Microsoft Copilot tutoring lifts Benin City scores by 0.31 SD

World Bank Policy Research Working Paper 11125: teacher-guided after-school Copilot (GPT-4) sessions, June-July 2024, Benin City; 0.31 SD overall, 0.23 SD in English; 657 treated, 671 control.

AI system

System

Microsoft Copilot (GPT-4) used as a virtual English tutor in teacher-guided after-school computer-lab sessions

Model

GPT-4 within Microsoft Copilot.

Release

Exact release not established.

Application developer

Microsoft (Copilot), on OpenAI's GPT-4

Role

Copilot provided English-language tutoring in sessions supervised by teachers.

Configuration

Researchers used GPT-4 through Microsoft Copilot.

Inputs and outputs

Not assessed

Autonomy

Not assessed

Workflow

A freely available LLM (Copilot on GPT-4) requiring only student registration. Curriculum-aligned prompts and activities guided by teachers in school computer labs. Student-level randomization among volunteers in nine schools with computer labs.

Human oversight

Not assessed

Relation to AI

Copilot tutored in teacher-guided sessions, so the estimate covers the whole after-school program (twelve 90-minute sessions). The large language model (LLM) share is not isolated from teacher guidance and extra teaching time.

AI contribution

Copilot tutored in teacher-guided sessions, so the estimate covers the whole after-school program (twelve 90-minute sessions). The large language model (LLM) share is not isolated from teacher guidance and extra teaching time.

Benefits

Outcome identifiers

Not assessed

Benefit

0.31 SD overall, 0.23 SD in English

Category

Improved Learning

Status

Not assessed

Beneficiary groups

People. Organizations.

Beneficiaries

Not assessed

Reach

Not assessed

Distribution and access

Not assessed

Duration

Not assessed

Expected?

Yes

Costs and harms

Not assessed

Measurement

Studies

Not assessed

Study design

Not assessed

Measurement

Not assessed

Setting and sample

Not assessed

Measures

0.31 SD overall, 0.23 SD in English

Comparison

Not assessed

Results

0.31 SD overall, 0.23 SD in English

Additional value from AI

Not assessed

Limitations

Not assessed

Denominators

Not assessed

Materials for replication

Not assessed

Money

Kind of value

Not assessed

Amount

Not assessed

Currency and prices

Not assessed

Period and unit

Not assessed

Realization

Not assessed

Recipients and payers

Not assessed

Gross or net

Not assessed

Included costs

Not assessed

Comparison

Not assessed

Method

Not assessed

Return and payback

Not assessed

People and places

Participants

Developer: Microsoft (Copilot), on OpenAI's GPT-4. Operator: Nine public secondary schools in Benin City with the World Bank study team; sessions guided by teachers.

Jurisdictions

Benefit: Benin City, Nigeria. Developer: United States. Operator: Nigeria.

Ownership and control

Not assessed

Dependencies

Not assessed

Cross-border connections

Not assessed

Geopolitical implications

Not assessed

Follow-up

Conditions for replication

Working computer labs and internet access. Teacher guidance in every session. Attendance (the paper reports gains rising with days attended).

Replication attempts

Not assessed

Later findings

No report of a second phase or scale-up of the Benin City program after the May 2025 working paper was found.

Availability

Not assessed

Institutional decision

Not assessed

Grounds

Not assessed

Action and result

Not assessed

Success criterion

Not assessed

Evidence

Source numbers

AIBD-0213-source-0001–0005

Citations

Numbered references below.

Language

Not assessed

Source relationships

Operator

Original evidence

Not assessed

Access and versions

Not assessed

Supported findings

Not assessed

Evidence strength

Not assessed

Missing evidence

Not assessed

Grades

Assessed benefits

People. Organizations.

Depth

Not assessed

Reasons

People: Treated students scored 0.31 SD higher overall and 0.23 SD higher in English after six weeks (working paper abstract). Organizations: The schools and the study team gained a cost-effectiveness estimate of 1.5 to 2 years of business-as-usual schooling (working paper abstract).

Observed or intended

Not assessed

Rubric

Not assessed

Assessor and date

Not assessed

Alternative assessments

Not assessed

Fill

The deployer's account

Entry details

Kind

Not assessed

Field

Education. Senior secondary English (after-school program).

Purpose

Copilot was used as a virtual tutor to improve English learning outcomes. The measured gain is that purpose.

Dates

Date basis unassessed: 2024 (precision unassessed). Updated: 21 October 2026.

Stage

Not assessed

Version

SHA-256: e8ff6a381382…

References

Other identifiers

Not assessed

Category mappings

Not assessed

Brief

Not assessed

Revisions

5 revisions. Latest: 21 October 2026.

Sources

  1. Report Deployer

    De Simone M, Tiberti F, Barron Rodriguez M, Manolio F, Mosuro W, Dikoru EJ (2025). From Chalkboards to Chatbots: Evaluating the Impact of Generative AI on Learning Outcomes in Nigeria. Policy Research Working Paper 11125, World Bank (OKR handle page).

  2. Report Deployer

    ERIC record ED676624 for Policy Research Working Paper 11125 (abstract).

  3. Report Deployer

    De Simone M et al. (2025). Working Paper 11125 (sample and attrition).

  4. Press release Deployer

    De Simone ME, Tiberti F, Mosuro W, Manolio F, Barron M, Dikoru E (9 Jan 2025). From chalkboards to chatbots: Transforming learning in Nigeria, one prompt at a time. World Bank Blogs.

  5. Press release Deployer

    World Bank Education blog (2024). From chalkboards to chatbots in Nigeria: 7 lessons to pioneer generative AI for education. 18 September 2024.