Last Mile Education Technology: An Evaluation of Building Education Foundations through Innovation & Technology in Malawi

Last registered on April 29, 2026

Pre-Trial

Trial Information

General Information

Title
Last Mile Education Technology: An Evaluation of Building Education Foundations through Innovation & Technology in Malawi
RCT ID
AEARCTR-0018446
Initial registration date
April 23, 2026

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 29, 2026, 3:35 PM EDT

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

Locations

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Primary Investigator

Affiliation
University of Chicago

Other Primary Investigator(s)

PI Affiliation
University of Chicago
PI Affiliation
University of Buffalo
PI Affiliation
Center for Educational Research and Training, University of Malawi
PI Affiliation
University of Chicago

Additional Trial Information

Status
On going
Start date
2025-06-01
End date
2028-01-31
Secondary IDs
Prior work
This trial is based on or builds upon one or more prior RCTs.
Abstract
In Malawi, more than 80% of students at the end of grade 4 are unable to read a single familiar word (World Bank, 2018). High pupil-teacher ratios and limited resources constrain teachers’ ability to provide individualised instruction, contributing to the learning crisis in foundational literacy and numeracy. Digital solutions like personalised adaptive learning (PAL) can deliver high-quality, differentiated instruction at scale, but infrastructure and fixed costs have historically limited their reach in low-resource settings. The BEFIT program addresses infrastructure challenges by providing a comprehensive package that includes solar energy, tablets, and training, thereby lowering these fixed costs to support scalable implementation.

The Building Education Foundations through Innovation & Technology (BEFIT) Program will evaluate the large-scale implementation of onebillion’s onecourse software in Malawian primary schools. Implemented in partnership with Imagine Worldwide, the program aims to strengthen foundational literacy and numeracy skills. Evidence from nine small-scale trials in Malawi demonstrates the software’s effectiveness in improving early learning outcomes.

Using a randomised controlled trial with 348 schools in 11 districts of Malawi (surveyed at baseline) and then followed up with 250 schools at the first followup, the evaluation will assess the program’s effects on learning outcomes, cost-effectiveness, and long-term sustainability as management transitions from Imagine to the government. Specifically, we will test for the following:
Can BEFIT improve literacy and numeracy test scores for children in standards 1-4 at scale?
Can it improve student grade promotion, attendance, psychosocial indicators, and attention?
Can it enhance teacher practices, job satisfaction, and self-efficacy?

Additionally, if the study shows learning gains in numeracy and literacy from BEFIT, we will also examine the program’s cost-effectiveness compared to other experimentally evaluated education interventions in Malawi using the framework of Angrist et al. 2025.

Schools will be randomly assigned to one of three conditions: (i) control, (ii) standard dosage (150 minutes per week), or (iii) high dosage (300 minutes per week). This represents the first large-scale evaluation of a personalized adaptive learning (PAL) program in primary schools in Africa.
External Link(s)

Registration Citation

Citation
Gray-Lobe, Guthrie et al. 2026. "Last Mile Education Technology: An Evaluation of Building Education Foundations through Innovation & Technology in Malawi ." AEA RCT Registry. April 29. https://doi.org/10.1257/rct.18446-1.0
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Experimental Details

Interventions

Intervention(s)
The randomized evaluation assigned eligible schools to one of three conditions: (a) control, (b) standard BEFIT dosage, or (c) high BEFIT dosage. Two schools were allocated to receive a capitation grant and were not assigned to either of the groups.

Standard BEFIT dosage group: Schools are assigned to schedule student use of the onecourse software for up to five periods per week (about 150 minutes weekly, or 27 hours annually).

High BEFIT dosage group: Students are scheduled to use the software for approximately 240/245 minutes per week (about 43 hours annually).

