Collaborative learning with AI is studied through ai-agents-peer-learning-discourse, clara-collaboration-literacy-dashboard, multi-agent-llm-social-learning, and collaborative-ai-tutoring — agents can enrich peer discourse when they scaffold rather than substitute for human interaction (active-learning).
Related Pages
- neurodivergent-computing-students — Neurodivergent students prefer smaller teams with explicitly defined roles
- social-robot-study-companions — Co-Creating Buildable and Open Social Robot Study Companions
- less-deliberate-teams-llm — team-based learning
- epistemic-emotions-collaborative-problem-solving — Ordered Network Analysis reveals structured persistence and transition patterns of confusion and fru
📎 8 other pages tagged collaborative-learning
- I can't read your mind": A Study of Neurodivergent Computing Students' Experiences with Collaborative Active Learning
- Balancing Teacher and Student Agency: Co-Orchestration Tool Design Supporting Real-Time Dynamic Pairing
- CLARA: An AI-Augmented Analytics Dashboard for Collaboration Literacy
- Collaborative AI Literacy Framework
- Less Deliberate in Teams: Student LLM Use Across Individual and Collaborative Work
- Measuring Cognitive Engagement in Collaborative Discourse with an Extended ICAP Framework: Comparing Human Annotation, In-Context Learning, and Reflective LLM Agents
- ProPACT: Pair Programming with AI
- To Facilitate or not to Facilitate: Human and LLM Facilitator Tendencies in Online Discussions