Journal of Pedagogical Sociology and Psychology
Teachers’ perspectives on artificial intelligence applications in Turkish language teaching
Hakan Sarıtiken 1 *
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1 Düzce University, Faculty of Education, Konuralp, Düzce, Türkiye
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Journal of Pedagogical Sociology and Psychology, 2024 - Volume 6 Issue 3, pp. 233-247
https://doi.org/10.33902/jpsp.202433205

Article Type: Research Article

Published Online: 31 Dec 2024

Views: 55 | Downloads: 43

ABSTRACT
This phenomenological study aims to investigate the views of Turkish course teachers on the use of artificial intelligence (AI). The research is shaped around the role of AI in education, the challenges faced by teachers while using AI, its effects on student motivation, ethical issues around AI, and teachers’ predictions regarding AI’s role in education in the future. The study employs a phenomenological approach, and the participants were determined through criterion sampling. A total of 12 Turkish teachers were interviewed, and the data were collected in written form via a semi-structured interview form. The data were then analysed using thematic analysis, which yielded five main themes and three sub-themes. The results show that teachers are positive about the potential of AI to increase interaction and creativity in the classroom. However, challenges such as lack of training, inadequate technological infrastructure and reliability issues are also identified. The positive impact of AI applications on student motivation makes the classroom more fun and contributes to the development of students' independent learning skills. Ethical issues, privacy and data protection are highlighted by teachers. Expectations for the future are that the role of AI in education will increase and that educational policies and curricula should be updated. Therefore, in order to realise the potential of AI in education, teacher training, strengthening the technological infrastructure and ethical issues need to be addressed.
KEYWORDS
Artificial Intelligence Turkish Education Student Motivation Ethical Problems
In-text citation: (Sarıtiken, 2024)
Reference: Sarıtiken, H. (2024). Teachers’ perspectives on artificial intelligence applications in Turkish language teaching. Journal of Pedagogical Sociology and Psychology, 6(3), 233-247. https://doi.org/10.33902/jpsp.202433205
In-text citation: (1), (2), (3), etc.
Reference: Sarıtiken H. Teachers’ perspectives on artificial intelligence applications in Turkish language teaching. Journal of Pedagogical Sociology and Psychology. 2024;6(3), 233-247. https://doi.org/10.33902/jpsp.202433205
In-text citation: (1), (2), (3), etc.
Reference: Sarıtiken H. Teachers’ perspectives on artificial intelligence applications in Turkish language teaching. Journal of Pedagogical Sociology and Psychology. 2024;6(3):233-47. https://doi.org/10.33902/jpsp.202433205
In-text citation: (Sarıtiken, 2024)
Reference: Sarıtiken, Hakan. "Teachers’ perspectives on artificial intelligence applications in Turkish language teaching". Journal of Pedagogical Sociology and Psychology 2024 6 no. 3 (2024): 233-247. https://doi.org/10.33902/jpsp.202433205
In-text citation: (Sarıtiken, 2024)
Reference: Sarıtiken, H. (2024). Teachers’ perspectives on artificial intelligence applications in Turkish language teaching. Journal of Pedagogical Sociology and Psychology, 6(3), pp. 233-247. https://doi.org/10.33902/jpsp.202433205
In-text citation: (Sarıtiken, 2024)
Reference: Sarıtiken, Hakan "Teachers’ perspectives on artificial intelligence applications in Turkish language teaching". Journal of Pedagogical Sociology and Psychology, vol. 6, no. 3, 2024, pp. 233-247. https://doi.org/10.33902/jpsp.202433205
REFERENCES
  • Ajani, O. A., Gamede, B., & Matiyenga, T. C. (2025). Leveraging artificial intelligence to enhance teaching and learning in higher education: Promoting quality education and critical engagement. Journal of Pedagogical Sociology and Psychology, 7(1), 54-69. https://doi.org/10.33902/jpsp.202528400
  • Akgün, S., & Greenhow, C. (2021). Artificial intelligence in education: Addressing ethical challenges in K-12 settings. AI and Ethics, 2, 431 - 440. https://doi.org/10.1007/s43681-021-00096-7
