaluations, 2(4),100089. https://doi.org/10.1016/j.tbench.2023.100089 
  • Hrastinski, S., Olofsson, A. D., Arkenback, C., Ekström, S., Ericsson, E., Fransson, G., Jaldemark, J., Ryberg, T., Öberg, L.-M., Fuentes, A., Gustafsson, U., Humble, N., Mozelius, P., Sundgren, M., & Utterberg, M. (2019). Critical imaginaries and reflections on artificial intelligence and robots in postdigital K-12 education. Postdigital Science and Education, 1, 427–445. https://doi.org/10.1007/s42438-019-00046-x 
  • Indira, E. W. M., Hermanto, A., & Pramono, S. E. (2020). Improvement of teacher competence in the industrial revolution era 4.0. International conference on science and education and technology (ISET 2019), 350–352. https://doi.org/10.1088/1742-6596/1500/1/012068
  • Ji, H., Han, I., & Ko, Y. (2022). A systematic review of conversational AI in language education: focusing on the collaboration with human teachers. Journal of Research on Technology in Education, 55(1), 48–63. https://doi.org/10.1080/15391523.2022.2142871
  • Julien, G. (2024). How Artificial Intelligence (AI) Impacts Inclusive Education. Educational Research and Reviews, 19(6), 95–103. https://doi.org/10.1080/15391523.2022.2142873 
  • Kim, N. J., & Kim, M. K. (2022). Teacher’s perceptions of using an Artificial Intelligence-Based educational tool for scientific writing. Frontiers in Education, 7, 755914. http://dx.doi.org/10.3389/feduc.2022.755914  
  • Lee, D., Arnold, M., Srivastava, A., Plastow, K., Strelan, P., Ploeckl, F., Lekkas, D., & Palmer, E. (2024). The impact of generative AI on higher education learning and teaching: A study of educators’ perspectives. Computers and Education Artificial Intelligence, 6, 100221. https://doi.org/10.1016/j.caeai.2024.100221  
  • Liang, W., & Wu, Y. (2024). Exploring the use of ChatGPT to foster EFL learners’ critical thinking skills from a post-humanist perspective. Thinking Skills and Creativity, 54, 101645. https://doi.org/10.1016/j.tsc.2024.101645 
  • Lin, H., & Chen, Q. (2024). Artificial intelligence (AI) -integrated educational applications and college students’ creativity and academic emotions: students and teachers’ perceptions and attitudes. BMC Psychology, 12(1). https://doi.org/10.1186/s40359-024-01979-0
  • McGrath, C., Pargman, T. C., Juth, N., & Palmgren, P. J. (2023). University teachers’ perceptions of responsibility and artificial intelligence in higher education ‒ An experimental philosophical study. Computers and Education Artificial Intelligence, 4, 100139. https://doi.org/10.1016/j.caeai.2023.100139   
  • Moorhouse, B. L. (2024). Beginning and first-year language teachers’ readiness for the generative AI age. Computers and Education Artificial Intelligence, 6, 100201. https://doi.org/10.1016/j.caeai.2024.100201  
  • Mousavi, A., Schmidt, M., Squires, V., & Wilson, K. (2021). Assessing the effectiveness of student advice recommender agent (SARA): The case of automated personalized feedback. International Journal of Artificial Intelligence in Education, 31, 603–621. https://doi.org/10.1007/s40593-020-00210-6  
  • Pedro, F., Subosa, M., Rivas, A., & Valverde, P. (2019). Artificial intelligence in education: Challenges and opportunities for sustainable development. UNESCO.  
  • Pereira, J. (2016). Leveraging chatbots to improve self-guided learning through conversational quizzes. Proceedings of the fourth international conference on technological ecosystems for enhancing multiculturality, 911–918. https://doi.org/10.1145/3012430.3012625 
  • Perkins, M., Roe, J., Postma, D., McGaughran, J., & Hickerson, D. (2023). Detection of GPT-4 generated text in higher education: Combining academic judgement and software to identify generative AI tool misuse. Journal of Academic Ethics, 22, 89–113. https://doi.org/10.1007/s10805-023-09492-6
  • Petrović, J., & Jovanović, M. (2021). The role of chatbots in foreign language learning: the present situation and the future outlook. Artificial intelligence: Theory and applications, 313–330. http://dx.doi.org/10.1007/978-3-030-72711-6_17
  • Rütti-Joy, O., Winder, G., & Biedermann, H. (2023). Building AI literacy for sustainable teacher education. Zeitschrift für Hochschulentwicklung, 18(4), 175–189. http://dx.doi.org/10.21240/zfhe/18-04/10 
  • Saldaña, J. (2013). The coding manual for qualitative researchers: Second edition. SAGE Publications.
  • Sanusi, I. T., Ayanwale, M. A., & Tolorunleke, A. E. (2024). Investigating pre-service teachers’ artificial intelligence perception from the perspective of planned behavior theory. Computers and Education Artificial Intelligence, 6, 100202. https://doi.org/10.1016/j.caeai.2024.100202 
  • Wang, C., Li, Z., & Bonk, C. (2024). Understanding Self-Directed Learning in AI-Assisted Writing: A Mixed Methods Study of Postsecondary Learners. Computers and Education: Artificial Intelligence, 6, 100247. https://doi.org/10.1016/j.caeai.2024.100247