most citedUnpacking Interaction Profiles and Strategies in Human-AI Collaborative Problem Solving: A Cognitive Distribution and Regulation Perspective

1 citations · 1 across the 2 of their papers we have counts for

collaborators

7 papers

cs.HC2026

Decoding Student Dialogue: A Multi-Dimensional Comparison and Bias Analysis of Large Language Models as Annotation Tools

Jie Cao, Zhanxin Hao, Jifan Yu

Educational dialogue is critical for decoding student learning processes, yet manual annotation remains time-consuming. This study evaluates the efficacy of GPT-5.2 and Gemini-3 us…

cs.HC2026

Unpacking Interaction Profiles and Strategies in Human-AI Collaborative Problem Solving: A Cognitive Distribution and Regulation Perspective

Zhanxin Hao, Xiaobo Liu, Jiaxin Fan +4

This study adopts an integrated distributed cognition and regulation of learning perspective to examine the collaboration patterns and dynamics of human-AI collaboration when colle…

cs.CY2025

Student-AI Interaction in an LLM-Empowered Learning Environment: A Cluster Analysis of Engagement Profiles

Zhanxin Hao, Jianxiao Jiang, Jifan Yu +2

Integrating Large Language Models (LLMs) into educational practice enables personalized learning by accommodating diverse learner behaviors. This study explored diverse learner pro…

cs.HC2025

Mapping Student-AI Interaction Dynamics in Multi-Agent Learning Environments: Supporting Personalised Learning and Reducing Performance Gaps

Zhanxin Hao, Jie Cao, Ruimiao Li +3

Multi-agent AI systems, which simulate diverse instructional roles such as teachers and peers, offer new possibilities for personalized and interactive learning. Yet, student-AI in…

cs.HC2025

Unpacking Graduate Students' Learning Experience with Generative AI Teaching Assistant in A Quantitative Methodology Course

Zhanxin Hao, Haifeng Luo, Yongyi Chen +1

The study was conducted in an Advanced Quantitative Research Methods course involving 20 graduate students. During the course, student inquiries made to the AI were recorded and co…

cs.CY2025

AI instructional agent improves student's perceived learner control and learning outcome: empirical evidence from a randomized controlled trial

Fei Qin, Zhanxin Hao, Jifan Yu +2

This study examines the impact of an AI instructional agent on students' perceived learner control and academic performance in a medium demanding course with lecturing as the main…