AI Nexus collaborates with researchers to design, validate and deploy explainable artificial intelligence models to classify, and construct student profiles that help educational institutions to obtain early alerts of students that could be in risk of dropout.
Similarly, our work promotes guidelines for human interventions that help faculty and academic leaders to understand best practices to help students.
Collaborations:
- Pontificia Universidad Católica de Chile
- Universidad Austral (Argentina)
- Tecnológico de Monterrey (México)
Read more about our research: Call on Student Dropout publications