Footprints at School: Modelling In-class Social Dynamics from Students' Physical Positioning Traces. - Lixiang Yan; Roberto Martínez Maldonado; Beatriz Gallo Cordoba; Joanne Deppeler; Deborah Corrigan; Gloria Fernández-Nieto; Dragan Gasevic (LAK, 2021)

Students' experience of online learning during the COVID-19 pandemic: A province-wide survey study. - Lixiang Yan; Alexander Whitelock-Wainwright; Quanlong Guan; Gangxin Wen; Dragan Gasevic; Guanliang Chen (Br. J. Educ. Technol., 2021)

How do Teachers Use Open Learning Spaces? Mapping from Teachers' Socio-spatial Data to Spatial Pedagogy. - Lixiang Yan; Roberto Martínez Maldonado; Linxuan Zhao; Joanne Deppeler; Deborah Corrigan; Dragan Gasevic (LAK, 2022)

Scalability, Sustainability, and Ethicality of Multimodal Learning Analytics. - Lixiang Yan; Linxuan Zhao; Dragan Gasevic; Roberto Martínez Maldonado (LAK, 2022)

Modelling Co-located Team Communication from Voice Detection and Positioning Data in Healthcare Simulation. - Linxuan Zhao; Lixiang Yan; Dragan Gasevic; Samantha Dix; Hollie Jaggard; Rosie Wotherspoon; Riordan Alfredo; Xinyu Li 004; Roberto Martínez Maldonado (LAK, 2022)

Mapping from proximity traces to socio-spatial behaviours and student progression at the school. - Lixiang Yan; Roberto Martínez Maldonado; Beatriz Gallo Cordoba; Joanne Deppeler; Deborah Corrigan; Dragan Gasevic (Br. J. Educ. Technol., 2022)

The Road Not Taken: Preempting Dropout in MOOCs. - Lele Sha; Ed Fincham; Lixiang Yan; Tongguang Li; Dragan Gasevic; Kobi Gal; Guanliang Chen (AIED, 2023)

Physiological Synchrony and Arousal as Indicators of Stress and Learning Performance in Embodied Collaborative Learning. - Lixiang Yan; Roberto Martínez Maldonado; Linxuan Zhao; Xinyu Li 004; Dragan Gasevic (AIED, 2023)

Analysing Verbal Communication in Embodied Team Learning Using Multimodal Data and Ordered Network Analysis. - Linxuan Zhao; Yuanru Tan; Dragan Gasevic; David Williamson Shaffer; Lixiang Yan; Riordan Alfredo; Xinyu Li 004; Roberto Martínez Maldonado (AIED, 2023)

Characterising Individual-Level Collaborative Learning Behaviours Using Ordered Network Analysis and Wearable Sensors. - Lixiang Yan; Yuanru Tan; Zachari Swiecki; Dragan Gasevic; David Williamson Shaffer; Linxuan Zhao; Xinyu Li 004; Roberto Martínez Maldonado (ICQE, 2023)

CVPE: A Computer Vision Approach for Scalable and Privacy-Preserving Socio-spatial, Multimodal Learning Analytics. - Xinyu Li 004; Lixiang Yan; Linxuan Zhao; Roberto Martínez Maldonado; Dragan Gasevic (LAK, 2023)

SeNA: Modelling Socio-spatial Analytics on Homophily by Integrating Social and Epistemic Network Analysis. - Lixiang Yan; Roberto Martínez Maldonado; Linxuan Zhao; Xinyu Li 004; Dragan Gasevic (LAK, 2023)

METS: Multimodal Learning Analytics of Embodied Teamwork Learning. - Linxuan Zhao; Zachari Swiecki; Dragan Gasevic; Lixiang Yan; Samantha Dix; Hollie Jaggard; Rosie Wotherspoon; Abra Osborne; Xinyu Li 004; Riordan Alfredo; Roberto Martínez Maldonado (LAK, 2023)

Can large language models write reflectively. - Yuheng Li; Lele Sha; Lixiang Yan; Jionghao Lin; Mladen Rakovic; Kirsten Galbraith; Kayley M. Lyons; Dragan Gasevic; Guanliang Chen (Comput. Educ. Artif. Intell., 2023)

