Learning with Machines: AI in Classroom Teaching – an Act-E Webinar and Workshop
| Host Institution |
UiT – The Arctic University of Norway |
|---|---|
| Start | 2025-12-05 14:00:00 |
| End | 2025-12-05 17:00:00 |
| Duration | 3 Hours |
| Mode | Online |
| Location | Online (Zoom) |
| Target Groups | Academic Staff |
| Contact Person | Kim Bredesen, Communications Officer, UiT kim.bredesen@uit.no |
This webinar on AI for Enhanced Classroom Teaching explores the intersection of innovation and pedagogy, presenting key insights and outcomes from the ACT-E project.
The event examines how generative AI can be employed to empower educators, enhance student engagement, and transform learning experiences across diverse academic disciplines.
The webinar will be divided into three major sections:
- The introductory part will introduce the project ‘ACT-E: Using AI for Enhanced Classroom Teaching’, with a brief overview of its activities and outcomes, and the team members.
- This is followed by a short introduction to AI in higher education (introductory concepts; general classification of AI and its examples; the main applications of AI in education with examples, and AI literacy).
The second part will introduce the case studies that the team members worked on and will be carried out in break-out rooms. This will give the participants who registered for the webinar a chance to experience the actual implementation of AI in different types of activities and different fields of study, reflect on the process and exchange their feedback with the webinar presenters.
Tentative titles of the workshops in parallel break-out rooms are as follows:
- Practicing stakeholder mapping through role-play with GenAI
- AI applications in the field of mathematics in economics – a follow-up of a student survey
- Different licenses and open source LLMs
- GenAI in academic writing – testing the models for GenAI feedback in academic writing
- Experiences with AI in higher education: lessons learned and challenges
The third part will bring the participants and presenters back together in the main room to share their insights and experiences from the break-out sessions. This will be followed by a guidelines proposal for using GenAI, based on revised Bloom’s taxonomy and the project outputs. The webinar will be wrapped up with some closing remarks and participants’ feedback survey.
The project team members who will deliver the online webinar are as follows:
Signe Annie Sønvisen, Jarl Taxerås Flaten, Omar de la Cruz Vicente, Mario Burgui Burgui, Daniel Rodríguez García, Celia Sales, Dragana Vuković Vojnović, Vesna Bulatović, Djordje Herceg and Saša Vukmirović.