  • Alase, A. (2017). The interpretative phenomenological analysis (IPA): A guide to a good qualitative research approach. International Journal of Education & Literacy Studies, 5(2), 9-19. https://doi.org/10.7575/aiac.ijels.v.5n.2p.9
  • Alasgarova, R., & Rzayev, J. (2024). The role of artificial intelligence in shaping high school students' motivation. International Journal of Technology in Education and Science, 8(2), 311-324. https://doi.org/10.46328/ijtes.553
  • Almulla, M. A. (2023). Constructivism learning theory: A paradigm for students’ critical thinking, creativity, and problem solving to affect academic performance in higher education. Cogent Education, 10(1), 2172929. https://doi.org/10.1080/2331186X.2023.2172929
  • Anderson, T. (2003). Getting the mix right again: An updated and theoretical rationale for interaction. International Review of Research in Open and Distance Learning, 4(2), 126–141. https://doi.org/10.19173/irrodl.v4i2.149
  • Asio, J. M. R., & Gadia, E. D. (2024). Predictors of student attitudes towards artificial intelligence: Implications and relevance to the higher education institutions. International Journal of Didactical Studies, 5(2), 27763. https://doi.org/10.33902/ijods.202427763
  • Baidya, M., & Kumar, C, A. (2024). Artificial intelligence in education: understanding benefits, limitations, and prospects for the future. International Journal for Multidisciplinary Research, 6(2), 1-9. https://doi.org/10.36948/ijfmr.2024.v06i02.16699
  • Baker, R.S. & Inventado, P.S. (2014). Educational data mining and learning analytics. In J. Larusson, & B. White (Eds.), Learning analytics (pp. 61-75). Springer. https://doi.org/10.1007/978-1-4614-3305-7_4
  • Benson, P., & Voller, P. (1997). Autonomy and independence in language learning. Routledge. https://doi.org/10.4324/9781315842172
  • Bølling, M., Pfister, G.U., Mygind ,E. & Nielsen, G. (2019). Education outside the classroom and pupils’ social relations? A one-year quasi-experiment. International Journal of Educational Research, 94, 29-41. https://doi.org/10.1016/j.ijer.2019.02.014
  • Braun, V. & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa
  • Brown, T. B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., & Amodei, D. (2020). Language models are few-shot learners. Advances in Neural Information Processing Systems, 33, 1877-1901. https://dl.acm.org/doi/abs/10.5555/3495724.3495883
  • Cardoso, L. (2019). Education, curriculum and technology landmarks: the renewed concept of the ''classroom of the future''. International Journal of Innovative Technology and Exploring Engineering, 9(1), 4876–4881. https://doi.org/10.35940/ijitee.A4705.119119
  • Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: a review. IEEE Access, 8, 75264-75278.
  • Chung, H.J. (2021). Singapore's physical education in the era of artificial intelligence: supports and strategies. Journal of Next-generation Convergence Information Services Technology, 10(6), 645–654. https://doi.org/10.29056/jncist.2021.12.05
  • Collard, P., & Looney, J.W. (2014). Nurturing creativity in education. European Journal of Education, 49, 348-364. https://doi.org/10.1111/ejed.12090
  • Creswell, J. W. (2012). Educational research: Planning, conducting and evaluating quantitative and qualitative research. Pearson.
  • Creswell, J. W. (2013). Qualitative ınquiry and research design choosing among five approaches. Sage.
  • Ding, L., Kim, C., & Orey, M. (2018). An exploratory study of student engagement in gamified online discussions. Computers in Education, 120, 213–226. https://doi.org/10.1016/j.compedu.2018.02.007
  • du Boulay, B. (2023). Artificial intelligence in education and ethics. In O. Zawacki-Richter & I. Jung, (Eds.), Handbook of open, distance and digital education. Springer. https://doi.org/10.1007/978-981-19-2080-6_6
  • Ermağan, E., & Ermağan, İ. (2022). Innovative technology and education: artificial intelligence and language learning in Turkey. Shanlax International Journal of Education, 11(S1), 201–209. https://doi.org/10.34293/education.v11iS1-Dec.6085
  • European Commission. (2021). Proposal for a regulation of the European Parliament and of the Council laying down harmonised rules on artificial intelligence (Artificial Intelligence Act) and amending certain Union legislative acts. EUR-Lex.
