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Good practice Imported

El Director LIBRE — AI-Assisted Time-Management Method for School Principals (Peru)

Peru · Lima · See the Peru profile · See the Lima profile

Evidence: Descriptive / self-reported Top 86% 33/100 · Ask Evidence Copilot about this practice

Piloted with over 100 principals across eight Latin American countries and evaluated by the World Bank in Peru, 'El Director LIBRE' uses free AI tools to cut routine paperwork — reports fell from 90 to 20 minutes — freeing time for instructional leadership.

90 to 20 minutes
Report-writing time
2 hours to under 30 minutes
Evaluation-analysis time
85 %
Principals rating the tools very useful
100+ across 8 countries
Principals engaged in co-design pilot
6,000+
Peruvian school leaders subsequently trained
El Director LIBRE — AI-Assisted Time-Management Method for School Principals (Peru)

Details

Maturity
Scaling
Promoter
World Bank Development Research Group, Peru Ministry of Education
Period
2025-2026
Keywords
education administration, school leadership, public sector AI

Context

'El Director LIBRE' (Localiza, Implementa, Busca, Refuerza, Expande) is a five-step method paired with a free AI agent ('DirectorLIBRE Assistant') that the World Bank's Development Research Group co-designed with more than 100 school principals from Argentina, Chile, Colombia, Costa Rica, Ecuador, Mexico, Paraguay and Peru, to automate routine administrative paperwork such as report-writing and evaluation analysis.

Objectives

The method responds to a 2024 survey of 5,000 school leaders (PULS study) finding that Latin American principals spend about 76% of their time on non-pedagogical administrative tasks and only 24% on pedagogical leadership, even though pedagogical leadership is associated with roughly three times the impact on student learning; the aim is to free principal time for instructional leadership.

Results

Co-creating principals reported cutting report-writing time from about 90 minutes to 20 minutes and evaluation-analysis time from two hours to under 30 minutes, with 85% rating the tools as very useful. The method was subsequently used to train more than 6,000 Peruvian school leaders as part of a broader World Bank-Peru education AI programme (with Anthropic, Microsoft and Peru's Ministry of Education), which separately ran a randomized controlled trial showing AI-assisted classroom-observation scoring matched trained human observers.

Conclusions

The efficiency and satisfaction figures are self-reported by the principals who co-designed the method during the pilot process, not an independent randomized evaluation of the tool itself, and no data yet show whether the time freed from paperwork translates into measured gains in student learning.

Implementation

Indicative cost
Low (< €50k)
Time to results
Short (< 1 year)
Staffing & skills
World Bank Development Research Group, Peru's Ministry of Education, Anthropic, Microsoft

Conditions for success

  • co-design with the principals who will use the method, to ensure buy-in and practical fit
  • reliance on free/low-cost AI tools to keep adoption barriers low
  • a structured five-step method (LIBRE) rather than an unstructured tool rollout

Commonly funded by

National / regional programmes

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Data sources

Where this practice's information was retrieved from, and when.

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