Program

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Program Overview

Detailed Program

Tuesday, Sept. 22, 2026

17:00 – 20:00 Registration and Welcome Reception

Wednesday, Sept. 23, 2026

08:30 – 09:00 Registration

09:00 – 09:30 Opening 

09:30 – 10:30 Keynote Armin Weinberger, Saarland University

10:30 – 11:00 Coffee Break & Poster Session 

11:00 – 12:00 Session 1: AI-Supported Learning and Collaborative Regulation

12:00 – 13:30 Lunch

13:30 – 14:30 Session 2:  AI-Supported Learning and Collaborative Regulation

14:30 – 15:00 Coffee Break & Poster Session

15:00 – 17:00 Session 3: Designing Human-AI Collaboration

19:30 Conference Dinner at von Nell 

Thursday, Sept. 24, 2026

09:30 – 10:30 Session 4: Collaborative Communities and Mutual Assistance

10:30 – 11:00 Coffee Break & Poster Session

11:00 – 12:00 Session 5: Well-being and Care in Collaborative Settings 

12:00 – 13:30 Lunch

13:30 – 14:30 Poster Session

14:30 – 15:00 Coffee Break & Poster Session

15:00 – 16:30 Session 6: Communication and Collaborative Knowledge Practices

16:30 – 17:00 Closing

City Tour

Friday, Sept. 25, 2026 

Trip Cochem 

Session 1: AI-Supported Learning: Feedback and Assessment

[#11, Full] Evaluating LLM-Generated Feedback in Distance Project-Based Learning: Learner Perceptions and Comparison with Teacher Feedback
Kosuke Sasaki, Tomoo Inoue

[#12, Full] AI-Assisted Formative Assessment in Programming Education: Comparing LLM-Based and Teaching Assistants
Eleni A. Dimitriadou, Sondre Aune Stokke, Sebastian Hegreberg, Andy Nguyen, Michail Giannakos

Session 2: AI-Mediated Collaboration and Regulation

[#1, Full] Designing an AI-Mediated Collaboration Regulator for Pair Programming: A Socio-Technical Design Framework
Mamoun Nawahdah

[#6, WiP] Exploring the Role of Personality-Driven LLMs in Human-AI Collaboration
Ishari Amarasinghe, Jacopo Amidei, Clara Pagès-Gallego, Salvatore Romano, Rubén Nieto Luna
 

Session 3: Designing Human-AI Collaboration

[#7, Full] A Coordination Layer for Explainable LLM-Driven Process Selection  
Marcel Pehlke, Marc Jansen

[#13, Full] Effects of Motion Parameters on User Perceptions of a Physical Monitor Agent for Learning Support  
Yusei Ikeda, Ryo Matsubayashi, Kenro Go, Yusuke Ichikawa, Hironori Egi, Akihiro Miyata

[#14, Full] Preliminary Evaluating Cognitive Delegation in AI-Assisted Science Fiction Prototyping through Time-Lag Analysis  
Tomoya Minegishi, Kenji Nakamura, Hirotaka Osawa

[#22, WiP] Architectural Challenges for Human-in-the-Loop Federated Learning in Collaborative AI Systems  
António Ferreira, João Maldonado, Dennis Paulino, Carlos Duarte, Marco Oliveira, Ademar Aguiar, Filipe Correia, Hugo Paredes
 

Session 4: Collaborative Communities and Mutual Assistance

[#4, Full] Predicting Interdisciplinary Collaborations: A Multi-Layered Network Approach
Roger G. March, Jordi Borrell, Juan Miguel Alfonso Habana, Michele Starnini, Davinia Hernández-Leo

[#16, Full] A Prototype Development of a Serious Game to Raise Awareness of Mutual Assistance During Disaster Evacuation
Masakazu Furuichi, Tomohiro Kokogawa, Akihiro Nakamura, Kan Shimazaki, Megumi Aibara, Keihiro Ochiai

Session 5: Well-being and Care in Collaborative Settings

[#21, Full] Mining Weak Signals in Caregiver Discussions: A Preliminary Study on a Public Health Forum Corpus
Paul Cariou, Kaoutar Akhsass, Luiz Angelo Steffenel, Manuele Kirsch Pinheiro

[#15, WiP] “Am I Okay?”: Mapping the Students’ Individual and Collective Well-being Journey from Self-Assessment to Self-Determination
Khadija El Aadmi-Laamech, Patricia Santos, Davinia Hernández-Leo

Session 6: Communication and Collaborative Knowledge Practices

[#8, Full] Sharing Anonymized Silence Motives: Impact on Mutual Understanding and Discussion Fluency  
Koki Yanagii, Atsuto Kurokochi, Kazuyuki Iso, Masayuki Ihara, Minoru Kobayashi

[#20, Full] From Scoring to Collaborating: A Scoping Review of Automated Writing Evaluation for Argumentative Writing in Higher Education  
Valentina Aravena, Nelson Baloian, Claudio Álvarez, Gustavo Zurita

[#26, Full] Posing and Improving Educational Questions for Video Learning Materials Using a Crowdsourcing Platform  
Ari Nugraha, Tomoo Inoue