Malaysia SiPKPM — AI-enhanced national early-warning system for school dropout prevention
Malaysia
Malaysia's Ministry of Education (KPM) and UNICEF deploy SiPKPM, an AI early-warning system tracking 5 million learners on 7 risk …
France · Paris · See the France profile · See the Paris profile
Evidence: Descriptive / self-reported Top 89% 27/100 · Ask Evidence Copilot about this practice
Affelnet-Lycée has algorithmically matched hundreds of thousands of French students to secondary schools since 2008. In May 2025 the Paris Administrative Court suspended the rectorat's placement circular after parents' associations challenged its opacity and fairness.
FR101Affelnet-Lycée is the algorithm France's Ministry of National Education has used nationwide since 2008 to assign students moving from collège to lycée (secondary school). It ranks each student's stated choices against catchment-area residence, academic results and social/scholarship criteria intended to promote mixité sociale, computing placements centrally each spring.
The system's stated aim is to allocate secondary-school places fairly at national scale while promoting social mix (mixité sociale) through its weighting of social and scholarship criteria.
In 2025 the system's transparency came under direct legal challenge in Paris: a 10 April 2025 circular from the Paris rectorat altered recruitment districts for several lycées without the joint decision from the Île-de-France regional council required under Article L.214-5 of the Education Code. Parents' associations sued in response.
On 7 May 2025 the Paris Administrative Court (case n° 2510774/1) suspended the circular in an emergency référé ruling, finding it caused serious and immediate harm to families during the active 5–26 May wish-submission window; the prior year's circular became applicable again pending a full-merits decision. A separate Senate question the same year raised complaints of 'incomprehensible, opaque and discretionary' placement decisions in the 8th arrondissement.
Affelnet-Lycée is as much a cautionary case as an administrative one: a nationally scaled, 15-year-old algorithmic placement system was found, by a court ruling and a Senate inquiry in the same year, to be insufficiently transparent and subject to real legal accountability gaps — it was independent judicial review, not the algorithm's own design, that caught the procedural failure.
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Malaysia
Malaysia's Ministry of Education (KPM) and UNICEF deploy SiPKPM, an AI early-warning system tracking 5 million learners on 7 risk …
Malaysia
Malaysia's Ministry of Education added AI to its Student Tracking System (SiPKPM) in 2024 to flag at-risk students from primary …
El Salvador
El Salvador's SIGES early-warning module flags students at risk of dropout (pregnancy, early union, over-age status) across 96% of the …
Chad
From 10-15 August 2026, Chad's national curriculum centre trained about 60 designers in N'Djamena to use AI for document summarisation, …
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