Isolating the “Tech” from EdTech: Experimental Evidence on Computer-Assisted Learning in China

B-Tier
Journal: Economic Development & Cultural Change
Year: 2024
Volume: 72
Issue: 4
Pages: 1923 - 1962

Authors (4)

Yue Ma (not in RePEc) Robert Fairlie (University of California-Los A...) Prashant Loyalka (not in RePEc) Scott Rozelle (not in RePEc)

Score contribution per author:

0.503 = (α=2.01 / 4 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

EdTech, which includes computer-assisted learning (CAL), online education, and remote instruction, was expanding rapidly even before the COVID-19 pandemic. Studies of CAL interventions often find positive effects; however, these “CAL programs” often include non-technology-based inputs such as more time spent on learning and additional instructional support by facilitators. In this paper, we discuss the possible channels by which CAL programs affect academic outcomes among schoolchildren. We isolate the technology-based effects of CAL from the total program effects by designing and performing a novel multitreatment field experiment in rural China. For the full sample, we find null effects for both the total CAL program and the technology-based effects of CAL on math test scores. For boys, however, we find a positive and statistically significant effect of the CAL program but do not find evidence of a positive effect for the technology-based effect of CAL. When focusing on grades, we find evidence of positive CAL program effects but find null effects when we isolate the technology-based effects of CAL. Our empirical results suggest that the “Tech” in EdTech may have relatively small additional effects on academic outcomes, yet tech programs can substitute at least to a certain extent for traditional learning.

Technical Details

RePEc Handle
repec:ucp:ecdecc:doi:10.1086/726064
Journal Field
Development
Author Count
4
Added to Database
2026-01-25