Unequal opportunities, unequal efforts and learning poverty in the absence of high social stratification

Last registered on April 30, 2025

Pre-Trial

Trial Information

General Information

Title
Unequal opportunities, unequal efforts and learning poverty in the absence of high social stratification
RCT ID
AEARCTR-0015830
Initial registration date
April 27, 2025

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
April 30, 2025, 1:10 PM EDT

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Locations

Region

Primary Investigator

Affiliation
Université catholique de Louvain

Other Primary Investigator(s)

PI Affiliation
North South University
PI Affiliation
Aix Marseille University
PI Affiliation
University of Leeds

Additional Trial Information

Status
In development
Start date
2025-04-29
End date
2026-12-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
In many developing countries, the education system is failing millions of children. Even though they attend school, they are not learning basic skills like reading and math. For example, in Bangladesh, about half of the 10-year-old children cannot read a simple sentence. This issue, known as "learning poverty," is a major obstacle to achieving global education goals by 2030.

To address this, we need to understand why children are not learning. Our study will focus on the role of effort in school performance, building upon the ethical concept of equality-of-opportunity. This concept distinguishes between sources of inequality related to consequences of effort within one's control and sources related to circumstances beyond one's responsibility. In previous research (Asadullah et al., 2021), we found effort was positively correlated with achievement in Maths and English. Drawing on this literature, we hypothesize that effort, which encompasses both hard work at school and skills like motivation and perseverance, is a key determinant of learning outcomes. Moreover, we argue that effort is not innate but can be stimulated.

To test this, we conduct a large survey in rural Bangladesh, collecting data on students, teachers, and parents. We also carry out a lab-in-the-field experiment in which we randomly assign an intervention designed to encourage students' effort and we assess its impact on academic performance, especially mathematics. Our study aims to provide valuable insights into how personality traits, cognitive skills, and effort from the entire education community (students, teachers, parents) affect school performance. We also explore whether encouraging effort can improve learning outcomes.
External Link(s)

Registration Citation

Citation
Asadullah, M Niaz et al. 2025. "Unequal opportunities, unequal efforts and learning poverty in the absence of high social stratification." AEA RCT Registry. April 30. https://doi.org/10.1257/rct.15830-1.0
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Experimental Details

Interventions

Intervention(s)
The study will be conducted in two parts: a survey covering data collection on four different types of participants (School headteacher, Grade 8 English teacher, Grade 8 Mathematics teacher, Grade 8 students) and an intervention aimed at stimulating school effort targeting Grade 8 students.

Part 1 aims to obtain robust results on educational opportunity equality when high-quality effort variables are available for different actors involved in students’ education, to wit, the student, their family and their teachers. This is what we call, the “effort triad”. Hence, we will study the relation between the effort of the three actors and with students’ educational outcomes (assessment scores in English and Maths, in this case). Using data on cognitive abilities and non-cognitive attitudes, which may be crucial for the determination of effort, we will assess how these contribute to inequality of educational opportunity in Bangladesh.

In part 2, an experiment will involve asking students to solve a maze in the middle of the math assessment that will be administered as part of the survey to measure their school performance. While all students will be invited to take a recreational break from the math assessment, the completion of the maze will be randomised at school level before the break and will be associated with or without a reward for successful completion before the second part of the math assessment is completed. Our interest is to investigate the effect of (1) public recognition of successful completion of the maze and (2) rewarded successful completion of the maze on students' performance in the math assessment after the treatment. We will also assess the correlation of successful completion of Maze with maths performance before and after the treatment.
Intervention Start Date
2025-04-29
Intervention End Date
2025-06-15

Primary Outcomes

Primary Outcomes (end points)
The primary outcome of interest of the RCT study is mathematics performance of each grade 8 student i attending school s observed before and after the recreational break across the different study arms.
Primary Outcomes (explanation)
Grade 8 students will complete a mathematics assessment. The mathematics performance test will use 20 questions of mathematics based on the Trends in Mathematics and Science Study (TIMSS) as well as the 2023 Bangladesh Guidelines for Teachers on Seventh Grade Evaluation. It will be presented as a sum of the correct answers to each question. One half (10 items) will be administered pre-treatment and the other half post-treatment.

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
The experiment will involve asking students to solve a maze in the middle of the math assessment that will be administered as part of the survey to measure their school performance. While all students will be invited to take a recreational break from the math assessment, the completion of a maze will be randomised at school level before the break as follows:
as follows:
- Control group 1 -- single recreational break;
- Control group 2 -- maze completion + recreational break;
- Intervention group 1 -- maze completion + recreational break + maze result;
- Intervention group 2 -- maze completion (with incentive) + recreational break + maze result with reward;
The incentive for the students will be to receive an official certificate in their name if completing the maze successfully.
Experimental Design Details
Not available
Randomization Method
The intervention will be randomized in an office by a computer by the primary investigator. The enumerators and supervisors in the field will be blinded to the treatment until they reach the school on the collection day.

Additionally, to avoid fatigue in data completion from Grade 8 students, the last 6 pages were divided into two sub-questionnaires of 3 pages to be completed each by one half of the class. Random allocation will be based on student roll number with set A allocated to students with an even roll number and set B allocated to students with an odd roll number.

As the school may have more than one Grade 8 class, one Grade 8 class will be randomly selected. Within that class, if the number of students exceeds 35, a random sample of 25 to 30 students will be selected to ensure optimal conditions for data collection by the enumerators.
Randomization Unit
Randomisation unit for the intervention: school.

The survey will include other randomisation units outside the intervention.
- Randomisation unit for the surveyed grade 8 class in mixed sex school: school.
- Randomisation unit for the surveyed grade 8 class in single sex school classes: school level including draw with discount to ensure a balance sample of girls and boys in the overall sample.
- Randomisation unit for the surveyed sample of 25-30 grade 8 students: class level
- Randomisation unit for sub-set of questionnaires: class level.
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
296 schools
Sample size: planned number of observations
We consider approximately 25-30 students per grade 8 classes in each school, so the planned number of observations will be 7,400 to 8,800 students.
Sample size (or number of clusters) by treatment arms
The intervention aims at stimulating school effort targeting Grade 8 students and is composed of 4 different treatment arms which will be randomized at school level accounting for a stratification per school type (madrasah or secular school) as follows: 73 schools (47 secular schools and 26 madrasahs) in control group 1, 75 schools (48 secular schools and 27 madrasahs) in control group 2, 74 schools (48 secular schools and 26 madrasahs) in Intervention group 1, 74 schools (48 secular schools and 26 madrasahs) in intervention group 2.
.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Given the available sample size, the study is expected to maintain approximately 80–85% power to detect an overall MDE close to 0.14 SD and interaction/moderator effects with a slightly larger MDE (around 0.20 SD for interactions). As we used an average 25 students per school for power calculation, if the schools average is closer to 30 students, our power will improve allowing a smaller MDE.
Supporting Documents and Materials

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IRB

Institutional Review Boards (IRBs)

IRB Name
North South University Institutional Review Board / Ethics Review Committee
IRB Approval Date
2025-01-28
IRB Approval Number
#2025/OR-NSU/IRB/0110
IRB Name
Comité d'éthique de la Recherche de l'Université d'Aix-Marseille
IRB Approval Date
2025-02-12
IRB Approval Number
2024-09-12-11
Analysis Plan

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