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Human-Computer Interaction· 2026Q2

GenAI-based group awareness tools for supporting collaborative learning

Yihang; id_orcid 0009-0009-2436-8145 Zhao, Wei Zhang, Advait Sarkar, Amy Rechkemmer et al.

Short summary

Generative AI (GenAI) can enrich Group Awareness Tools (GATs) by interpreting richer awareness information from collaborative data, potentially improving student coordination and learning.

AI-generated from the title and abstract; the full text is not read.

Key points

  • Group Awareness Tools (GATs) interpret collaboration data to show students differences in cognitive/social states, aiming to trigger coordination for better learning.
  • Generative AI (GenAI) has the potential to enrich the awareness information provided by traditional GATs.
  • A systematic literature review synthesized 32 GAT studies to explore GenAI's potential in this domain.
  • The research proposes analytical hypotheses on how GenAI can enrich awareness information and suggests UI/interaction techniques for presenting it.

AI-generated from the title and abstract; the full text is not read.

Abstract

In Computer-Supported Collaborative Learning (CSCL), Group Awareness Tools (GATs) collect raw data produced during collaboration, interpret awareness information from that data, and visualize awareness information to support students in perceiving differences among themselves in cognitive and social states. These differences can trigger coordination, which in turn supports meaningful learning. Given its language understanding and generative capabilities, Generative AI (GenAI) holds the potential to enrich the awareness of information interpreted from raw data by traditional GATs. To explore this potential, we conducted a Systematic Literature Review (SLR) of 689 papers and synthesized findings from 32 GAT studies. From this, we derived analytical hypotheses about what awareness information GenAI could enrich, which UI and interaction techniques could be used to present and explore this enriched awareness information to potentially prompt coordination, and how different UIs and interaction techniques could be selected for different types of awareness information. This work provides a starting point for designers to design GenAI-based GATs that could support collaborative learning.

The authors' abstract, as published at the source. Human-Computer Interaction, 2026 · DOI ↗

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Field: Developmental and Educational Psychology

Developmental and Educational PsychologyPsychology