Practical and Ethical Challenges of Large Language Models in Education: A Systematic Literature Review. - Lixiang Yan; Lele Sha; Linxuan Zhao; Yuheng Li; Roberto Martínez Maldonado; Guanliang Chen; Xinyu Li 004; Yueqiao Jin; Dragan Gasevic (CoRR, 2023)

HuCETA: A Framework for Human-Centered Embodied Teamwork Analytics. - Vanessa Echeverría; Roberto Martínez Maldonado; Lixiang Yan; Linxuan Zhao; Gloria Fernández-Nieto; Dragan Gasevic; Simon Buckingham Shum (IEEE Pervasive Comput., 2023)

Socio-spatial Learning Analytics in Co-located Collaborative Learning Spaces:: A Systematic Literature Review. - Lixiang Yan; Linxuan Zhao; Dragan Gasevic; Xinyu Li 004; Roberto Martínez Maldonado (J. Learn. Anal., 2023)

The role of indoor positioning analytics in assessment of simulation-based learning. - Lixiang Yan; Roberto Martínez Maldonado; Linxuan Zhao; Samantha Dix; Hollie Jaggard; Rosie Wotherspoon; Xinyu Li 004; Dragan Gasevic (Br. J. Educ. Technol., 2023)

VizChat: Enhancing Learning Analytics Dashboards with Contextualised Explanations Using Multimodal Generative AI Chatbots. - Lixiang Yan; Linxuan Zhao; Vanessa Echeverría; Yueqiao Jin; Riordan Alfredo; Xinyu Li 004; Dragan Gasevic; Roberto Martínez Maldonado (AIED (2), 2024)

"It's Really Enjoyable to See Me Solve the Problem like a Hero": GenAI-enhanced Data Comics as a Learning Analytics Tool. - Mikaela Elizabeth Milesi; Riordan Alfredo; Vanessa Echeverría; Lixiang Yan; Linxuan Zhao; Yi-Shan Tsai; Roberto Martínez Maldonado (CHI Extended Abstracts, 2024)

Data Storytelling in Data Visualisation: Does it Enhance the Efficiency and Effectiveness of Information Retrieval and Insights Comprehension? - Hongbo Shao; Roberto Martínez Maldonado; Vanessa Echeverría; Lixiang Yan; Dragan Gasevic (CHI, 2024)

Human-AI Collaboration in Thematic Analysis using ChatGPT: A User Study and Design Recommendations. - Lixiang Yan; Vanessa Echeverría; Gloria Milena Fernández Nieto; Yueqiao Jin; Zachari Swiecki; Linxuan Zhao; Dragan Gasevic; Roberto Martínez Maldonado (CHI Extended Abstracts, 2024)

TeamSlides: a Multimodal Teamwork Analytics Dashboard for Teacher-guided Reflection in a Physical Learning Space. - Vanessa Echeverría; Lixiang Yan; Linxuan Zhao; Sophie Abel; Riordan Alfredo; Samantha Dix; Hollie Jaggard; Rosie Wotherspoon; Abra Osborne; Simon Buckingham Shum; Dragan Gasevic; Roberto Martínez Maldonado (LAK, 2024)

Heterogenous Network Analytics of Small Group Teamwork: Using Multimodal Data to Uncover Individual Behavioral Engagement Strategies. - Shihui Feng; Lixiang Yan; Linxuan Zhao; Roberto Martínez Maldonado; Dragan Gasevic (LAK, 2024)

Generative Artificial Intelligence in Learning Analytics: Contextualising Opportunities and Challenges through the Learning Analytics Cycle. - Lixiang Yan; Roberto Martínez Maldonado; Dragan Gasevic (LAK, 2024)

Epistemic Network Analysis for End-users: Closing the Loop in the Context of Multimodal Analytics for Collaborative Team Learning. - Linxuan Zhao; Vanessa Echeverría; Zachari Swiecki; Lixiang Yan; Riordan Alfredo; Xinyu Li 004; Dragan Gasevic; Roberto Martínez Maldonado (LAK, 2024)

