Artificial Intelligence (AI) Role in Educator Evolution: Opportunities and Challenges for the Modern Teacher
DOI:
https://doi.org/10.31305/rrijm.2025.v10.n7.031Keywords:
Artificial Intelligence (AI), Educator Evolution, Modern Teacher, Personalized Learning, Adaptive Learning, Educational TechnologyAbstract
This research article explores the transformative role of Artificial Intelligence (AI) in the evolution of the modern teacher, examining both the significant opportunities it presents and the inherent challenges that must be addressed. AI holds immense potential to revolutionize educational practices by enabling personalized learning experiences, automating administrative tasks, providing intelligent tutoring systems, and offering real-time feedback. It can enhance student engagement, support diverse learning needs, and free up educators to focus on higher-order teaching functions like fostering critical thinking, creativity, and socio-emotional development. However, the integration of AI also brings forth critical challenges, including concerns about data privacy and security, algorithmic bias, the potential for over-reliance on technology, maintaining human interaction, the need for adequate teacher training, and ensuring equitable access. This paper synthesizes current research to provide a comprehensive overview of AI's impact on teaching pedagogy, aiming to inform educators, policymakers, and developers on how to harness AI's benefits while mitigating its risks for a more effective and inclusive educational future.
References
Akavova, P., Bence, M., Charalambous, P., Furlong, C., Goodlad, S., Hadjipantelis, C., ... & Valenzuela, E. (2023). Artificial Intelligence, Human Rights, Democracy, and the Rule of Law: A Toolkit for Educators. Council of Europe Publishing.
Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. IEEE Access, 8, 75264-75278.
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), 1-22.
Foltynek, T., & Komárek, M. (2023). Generative AI in education: A literature review of opportunities and challenges. International Journal of Educational Technology in Higher Education, 20(1), 1-24.
Holmes, W., Persson, J., & Miao, F. (2019). Artificial intelligence in education: Promises and perils for developing countries. UNESCO.
Hwang, G. J., Xie, H., Wah, B. W., & Gašević, D. (2020). Guest editorial: Advances in artificial intelligence in education—From smart learning to human-centered AI. Computers & Education, 154, 103921.
Miao, F., Holmes, W., Huang, R., & Zhang, H. (2021). AI and education: Guidance for policy-makers. UNESCO.
Popenici, S. A. D., & Kerr, S. (2017). Exploring the impact of artificial intelligence on teasching and learning in higher education. Research and Practice in Technology Enhanced Learning, 12(1), 1-17.
UNESCO. (2025). Artificial Intelligence and Education: Guidance for Policy-Makers. (Forthcoming or current guidance documents from UNESCO's AI in Education program).
U.S. Department of Education, Office of Educational Technology. (2023). Artificial Intelligence and the Future of Teaching and Learning: A Blueprint for Educators and Policymakers. Washington, D.C.
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education—Where is the evidence from and what has been studied? International Journal of Educational Technology in Higher Education, 16(1), 1-27.
Zhao, J., Han, X., & Lv, Y. (2023). The opportunities and challenges of AI in education: A review of the state-of-the-art. Education and Information Technologies, 28(1), 123-145.
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
This is an open access article under the CC BY-NC-ND license Creative Commons Attribution-Noncommercial 4.0 International (CC BY-NC 4.0).
