The rapid expansion of artificial intelligence (AI) is transforming educational systems globally, offering new possibilities for personalized learning, adaptive assessment, and teacher professional development. In India, this technological shift coincides with renewed policy and scholarly emphasis on Indian Knowledge Systems (IKS), which foreground holistic development, ethical education, and culturally rooted pedagogy. This paper examines the potential of integrating AI and IKS to reimagine school and teacher education in India in a manner that is technologically advanced yet philosophically grounded. Drawing on contemporary research on AI in education, teacher education, ethics, and indigenous knowledge integration, the paper develops a conceptual framework that positions AI as an enabling tool guided by the epistemological and ethical wisdom of IKS. The analysis explores implications for curriculum design, pedagogy, assessment, and teacher education, highlighting the roles of educators as facilitators, mentors, and moral guides in AI-rich learning environments. The paper further situates the discussion within the policy context of the National Education Policy 2020, while critically examining challenges related to equity, cultural dilution, data ethics, and teacher preparedness. It concludes by proposing a holistic, human-centered model for AI–IKS integration that emphasizes ethical grounding, inclusivity, capacity building, and community participation, envisioning an education system that is future-ready, culturally rooted, and value- based.
• Anwar, I., & Rathore, M. (2023). Digital pedagogy adoption in South Asia. European Journal of Educational Research, 12(4), 789–803.
• Crompton, H., Burke, D., Kinshuk, & Shrestha, P. (2024). Affordances and challenges of AI in K-12 education: A systematic review. Journal of Research on Technology in Education.
• Das, R., & Sen, A. (2022). Blended learning in rural Indian schools. Asia Pacific Journal of Education, 42(2), 125–139. https://doi.org/10.1080/02188791.2022.2039203
• Desimone, L.M. (2009).Improving impact studies of teachers’ professional development: Toward better conceptualizations and measures. Educational Researcher, 38(3), 181–199. https://doi.org/10.3102/0013189X08331140
• Dogan, B., Alhajj, R., & Abukwaik, D. (2025). Artificial intelligence professional development: A systematic review of TPACK, designs, and effects for teacher learning. Professional Development in Education.
• Garzón, J., Patiño, E., & Marulanda, C. (2025). Systematic review of artificial intelligence in education: trends, benefits, and challenges. Multimodal Technologies and Interaction, 9(8), 84. https://doi.org/10.3390/mti9080084
• Gupta, R., & Das, R. (2024). Curriculum reforms in emerging economies. Educational Philosophy and Theory, 56(6), 1435– 1448. https://doi.org/10.1080/00131857.2023.2168794
• Guskey, T. R. (2002). Professional development and teacher change. Teachers and Teaching: Theory and Practice, 8(3/4), 381–391. https://doi.org/10.1080/135406002100000512
• Ijatuyi, E. J., Lamm, A., Yessoufou, K., Suinyuy, T., & Patrick, H. O. (2025). Integration of indigenous knowledge with scientific knowledge: A systematic review. Environmental Science & Policy, 170, 104119. https://doi.org/10.1016/j.envsci.2025.10411
• Kumar, R., & Friesen, S. (2023). Culturally responsive pedagogy in teacher education. Journal of Teacher Education, 74(3), 295–310.
• Lee, H., Kim, H., & Yan, W. (2025). Promoting inclusive AI and technology in K-12 education: A review of context, instructional strategies, and learning outcomes. Computers & Education: Artificial Intelligence, 9, 100478. https://doi.org/10.1016/j.caeai.2025.100478
• Li, K., Wang, P., & Chen, G. (2025). How can AI be integrated into teacher professional development programs? A systematic review based on an adapted technology-based learning model. Teaching and Teacher Education, 168, 105219. https://doi.org/10.1016/j.tate.2025.105219
• Merino-Campos, C. (2025). The impact of artificial intelligence on personalized learning in higher education: A systematic review. Trends in Higher Education, 4(2), 17.
• https://doi.org/10.3390/higheredu4020017
• Moitra, P., & Madan, J. (2025). Stakeholder perspectives on integrating Ayurveda and Indian Indigenous Knowledge Systems into higher education: An exploratory study. Social Sciences & Humanities Open, 11, 101453. https://doi.org/10.1016/j.ssaho.2025.101453
• Okada, A., & Vaz, G. (2025, September 12). Rethinking AI in research with ancestral wisdom for future generations. UNESCO. Retrieved from https://www.unesco.org
• Ouyang, F., & Jiao, P. (2021). Artificial intelligence in education: The three paradigms. Computers & Education: Artificial Intelligence, 2, 100020. https://doi.org/10.1016/j.caeai.2021.100020
• Patel, L., & Gupta, N. (2021). Teacher beliefs and educational change in India. International Journal of Educational Development, 82, 102384. https://doi.org/10.1016/j.ijedudev.2021.102384
• Singh, T., & Verma, V. (2024). ICT and teacher professional development in India. International Journal of Information and Learning Technology, 41(3), 191– 205. https://doi.org/10.1108/IJILT-04-2023-0078
• Sperling, K., Stenberg, C.-J., McGrath, C., Åkerfeldt, A., Heintz, F., & Stenliden, L. (2024). In search of artificial intelligence (AI) literacy in teacher education: A scoping review. Computers & Education Open, 6, 100169. https://doi.org/10.1016/j.caeo.2024.100169
• Srinivasan, V., & Murthy, H. (2021). Improving reading and comprehension in K-12: Evidence from a large-scale AI technology intervention in India. Computers & Education: Artificial Intelligence, 2, 100019. https://doi.org/10.1016/j.caeai.2021.100019
• Tan, X., Cheng, G., & Ling, M. H. (2025). Artificial intelligence in teaching and teacher professional development: A systematic review. Computers & Education: Artificial Intelligence, 8, 100355. https://doi.org/10.1016/j.caeai.2024.100355
• Toppo, P. K. (2025). Artificial intelligence and the National Education Policy (NEP) 2020: A qualitative exploration of integration, opportunities, and challenges. International Journal of Advanced Research, 13(10), 1218–1221
• Tripathi, T., Sharma, S. R., Singh, V., Bhargava, P., & Raj, C. (2025). Teaching and learning with AI: A qualitative study on K-12 teachers’ use and engagement with artificial intelligence. Frontiers in Education, 10, 1651217. https://doi.org/10.3389/feduc.2025.1651217
• UNESCO. (2024). National Education Policy (NEP) 2020. UNESCO Policy Monitoring Platform. Retrieved from https://www.unesco.org/creativity/en/policy-monitoring- platform/national-education-policy-nep-2020
• Wang, A. (2025). Artificial intelligence as a catalytic mechanism: A theoretical framework and practical pathways for reshaping the industry–education integration ecosystem.Integration of Industry and Education Journal, 4(3), 1–20. https://doi.org/10.6914/iiej.040301
• Woltran, F., & Barcelos, G. (2024). Artificial intelligence in classroom discourse: A systematic review of the past decade. International Journal of Educational Research.
• Yang, Y.-F., Tseng, C.-C., & Lai, S.-C. (2024). Enhancing teachers’ self-efficacy beliefs in AI- based technology integration into English speaking teaching through a professional development program. Teaching and Teacher Education, 144, 104582. https://doi.org/10.1016/j.tate.2024.104582
Shivani , & Meenakshi Singh
262-270
10.5281/zenodo.19027104
Never miss any important news. Subscribe to our newsletter.