  • Handa, M. C. (2020). Examining students’ and teachers’ perceptions of differentiated practices, student engagement, and teacher qualities. Journal of Advanced Academics, 31, 530–568. https://doi.org/10.1177/1932202X20931457
  • Haseski, H.İ. (2019). What do Turkish pre-service teachers think about artificial intelligence? International Journal of Computer Science Education in Schools, 3(2), 3–23. https://doi.org/10.21585/ijcses.v3i2.55
  • Holmqvist, M. (2019). Lack of qualified teachers: A global challenge for future knowledge development. In R. B. Monyai (Ed.), Teacher education in the 21st century. IntechOpen. https://doi.org/10.5772/intechopen.83417
  • Hospel, V., & Galand, B. (2016). Are both classroom autonomy support and structure equally important for students' engagement? A multilevel analysis. Learning and Instruction, 41, 1-10. https://doi.org/10.1016/j.learninstruc.2015.09.001
  • İçen, M. (2022). The future of education utilizing artificial intelligence in Turkey. Humanities and Social Sciences Communications, 9, Article 268. https://doi.org/10.1057/s41599-022-01284-4
  • İşler, B., & Kılıç, M. (2021). The use and development of artificial intelligence in education. e-Journal of New Media, 5(1), 1-11. https://doi.org/10.17932/IAU.EJNM.25480200.2021/ejnm_v5i1001
  • Jobin, A., Ienca, M., & Andorno, R. (2019). Artificial intelligence: the global landscape of ai ethics guidelines. Nature Machine Intelligence, 1, 389-399. https://doi.org/10.1038/s42256-019-0088-2
  • Jumper, J., Evans, R., Pritzel, A., & et al. (2021). Highly accurate protein structure prediction with AlphaFold. Nature, 596, 583-589. https://doi.org/10.1038/s41586-020-2649-2
  • Karakuş, A. (2023). Social studies and artificial intelligence. International Journal of Eurasian Education and Culture, 24, 3079-3102. https://doi.org/10.35826/ijoecc.1813
  • Kartal, E. (2005). Information-communication technologies and the language teaching industry. Uludağ University Journal of Educational Faculty, 18(2), 383–393.
  • Kavitha, K. & Joshith, V. P. (2024). Pedagogical incorporation of artificial intelligence in K-12 science education: A decadal bibliometric mapping and systematic literature review (2013-2023). Journal of Pedagogical Research, 8(4), 437-465. https://doi.org/10.33902/JPR.202429218
  • Kendeou, P., & Johnson V. (2024). The nature of misinformation in education. Current Opinion in Psychology, 55, 101734. https://doi.org/10.1016/j.copsyc.2023.101734.
  • Khalil, O. (2024). Detection of brain tumor zones via artificial intelligence algorithms (Publication no. 847545) [Master’s thesis, İstanbul Yeni Yüzyıl University]. Council of Higher Education Thesis Center.
  • Kim, M., & Lee, E. A. (2012). Multidimensional analysis tool for visualizing online interactions. Educational Technology & Society, 15(3), 89–102.
  • Kristensen, F., Troeng, O., Safavi, M., & Narayanan, P. (2015). Competition in higher education – good or bad? Lund University.
  • Kukulska-Hulme, A. (2020). Mobile and personal learning for newcomers to a city. Electronic Journal of Foreign Language Teaching, 17(1), 93–10. https://doi.org/10.56040/agkh1717
  • Lakshmi, A. J., Kumar, A., Kumar, M. S., Patel, S. I., Naik, S. L., & Ramesh, J. V. N. (2023). Artificial intelligence in steering the digital transformation of collaborative technical education. The Journal of High Technology Management Research, 34(2), 100467. https://doi.org/10.1016/j.hitech.2023.100467
  • LeCun, Y., Bengio, Y., & Haffner, P. (2015). Gradient-based learning applied to document recognition. Proceedings of the IEEE, 86(11), 2278-2324. https://doi.org/10.1109/5.726791
  • Leta, F.& Vancea, D. P. C. (2023). Ethics in education: Exploring the ethical implications of artificial intelligence implementation. Ovidius University Annals, Economic Sciences Series, 23(1), 413–421. https://doi.org/10.61801/OUAESS.2023.1.54
  • Luckin, R., Holmes, W., Griffiths, M. & Forcier, L.B. (2016) Intelligence unleashed: An argument for AI in education. Pearson.
  • McCarthy, J. (1959). Programs with common sense. Stanford University.
  • Miles, M. B., Huberman, A. M., & Saldana, J. (2013). Qualitative data analysis: A methods sourcebook. Sage.
  • Mohaghegh, M. (2020). The role of artificial intelligence in the future of education. Interdisciplinary Journal of Virtual Learning in Medical Sciences, 11(1), 65–67. https://doi.org/10.30476/IJVLMS.2020.85472.1021
  • Mohamed, A. M., Shaaban, T.S., Bakry, S.H., Guillen-Gamez, F. D., & Strzelecki, A. (2024). Empowering the faculty of education students: applying ai’s potential for motivating and enhancing learning. Innovative Higher Education. Advance online publication. https://doi.org/10.1007/s10755-024-09747-z
  • Moser, A., & Korstjens, I. (2017). Series: Practical guidance to qualitative research. Part 3: Sampling, data collection and analysis. European Journal of General Practice, 24(1), 9–18. https://doi.org/10.1080/13814788.2017.1375091
  • Moustakas, C. (1994). Phenomenological research methods. Sage.
