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Does EdTech Substitute for Traditional Learning? Experimental Estimates of the Educational Production Function. NBER Working Paper No. 26967

Authors :
National Bureau of Economic Research
Bettinger, Eric
Fairlie, Robert W.
Kapuza, Anastasia
Kardanova, Elena
Loyalka, Prashant
Zakharov, Andrey
Source :
National Bureau of Economic Research. 2020.
Publication Year :
2020

Abstract

Experimental studies rarely consider the shape and nature of the education production function, which is useful for deriving optimal levels of input substitution in increasingly resource constrained environments. Because of the rapid expansion of EdTech as a substitute for traditional learning around the world and against the backdrop of full-scale temporary substitution due to the coronavirus pandemic, we explore the educational production function by using a large randomized controlled trial that varies dosage of computer-assisted learning (CAL) as a substitute for traditional learning. Results show production is concave in CAL. Moving from zero to a low level of CAL, the marginal rate of technical substitution (MRTS) of CAL for traditional learning is greater than one. Moving from a lower to a higher level of CAL, production remains on the same or a lower isoquant and the MRTS is equal to or less than one. The estimates are consistent with the general form of a Cobb-Douglas production function and imply that a blended approach of CAL and traditional learning is optimal. The findings have direct implications for the rapidly expanding use of educational technology worldwide and its continued substitution for traditional learning. [Funding for this research was provided by the Russian Academic Excellence Project '5-100.']

Details

Language :
English
Database :
ERIC
Journal :
National Bureau of Economic Research
Publication Type :
Report
Accession number :
ED604533
Document Type :
Reports - Research