Artificial Intelligence in Pedagogy: Complementarity versus Replacement of Human Educators


Published: Sep 18, 2026
Keywords:
Artificial Intelligence Education Philosophy of Education Human Teachers Hybrid Learning Ethics of AI Critical Pedagody
Ravi Kumar
Madhu Mangal Chaturvedi
Reena Kumari
Abstract

This paper examines the philosophical and pedagogical implications of integrating artificial intelligence (AI) into education. While AI tutors demonstrate significant strengths in personalization, scalability, and real-time feedback, they cannot replicate the emotional intelligence, moral formation, and cultural transmission that human teachers provide. Drawing on perspectives from Dewey's pragmatism, Freire's critical pedagogy, Noddings' ethics of care, and contemporary debates on AI ethics, the study highlights the irreplaceable human dimensions of education, including empathy, dialogue, and community-building. Global case studies from China, India, the United States, and Finland illustrate both the promise and risks of AI adoption in classrooms. The analysis concludes that the future of education lies not in replacing teachers but in developing hybrid models where AI complements human educators. Such a vision requires robust ethical guidelines, human-centered design, and policies ensuring equity, transparency, and accountability. Ultimately, education must remain anchored in its humanistic mission: the cultivation of persons and communities capable of flourishing in an AI-driven society.

Article Details
  • Section
  • Articles
Downloads
Download data is not yet available.
References
Arendt, H. (2006). The crisis in education. In Between past and future (pp. 170-193). Penguin. (Original work published 1954)
Banerjee, A. V., Cole, S., Duflo, E., & Linden, L. (2017). Remedying education: Evidence from two randomized experiments in India. The Quarterly Journal of Economics, 122(3), 1235-1264.
Benjamin, R. (2019). Race after technology: Abolitionist tools for the new Jim code. Polity Press.
Biesta, G. (2010). Good education in an age of measurement: Ethics, politics, democracy. Routledge.
Biesta, G. (2017). The rediscovery of teaching. Routledge.
Carr, D. (2003). Making sense of education: An introduction to the philosophy and theory of education and teaching. Routledge.
Dewey, J. (2008). Democracy and education: An introduction to the philosophy of education. WLC Books. (Original work published 1916)
Dewey, J. (1997). Experience and education. Free Press. (Original work published 1938)
Dignum, V. (2019). Responsible artificial intelligence: Developing and using AI in a responsible way. Springer.
Freire, P. (2000). Pedagogy of the oppressed (30th anniversary ed.). Bloomsbury Academic. (Original work published 1970)
Goleman, D. (1995). Emotional intelligence. Bantam Books.
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.
Holmes, W., Porayska-Pomsta, K., Holstein, K., Sutherland, E., Baker, T., Shum, S. B., Santos, O. C., & Bittencourt, I. I. (2021). Ethics of AI in education: Towards a community-wide framework. International Journal of Artificial Intelligence in Education, 31(4), 1055-1076.
Kohlberg, L. (1981). The philosophy of moral development: Moral stages and the idea of justice. Harper & Row.
Kurzweil, R. (2005). The singularity is near: When humans transcend biology. Viking.
Long, D., & Magerko, B. (2020). What is AI literacy? Competencies and design considerations. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 1-16.
Luckin, R. (2018). Machine learning and human intelligence: The future of education for the 21st century. UCL Institute of Education Press.
Noddings, N. (2013). Caring: A relational approach to ethics and moral education (2nd ed.). University of California Press.
Nussbaum, M. C. (2011). Creating capabilities: The human development approach. Belknap Press.
Pane, J. F., Steiner, E. D., Baird, M. D., & Hamilton, L. S. (2015). Continued progress: Promising evidence on personalized learning. RAND Corporation.
Peters, R. S. (1966). Ethics and education. George Allen & Unwin.
Popenici, S. A. D., & Kerr, S. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning, 12(22), 1-13.
Rawls, J. (1971). A theory of justice. Harvard University Press.
Rogers, C. (1969). Freedom to learn. Merrill.
Salovaara, J., & Rantala, T. (2021). AI in Finnish education: Human-centered policies and practices. European Journal of Education, 56(1), 55-69.
Searle, J. R. (2010). Making the social world: The structure of human civilization. Oxford University Press.
Selwyn, N. (2019). Should robots replace teachers? AI and the future of education. Polity Press.
Skinner, B. F. (2019). The science of learning and the art of teaching. B.F. Skinner Foundation. (Original work published 1954)
Tan, C., & Koh, K. (2022). Curriculum innovations for future-ready learners: Lessons from Singapore. Journal of Curriculum Studies, 54(1), 89-106.
Triantari, S. (2024). From coaching to mentor leader: Profile and skills of the mentor leader in human resources management. Dia-noesis: A Journal of Philosophy, 15, 103-122. https://doi.org/10.12681/dia.38176
Triantari, S., & Tzimas, G. (2026). The Limits of Algorithmic Decision-Making: Phronesis as the Measure of Leadership Judgement in Educational Administration. Dia-noesis: A Journal of Philosophy, 19(1), 277-300. https://doi.org/10.12681/dia.45803
UNESCO. (2021). Recommendation on the ethics of artificial intelligence. UNESCO.
Vallor, S. (2016). Technology and the virtues: A philosophical guide to a future worth wanting. Oxford University Press.
Vavouras, E., Koliopoulou, M., & Manolis, K. (2024). From Participatory Leadership to Digital Transformation under the interpretation of Political Philosophy: Types of Leadership in Education and School Administration. Dia-noesis: A Journal of Philosophy, 15, 153-170. https://doi.org/10.12681/dia.38171
Williamson, B., & Piattoeva, N. (2022). Education governance and datafication. European Educational Research Journal, 21(1), 85-103.
Zhai, X., Wang, M., & Ghani, U. (2021). The effectiveness of Squirrel AI's intelligent tutoring system: Evidence from Chinese classrooms. Computers & Education, 163, 104-094.