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.

This project develops frameworks for promoting and assessing student learning in academic writing when Generative AI is used, focusing on student-GenAI interaction processes rather than written outputs.

This PhD project aims to understand what elements of dashboards are working, and why, and to design dashboards that support specific learning outcomes in a theory-driven manner. We will also consider students' traits to personalise the feedback given through dashboards.

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.