Reviving Gurukul Principles through Artificial Intelligence: A Comparative Study of Traditional and Digital Pedagogies
Author(s): Mrs. Madhu Priya
Publication #: 2512012
Date of Publication: 06.04.2025
Country: India
Pages: 1-6
Published In: Volume 11 Issue 2 April-2025
Abstract
The resurgence of interest in India’s traditional Gurukul education system has generated new questions about how its core pedagogical principles can be adapted to contemporary learning environments. This study explores the potential of Artificial Intelligence (AI) to revive and reinterpret Gurukul traditions within modern digital pedagogy. Using secondary data from academic literature, policy documents, and global EdTech research published up to 2024, the paper conducts a comparative analysis of traditional Gurukul methods and AI-driven learning models. The Gurukul system emphasized personalized mentorship, value-based education, experiential learning, and emotional development—all delivered through close interaction between guru and disciple. In contrast, AI-based pedagogy offers algorithmic personalization, adaptive content delivery, intelligent tutoring, and real-time feedback mechanisms.
The study identifies areas of convergence, such as individualized learning paths, immersive experiential environments enabled through VR/AR technologies, and data-driven mentorship that mirrors the guru–shishya dynamic. However, the analysis also highlights key divergences, particularly in emotional bonding, ethical reasoning, and holistic development—domains where human guidance remains irreplaceable. Findings suggest that while AI cannot replicate the spiritual or moral dimensions of Gurukul learning, it can significantly enhance access, scalability, and personalization in education. The paper concludes that a hybrid model, integrating AI tools with human mentorship, offers the most effective pathway for preserving ancient educational values while meeting the demands of twenty-first-century learners.
Keywords: Gurukul Education, Artificial Intelligence in Education, Digital Pedagogy, Personalized Learning, Comparative Study.
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