mlsanityData to 7 Oct 2026

PeerGPT: Probing the Roles of LLM-based Peer Agents as Team Moderators and Participants in Children's Collaborative Learning

arXiv 2403.14227 ↗First posted 21 Mar 2024cs.HC cs.AIcited by 18

On the map: LLM agents and tool use → Educational agents and math problem solving

Abstract (arXiv)

In children's collaborative learning, effective peer conversations can significantly enhance the quality of children's collaborative interactions. The integration of Large Language Model (LLM) agents into this setting explores their novel role as peers, assessing impacts as team moderators and participants. We invited two groups of participants to engage in a collaborative learning workshop, where they discussed and proposed conceptual solutions to a design problem. The peer conversation transcripts were analyzed using thematic analysis. We discovered that peer agents, while managing discussions effectively as team moderators, sometimes have their instructions disregarded. As participants, they foster children's creative thinking but may not consistently provide timely feedback. These findings highlight potential design improvements and considerations for peer agents in both roles.

Key facts. Cited by 18 papers in the map (data through 7 Oct 2026). Placed in Educational agents and math problem solving, one of 16 directions in LLM agents and tool use. Builds on 4 of its 35 references that are in the map. First posted on arXiv 21 Mar 2024.

Builds on

4 of 35 references.

References · 4

  1. 2020Language Models are Few-Shot Learnerscited by 32,199
  2. 2024Mathemyths: Leveraging Large Language Models to Teach Mathematical Language through Child-AI Co-Creative Storytellingcited by 21
  3. 2022UX Research on Conversational Human-AI Interaction: A Literature Review of the ACM Digital Librarycited by 20
  4. 2021Curiosity Notebook: The Design of a Research Platform for Learning by Teachingcited by 6

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 3; 2025: 10; 2026: 5.

18 papers.

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  1. 2024TeachTune: Reviewing Pedagogical Agents Against Diverse Student Profiles with Simulated Studentscited by 25
  2. 2025EducationQ: Evaluating LLMs' Teaching Capabilities Through Multi-Agent Dialogue Frameworkcited by 23
  3. 2024A Survey on Human-Centric LLMscited by 13
  4. 2025CATArena: Evaluating Evolutionary Capabilities of Code Agents via Iterative Tournamentscited by 5
  5. 2024Social Life Simulation for Non-Cognitive Skills Learningcited by 3
  6. 2025Carbon and Silicon, Coexist or Compete? A Survey on Human-AI Interactions in Agent-based Modeling and Simulationcited by 3
  7. 2025Are they lovers or friends? Evaluating LLMs' Social Reasoning in English and Korean Dialoguescited by 3
  8. 2025Simulating Filter Bubble on Short-video Recommender System with Large Language Model Agentscited by 1
  9. 2025The Role of Generative AI in Facilitating Social Interactions: A Scoping Reviewcited by 1
  10. 2025Designing Smarter Conversational Agents for Kids: Lessons from Cognitive Work and Means-Ends Analysescited by 1
  11. 2025LLMs and their Limited Theory of Mind: Evaluating Mental State Annotations in Situated Dialoguecited by 1
  12. 2026A Scoping Review of Large Language Model-Based Pedagogical Agentscited by 1
6 more
  1. 2025Learning Nonverbal Cues in Multiparty Social Interactions for Robotic Facilitatorscited by 0
  2. 2025Diffusion-Based Imitation Learning for Social Pose Generationcited by 0
  3. 2026Exploring Learners' Expectations and Engagement When Collaborating with Constructively Controversial Peer Agentscited by 0
  4. 2026Dynamic Framework for Collaborative Learning: Leveraging Advanced LLM with Adaptive Feedback Mechanismscited by 0
  5. 2026Exploring Teachers' Perspectives on Using Conversational AI Agents for Group Collaborationcited by 0
  6. 2026Exploring How Agent Voice Accents Shape Human-AI Collaboration in K-12 Group Learningcited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2025LLM Bazaar: A Service Design for Supporting Collaborative Learning with an LLM-Powered Multi-Party Collaboration Infrastructure
  2. 2026Enhancing LLM Problem Solving via Tutor-Student Multi-Agent Interaction
  3. 2026A Theory-Guided LLM Pedagogical Agent for STEM+C Scaffolding Without Over-Reliance
  4. 2025Exploring Communication Strategies for Collaborative LLM Agents in Mathematical Problem-Solving
  5. 2025LLMs Can't Handle Peer Pressure: Crumbling under Multi-Agent Social Interactions
  6. 2023Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View
  7. 2025LLM Agents for Education: Advances and Applications
  8. 2025Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design