Artificial Intelligence (AI) Enabled Indian Knowledge Systems (IKS) Digital Learning and Pedagogy Framework: A Systematic Review
Authors
Department of Education, Mahapurusha Srimanta Sankaradeva Vishwavidyalaya, Assam (India)
Article Information
DOI: 10.51244/IJRSI.2026.1305000110
Subject Category: Education
Volume/Issue: 13/5 | Page No: 1189-1198
Publication Timeline
Submitted: 2026-05-07
Accepted: 2026-05-12
Published: 2026-06-03
Abstract
This systematic review examines the integration of Artificial Intelligence (AI) and Indian Knowledge Systems (IKS) in digital learning and pedagogy. Guided by PRISMA 2020 and systematic mapping methods, the study reviewed 135 studies published between 2015 and 2026. The findings show that AI tools such as adaptive learning, intelligent tutoring systems, natural language processing, generative AI, and learning analytics can support the digitization, preservation, and dissemination of IKS. The review highlights the potential of AI–IKS frameworks for multilingual learning, culturally responsive pedagogy, ethical AI, inclusive education, and personalized learning. However, challenges such as digital divide, teacher readiness, algorithmic bias, and limited representation of Indian languages remain significant. The study concludes that AI-enabled IKS frameworks can promote a balanced, culturally rooted, ethical, and technology-supported model of education.
Keywords
Artificial Intelligence, Indian Knowledge Systems; Digital Learning, Digital Pedagogy
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References
1. Bender, E. M., Gebru, T., McMillan-Major, A., & Shmitchell, S. (2021). On the dangers of stochastic parrots: Can language models be too big? Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, 610–623. [Google Scholar] [Crossref]
2. Bhattacharya, S. (2022). Digitization of Indian knowledge traditions in the age of artificial intelligence. Journal of Educational Technology and Heritage Studies, 8(2), 45–59. [Google Scholar] [Crossref]
3. Bond, M., Marín, V. I., Dolch, C., Bedenlier, S., & Zawacki-Richter, O. (2021). Digital transformation in German higher education: Student and teacher perceptions. International Journal of Educational Technology in Higher Education, 18(1), 1–24. [Google Scholar] [Crossref]
4. Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. IEEE Access, 8, 75264–75278. [Google Scholar] [Crossref]
5. Gay, G. (2018). Culturally responsive teaching: Theory, research, and practice (3rd ed.). Teachers College Press. [Google Scholar] [Crossref]
6. Government of India. (2020). National Education Policy 2020. Ministry of Education. [Google Scholar] [Crossref]
7. Holmes, W., Bialik, M., & Fadel, C. (2022). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign. [Google Scholar] [Crossref]
8. Ifenthaler, D., & Yau, J. Y.-K. (2020). Utilising learning analytics for study success: Reflections on current empirical findings. Research and Practice in Technology Enhanced Learning, 15(1), 1–17. [Google Scholar] [Crossref]
9. Joshi, P., & Rao, M. (2024). Multilingual artificial intelligence and inclusive education in India: Opportunities and challenges. International Journal of Digital Learning, 12(1), 88–104. [Google Scholar] [Crossref]
10. Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., 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 [Google Scholar] [Crossref]
11. Kulik, J. A., & Fletcher, J. D. (2016). Effectiveness of intelligent tutoring systems. Review of Educational Research, 86(1), 42–78. [Google Scholar] [Crossref]
12. Kumar, R., & Singh, T. (2024). Ethical artificial intelligence through indigenous philosophical frameworks: An Indian perspective. AI and Society Review, 6(1), 22–39. [Google Scholar] [Crossref]
13. Luckin, R., & Cukurova, M. (2019). Designing educational technologies in the age of AI: A learning sciences-driven approach. British Journal of Educational Technology, 50(6), 2824–2838. https://doi.org/10.1111/bjet.12861 [Google Scholar] [Crossref]
14. Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson. [Google Scholar] [Crossref]
15. Ma, W., Adesope, O., Nesbit, J., & Liu, Q. (2014). Intelligent tutoring systems and learning outcomes: A meta-analysis. Journal of Educational Psychology, 106(4), 901–918. [Google Scholar] [Crossref]
16. Ministry of Education. (2020). National Education Policy 2020. Government of India. [Google Scholar] [Crossref]
17. Ministry of Education. (2021). Indian Knowledge Systems Division initiatives. Government of India. [Google Scholar] [Crossref]
18. Mishra, P., & Koehler, M. J. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers College Record, 108(6), 1017–1054. [Google Scholar] [Crossref]
19. Mishra, V. (2021). Integrating Indian pedagogical wisdom with adaptive learning technologies. Contemporary Education Review, 15(3), 112–129. [Google Scholar] [Crossref]
20. OECD. (2021). OECD digital education outlook 2021: Pushing the frontiers with AI, blockchain and robots. OECD Publishing. [Google Scholar] [Crossref]
21. Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., et al. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71 [Google Scholar] [Crossref]
22. Pane, J. F., Steiner, E. D., Baird, M. D., & Hamilton, L. S. (2015). Continued progress: Promising evidence on personalized learning. RAND Corporation. [Google Scholar] [Crossref]
23. Patel, D. (2023). Sustainability education through AI and traditional knowledge systems. Journal of Global Education Futures, 9(4), 67–81. [Google Scholar] [Crossref]
24. Petersen, K., Feldt, R., Mujtaba, S., & Mattsson, M. (2008). Systematic mapping studies in software engineering. In Proceedings of the 12th International Conference on Evaluation and Assessment in Software Engineering (pp. 68–77). [Google Scholar] [Crossref]
25. Radhakrishnan, S. (1929). Indian philosophy (Vol. 1). Oxford University Press. [Google Scholar] [Crossref]
26. Reddy, S., & Narayanan, K. (2024). Hybrid pedagogical models in emerging economies: Artificial intelligence and indigenous knowledge systems. International Review of Smart Education, 11(2), 141–160. [Google Scholar] [Crossref]
27. Roll, I., & Wylie, R. (2016). Evolution and revolution in artificial intelligence in education. International Journal of Artificial Intelligence in Education, 26(2), 582–599. [Google Scholar] [Crossref]
28. Selwyn, N. (2019). Should robots replace teachers? AI and the future of education. Polity Press. [Google Scholar] [Crossref]
29. Sharma, A., & Bhatnagar, L. (2023). Culturally responsive digital pedagogy through AI-enabled indigenous frameworks. Journal of Comparative Education Innovation, 10(3), 73–91. [Google Scholar] [Crossref]
30. Tlili, A., Shehata, B., Adarkwah, M. A., et al. (2023). What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education. Smart Learning Environments, 10(1), 15. [Google Scholar] [Crossref]
31. UNESCO. (2021). AI and education: Guidance for policy-makers. UNESCO. [Google Scholar] [Crossref]
32. Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education: Where are the educators? International Journal of Educational Technology in Higher Education, 16(39), 1–27. https://doi.org/10.1186/s41239-019-0171-0 [Google Scholar] [Crossref]
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