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International Journal of Research and Scientific Innovation (IJRSI)

Artificial Intelligence (AI) Enabled Indian Knowledge Systems (IKS) Digital Learning and Pedagogy Framework: A Systematic Review

byTribeni Saikia

Published June 3, 2026  •  Vol. 13, Issue 5, pp. 1189–1198Open Access
DOI: 10.51244/IJRSI.2026.1305000110

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

JournalInternational Journal of Research and Scientific Innovation (IJRSI)
ISSN2321-2705
Volume / IssueVolume 13, Issue 5
Pages1189–1198
Publication dateJune 3, 2026
DOI10.51244/IJRSI.2026.1305000110
PublisherRSIS International
LicenseOpen Access

How to cite this article

Tribeni Saikia (2026). Artificial Intelligence (AI) Enabled Indian Knowledge Systems (IKS) Digital Learning and Pedagogy Framework: A Systematic Review. International Journal of Research and Scientific Innovation (IJRSI), 13(5), 1189-1198. https://doi.org/10.51244/IJRSI.2026.1305000110

BibTeX

@article{Tribeni2026,
  title   = {Artificial Intelligence (AI) Enabled Indian Knowledge Systems (IKS) Digital Learning and Pedagogy Framework: A Systematic Review},
  author  = {Tribeni Saikia},
  journal = {International Journal of Research and Scientific Innovation (IJRSI)},
  volume  = {13},
  number  = {5},
  pages   = {1189--1198},
  year    = {2026},
  doi     = {10.51244/IJRSI.2026.1305000110},
  publisher = {RSIS International}
}