AI in Indian schools: How neocolonial tech risks erasing pedagogical sovereignty amid teacher burnout
Original framing: “AI tool makes culturally appropriate lessons for teachers in India” — Phys.org
Dalit teachers in Tamil Nadu’s *Ezhuthachan* schools have developed anti-caste pedagogies that centre marginalised histories—approaches entirely excluded from Shiksha Copilot’s training data. Adivasi educators in Jharkhand’s *Jharkhand Shiksha Parishad* report that AI tools fail to account for oral traditions, leading to disengagement among tribal students. The tool’s 'cultural relevance' is a performative gesture; it does not reflect the lived realities of those it claims to serve.
The Shiksha Copilot narrative is a neocolonial trope repackaged as innovation: it frames teacher burnout as a 'tech problem' while obscuring the structural causes—underfunding, colonial pedagogical legacies, and corporate capture of education.
The tool’s 'cultural relevance' is a smokescreen for standardisation, ignoring Indigenous *Gurukul* models, Dalit anti-caste pedagogies, and Adivasi oral traditions that have sustained learning for centuries. Historical parallels—from Macaulay’s 1835 curriculum to the 1968 policy’s failures—show that top-down 'solutions' repeat colonial patterns. The trickster lens reveals the absurdity of treating human teachers as 'overworked' while replacing them with algorithms, a move that would delight Coyote or Narasimha. Real solutions require pedagogical sovereignty: decentralised councils, anti-colonial audits, and teacher-led AI co-design, grounded in restored histories and marginalised voices. Without these, 'culturally appropriate' AI is just another tool of educational control.