Collaborative AI
2025/26 COIN Seminar at University of Cologne, Universitof Bamberg, HSLU
2025/26 COIN Seminar at University of Cologne, Universitof Bamberg, HSLU
In this seminar we explore a novel educational approach combining AI development with real-time collaboration analytics. You will develop AI-powered sensor systems (smartwatch-based physiological monitoring and bio-electrical plant sensors) to capture "honest signals" of team collaboration. This way you will simultaneously experience collaboration while measuring it, creating unprecedented insights into human-AI teamwork dynamics. This creates a unique "meta-learning" environment where the process of collaboration becomes both the subject of study and the method of learning.
Multi-modal sensing: Combining wearable devices (heart rate variability, activity patterns) with novel plant bio-electrical sensors that detect group emotional states
AI-driven analysis: Machine learning algorithms to identify collaboration patterns, predict team performance, and detect early conflict signals
Cross-cultural validation: Testing collaboration measurement across diverse European educational contexts and cultural backgrounds
Experiential learning: Students understand collaboration by measuring their own teamwork in real-time
Technical skills: Hardware development, sensor integration, AI/ML implementation, data analysis
Ethical awareness: Direct experience with privacy, consent, and behavioral monitoring issues
Cross-cultural insights: Collaboration patterns across different European academic traditions
Students form international teams combining technical and social science backgrounds. Technical students focus on sensor development, while others concentrate on experimental design, data interpretation, and ethical frameworks. All students contribute to AI algorithm development for pattern recognition.
Novel AI algorithms for collaboration measurement
Cross-cultural dataset of European student collaboration patterns
Replicable methodology for measuring human-AI teamwork
Enhanced understanding of collaboration dynamics in diverse cultural contexts
This approach transforms traditional AI education by making students both the developers and subjects of AI-powered human behavior analysis, creating deeper understanding of both technical capabilities and societal implications.
https://sites.google.com/view/coinseminar25
https://sites.google.com/view/coinseminar24-25
https://sites.google.com/view/coinseminar24
https://sites.google.com/view/coinseminar23-24/
https://sites.google.com/view/coinseminar23
https://sites.google.com/view/coinseminar22-23
Seminar Papers of previous years
coinseminar 25