activity
20232026
most citedDistinguishing performance gains from learning when using generative AI

44 citations · 137 across the 25 of their papers we have counts for

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16 papers · 1 filter

cs.HC2026

Socially fluent AI decouples conversational signals from source identity in online interaction

Lixiang Yan, Yueqiao Jin, Xibin Han +1

Socially fluent agentic AI can now participate in online interaction in ways that resemble ordinary human conversation, potentially weakening people's ability to infer who is human…

cs.HC2026

Building AI Companions that Prioritise Learning over Performance

Hassan Khosravi, Dragan Gasevic, Shazia Sadiq +7

Large language models (LLMs) are rapidly transforming knowledge work by improving the quality and efficiency of tasks such as writing, coding, and data analysis. However, their gro…

cs.HC2026

Toward Scalable Co-located Practical Learning: Assisting with Computer Vision and Multimodal Analytics

Xinyu Li, Linxuan Zhao, Yueqiao Jin +5

Co-located practical learning leaves evidence in visible actions around patients, task resources and room zones, but these traces are often recovered through live observation or re…

cs.HC2025

The Social Blindspot in Human-AI Collaboration: How Undetected AI Personas Reshape Team Dynamics

Lixiang Yan, Xibin Han, Yu Zhang +8

As generative AI systems become increasingly embedded in collaborative work, they are evolving from visible tools into human-like communicative actors that participate socially rat…

cs.HC2025

Emergent Learner Agency in Implicit Human-AI Collaboration: How Supportive and Contrarian AI Personas Reshape Interaction

Yueqiao Jin, Roberto Martinez-Maldonado, Dragan Gašević +2

As agentic artificial intelligence (AI) systems move beyond tool-like support toward more autonomous, team-like roles, a central question concerns the extent to which such systems…

cs.HC2025

Agentic AI as Undercover Teammates: Argumentative Knowledge Construction in Hybrid Human-AI Collaborative Learning

Lixiang Yan, Yueqiao Jin, Linxuan Zhao +6

Generative artificial intelligence (AI) agents are increasingly embedded in collaborative learning environments, yet their impact on the processes of argumentative knowledge constr…