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The Impacts and Mechanisms of Distance Learning Interventions in Rural China
Last registered on March 15, 2020

Pre-Trial

Trial Information
General Information
Title
The Impacts and Mechanisms of Distance Learning Interventions in Rural China
RCT ID
AEARCTR-0005547
Initial registration date
March 12, 2020
Last updated
March 15, 2020 10:12 PM EDT
Location(s)

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Primary Investigator
Affiliation
Center for Experimental Economics in Education at Shaanxi Normal University
Other Primary Investigator(s)
PI Affiliation
TAL Education Group
PI Affiliation
Yuanshan Education Foundation
PI Affiliation
School of Economics and Management, Tsinghua University, Beijing, China
PI Affiliation
School of Economics, Fudan University, Shanghai, China
PI Affiliation
Center for Experimental Economics in Education, Shaanxi Normal University, Xi’an, China
PI Affiliation
Center for Experimental Economics in Education, Shaanxi Normal University, Xi’an, China
Additional Trial Information
Status
On going
Start date
2019-12-01
End date
2024-12-31
Secondary IDs
Abstract
The project adopts three different treatments aimed at improving students’ learning in rural areas in China. The first treatment provides students "live" instruction online from a highly qualified teacher, the second treatment provides students with pre-recorded, and the third treatment provides teachers and students with teaching resources, teaching plans, short videos and other related teaching materials of urban excellent teachers. This project aims to compare the effects of the three interventions relative to the control group.
External Link(s)
Registration Citation
Citation
Shi, Yaojiang et al. 2020. "The Impacts and Mechanisms of Distance Learning Interventions in Rural China." AEA RCT Registry. March 15. https://doi.org/10.1257/rct.5547-1.2000000000000002.
Sponsors & Partners
Sponsor(s)
Partner(s)
Experimental Details
Interventions
Intervention(s)
The project adopts three different treatments. The first treatment provides students "live" instruction online from a highly qualified teacher, the second treatment provides students with pre-recorded, and the third treatment provides teachers and students with teaching resources, teaching plans, short videos and other related teaching materials of urban excellent teachers.
Intervention Start Date
2020-03-31
Intervention End Date
2020-12-31
Primary Outcomes
Primary Outcomes (end points)
student's test score and non-cognitive measures
Primary Outcomes (explanation)
student's test score includes standardized test score given by research team and student’s test scores in school
non-cognitive measures include student’s Big-Five personality measures, self-efficacy, etc.
Secondary Outcomes
Secondary Outcomes (end points)
Teacher’s ratings, students’ learning interest, education aspiration, and mental health etc.
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
The project adopts three different treatments aimed at improving students’ English learning in rural areas in China. The first treatment provides students "live" instruction online from a highly qualified teacher, the second treatment provides students with pre-recorded, and the third treatment provides teachers and students with teaching resources, teaching plans, short videos and other related teaching materials of urban excellent teachers. In each treatment group, online instructors/project managers work with local teachers and dual-teacher links are forged to improve rural students’ English learning.
By cooperating with provincial education department in Gansu Province, we are able to carry out the trial in three prefectures and cover 200 rural schools. In each school, one class in Grade 3 and one in Grade 4 are randomly drawn to produce the final sample. An education foundation, sponsored by a top education company in China, provides intervention courses/materials to treatment schools for free and support the daily project management.
Experimental Design Details
Not available
Randomization Method
randomization done in office by a computer
Randomization Unit
School level
Was the treatment clustered?
Yes
Experiment Characteristics
Sample size: planned number of clusters
200 primary schools
Sample size: planned number of observations
around 10,000 to 15,000 primary students
Sample size (or number of clusters) by treatment arms
Treatment 1 live instruction: 50 schools
Treatment 2 pre-recorded instruction: 50 schools
Treatment 3 teacher’s discretion: 50 schools
Control: 50 schools
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
To fulfill statistical power, we assume that the minimum detectable effect size equals 0.2 SD.
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
Tsinghua SEM Institutional Review Board
IRB Approval Date
2019-11-15
IRB Approval Number
2019-TSEM-002