Open Access
Future Teachers' Perspectives on Generative Artificial Intelligence in Educational Settings: A Study Across Undergraduate and Master's Levels
4
Department of Teacher Education, University of Barcelona, Spain
4
Faculty of Education, National Taiwan Normal University, Taipei, Taiwan
Abstract
The rapid proliferation of generative artificial intelligence (GenAI) tools, such as large language models (LLMs), presents both unprecedented opportunities and significant challenges for the educational landscape. As these technologies become increasingly accessible, understanding the perceptions of future educators is crucial for effectively integrating GenAI into pedagogical practices and curriculum design. This article explores the nuanced views of undergraduate and master's-level teacher candidates regarding the benefits, challenges, ethical implications, and preparedness for utilizing GenAI in their prospective teaching careers. Drawing upon existing literature, this conceptual study outlines a framework for examining these perceptions, hypothesizing that while future teachers recognize the potential of GenAI for personalized learning and administrative tasks, they also express concerns about academic integrity, the potential for over-reliance, and the necessity for robust training. The insights garnered from such an exploration are vital for shaping teacher education programs, developing appropriate policies, and fostering a generation of educators equipped to navigate the evolving digital learning environment.
Keywords
Generative AI,
artificial intelligence,
education
References
Bonsu, E. M., & Baffour-Koduah, D. (2023). From the consumers’ side: determining students’ perception and intention to use ChatGPT in Ghanaian higher education. Journal of Education, Society & Multiculturalism, 4(1), 1–29. https://doi.org/10.2478/jesm-2023-0001
Chan, C. K. Y. (2025). Students’ perceptions of ‘AI-giarism’: investigating changes in understandings of academic misconduct. Education and Information Technologies, 30, 8087–8108. https://doi.org/10.1007/s10639-024-13151-7
Chan, C. K. Y., & Hu, W. (2023). Students’ voices on generative AI: Perceptions, benefits, and challenges in higher education. International Journal of Educational Technology in Higher Education, 20(1), 43. https://doi.org/10.1186/s41239-023-00411-8
Chan, C. K. Y., & Tsi, L. H. Y. (2024). Will generative AI replace teachers in higher education? A study of teacher and student perceptions. Studies in Educational Evaluation, 83, 101395. https://doi.org/10.1016/J.STUEDUC.2024.101395
Chan, C. K., & Zhou, W. (2023). Deconstructing student perceptions of generative AI (GenAI) through an Expectancy Value Theory (EVT)-based Instrument (2305.01186). arXiv. https://arxiv.org/abs/2305.01186
Crompton, H., & Burke, D. (2023). Artificial intelligence in higher education: the state of the field. International Journal of Educational Technology in Higher Education, 20(1), Article 22. https://doi.org/10.1186/s41239-023-00392-8
Dai, Y., Liu, A., & Lim, C. P. (2023). Reconceptualizing ChatGPT and generative AI as a student-driven innovation in higher education. Procedia CIRP, 119, 84–90. https://doi.org/10.1016/j.procir.2023.05.002
Dwivedi, Y. K., Kshetri, N., Hughes, L., et al. (2023). Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 71, 102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642
Elkhodr, M., Gide, E., Wu, R., & Darwish, O. (2023). ICT students’ perceptions towards ChatGPT: An experimental reflective lab analysis. STEM Education, 3(2), 70–88. https://doi.org/10.3934/steme.2023006
Felten, E. W., Raj, M., & Seamans, R. (2023). How will language modelers like ChatGPT affect occupations and industries? (4375268). SSRN. https://doi.org/10.2139/ssrn.4375268
Kasneci, E., Sessler, K., Küchemann, S., et al. (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
Lozano, A., & Blanco Fontao, C. (2023). Is the education system prepared for the irruption of artificial intelligence? a study on the perceptions of students of primary education degree from a dual perspective: current pupils and future teachers. Education Sciences, 13(7), 733. https://doi.org/10.3390/educsci13070733
Miao, F., Holmes, W. (2023). Guidance for generative AI in education and research. UNESCO.
Ngo, T. T. A. (2023). The perception by university students of the use of ChatGPT in education. International Journal of Emerging Technologies in Learning, 18(17), 4–19. https://doi.org/10.3991/ijet.v18i17.39019
Sabzalieva, E., & Valentini A. (2023). ChatGPT and Artificial Intelligence in higher education: Quick start guide. UNESCO.
Singh, H., Tayarani-Najaran, M. H., & Yaqoob, M. (2023). Exploring computer science students' perception of ChatGPT in higher education: A descriptive and correlation study. Education Sciences, 13(9), 924.
Walczak, K., & Cellary, W. (2023). Challenges for higher education in the era of widespread access to Generative AI. Economics and Business Review, 9(2), 71–100. https://doi.org/10.18559/ebr.2023.2.743
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101.
How to Cite
Dr. Sofia Alvarez, & Dr. Raymond J. Chen. (2025). Future Teachers’ Perspectives on Generative Artificial Intelligence in Educational Settings: A Study Across Undergraduate and Master’s Levels. Global Multidisciplinary Journal, 4(08), 1-8. https://www.grpublishing.org/journals/index.php/gmj/article/view/186
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