UTDesignLabEduFlex Workshop at ITC Explores the Future of Flexible, Personalised Learning

EduFlex Workshop at ITC Explores the Future of Flexible, Personalised Learning

On September 30, ITC hosted the EduFlex Workshop, bringing together nearly 30 researchers, educators, and industry professionals to explore the future of flexible, personalised learning. The event marked the first in a series of workshops organised within the EduFlex project.

The EduFlex project aims to develop an ecosystem that empowers learners to create personalised learning paths from an integrated course offering. While the current focus is on the geoinformation, earth observation, and space sectors, the project will also provide recommendations for broader application across other domains.

Participants included representatives from UT’s Design Lab and Data Science & AI Lab, ITC’s Geoversity and MGEO programmes, GeoBusiness Nederland, Kadaster, NL Space Campus, and HAN and HAS Universities of Applied Sciences. They engaged in practical sessions and discussions focused on modelling and connecting educational offerings to meet the ever-growing demand for flexible individual Lifelong Learning paths.

During the workshop, the EduFlex project team introduced the challenges and approaches in modularised education (Rob Lemmens), shared the state of the art in the domain of flexibly organised education systems (Wietske Bijker) and gave training (Stanislav Ronzhin) focused on practical know-how in the creation of educational offerings and occupational profiles for personalised learning. In the end, participants designed their own learning paths, choosing to represent either education providers or job market stakeholders. A separate track focused on technical challenges related to sharing educational resources and preparing them for AI integration.

 

Learning path designed by participants

Learning path designed by participants 

This workshop marked the beginning of a series of events within the EduFlex project.  Educational offerings, occupational profiles and learning paths created by the participants, together with other materials, will be used as input for a prototype platform for creating and sharing cross-domain and cross-level learning paths. The evaluation of the platform will be the focus of the next workshop, which will take place in December 2025.

If you are keen to connect your course offerings to our platform and prepare them for AI-based learning paths, please contact us.

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Workshop participants