A Research-Backed EdTech Evaluation Index, Designed with IITs, to Promote Evidence-Based and Quality-Led Adoption of Digital Learning Solutions
EdTech Tulna provides independent and rigorous assessments of EdTech and AI-powered solutions, empowering governments, investors, and product companies to confidently make informed, evidence-based decisions.
Tulna (Sanskrit: "to compare") was conceptualised in 2021 to address a fundamental problem: the EdTech market was growing rapidly, but no credible, independent standard existed to evaluate what actually works, for whom, and under what conditions. EdTech Tulna is a research project hosted at the Wadhwani School of Data Science and Artificial Intelligence at IIT Madras.
As generative AI is embedded in digital learning products, no procurement-grade standards exist to evaluate their safety and pedagogical rigour. EdTech Tulna is an EdTech evaluation index supporting government procurement of quality EdTech and AI-powered learning solutions for public schools.
Turning Standards into Action, Across the Ecosystem
- EdTech Tulna Framework with 50+ criteria to evaluate AI-powered and conventional EdTech solutions on 3 dimensions (C-P-T)
- Across PAL, Smart Classrooms, Digital Libraries and more
- Giving companies a credible quality signal and actionable CPT-level feedback
- Increasingly, evaluations include AI-powered EdTech solutions assessed against AI-specific criteria
- Trained state-nominated in-house evaluation panels in Haryana, AP, UP and Odisha
- Building systemic capacity to assess quality of EdTech solutions
- MEST (Ghana)
- Nogales+ (Colombia)
- ShikshaNext (India)