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Good practice Imported

Algeria's AI-Powered National Baccalaureate Orientation Platform

Algeria · Algiers · See the Algeria profile · See the Algiers profile

Evidence: Descriptive / self-reported Top 91% 27/100 · Ask Evidence Copilot about this practice

Algeria's Ministry of Higher Education deployed a nationwide AI matching algorithm placing 340,901 baccalaureate graduates into university programmes in 2025 (97%+ placed, 70% got a top-3 choice); a 2026 AI chat assistant was added, but no independent evaluation exists.

340,901 students
Students matched (2025 baccalaureate cohort) (2025)
97 %
Students placed within designated timeframe (2025)
70 %
Students admitted to one of top 3 choices (2025)
~40,000 students
Students guaranteed job placement post-graduation (2025)
600 specialties
New specialties added for 2026 intake (2026)
Algeria's AI-Powered National Baccalaureate Orientation Platform

Details

Maturity
Scaling
Promoter
Algerian Ministry of Higher Education and Scientific Research
Period
2024-present
Keywords
higher education, admissions, public administration

Context

In September 2025, Algeria's Ministry of Higher Education and Scientific Research rolled out a nationwide algorithmic matching system to place graduating baccalaureate students into university programmes — described by the ministry as the first large-scale integration of AI-powered decision-making in the country's admissions process.

Activities

The system matched students who passed the 2025 baccalaureate exam against their stated preferences, exam scores and institutional capacity limits. For the 2026 intake the ministry expanded the platform with a conversational AI assistant letting bacheliers ask questions about their orientation options directly, alongside 600 new specialties concentrated in science and AI-related fields.

Results

The system matched 340,901 students who passed the 2025 baccalaureate exam. According to Minister Kamel Baddari, over 97% of students received a placement within the designated timeframe and 70% were admitted to one of their top three programme choices; roughly 40,000 students were guaranteed job placements in the education and healthcare sectors upon graduation.

Conclusions

No independent, third-party evaluation of the matching algorithm's fairness, methodology, or downstream outcomes (programme completion, employment) has been published, and the ministry has not disclosed the algorithm's technical design or a formal appeals mechanism for contested placements.

Implementation
Indicative cost
High (€500k–€5M) — Not disclosed; a national algorithmic matching and (from 2026) conversational-AI system covering the entire baccalaureate cohort — implies substantial national IT investment.
Time to results
Medium (1–3 years) — Rolled out September 2025 for the 2025 cohort; expanded with a conversational AI assistant and 600 new specialties for the 2026 intake.
Staffing & skills
Run centrally by the Ministry of Higher Education and Scientific Research, 2026 expansion adds a conversational AI assistant for student queries

Conditions for success

  • National-scale exam and preference data infrastructure to feed the matching algorithm
  • Institutional capacity data to inform matching limits

Common failure modes

  • No disclosed technical design or formal appeals mechanism for contested placements
  • No independent audit of fairness or downstream outcomes (completion, employment)

Where it fits

Governance type
national ministry-run algorithmic system
Scale
national — full baccalaureate cohort (340,901 students in 2025)
Income level
middle-income (Algeria)

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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