Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
October 20, 2025Open Access

"Shall We Dig Deeper?": Designing and Evaluating Strategies for LLM Agents to Advance Knowledge Co-Construction in Asynchronous Online Discussions

View Full Paper
Ask AI
Bookmark
Share

Authors

YZYuanhao ZhangWLWenbo LiXWXiaoyu Wang

Discussion

Loading...

Member takes

Overview

Design workshop reveals AI intervention styles improve knowledge co-construction in asynchronous discussions, suggesting more adaptive approaches.

Key Points

  • AI interventions enhanced the depth of knowledge progression in asynchronous online discussions, improving outcomes.
  • The within-subject study involving 60 participants found that different AI styles affected content and user experience distinctively.
  • A design workshop explored various AI intervention strategies to facilitate the co-construction of knowledge in online settings.
  • Findings highlight the need for adaptive AI agents to target stagnation in online discussions to foster deeper engagement.

Cite This Study

Zhang et al. (2025) studied this question.

synapsesocial.com/papers/68f6196ee0bbbc94fac3659ehttps://doi.org/10.48550/arxiv.2509.23327
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1LLM-based Collaborative Agents with Pedagogy-guided Interaction Modeling for Timely Instructive Feedback Generation in Task-oriented Group Discussions2024
  2. 2LLM-based Collaborative Agents with Pedagogy-guided Interaction Modeling for Timely Instructive Feedback Generation in Task-oriented Group Discussions2025 · 6 citations
  3. 3LLMs for Group Discussion Support: A Scoping Review, Taxonomy of Interventions, and Agency-Oriented Design Space2026
  4. 4Pioneering Efforts towards AI-Assisted Reflective Political Discourse2024
  5. 5The impact of an LLM-based educational agent on learning achievement, cognitive dynamics, and student perceptions in computer science education2026