CSCL Long Paper

CSCL Long Paper Session | cL-7_AI-COLLAB | Collaboration with AI

Thu Jun 18, 10:00 AM–11:30 AM · ALP 2100

Papers investigate human-AI collaboration in learning, comparing peer versus AI assistance in graph theory and examining cognitive, social, and metacognitive dimensions of student-student-LLM problem solving. Other talks design multi-agent AI systems and use deliberately biased chatbots to prepare teachers for collaboration.

4 talks in this session

#795: When Peers Outperform AI (and When They Don’t): Interaction Quality Over Modality

Caitlin Morris, Pattie Maes

Human-AI Collaboration & Teaming Computer-Supported Collaborative Learning Motivation, Emotion & Engagement

#66: Designing Multi-Agent AI Systems for Collaborative Learning: Strategic Questioning Patterns and Cognitive Development in Large-Scale Online Learning

Xiaojie Niu, Jingjing Zhang

AI in Education Human-AI Collaboration & Teaming Computer-Supported Collaborative Learning

#166: Biased Chatbot Interaction as Preparation for Collaborative Learning

Tanmay Sinha, Kumaran Rajaram

AI in Education Human-AI Collaboration & Teaming Epistemic Cognition & Argumentation

#1002: Exploring Cognitive, Social, and Metacognitive Dimensions of Student-Student-LLM Collaboration in Problem Solving

Victoria Delaney, Ibrahim Oluwajoba Adisa

Generative AI & Large Language Models Human-AI Collaboration & Teaming Computer-Supported Collaborative Learning