STAR.APP - Student’s academic performance: a machine learning approach for risk assessment and dropout prevention

The potentials of Artificial Intelligence (AI) in the field of Higher Education with the aim of decreasing academic dropout and increasing academic attainment across European countries.
The project use AI to create a system that will be able to preventively detect academic students who are at risk for academic dropout. Using machine learning algorithms, the project will be able to define profiles of students at risk at the beginning of the academic year and, with a co-design approach, will then develop new preventive interventions specifically targeting the students at risk of dropout (during the first year of university).

https://www.star-app.eu/

Partner

University of Zaragoza, Spain, Coordinatore
University of Maribor, Slovenia, Partner
Centro Studi Pluriversum, Italy, Partner
SMK University of Applied Social Sciences, Lithuania, Partner
University of Nicosia, Cyprus, Partner
STAR.APP
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Partner
2020-1-ES01-KA203-082090
Erasmus + Strategic Partnership program (KA2)
Unione Europea