Workshops

Choose your workshops

Dear participants,

During the eduhub days, we are offering three workshop sessions: two on the first day and one on the second day. For each session, you will choose one workshop:

Thursday, 5 November 2026

13:30 – Workshop session 1 (one of your choice)
14:30 – Workshop session 2 (one of your choice)

Friday, 6 November 2026

09:00 – Workshop session 3 (one of your choice)

Each workshop is limited to 30 participants. To distribute everyone across the rooms, we will ask you on the first day to sign up for all three sessions, choosing from the 12 workshops on offer. To make registration on the day quick and smooth, we kindly ask you to read through the workshop descriptions now, so you have your choices ready when you arrive.

05.11.2026 - First session

The first session will take place at 13:30, and you may choose only one workshop from the following list.

Workshop 1.

Rethinking Open Educational Resources in the Age of AI
This workshop proposes to explore how OER should evolve to remain relevant in an AI-driven world, as AI transforms how educational resources are created, discovered and reused. Together, participants will discuss challenges around discoverability, metadata, licensing, quality and AI-generated content, and co-create ideas for the future of open education in Swiss higher education. The outcomes will inform the future activities of the Switch eduhub Special Interest Group on OER.
Lead by Annechien Helsdingen, EPFL

Workshop 2.
From pedagogical intent to student experience: designing and supporting learning through simulation.
This workshop proposes to explore how educators can be helped to transform learning beyond digital tool adoption. Using Management Information Systems and the MANO, SOLO and LARGO simulations as a case study, this 45-minute interactive workshop explores how pedagogical intent becomes active student practice, feedback and concept connection. Up to 30 participants will engage in a mini-simulation, evaluate a course case study, address inclusion and evidence-informed design, and leave with practical preparation tools.
Lead by Ulysse Rosselet, HE-Arc

Workshop 3.
From AI Strategy to Practice: Sharing University Experiences with AI Assistants
Drawing on ETH Zurich's AI Platform and its AI Assistants, their integration into Moodle, and the plans for further AI services, we will explore the key implementation decisions: defining objectives, preparing data, selecting models, ensuring privacy, integrating systems, and maintaining services. Participants will work in small groups and bring examples of AI services from their own institutions – whether already implemented, piloted or planned – across the following three use cases: teaching and learning; support; and institutional workflows (agents). They will then compare requirements and approaches, sharing challenges, solutions and lessons learned.
Lead by Alessia Battisti (ETHZ) Sophie Zimmermann (ETHZ)

Workshop 4.
Build a Reflective Learning Journey in 15 Minutes: Can an AI Assistant Give Lecturers the Confidence to Teach Reflectively?
In the AI age, lecturers are more and more required to move beyond subject expertise to reflective pedagogies, but many don’t know how or don’t trust themselves to. In this hands-on workshop, each participant will work with Rflect's AI-"Teaching Assistant" to design a reflective learning journey for their own course in 15 minutes. The group then discusses: did it build confidence, and where should AI stay out? Bring a laptop if you can, otherwise you can work in pairs.
Lead by Niels Rot

05.11.2026 - Second session

The first session will take place at 14:30, and you may choose only one workshop from the following list.

Workshop 5.

Build your own digital credential
This workshop proposes to explore digital confirmations of achievements, which are advancing everywhere. In the first part, it demonstrates how several universities in Switzerland currently issue credentials for continuous education, for student engagement, for summer schools and for other purposes. In the second part, participants work in small groups to build their own content and branding for badges, microcredentials etc. and perform a live issuance to understand the associated efforts and workflows.
Lead by Josef Spillner

Workshop 6.

Designing AI-Supported Learning Activities with MentorMate
This workshop explores how AI can support students without taking over their thinking. Each participant uses MentorMate’s Teaching-Design Mate to turn a challenge from their teaching into a didactically grounded AI-supported learning activity. Starting with learners’ needs rather than technology, participants define the AI’s role, support and pedagogical guardrails. They leave with an intervention outline ready to refine, test and adapt to their setting.
Lead by Kurt Pernstich

Workshop 7.

Beyond Attendance: The Value of Presence in Higher Education
This workshop proposes to explore what makes students choose to attend in person, at a time when digital content, recordings and AI tools increasingly replace traditional knowledge transfer and many lecture halls are becoming emptier. It looks at how institutions can redesign learning experiences around engagement, community, interaction and flexibility. Participants will discuss ideas to make on-campus learning meaningful and future-ready.
Lead by Henrike Hamelmann, FFHS

Workshop 8.

AI Made It. Can I Use It? What Educators Need to Know About Generative AI and Copyright
This workshop explores what educators need to know about copyright when using generative AI to create educational resources. Generative AI is transforming how we create and adapt teaching and learning materials. But who owns AI-generated content? When is it protected by copyright, and how much human contribution is needed? These questions are addressed through practical examples and interactive questions involving AI-generated and AI-assisted texts and images
Lead by Anna Picco Schwendedener and Gianfranco Valsecchio

06.11.2026 - Third session

The first session will take place at 9:00, and you may choose only one workshop from the following list.

Workshop 9.

From Contrefaçons to Prompts: A Diodati Challenge to Reinvent Assessment in the Age of AI
In the 18th century, the Société typographique de Neuchâtel thrived by reprinting the works of others, until the authorities caught up and publicly burned one of its books. Today, generative AI makes copying effortless again, and higher education faces the same question: who wrote this, and what does it prove? This hands-on, 45-minute workshop invites participants to stop policing the copy and start redesigning the proof, moving towards process-led assessment that demonstrates the skills graduates actually need.
Led by Hervé Didiot-Cook (Bluetrain) and Antoine Casanova-Mazet (HIM Business School)

Workshop 10.

Anchoring effect. Two ways to do creative tasks with AI
This workshop draws on our Brain–AI Literacy research at UniDistance Suisse. Participants first test their intuitions in a 20-item true/false quiz on AI and learning. Then two groups tackle a creative challenge: one uses AI from the start, the other works alone first and then decides whether to use AI. In the debrief, we compare results, group dynamics and reflections on our own thinking, and derive principles for integrating AI into teaching.
Lead by Maria Prosvirnieva

Workshop 11.

Framework as Prompt: Building Interactive Courses with AI and eduLS
This workshop proposes a hands-on introduction to eduLS (ausbildung.pages.fhnw.ch/eduls), a modular framework that lecturers or AI agents can use to turn lecture slides, topic lists or existing materials into interactive courses. Courses built with eduLS are already in use by students, for example Python for Life Sciences (ausbildung.pages.fhnw.ch/pyls). Participants will explore these examples, see AI-assisted course creation in action and discuss how the approach can be applied to their own teaching.
Lead by Tilman Schieber and Oliver Mülken

Workshop 12.

Rewarding the «Extra Mile»: How do we recognise student engagement?
This workshop proposes a peer exchange on recognising what happens outside the curriculum, such as peer support, volunteering and student projects. This engagement often goes unrecognised, although it reflects students’ skills and personal qualities. ZHAW is piloting digital badges to make it visible: transparent, standardised and shareable on social media, they enhance employability. Participants will compare governance, workflows and technical approaches across institutions: What do you reward, how – and how successfully?
Lead by Thomas Korner, ZHAW, Head of the Innovation Lab