Human-centred learning analytics and AI in education: A systematic literature review. - Riordan Alfredo; Vanessa Echeverría; Yueqiao Jin; Lixiang Yan; Zachari Swiecki; Dragan Gasevic; Roberto Martínez Maldonado (Comput. Educ. Artif. Intell., 2024)

FATE in MMLA: A Student-Centred Exploration of Fairness, Accountability, Transparency, and Ethics in Multimodal Learning Analytics. - Yueqiao Jin; Vanessa Echeverría; Lixiang Yan; Linxuan Zhao; Riordan Alfredo; Yi-Shan Tsai; Dragan Gasevic; Roberto Martínez Maldonado (CoRR, 2024)

Promises and challenges of generative artificial intelligence for human learning. - Lixiang Yan; Samuel Greiff; Ziwen Teuber; Dragan Gasevic (CoRR, 2024)

From Data Stories to Dialogues: A Randomised Controlled Trial of Generative AI Agents and Data Storytelling in Enhancing Data Visualisation Comprehension. - Lixiang Yan; Roberto Martínez-Maldonado; Yueqiao Jin; Vanessa Echeverría; Mikaela Elizabeth Milesi; Jie Xiang Fan; Linxuan Zhao; Riordan Alfredo; Xinyu Li 004; Dragan Gasevic (CoRR, 2024)

GLAT: The Generative AI Literacy Assessment Test. - Yueqiao Jin; Roberto Martínez-Maldonado; Dragan Gasevic; Lixiang Yan (CoRR, 2024)

Practical and ethical challenges of large language models in education: A systematic scoping review. - Lixiang Yan; Lele Sha; Linxuan Zhao; Yuheng Li; Roberto Martínez Maldonado; Guanliang Chen; Xinyu Li 004; Yueqiao Jin; Dragan Gasevic (Br. J. Educ. Technol., 2024)

Lessons Learnt from a Multimodal Learning Analytics Deployment In-the-Wild. - Roberto Martínez Maldonado; Vanessa Echeverría; Gloria Fernández-Nieto; Lixiang Yan; Linxuan Zhao; Riordan Alfredo; Xinyu Li 004; Samantha Dix; Hollie Jaggard; Rosie Wotherspoon; Abra Osborne; Simon Buckingham Shum; et al. (ACM Trans. Comput. Hum. Interact., 2024)

Towards automated transcribing and coding of embodied teamwork communication through multimodal learning analytics. - Linxuan Zhao; Dragan Gasevic; Zachari Swiecki; Yuheng Li; Jionghao Lin; Lele Sha; Lixiang Yan; Riordan Alfredo; Xinyu Li 004; Roberto Martínez Maldonado (Br. J. Educ. Technol., 2024)

Explaining trace-based learner profiles with self-reports: The added value of psychological networks. - Jelena Jovanovic 001; Dragan Gasevic; Lixiang Yan; Graham Baker; Andrew Murray; Danijela Gasevic (J. Comput. Assist. Learn., 2024)

Evidence-based multimodal learning analytics for feedback and reflection in collaborative learning. - Lixiang Yan; Vanessa Echeverría; Yueqiao Jin; Gloria Fernández-Nieto; Linxuan Zhao; Xinyu Li 004; Riordan Alfredo; Zachari Swiecki; Dragan Gasevic; Roberto Martínez-Maldonado (Br. J. Educ. Technol., 2024)

TeamVision: An AI-powered Learning Analytics System for Supporting Reflection in Team-based Healthcare Simulation. - Vanessa Echeverría; Linxuan Zhao; Riordan Alfredo; Mikaela Elizabeth Milesi; Yueqiao Jin; Sophie Abel; Jie Xiang Fan; Lixiang Yan; Samantha Dix; Rosie Wotherspoon; Xinyu Li 004; Hollie Jaggard; et al. (CHI, 2025)

Chatting with a Learning Analytics Dashboard: The Role of Generative AI Literacy on Learner Interaction with Conventional and Scaffolding Chatbots. - Yueqiao Jin; Kaixun Yang; Lixiang Yan; Vanessa Echeverría; Linxuan Zhao; Riordan Alfredo; Mikaela Elizabeth Milesi; Jie Xiang Fan; Xinyu Li 004; Dragan Gasevic; Roberto Martínez-Maldonado (LAK, 2025)

