STAR.APP – STudent’s Academic perfoRmance: a machine learning APProach for risk assessment and drop out prevention

The Partners

  • Universidad de Zaragoza (coordinator) (ES),
  • Fakulteta za elektrotehniko, računalništvo in informatiko, Univerza v Mariboru (UM FERI, SLO),
  • Centro Studi Pluriversum Srl (ES),
  • Universita Degli Studi Di Camerino (IT), E
  • Edex – Educational Excellence Corporation Limited (CY),
  • Viesoji Istaiga Socialiniu Mokslu Kolegija (LT).

Project Description

The cooperation will explore 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. Using machine learning algorithms, the system is 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.

UM FERI activities

  • The development of the AI system.