Control group: Schools continue with existing practices.
Intervention Start Date
2025-08-01
Intervention End Date
2027-01-31

Primary Outcomes

Primary Outcomes (end points)
This study will assess the impact of the BEFIT program on literacy and numeracy test scores.
Primary Outcomes (explanation)
Student learning outcomes:
a. Literacy (Early Grade Reading Assessment, EGRA)
b. Numeracy (Early Grade Mathematics Assessment, EGMA)

Secondary Outcomes

Secondary Outcomes (end points)
Student grade promotion, dropouts, psychosocial indicators, and attention.
Secondary Outcomes (explanation)
This study will also assess the impact of the BEFIT program on the following student-level outcomes:
a. Student grade promotion
b. Dropouts
c. Psychosocial indicators and attention

It will assess the impact on the following HT and school-related indicators:
a. Beliefs about Education Philosophy
b. Perceptions of Educational Technology
c. School enrolment and number of teachers
d. Quality of teachers- (education, certification status, years of experience, comfort with English and computers)
e. Management practices
f. Use (and frequency) of standardized forms for performance evaluation
g. Use (and frequency) of standardised forms for student and teacher records (such as absences, test scores)
h. Use (and frequency) classroom observation tools
i. Use of performance-based pay incentives
j. Use of standardised lesson plans

It will assess the impact on the following teacher outcomes:
a.Teacher practices
b. Job satisfaction
c. Self-efficacy

Experimental Design

Experimental Design
Schools eligible for the study must meet three criteria: 1) no prior BEFIT implementation, 2) a suitable roof for solar panel installation and 3) deemed accessible by the implementing partner.

The research team shared a sampling frame with Imagine Worldwide to begin school eligibility assessments. Using the 2024 Education Management Information System (EMIS) data, we generated a randomly selected list of 574 schools across 12 districts (three rural and one urban per region). Single-gender schools were excluded to maximize precision in gender subgroup analysis. All 150 schools previously included in the National Numeracy Program (NNP) evaluation were retained. After Imagine Worldwide conducted eligibility checks, 441 schools were deemed eligible.

Due to budget constraints, the research team dropped 93 of the 441 eligible schools, including one district entirely. A baseline survey was completed with the remaining 348 schools across 11 districts. Information was collected from headteachers regarding school name, location, enrollment, number of teachers and classrooms, interest in technology, demand for the BEFIT program, and their experiences as school leaders. Additionally, a Student Tracking Sample was created by collecting information on randomly selected students, including their names and genders. These students were assessed using the Early Grade Reading Assessment (EGRA) and Early Grade Mathematics Assessment (EGMA) in Chichewa, along with an attention measure. A short household survey was administered to capture demographic and socioeconomic data. For the Teacher Tracking Sample, four teachers (one per grade, Standards 1–4) were identified from administrative data.

After baseline, schools were randomly assigned to one of three groups, stratified by tercile of the school’s predicted baseline achievement (capturing variation from geography, enrolment and pupil-teacher ratio), solar panel size and school level baseline achievement.
Control group (N =221): No BEFIT program
Standard-dosage group (N = 100): Students scheduled to use the one-course software for 150 minutes per week.
High-dosage group (N = 25): Students scheduled for 300 minutes per week.
Note: Two schools were excluded from the allocation to the treatment and control group as they were randomly selected for the capitation grant.

Follow-up surveys and assessments will be conducted with sampled schools (finalized at followup). In rounds after the program is fully transitioned to government management, additional students in Grades 1 and 2 will be added to the tracking sample. This will allow the evaluation to measure the program’s impact on new cohorts and compare learning outcomes with those observed in the original tracking sample.
Experimental Design Details
Not available
Randomization Method
The schools were randomly assigned using a computer-generated number.
Randomization Unit
Schools
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
348 schools at baseline
Sample size: planned number of observations
We surveyed 348 headteachers, 1,392 teachers, and 5,394 students at the baseline.
Sample size (or number of clusters) by treatment arms
Control group: 221 schools

Treatment group: 125 schools, divided into:
Standard BEFIT program: 100 schools
High-dosage BEFIT program: 25 schools

Note: Two schools were excluded from the sample because they opted to receive capitation grants.

Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
We report the minimum detectable effect (alpha= 0.05 and beta = 0.80) for test scores for the comparison of 125 BEFIT schools (regardless of dosage) in the initial follow-up survey (June 2026). We assume a residual correlation of 0.2 in strata controls and that the residual variance in test scores after accounting for strata fixed effects and other covariates is 90% of the total variance. Analyses focus on the intent-to-treat effect of program assignment. With 125 BEFIT schools, the MDE for standardized test scores is 0.12 standard deviations.
IRB

Institutional Review Boards (IRBs)

IRB Name
The University of Chicago
IRB Approval Date
2025-05-02
IRB Approval Number
IRB25-0657