Transforming Classrooms with AI: A Rethink on India's STEM Revolution Catalysts and Contradictions: AI, Equity, and the Future of STEM in India

Catalysts and Contradictions: AI, Equity, and the Future of STEM in India

- PROF. RAGHAVENDRA P. TIWARI

India's developmental ambitions, epitomized by the vision of a developed nation, are inextricably linked to the effective integration of Science, Technology, Engineering, and Mathematics (STEM) education with frontier technologies such as Artificial Intelligence (AI). While India boasts one of the world's largest pools of STEM graduates and a demographic dividend skewed towards youth, these advantages risk remaining notional unless underpinned by sustained investments in quality, contextual relevance, and ethical governance of AI-driven pedagogy.

The critical issue, therefore, is not simply the adoption of AI in education, but rather how inclusively, equitably, and ethically AI is being embedded within India's heterogeneous educational landscape.

Despite a proliferation of policy pronouncements and pilot initiatives, the mainstreaming of AI in STEM education is beset by persistent disparities. Digital access remains uneven, with infrastructure deficits particularly acute in rural and marginal geographies. Faculty preparedness and pedagogical innovation, raising concerns about the capacity of mentors to meaningfully integrate AI tools into the classroom environment.

Moreover, curriculum reform has often been incremental and fragmented, failing to keep pace with the rapidly evolving demands of the knowledge economy. These structural impediments threaten to reproduce, rather than redress, existing inequities—risking a scenario in which AI-enabled learning becomes the prerogative of the privileged.

A critical assessment of India's AI-STEM interface must therefore move beyond celebratory narratives of technological leapfrogging to engage with the deeper structural and normative conditions shaping this transition. Policy frameworks must foreground issues of access, affordability, and cultural relevance, ensuring that AI integration does not exacerbate social and educational divides.