@article{muralidharan_disrupting_2019, title = {Disrupting education? {Experimental} evidence on technology-aided instruction in {India}}, volume = {109}, issn = {0002-8282}, shorttitle = {Disrupting {Education}?}, url = {https://www.aeaweb.org/articles?id=10.1257/aer.20171112}, doi = {10.1257/aer.20171112}, 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 with free access to the program. Lottery winners scored 0.37 sigma higher in math and 0.23 sigma 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 0.6 sigma and 0.39 sigma 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.}, language = {en}, number = {4}, urldate = {2020-03-30}, journal = {American Economic Review}, author = {Muralidharan, Karthik and Singh, Abhijeet and Ganimian, Alejandro J.}, month = apr, year = {2019}, note = {shortDOI: 10/ggqfkz KerkoCite.ItemAlsoKnownAs: 10.1257/aer.20171112 10/ggqfkz 2339240:2URYXAL4 2339240:4YAVCBCF 2339240:7V3XB7ZJ 2339240:8LAH5EZS 2339240:FPI5PFGU 2339240:QRHQXRYZ 2339240:U2V8LTLL 2339240:V85IRLNH 2405685:7WM44UJQ 2405685:AJVTKPNE 2405685:EKZSBGYG 2405685:EWWJF7S6 2405685:EZDRM9UV 2405685:HDWKAHGN 2405685:MADAMGDT 2405685:N2HAMNQ9 2405685:SYASQJ2L 2405685:YFXKBCTF 2534378:JMN7CGMF}, keywords = {Analysis of Education, Returns to Education, Education: Government Policy, Human Capital, Human Development, Income Distribution, Labor Productivity, Economic Development: Human Resources, Migration, Occupational Choice, Quality: H, Relevance: H, Skills, \_THEME: Teacher Professional Development, \_\_\_working\_potential\_duplicate, ⛔ No DOI found}, pages = {1426--1460}, }