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AI & Universal Design for Learning in Higher Education


  • Department of Informatics, UiO 23B Gaustadalléen Oslo, 0373 Norway (map)

About the project

Professors and teaching staff face challenges in creating engaging digital courses, often working in their freetime due to heavy workloads. To tackle this, we’re bringing together experts from different fields and countries to co-create universal solutions that reduce their workload and enhance student learning.


Funded and supported by the American Councils for International Education and the U.S. Department of State, this project will be an international collaboration between technologists, researchers and professors from Norway, Romania, and the U.S. During one week we will host interdisciplinary workshops with the aim to explore how technology and AI can be integrated into higher education to create engaging and effective learning experiences. As an initial case study, we will focus on the field of medicine.

What will you gain from participating?

Professional Development – An opportunity to engage with an exciting topic at the intersection of AI and education.

International Collaboration – Brainstorm and collaborate with professors from different countries.

Research & Publishing – Potential for continued collaboration and the opportunity to publish an international research article based on the workshop outcomes.

Overview of the week

📅 Dates: March 17 – 21

📍 Location: Gaustadalléen 23B Oslo, 0373 (Department of Informatics, UiO)

Time Commitment: We understand that you likely have a busy schedule, and we highly appreciate any level of participation that suits you best. Our plan includes discussions, presentations, and work sessions lasting approximately 2–3h per day. It is possible to join for just one day based on the interest of participants

Preliminary schedule

  • Day 1: Introduction to AI in higher education – challenges and opportunities

  • Day 2: Best practices in pedagogical engagement & AI in course design

  • Day 3: Co-creation of a teaching framework which leverages AI

  • Day 4: Testing & refining the framework

  • Day 5: The road ahead – action plan and potential research collaborations