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Engaging Education in a Crisis: The Impact of Technology-Aided Teacher-Student Interactions
Last registered on June 19, 2020

Pre-Trial

Trial Information
General Information
Title
Engaging Education in a Crisis: The Impact of Technology-Aided Teacher-Student Interactions
RCT ID
AEARCTR-0005914
Initial registration date
June 18, 2020
Last updated
June 19, 2020 11:26 AM EDT
Location(s)

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Primary Investigator
Affiliation
Other Primary Investigator(s)
PI Affiliation
Center for Global Development
PI Affiliation
Center for Global Development
Additional Trial Information
Status
In development
Start date
2020-05-18
End date
2020-12-31
Secondary IDs
Abstract
How can Sierra Leone keep students engaged during school closures, without access to the internet? The government's starting point is radio lessons. This study will test a variety of SMS and phone call treatments designed to increase engagement with the radio lessons.
External Link(s)
Registration Citation
Citation
Crawfurd, Lee, David Evans and Justin Sandefur. 2020. "Engaging Education in a Crisis: The Impact of Technology-Aided Teacher-Student Interactions." AEA RCT Registry. June 19. https://doi.org/10.1257/rct.5914-1.0.
Sponsors & Partners

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Experimental Details
Interventions
Intervention(s)
We have three treatment groups and a control group:

Treatment 1: SMS Reminders to listen to Education Radio
Treatment 2: Phone calls from government school teachers
Treatment 3: Phone calls from private school teachers
Intervention Start Date
2020-05-18
Intervention End Date
2020-12-31
Primary Outcomes
Primary Outcomes (end points)
Time spent engaged in learning activity, Maths test scores, Reading test scores, Re-enrolment in school
Primary Outcomes (explanation)
Secondary Outcomes
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
Households are assigned to treatment groups using stratified randomization - with stratification conducted by prior student test scores and student grade level.
Experimental Design Details
Not available
Randomization Method
Randomization done in office by a computer
Randomization Unit
Households
Was the treatment clustered?
Yes
Experiment Characteristics
Sample size: planned number of clusters
3,500 households
Sample size: planned number of observations
5,000 students
Sample size (or number of clusters) by treatment arms
Equal size of each of the four arms (three treatment and control)
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
The MDE for the main outcomes is 0.1 standard deviations - this applies to time spent on learning activities, learning outcomes, and probability of re-enrolling in school when they reopen.
Supporting Documents and Materials

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IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
IRB Approval Date
IRB Approval Number