text more text American Economic Review (Accepted September 2018) yet more text the final word Disrupting Education? Experimental Evidence on Technology-Aided Instruction in India Karthik Muralidharan and Abhijeet Singh and Alejandro J.Ganimian∗ September 17, 2018 Abstract We study the impact of a personalized technology-aided after-school instruction program in middle-school grades in urban India using a lottery that provided winners free access to the program. Lottery winners scored 0.37σ higher in math and 0.23σ higher in Hindi over just a 4.5-month period. IV estimates suggest that attending the program for 90 days would increase math and Hindi test scores by 0.6σ and 0.39σ respectively. We find similar absolute test score gains for all students, but much greater relative gains for academically-weaker students. Our results suggest that well-designed technology-aided instruction programs can sharply improve productivity in delivering education. JEL codes: C93, I21, J24, O15 Keywords: computer-aided learning, productivity in education, personalized learning, teaching at the right level, post-primary education, middle school, secondary school ∗Muralidharan: Department of Economics, University of California San Diego; NBER; J-PAL. E- mail:
[email protected]. Singh: Department of Economics, Stockholm School of Economics. E-mail:
[email protected]. Ganimian: NYU Steinhardt School of Culture, Education, and Human Development; E-mail:
[email protected]. We thank Esther Duflo (the editor), Abhijit Banerjee, James Berry, Peter Bergman, Prashant Bharadwaj, Gordon Dahl, Roger Gordon, Heather Hill, Priya Mukherjee, Chris Walters and several seminar participants for comments. We thank the staff at Educational Initiatives (EI)|especially, Pranav Kothari, Smita Bardhan, Anurima Chatterjee, and Prasid Sreeprakash|for their support of the evaluation.