Program

Welcome

09:30-10:00

Registration, Coffee and Croissant


10:00-10:10

Kim Knudsen, DTU Compute

Jan Madsen, Head of DTU Compute


Part 1 (chair Kim Knudsen)

10:10‐10:45  
Ulrik Juul Christensen, CEO, Area9 Group
How should the learning architecture of the future look for mathematics?


10:50‐11:25  

Tor Ole Bigton Odden, University of Oslo
ChatGPT as improv artist, blurry JPEG, or conceptual blender: Models for LLM “cognition”


11:30‐12:00  

Fireside chat with Ulrik and Tor. Moderator Jan-Fredrik Olsen, Lund University.


12:00‐13:15  

Lunch (building 202)


Part 2 (chair Tracy Craig)

13:15‐13:35  

Alexandros Sopasakis, Lund University

AI in Mathematics – Exploring Current Problem Solving Capabilities of State of the Art Systems


13:40‐14:00  
Tue Herlau, Technical University of Denmark:
Developing an AI tool for formative assessment


14:05‐14:35  
Student voices: Samantha Nordqvist, Sofia Isgar, Leon Börjesson, Arthur Zeuner and Vittorio Frattini, Lund University
Practical experience with AI tools for learning mathematics


14:40-15:00   
Panel discussion: AI tools for student learning
Alexandros Sopasakis, Tue Herlau, students.


15:00‐15:30  
Afternoon coffee, tea and refreshments


Part 3 (chair Karsten Schmidt)

15:30‐15:50  
Louise Meier Carlsen, IT University of Copenhagen
How Generative AI, Advances Students’ Modeling Processes


15:55‐16:15  
Md Saifuddin Khalid, Technical University Of Denmark
Learning Introductory University Mathematics Using Generative AI Tools: An Exploratory Study


16:20‐16:40  
Thomas Gjesteland, Universitetet i Agder
Portfolio assessment in mathematics for engineering students with the use of AI.


16:45-17:05   
Panel discussion: University Politics and Positions for AI learning tools
Tommy Gustafsson (Chalmers), Louise Meier Carlsen, Md Saifuddin Khalid, Thomas Gjesteland.


17:05-17:10   
Closing remarks


18:00‐??         
Dinner at Madklubben, Kanalvej 3, 2800 Kongens Lyngby, Denmark