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

6 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.HC20261 cited

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.MA2025

Addressing Situated Teaching Needs: A Multi-Agent Framework for Automated Slide Adaptation

Binglin Liu, Yucheng Wang, Zheyuan Zhang +5

The adaptation of teaching slides to instructors' situated teaching needs, including pedagogical styles and their students' context, is a critical yet time-consuming task for educa…

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.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…

cs.AI2025

Investigating Pedagogical Teacher and Student LLM Agents: Genetic Adaptation Meets Retrieval Augmented Generation Across Learning Style

Debdeep Sanyal, Agniva Maiti, Umakanta Maharana +4

Effective teaching requires adapting instructional strategies to accommodate the diverse cognitive and behavioral profiles of students, a persistent challenge in education and teac…