From Complexity to Parsimony: Integrating Latent Class Analysis to Uncover Multimodal Learning Patterns in Collaborative Learning. - Lixiang Yan; Dragan Gasevic; Vanessa Echeverría; Yueqiao Jin; Linxuan Zhao; Roberto Martínez-Maldonado (LAK, 2025)

Modifying AI, Enhancing Essays: How Active Engagement with Generative AI Boosts Writing Quality. - Kaixun Yang; Mladen Rakovic; Zhiping Liang; Lixiang Yan; Zijie Zeng; Yizhou Fan; Dragan Gasevic; Guanliang Chen (LAK, 2025)

Generative AI in higher education: A global perspective of institutional adoption policies and guidelines. - Yueqiao Jin; Lixiang Yan; Vanessa Echeverría; Dragan Gasevic; Roberto Martínez-Maldonado (Comput. Educ. Artif. Intell., 2025)

The effects of generative AI agents and scaffolding on enhancing students' comprehension of visual learning analytics. - Lixiang Yan; Roberto Martínez-Maldonado; Yueqiao Jin; Vanessa Echeverría; Mikaela Milesi; Jie Xiang Fan; Linxuan Zhao; Riordan Alfredo; Xinyu Li 004; Dragan Gasevic (Comput. Educ., 2025)

Generative AI and Learning Analytics: Pushing Boundaries, Preserving Principles. - Hassan Khosravi; Antonette Shibani; Jelena Jovanovic 001; Zachary A. Pardos; Lixiang Yan (J. Learn. Anal., 2025)

TeamVision: An AI-powered Learning Analytics System for Supporting Reflection in Team-based Healthcare Simulation. - Vanessa Echeverría; Linxuan Zhao; Riordan Alfredo; Mikaela Elizabeth Milesi; Yuequiao Jin; Sophie Abel; Jie Yan; Lixiang Yan; Xinyu Li 004; Samantha Dix; Rosie Wotherspoon; Hollie Jaggard; et al. (CoRR, 2025)

Do Students Write Better Post-AI Support? Effects of Generative AI Literacy and Chatbot Interaction Strategies on Multimodal Academic Writing. - Yueqiao Jin; Kaixun Yang; Roberto Martínez-Maldonado; Dragan Gasevic; Lixiang Yan (CoRR, 2025)

FLoRA: An Advanced AI-Powered Engine to Facilitate Hybrid Human-AI Regulated Learning. - Xinyu Li 004; Tongguang Li; Lixiang Yan; Yuheng Li; Linxuan Zhao; Mladen Rakovic; Inge Molenaar; Dragan Gasevic; Yizhou Fan (CoRR, 2025)

Towards Reliable Generative AI-Driven Scaffolding: Reducing Hallucinations and Enhancing Quality in Self-Regulated Learning Support. - Keyang Qian; Shiqi Liu; Tongguang Li; Mladen Rakovic; Xinyu Li; Rui Guan; Inge Molenaar; Sadia Nawaz; Zachari Swiecki; Lixiang Yan; Dragan Gasevic (CoRR, 2025)

Dean of LLM Tutors: Exploring Comprehensive and Automated Evaluation of LLM-generated Educational Feedback via LLM Feedback Evaluators. - Keyang Qian; Yixin Cheng; Rui Guan; Wei Dai; Flora Ji-Yoon Jin; Kaixun Yang; Sadia Nawaz; Zachari Swiecki; Guanliang Chen; Lixiang Yan; Dragan Gasevic (CoRR, 2025)

SCALEFeedback: A Large-Scale Dataset of Synthetic Computer Science Assignments for LLM-generated Educational Feedback Research. - Keyang Qian; Kaixun Yang; Wei Dai; Flora Ji-Yoon Jin; Yixin Cheng; Rui Guan; Sadia Nawaz; Zachari Swiecki; Guanliang Chen; Lixiang Yan; Dragan Gasevic (CoRR, 2025)

From Passive Tool to Socio-cognitive Teammate: A Conceptual Framework for Agentic AI in Human-AI Collaborative Learning. - Lixiang Yan (CoRR, 2025)