Part of the
4TU.
Centre for
Engineering Education
TU DelftTU EindhovenUniversity of TwenteWageningen University
4TU.
Centre for
Engineering Education
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4TU.Federation

+31(0)6 48 27 55 61

secretaris@4tu.nl

Website: 4TU.nl

Project introduction and background information

The problem? Student well-being has come under pressure in recent years and the pandemic situation, combined with the trend towards more blended and online learning, made this issue more salient. At TU/e and other Dutch universities, study stress and a high workload create the need to monitor well-being more efficiently and to empower students to manage their resilience.

The deliverables? First, we produce predictive models, data scripts, and insights based on studentsā€™ online behavior that facilitate the regular monitoring of student well-being. Second, we design personalized interventions that improve existing ā€œone-size-fits-allā€ interventions and that can easily be scaled up.

How to generate them? In Phase I, we make use of process-mining techniques to create predictive models that allow unobtrusive assessment of studentsā€™ well-being. In Phase II, we use co-design approaches with students to iteratively design and test theory-guided personalized educational interventions and feedback, to strengthen studentsā€™ academic resilience.

Objective and expected outcomes

The project will produce intervention tools, predictive models, and insights that facilitate

ā— Unobtrusive assessments of studentsā€™ well-being (potentially in all TU/e Canvas courses) in an automatic and efficient way and

ā— Empowerment of students to maintain or improve their academic resilience and learning outcomes in a personalized way, given indicators of poor or declining student well-being.

Through the extension of ICT-enhanced education, the project makes an important contribution to realizing one of the educational goals of the TU/e education vision 2030. Of particular interest is the issue of whether and to what extent assessment and support of student well-being and resilience need to be tailored to ā€œtraditionalā€ engineering versus other students (e.g., Psychology & Technology students at IE&IS).

Results and learnings

To be announced

Recommendations

To be announced

Practical outcomes

To be announced