Item history (bjohas, Thu Feb 25 2021 10:47:29 GMT+0000 (GMT))
TY  - RPRT 
TI  - Does EdTech Substitute for Traditional Learning? Experimental Estimates of the Educational Production Function 
AU  - Bettinger, Eric 
AU  - Fairlie, Robert W 
AU  - Kapuza, Anastasia 
AU  - Kardanova, Elena 
AU  - Loyalka, Prashant 
AU  - Zakharov, Andrey 
AB  - 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. 
CY  - Cambridge, MA 
DA  - 2020/// 
PY  - 2020 
DP  - National Bureau of Economic Research 
SP  - w26967 
LA  - en 
M3  - Working Paper 
PB  - National Bureau of Economic Research 
SN  - 26967 
ST  - Does EdTech Substitute for Traditional Learning? 
UR  - http://www.nber.org/papers/w26967 
Y2  - 2020/05/22/17:42:40 
ER  -  
 
TY  - RPRT 
TI  - Does EdTech Substitute for Traditional Learning? Experimental Estimates of the Educational Production Function 
AU  - Bettinger, Eric 
AU  - Fairlie, Robert W 
AU  - Kapuza, Anastasia 
AU  - Kardanova, Elena 
AU  - Loyalka, Prashant 
AU  - Zakharov, Andrey 
AB  - 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. 
DA  - 2020/04// 
PY  - 2020 
DP  - National Bureau of Economic Research 
M3  - Working Paper 
PB  - National Bureau of Economic Research 
SN  - 26967 
ST  - Does EdTech Substitute for Traditional Learning? 
UR  - http://www.nber.org/papers/w26967 
Y2  - 2020/06/22/13:27:21 
ER  -  
 
TY  - RPRT 
TI  - Does EdTech substitute for traditional learning? Experimental estimates of the educational production function 
AU  - Bettinger, Eric 
AU  - Fairlie, Robert 
AU  - Kapuza, Anastasia 
AU  - Kardanova, Elena 
AU  - Loyalka, Prashant 
AU  - Zakharov, Andrey 
AB  - 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. 
CY  - Cambridge, MA 
DA  - 2020/04// 
PY  - 2020 
DP  - DOI.org (Crossref) 
SP  - w26967 
LA  - en 
PB  - National Bureau of Economic Research 
SN  - w26967 
ST  - Does EdTech Substitute for Traditional Learning? 
UR  - http://www.nber.org/papers/w26967.pdf 
Y2  - 2020/07/18/12:18:05 
ER  -  
 
TY  - RPRT 
TI  - Does edtech substitute for traditional learning? experimental estimates of the educational production function 
AU  - Bettinger, Eric 
AU  - Fairlie, Robert W. 
AU  - Kapuza, Anastasia 
AU  - Kardanova, Elena 
AU  - Loyalka, Prashant 
AU  - Zakharov, Andrey 
DA  - 2020/// 
PY  - 2020 
DP  - Google Scholar 
PB  - National Bureau of Economic Research 
ST  - Does edtech substitute for traditional learning? 
L1  - https://siepr.stanford.edu/sites/default/files/publications/20-010.pdf 
L2  - https://www.nber.org/papers/w26967 
ER  -
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itemKey: S4QWMRBY
itemKeyOld: XS952L7F, TRKM9BLZ, CKF9HN4H
item.extra: Series: Working Paper Series DOI: 10.3386/w26967
itemOLD.extra: Series: Working Paper Series DOI: 10.3386/w26967
itemOLD.extra:DOI: 10.3386/w26967 EdTechHub.ItemAlsoKnownAs: 2339240:TRKM9BLZ;10.3386/w26967;2405685:YBNVX46E;2339240:TRKM9BLZ
itemOLD.extra: