Project aims: We first create predictive Learning Analytics-based models that enable unobtrusive assessment of students’ well-being. Thereafter, we co-design and test theory-guided personalized educational interventions and feedback to strengthen students' academic resilience.

In blended courses of Bachelor’s programs at TU/e, the project combines Learning Analytics and mindset interventions to increase student engagement. It establishes an activating form of blended learning that other teachers can implement by following our online tutorial.

This project explores the use of AI tools for scaffolding student learning in writing. It aims to determine whether and how these tools can help in both the teaching and assessment of writing skills.