Graduate-Level Training and Its Impact on Teachers’ Use of AI Technologies In the Classroom
DOI:
https://doi.org/10.5281/zenodo.20119002Keywords:
Artificial Intelligence, AI Integration, Graduate-Level Training, Teaching Practices, Educational Technology, Teacher DevelopmentAbstract
Artificial Intelligence (AI) is rapidly transforming the educational landscape by enhancing instructional practices, supporting personalized learning, and improving teaching efficiency. As these technologies become increasingly integrated into classrooms, the role of teacher preparation—particularly through graduate-level training—has gained significant importance. This study examines the influence of graduate-level training on teachers’ integration of Artificial Intelligence (AI) technologies in classroom instruction. A quantitative descriptive-correlational research design was employed, involving 30 teachers who were simultaneously engaged in graduate studies and active teaching. Data were collected using a structured questionnaire and analyzed through descriptive statistics, t-test, and Pearson’s correlation coefficient. Findings revealed that teachers demonstrated a moderate level of AI integration, primarily utilizing AI tools for lesson planning and instructional support rather than for assessment or full classroom implementation. Innovative teaching practices and the perceived influence of graduate training were also rated at a moderate level. Teachers reported moderate challenges, particularly in terms of limited training opportunities, restricted access to AI technologies, and uncertainty regarding their effective use in instructional contexts. The results further indicated no significant difference in AI integration when teachers were grouped according to graduate level. However, a statistically significant moderate positive relationship was found between graduate-level training and AI integration, suggesting that advanced education enhances teachers’ technological competence and confidence. The study concludes that while graduate-level training supports AI integration, effective implementation requires continuous professional development, access to resources, and strong institutional support.
References
Alshammari, S. H., Alrashidi, M. E., Alshammari, M. H., Alshammari, A. E. A., & Alkhwaldi, A. F. (2025). Determinants of student adoption of artificial intelligence applications in higher education. Scientific Reports, 15(13), 35921. https://doi.org/10.1038/s41598-025-19851-5
Alzakwani, M. H. H., Zabri, S. M., & Ali, R. R. (2025). Enhancing university teaching and learning through the integration of artificial intelligence in information and communication technology. Edelweiss Applied Science and Technology, 9(1), 1345–1357. https://doi.org/10.55214/25768484.v9i1.4647
Anselmo, C. T. ., Bete-Liban, A. ., Ollero, J. C. ., Baui, D. T. ., Pascua, J. J. S. ., & Sario, Y. A. . (2025). Role of AI in Enhancing Critical Thinking in Science Education: Challenges and Opportunities for Science Instructors. International Journal of Multidisciplinary: Applied Business and Education Research, 6(8), 3877-3891. https://doi.org/10.11594/ijmaber.06.08.12
Anselmo, C., Cahigas, J., Cabacungan, M., & Tolentino, J. (2026). Teachers' awareness and readiness to implement the DepEd artificial intelligence guidelines in basic education. The International Review of Multidisciplinary Research, 1(3), 145–152. https://doi.org/10.5281/zenodo.18979842
Anselmo, C. T., Foronda, M. S., & Dumelod, D. A. (2025). Smart tools, smarter minds: AI in the science classroom for critical thinking and problem solving In AI innovations in education: Transforming teaching and learning beyond traditional boundaries (pp. 82). Future Science Press. https://www.fsh-publication.com/storage/file/978-621-8438-17-0.pdf
