Thematic webinars

The thematic webinars are open to all interested parties. It is possible to register for individual webinars shortly before they are held. The webinars will primarily be held in August - November 2025 and will be announced on this page.

Also check out the webinars and other events from IT-vest: https://www.it-vest.dk/arrangementer
 


September

04.09.25 | From Classroom to Newsroom: Integrating AI into Journalism Education

Date: 04.09.25 | 14.00-15.00
Presenter(s): Ditte Elnif, Journalistic Associate Professor, Journalism, SDU
Registration: https://syddanskuni.zoom.us/meeting/register/nMCBmjWvS8O-gH0rPvuPDw

10.09.25 | Building Copilot Agents for University Teaching and Learning

Date: 10.09.25 | 14.00-15.00 
Presenter(s): Mads R. Dahl, Special Consultant, Centre for Educational Development 
Registration: Link

What if your course materials could respond, guide, and adapt to student needs? This webinar introduces Copilot agents in university teaching—custom AI tools that can, for example, turn core readings into interactive learning support. It offers practical strategies for designing and using these assistants in your own teaching. 

12.09.25 | Prompting as a disciplinary practice

Date: 12.09.25 | 14.00-15.00 
Presenter(s): Ida Hansen & Savhannah SchulzCentre for Educational Development 
Registration: Link

Every discipline has its own ways of writing, reasoning, and approaching inquiry—and those differences matter when teaching students to prompt large language models. This webinar explores how disciplinary habits influence the way we teach prompting, and offers practical activities to help you explore disciplinary prompting in your own teaching context.

17.09.25 | AI tools for literature searches – how useful are they in academic work?

Date: 17.09.2025 | 13.00-14.00
Presenter(s): Steffen Gjedde & Gina Bay, Aarhus University Library
Registration: Link

In this webinar we will present an overview of free AI tools for literature searches and discuss: 

  • What are the advantages and limitations of these tools? 

  • Which free AI tools for literature searches are best suited for academic work? 

  • Where does the AI tools fit in compared to traditional search methods and databases? 

The participants will get the chance to try out some of the tools. 

October

10.10.25 | Teaching Programming in an AI-Assisted World

Date: 10.10.25 | 14.00-15.00
Presenter(s): Stephan Smuts, Center for Humanities Computing
Registration: Link

Generative AI is reshaping how we approach programming and data analysis. This webinar focuses on how to navigate AI-assisted coding in your own practice and teaching, along with the potentials and challenges that come with it.

29.10.25 | Fairness, Dignity and Authenticity in the age of AI

Date: 29.10.25 | 13.00-14.00
Presenter(s): Jes Lynning Harfeld, Associate Professor, Department of Culture and Learning, Aalborg University
Registration: Link

This webinar is an introduction to some key ethical concerns in artificial intelligence through the lenses of fairness, dignity, and authenticity. We will explore how biased data can lead to unfair outcomes, how AI may affect human dignity through surveillance or dehumanizing automation, and how tools like deepfakes or AI-generated content challenge our sense of what is real and challenge human creativity.

November

04.11.25 | AI as a Sparring Partner, Tool, and Object of Reflection in an Empirical Inquiry

Date: 04.11.25 | 14.00-15.00 
Presenter(s): Inger-Marie Falgren Christensen, Assistant Professor, Department of Design, Media and Educational Studies, SDU 
Registration: Link

In the co-taught course Learning and Knowledge Sharing (5th semester, BA level), students are required to design and conduct an empirical investigation throughout the semester. The focus is on knowledge organisation, knowledge sharing, and/or learning within a specific, self-selected organisation or context, which serves as the empirical case. To support this case-based inquiry, previous iterations of the course have introduced a range of thematic sessions addressing key methodological concerns: What constitutes a well-formulated research question? What is a research design, and how is data collection managed? Which analysis methods are appropriate? How should findings be presented? 

In the current iteration, we have chosen to integrate structured activities in which students engage with AI as both a collaborative partner and methodological tool across various phases of the research process. These include iterative refinement of research questions, literature discovery, initial drafting of interview guides, and document analysis. Central to these activities is an iterative and reflective engagement with AI-generated outputs, where students are encouraged to critically assess the relevance and validity of the output, and to experiment with prompting strategies to enhance the quality and applicability of the results. 

This webinar presents the design of these AI activities and shares preliminary insights from both teacher and student perspectives with a focus on pedagogical implications and methodological considerations. 

20.11.25 | How can teachers draw on AI-assisted feedback to support student learning?

Date: 20.11.25 | 14.00-15.00 
Presenter(s): Rasmus R. Hansen, PhD Fellow, Centre for Educational Development
Registration: Link

Generative AI chatbots can provide students with personalised, adaptive feedback. But how can we design such interactions in ways that support learning, while also recognising how AI changes the nature of feedback? This webinar presents current research on AI-enhanced feedback. Drawing on established educational theory and emerging empirical work, it highlights key considerations for those interested in developing AI-supported teaching interventions.