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来源类型Working Paper
规范类型报告
DOI10.3386/w26967
来源IDWorking Paper 26967
Does EdTech Substitute for Traditional Learning? Experimental Estimates of the Educational Production Function
Eric Bettinger; Robert W. Fairlie; Anastasia Kapuza; Elena Kardanova; Prashant Loyalka; Andrey Zakharov
发表日期2020-04-13
出版年2020
语种英语
摘要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.
主题International Economics ; Globalization and International Relations ; Health, Education, and Welfare ; Education
URLhttps://www.nber.org/papers/w26967
来源智库National Bureau of Economic Research (United States)
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条目标识符http://119.78.100.153/handle/2XGU8XDN/584640
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Eric Bettinger,Robert W. Fairlie,Anastasia Kapuza,et al. Does EdTech Substitute for Traditional Learning? Experimental Estimates of the Educational Production Function. 2020.
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