Bidry, M., Hanine, M., Ouaguid, A., & Obidallah, W. J. (2025). Transforming Education with Generative AI: A Comprehensive Review of Advancements, Challenges, and Future Opportunities. IEEE Access, 13, 202938–202955. https://doi.org/10.1109/access.2025.3636891
Damrongpanit, S., Chamrat, S., & Manokarn, M. (2023). The development of skills and awareness in integrating content, teaching methods, and technology in learning management for teachers in the Education Sandbox, Thailand. International Journal of ADVANCED AND APPLIED SCIENCES, 10(11), 202–212. https://doi.org/10.21833/ijaas.2023.11.025
Dinçer, S. (2024). Bridging the gap in technology integration in education: An examination of science teachers’ competencies and needs. Journal of Turkish Science Education, 21(4), 620–634. https://doi.org/10.36681/tused.2024.033
Hazzan-Bishara, A., Kol, O., & Levy, S. (2025). Factors affecting teachers’ adoption of AI technologies: A unified model of external and internal determinants. Education and Information Technologies, 30(11), 15043–15069. https://doi.org/10.1007/s10639-025-13393-z
Hussein, E., Hussein, M., & Al-Hendawi, M. (2025). Investigation into the Applications of Artificial Intelligence (AI) in Special Education: A Literature Review. Social Sciences, 14(5), 288. https://doi.org/10.3390/socsci14050288
Plevris, V., & Hosamo, H. (2025). Responsible AI in structural engineering: A framework for ethical use. Frontiers in Built Environment, 11. https://doi.org/10.3389/fbuil.2025.1612575
Pratiwi, H., Riwanda, A., Hasruddin, H., Sujarwo, S., & Syamsudin, A. (2025). Transforming learning or creating dependency: Teachers’ perspectives and barriers to AI integration in education. Journal of Pedagogical Research. https://doi.org/10.33902/jpr.202531677
Rony, M. K. K., Ahmad, S., Tanha, S. M., Das, D. C., Akter, M. R., Khatun, M. A., Begum, M. H., Khalil, M. I., Peu, U. R., Parvin, M. R., Alrazeeni, D. M., & Akter, F. (2025). Nursing Educators’ Perspectives on the Integration of Artificial Intelligence into Academic Settings. SAGE Open Nursing, 11, 23779608251342931. https://doi.org/10.1177/23779608251342931
Rowston, K., Bower, M., & Woodcock, S. (2021). The impact of prior occupations and initial teacher education on post-graduate pre-service teachers’ conceptualization and realization of technology integration. International Journal of Technology and Design Education, 32(5), 2631–2669. https://doi.org/10.1007/s10798-021-09710-5
Salas-Pilco, S., Xiao, K., & Hu, X. (2022). Artificial Intelligence and Learning Analytics in Teacher Education: A Systematic Review. Education Sciences, 12(8), 569. https://doi.org/10.3390/educsci12080569
Şimşek, A. S., Cengiz, G. Ş. T., & Bal, M. (2025). Extending the TAM framework: Exploring learning motivation and agility in the educational adoption of generative AI intelligence Education and Information Technologies, 30(15), 20913–20942. https://doi.org/10.1007/s10639-025-13591-9
Stošić, L., Radonjić, A., Krčadinac, O., Baltezarević, B., & Mikhailova, O. (2025). Personalized Learning through Artificial Intelligence: Opportunities, Risks, and Policy Perspectives. International Journal of Cognitive Research in Science, Engineering and Education (IJCRSEE), 13(2), 541–549. https://doi.org/10.23947/2334-8496-2025-13-2-541-549
Tohănean, D. I., Vulpe, A. M., Mijaica, R., & Alexe, D. I. (2025). Embedding Digital Technologies (AI and ICT) into Physical Education: A Systematic Review of Innovations, Pedagogical Impact, and Challenges. Applied Sciences, 15(17), 9826. https://doi.org/10.3390/app15179826
Tseng, Y.-C., & Lin, Y.-H. (2025). Enhancing digital competency in EFL teacher education: Investigating graduate-level student teachers’ design and implementation of digital materials. Research and Practice in Technology Enhanced Learning, 21, 012. https://doi.org/10.58459/rptel.2026.21012
V G, A. L., & N S, P. K. (2025). Generative Artificial Intelligence in Enhancing English Language Skills: A Systematic Review. Studies in Media and Communication, 13(4), 256. https://doi.org/10.11114/smc.v13i4.7763
