44 citations · 53 across the 3 of their papers we have counts for
3 papers
cs.LG2026★ 44 cited
Distinguishing performance gains from learning when using generative AI
Lixiang Yan, Samuel Greiff, Jason M. Lodge +1
Generative artificial intelligence (AI) is increasingly being integrated into education, where it can boost learners' performance. However, these uses do not promote the deep cogni…
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.HC2024★ 9 cited
Promises and challenges of generative artificial intelligence for human learning
Lixiang Yan, Samuel Greiff, Ziwen Teuber +1
Generative artificial intelligence (GenAI) holds the potential to transform the delivery, cultivation, and evaluation of human learning. This Perspective examines the integration o…