Yiqiu Zhou
Biographic Data
| ID | 8369752 |
|---|---|
| NAME | Yiqiu Zhou |
| GIVEN NAMES | Yiqiu |
| FAMILY NAME | Zhou |
| SIGNATURE | ZHOU Y |
| AFFILIATIONS | University of Illinois Urbana-Champaign |
| ORCID | 0009-0000-9004-9307 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
From individual annotations to shared attention
Social annotation (SA) tools in computer-supported collaborative learning (CSCL) environments facilitate collective knowledge construction by supporting students externalize and share evolving understandings. In this study, we extend SA to an immersive astronomy simulation, where annotations took the form of visual highlights on celestial objects and constellations rather than written comments. While research has predominantly focused on the quan…
Leveraging Multimodal Large Language Models to Analyse Student Exploration Behaviours in Educational Game Environments
Human-AI collaboration in classroom video analysis
Video-based analysis of classroom interactions offers valuable insights into user behaviour and engagement, yet manual coding remains labour-intensive and difficult to scale. Traditional computer vision models automate some tasks but rely on rigid taxonomies and extensive labelled data, limiting their usability for educators and researchers. This study explores the use of pre-trained video-based Multimodal Large Language Models (MLLMs) to support…
A multimodal representation framework for collaborative knowledge-building in an immersive astronomy simulation
The complex processes of collaborative knowledge construction require a multimodal approach to capture the interplay between learners, tools, and the environment. While existing studies have recognized the importance of considering multiple modalities, there remains a need for a comprehensive framework that explicitly models the dynamics of knowledge representation and construction. Drawing on theoretical perspectives from collaborative knowledge…
Unveiling joint attention dynamics
No prominent works on this page.
Unveiling joint attention dynamics
A multimodal representation framework for collaborative knowledge-building in an immersive astronomy simulation
The complex processes of collaborative knowledge construction require a multimodal approach to capture the interplay between learners, tools, and the environment. While existing studies have recognized the importance of considering multiple modalities, there remains a need for a comprehensive framework that explicitly models the dynamics of knowledge representation and construction. Drawing on theoretical perspectives from collaborative knowledge…
From individual annotations to shared attention
Social annotation (SA) tools in computer-supported collaborative learning (CSCL) environments facilitate collective knowledge construction by supporting students externalize and share evolving understandings. In this study, we extend SA to an immersive astronomy simulation, where annotations took the form of visual highlights on celestial objects and constellations rather than written comments. While research has predominantly focused on the quan…
Leveraging Multimodal Large Language Models to Analyse Student Exploration Behaviours in Educational Game Environments
Human-AI collaboration in classroom video analysis
Video-based analysis of classroom interactions offers valuable insights into user behaviour and engagement, yet manual coding remains labour-intensive and difficult to scale. Traditional computer vision models automate some tasks but rely on rigid taxonomies and extensive labelled data, limiting their usability for educators and researchers. This study explores the use of pre-trained video-based Multimodal Large Language Models (MLLMs) to support…
Collaborative learning (2 works) · Computer Science (2 works) · Educational technology (2 works) · Human–computer interaction (2 works) · Innovative Teaching and Learning Methods (2 works) · Intelligent Tutoring Systems and Adaptive Learning (2 works) · Language acquisition (2 works) · Multimedia (2 works) · Psychology (2 works) · Annotation (1 work)