Identifying and Nurturing Math Talent at Scale: An Experiment with Art of Problem Solving Self-Paced Classes in Tamil Nadu, India

Last registered on August 04, 2025

Pre-Trial

Trial Information

General Information

Title
Identifying and Nurturing Math Talent at Scale: An Experiment with Art of Problem Solving Self-Paced Classes in Tamil Nadu, India
RCT ID
AEARCTR-0014090
Initial registration date
July 30, 2024

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
August 06, 2024, 1:19 PM EDT

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

Last updated
August 04, 2025, 5:23 PM EDT

Last updated is the most recent time when changes to the trial's registration were published.

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Primary Investigator

Affiliation
MIT

Other Primary Investigator(s)

PI Affiliation
MIT
PI Affiliation
MIT
PI Affiliation
MIT
PI Affiliation
J-PAL

Additional Trial Information

Status
In development
Start date
2024-08-12
End date
2030-06-01
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
In this project, partnering with the Art of Problem Solving (AoPS) and the Government of Tamil Nadu, we will test whether advanced online coursework and tutoring can identify and support high achievers who lack access to resources. Using administrative data and a screening mechanism, we will provide direct evidence of the distribution of high-potential students in Tamil Nadu. In an RCT with high-achieving students, we will test the effects of offering an advanced pre-algebra class and the additive benefits of support systems, such as tutoring. We aim to provide a model that can be extended to other Indian states or other countries if it proves successful.
External Link(s)

Registration Citation

Citation
Adajar, Phi et al. 2025. "Identifying and Nurturing Math Talent at Scale: An Experiment with Art of Problem Solving Self-Paced Classes in Tamil Nadu, India ." AEA RCT Registry. August 04. https://doi.org/10.1257/rct.14090-2.0
Sponsors & Partners

Sponsors

Partner

Experimental Details

Interventions

Intervention(s)
In our main treatment, students will receive one of four interventions.
a) Access to AoPS Pre-Algebra 1 course for six months, with various technological support, including WhatsApp groups and tablet + SIM access (n = 800)
b) Identical access as in (a), and weekly group tutoring sessions (n = 600)
c) Identical access as in (b), and weekly 1:1 tutoring sessions (n = 200)
d) Control group used as a baseline for comparison. (n = 800)

Treated students were also cross-randomized with two additional treatments.

1. 400 students in treatment groups were randomly assigned to receive support through school-provided computer labs. Working with school personnel, students were allowed after-school access to their school computer lab to work on AoPS.
2. Students were allocated to one of 3 "incentive" treatments
a) 533 students received no incentives.
b) 533 students were told that if they did not have adequate progress in the course, their tablet access would be revoked (though could be “earned back” if they kept up progress in the course). These incentives were enforced if a student had less than 80% of expected progess.
c) 533 students received the same information as group (b), but incentives were unenforced.

All treatments are randomized at the school level.

Students were selected for the program using one of several criterion, randomized at the school level. Selection will be based on four criteria:
a) (240 students) Performance on existing in-school tests
b) (240 students) Engagement with the internet-linked content and uploaded problems
c) (240 students) Performance on our virtual test
d) (240 students) Measures of student grit and persistence
The remaining 1440 students will be selected using combinations of the above criteria.
e) (240 students) an equal-weighted combination of (a) and (b)
f) (240 students) an equal-weighted combination of (b) and (c)
g) (480 students) an equal-weighted combination of (a) and (c)
h) (480 students) an equal-weighted combination of (a), (b), and (c)
Intervention Start Date
2024-10-01
Intervention End Date
2025-07-01

Primary Outcomes

Primary Outcomes (end points)
1. Retention, grades, and engagement in AoPS class (only for the treatment groups)
2. Test scores on regular TN examinations (administrative data)
3. Test scores on a customized test created to measure skills in the standard math curriculum, the AoPS curriculum, and general mathematical reasoning, with a higher ceiling than standardized tests, administered at the end of the RCT.
4. Performance at the grade 10 board examinations (a high-stakes exam administered to all children in Tamil Nadu).
5. Admission into Tamil Nadu elite high schools during grades 9-12, and performance on any relevant entrance exams. For this to be a reliable outcome, we may encourage our entire sample to apply and take the entrance exams.
6. Performance on any state-wide or nation-wide exams, such as the NMMS.
7. Later-life outcomes, such as high school graduation, college matriculation, college selectiveness, and choice of a STEM major/career.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
1. Qualitative evidence on students’ interest in STEM, belief in math abilities, attitude to towards math, plans, comfort and use of technology, and other behavioral outcomes, collected at the end of 10th and 12th grade.
2. Parental beliefs about student abilities, confidence, and aspirations for their children.
3. Impacts on students' non-mathematics achievement, including Science, English, and Tamil.
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Students will be selected for this intervention using a combination of test scores on government-administered public school examinations and a screening mechanism in which high-performing students will receive access to a sample of AoPS material.

After identifying students, they will be randomized to one of the four primary interventions, and potentially cross-randomized to additional interventions, as described above.
Experimental Design Details
Not available
Randomization Method
Randomization performed in Stata with a saved seed.
Randomization Unit
Clustered at school level.
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
1100 schools
Sample size: planned number of observations
2400 students
Sample size (or number of clusters) by treatment arms
Main Treatment: 800 students in control, 800 with AoPS only, 600 with group tutoring, 200 with 1:1 tutoring.

For subtreatments:
Incentive: 533 students with no incentives, 533 students with enforced incentives, 533 students with unenforced incentives. (All belong to treatment groups in main design.)
Comptuer Labs: 1200 untreated students, 400 treated students. (All belong to treatment groups in main design.)
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
0.3 standard deviations on outcomes with mean 0 and standard deviation 1
IRB

Institutional Review Boards (IRBs)

IRB Name
IFMR Human Subjects Committee
IRB Approval Date
2024-09-24
IRB Approval Number
N/A
IRB Name
IFMR Human Subjects Committee
IRB Approval Date
2025-07-10
IRB Approval Number
N/A
IRB Name
IFMR Human Subjects Committee
IRB Approval Date
2025-03-17
IRB Approval Number
N/A
IRB Name
IFMR Human Subjects Committee
IRB Approval Date
2025-06-02
IRB Approval Number
N/A
IRB Name
MIT COUHES Committee on the Use of Humans as Experimental Subjects
IRB Approval Date
2024-09-06
IRB Approval Number
2408001374
IRB Name
MIT COUHES Committee on the Use of Humans as Experimental Subjects
IRB Approval Date
2024-12-06
IRB Approval Number
2410001443
Analysis Plan

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