CSEE&T 2024
Mon 29 July - Thu 1 August 2024 Würzburg, Germany
Wed 31 Jul 2024 14:00 - 14:20 at Room 1 - AI in Education and Training Chair(s): Andreas Bollin

We propose a new methodology that harnesses recent advancements in AI techniques to formulate an AI-facilitating code learning cycle for students. The approach builds on an existing learning process and innovatively incorporates pair programming into the learning cycle. It first transforms the example code into scaffold code as exercises through an instructor-AI pairing. The scaffold code serves as an exercise for students to complete and debug on a hardware platform iteratively with an expert AI assistant. This design alleviates instructors’ burden of crafting new exercises for new scenarios and offers students the advantage of interactive learning with scenario diversity. We evaluate the methodology using a suite of example codes and assess the semantic similarity among different code versions produced by AI assistants. The case study shows promising results of the methodology. We further discuss our findings and outline future work for the proposed methodology.

Wed 31 Jul

Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

13:00 - 14:20
AI in Education and Training Research Track at Room 1
Chair(s): Andreas Bollin University of Klagenfurt, Austria
13:00
20m
Talk
Leveraging Lecture Content for Improved Feedback: Explorations with GPT-4 and Retrieval Augmented Generation
Research Track
Sven Jacobs Computer Science Education, University of Siegen, Steffen Jaschke
13:20
20m
Talk
A Survey Study on the State of the Art of Programming Exercise Generation using Large Language Models
Research Track
Eduard Frankford University of Innsbruck, Ingo Hoehn , Clemens Sauerwein University of Innsbruck, Ruth Breu University of Innsbruck
13:40
20m
Talk
Automated Programming Exercise Generation in the Era of Large Language Models
Research Track
Niklas Meissner Institute of Software Engineering, University of Stuttgart, Sandro Speth Institute of Software Engineering, University of Stuttgart, Steffen Becker University of Stuttgart
14:00
20m
Talk
Toward AI-facilitated Learning Cycle in Integration Course through Pair Programming with AI Agents
Research Track
Zhengyuan Wei City University of Hong Kong, Albert Ting-Leung Lee , Victor C. S. Lee Department of Electrical and Electronic Engineering, The University of Hong Kong, Wing-Kwong Chan City University of Hong Kong

Information for Participants
Wed 31 Jul 2024 13:00 - 14:20 at Room 1 - AI in Education and Training Chair(s): Andreas Bollin
Info for room Room 1:

Enter the building and take the main stairs or elevator to the top floor.