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Replication Data for: Engaging Teachers with Technology Increased Achievement, Bypassing Teachers Did Not

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Replication Data for: Engaging Teachers with Technology Increased Achievement, Bypassing Teachers Did Not
 
Identifier https://doi.org/10.7910/DVN/Y1UZTT
 
Creator Sabrin Beg
Adrienne Lucas
Waqas Halim
Umar Saif
 
Publisher Harvard Dataverse
 
Description This package contains replication data for: "Engaging Teachers with Technology Increased Achievement, Bypassing Teachers Did Not." It contains analysis data from two interventions conducted in schools in Pakistan between 2016 and 2017. The first intervention, referred to in this package as “elearn,” contains testing and survey data from 59 schools collected between August 2016 (baseline) and January 2017 (endline). The second intervention, referred to in this package as “elearn_tablets,” contains testing and survey data from 75 schools collected between November 2016 (baseline) and February 2017 (endline). The scripts, produced in Stata, contain code to replicate the tables and figures in the paper and its appendix. For further details on the data or how to run the code, please see the readme file. The abstract of the associated paper is as follows: Using two RCTs in middle schools in Pakistan, we show brief, expert-led, curriculum-based videos integrated into the classroom experience improved teaching effectiveness – student test scores in math and science increased by 0.3 standard deviations, 60% more than the control group, after 4 months of exposure. Students and teachers increased their attendance, and students were more likely to pass the government high-stakes exams. In contrast, similar content when provided to students on personal tablets decreased student scores by 0.4SD. The contrast between the two effects shows the importance of engaging existing teachers and the potential for technology to do so.
 
Subject Social Sciences
Education
Ed-tech
 
Contributor Cavanagh, Jack
 
Relation The analysis in the associated paper also uses non-public administrative data containing PEC test scores from the Punjab Examination Commission.
 
Type Survey
Testing
Sample survey data
Measurement and tests: Educational
Administrative records data