SiPKPM — Malaysia's AI-Enhanced Student Tracking System for Early Dropout Detection
Malaysia
Malaysia's Ministry of Education added AI to its Student Tracking System (SiPKPM) in 2024 to flag at-risk students from primary …
Germany · Dortmund · See the Germany profile
Evidence: Observational / pre–post Top 59% 47/100 · Ask Evidence Copilot about this practice
Since winter 2012/13, Germany's DoSV has run a nationwide deferred-acceptance algorithm matching applicants to capacity-restricted degree programmes. In 2024/25 it coordinated 155 universities and 1,762 programmes, including 32,966 applicants for 10,219 medicine places.
Before 2012, German applicants to capacity-restricted ('NC') programmes had to apply separately to each institution, often holding multiple simultaneous offers or none, leaving seats empty even as qualified applicants went unplaced. The Stiftung für Hochschulzulassung (Foundation for University Admissions) built the Dialogorientiertes Serviceverfahren (DoSV), a centrally coordinated, dialogue-based matching process.
Let applicants register once via hochschulstart.de, apply to up to 12 programmes, and rank preferences, while institutions independently rank applicants, resolved through an iterative university-proposing deferred-acceptance process that lets applicants hold and re-rank multiple offers before committing.
For medicine, dentistry, veterinary medicine and pharmacy, admission is split by statute into three quotas: 30% by Abitur grade, 10% by additional qualifications, and 60% by each university's own selection criteria.
For winter semester 2024/25, 155 universities coordinated 1,762 study programmes through the DoSV; within the medicine quota alone, 32,966 applicants competed for 10,219 places, roughly 3.2 applicants per place. A peer-reviewed 2022 Journal of Political Economy study using real DoSV data found applicants respond suboptimally to early offers under simpler mechanisms, supporting the dynamic multi-offer design actually used.
The DoSV is a rule-based optimisation/matching algorithm rather than a machine-learning system; no major scandal or bias finding has been reported against it, with the main documented friction being applicant confusion over its multi-week, multi-quota process.
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Where this practice's information was retrieved from, and when.
Malaysia
Malaysia's Ministry of Education added AI to its Student Tracking System (SiPKPM) in 2024 to flag at-risk students from primary …
Chad
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Algeria
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Sao Tome and Principe
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