Disrupting Education? Experimental Evidence on Technology-Aided Instruction in India

Arbeitspapier

We present experimental evidence on the impact of a technology-aided after-school instruction program on learning outcomes in middle school grades in urban India, using a lottery that provided students with a voucher to cover program costs. A key feature of the program was its ability to individually customize educational content to match the level and rate of progress of each student. We find that lottery winners had large increases in test scores of 0.36ó in math and 0.22ó 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 0.59ó and 0.36ó respectively. We find similar absolute test score gains for all students, but the relative gain was much greater for academically-weaker students because their rate of learning in the control group was close to zero. We show that the program was able to effectively cater to the very wide variation in student learning levels within a single grade by precisely targeting instruction to the level of student preparation. The program was highly cost-effective, both in terms of productivity per dollar and unit of time. Our results suggest that well-designed technology-aided instruction programs can sharply improve productivity in delivering education.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: CESifo Working Paper ; No. 6328

Classification and Topics

• Classification: Wirtschaft ; Field Experiments ; Analysis of Education ; Human Capital; Skills; Occupational Choice; Labor Productivity ; Economic Development: Human Resources; Human Development; Income Distribution; Migration
• Subject: computer-aided learning ; productivity in education ; personalized learning ; teaching at the right level ; post-primary education ; middle school ; secondary school

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Muralidharan, Karthik ; Singh, Abhijeet ; Ganimian, Alejandro J.
• Event: Veröffentlichung
• (who): Center for Economic Studies and ifo Institute (CESifo)
• (where): Munich
• (when): 2017

Further information

• Handle: http://hdl.handle.net/10419/155570
• Last update: 10.03.2025, 11:43 AM CET