  • Ooi, S. X. & Cortina, K. S. (2023) Cooperative and competitive school climate: their impact on sense of belonging across cultures. Frontiers in Education, 8, 1113996. https://doi.org/10.3389/feduc.2023.1113996
  • Opesemowo, O. A. G., & Ndlovu, M. (2024). Artificial intelligence in mathematics education: The good, the bad, and the ugly. Journal of Pedagogical Research, 8(3), 333-346. https://doi.org/10.33902/JPR.202426428
  • Pisanu, F., & Menapace, P. (2014). Creativity & innovation: four key issues from a literature review. Creative Education, 5, 145-154. https://doi.org/10.4236/ce.2014.53023
  • Raya, M. J. (2013). Exploring pedagogy for autonomy in language education at university: possibilities and impossibilities. In M. Pérez Cañado (Eds.), Competency-based language teaching in higher education. Educational Linguistics (pp. 119–138). Springer. https://doi.org/10.1007/978-94-007-5386-0_8
  • Rind, M. A., Qudah, M.A., & Aliyev, P. (2024). Determining the Impact of Artificial Intelligence on Modernization of Education. 2024 IEEE 1st Karachi Section Humanitarian Technology Conference (KHI-HTC), 1-3. https://doi.org/10.1109/KHI-HTC60760.2024.10482021
  • Russell, S. J. & Norvig, P. (2016). Artificial intelligence: a modern approach. Pearson.
  • Schiff, D.S. (2020). Out of the laboratory and into the classroom: the future of artificial intelligence in education. AI & Society, 36, 331 - 348. https://doi.org/10.1007/s00146-020-01033-8
  • Sevnarayan, K. (2024). Exploring the dynamics of ChatGPT: Students and lecturers’ perspectives at an open distance e-learning university. Journal of Pedagogical Research, 8(2), 212-226. https://doi.org/10.33902/JPR.202426525
  • Sims, R. (2003). Promises of interactivity: aligning learner perceptions and expectations with strategies for flexible and online learning. Distance Education, 24, 87–103. https://doi.org/10.1080/01587910303050
  • Smith, K., & Hill, J. (2019). Defining the nature of blended learning through ıts depiction in current research. Higher Education Research & Development, 38, 383-397. https://doi.org/10.1080/07294360.2018.1517732
  • Statti, A., & Torres, K. M. (2020). Digital literacy: The need for technology integration and its impact on learning and engagement in community school environments. Peabody Journal of Education, 95(1), 90-100. https://doi.org/10.1080/0161956X.2019.1702426
  • Tanveer, M., Hassan, S., & Bhaumik, A. (2020). Academic policy regarding sustainability and artificial intelligence (AI). Sustainability, 12, 9435. https://doi.org/10.3390/su12229435
  • Timms, M. J. (2016). Letting artificial intelligence in education out of the box: educational cobots and smart classrooms. International Journal of Artificial Intelligence in Education, 26(2), 701-712. https://doi.org/10.1007/s40593-016-0095-y
  • Treffinger, D.J., Schoonover, P.F., & Selby, E.C. (2013). Educating for creativity and innovation: a comprehensive guide for research-based practice. Routledge. https://doi.org/10.4324/9781003234784
  • Turing, A. M. (1950). Computing machinery and intelligence. Mind, 59(236), 433-460. https://doi.org/10.1093/mind/LIX.236.433
  • Vellanki, S. S., Khan, Z. K., & Mond, S. (2024). Fostering learner autonomy through explicit metacognitive strategy instruction: A study in the Omani EFL context. Journal of Pedagogical Research, 8(4), 178-201. https://doi.org/10.33902/JPR.202428581
  • Yalabik, N. (1990). The effect of AI applications on graduate education in Turkey. In V. Mařík, O. Štěpánková, & Z. Zdráhal (Eds.), Artificial intelligence in higher education (Lecture Notes in Computer Science, Vol. 451, pp. 244–247). Springer. https://doi.org/10.1007/3-540-52952-7_30
  • Yang, J. C., Quadir, B., Chen, N.-S., & Miao, Q. (2016). Effects of online presence on learning performance in a blog-based online course. The Internet and Higher Education, 30, 11–20. https://doi.org/10.1016/j.iheduc.2016.04.002
  • Yao, F. & Weng, Z. (2024). Navigating the ethical terrain of AI in education: A systematic review on framing responsible human-centered AI practices. Computers and Education: Artificial Intelligence, 7, 100306. https://doi.org/10.1016/j.caeai.2024.100306
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