3 papers
cs.CY2026
When AI Agents Learn from Each Other: Insights from Emergent AI Agent Communities on OpenClaw for Human-AI Partnership in Education
Eason Chen, Ce Guan, Zhonghao Zhao +5
The AIED community envisions AI evolving "from tools to teammates," yet most research still examines AI agents primarily through one-on-one human-AI interactions. We provide an alt…
cs.HC2026
When AI Agents Teach Each Other: Discourse Patterns Resembling Peer Learning in the Moltbook Community
Eason Chen, Ce Guan, A Elshafiey +4
Peer learning, where learners teach and learn from each other, is foundational to educational practice. A novel phenomenon has emerged: AI agents forming communities where they sha…
cs.HC2026
OpenClaw AI Agents as Informal Learners at Moltbook: Characterizing an Emergent Learning Community at Scale
Eason Chen, Ce Guan, Ahmed Elshafiey +5
Informal learning communities have been called the "other Massive Open Online C" in Learning@Scale research, yet remain understudied compared to MOOCs. We present the first empiric…