877 citations · 1.2k across the 18 of their papers we have counts for
19 papers
Decoding the Dashboard: Data Comics to Support Students' Understanding of Learning Analytics Visualisations
Mikaela Elizabeth Milesi, Vanessa Echeverria, Lixiang Yan +7
Learning analytics dashboards (LADs) are intended to help students make sense of their learning data to support reflection and decision-making. However, their visualisations can be…
"Piecing Data Connections Together Like a Puzzle": Effects of Increasing Task Complexity on the Effectiveness of Data Storytelling Enhanced Visualisations
Mikaela Elizabeth Milesi, Paola Mejia-Domenzain, Laura Brandl +6
The emerging concept of data storytelling (DS) suggests that enhancing visualisations with annotations and narratives can make complex data more insightful than conventional visual…
Socially fluent AI decouples conversational signals from source identity in online interaction
Lixiang Yan, Yueqiao Jin, Xibin Han +1
Socially fluent agentic AI can now participate in online interaction in ways that resemble ordinary human conversation, potentially weakening people's ability to infer who is human…
Toward Scalable Co-located Practical Learning: Assisting with Computer Vision and Multimodal Analytics
Xinyu Li, Linxuan Zhao, Yueqiao Jin +5
Co-located practical learning leaves evidence in visible actions around patients, task resources and room zones, but these traces are often recovered through live observation or re…
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…
Emergent Learner Agency in Implicit Human-AI Collaboration: How Supportive and Contrarian AI Personas Reshape Interaction
Yueqiao Jin, Roberto Martinez-Maldonado, Dragan Gašević +2
As agentic artificial intelligence (AI) systems move beyond tool-like support toward more autonomous, team-like roles, a central question concerns the extent to which such systems…
Agentic AI as Undercover Teammates: Argumentative Knowledge Construction in Hybrid Human-AI Collaborative Learning
Lixiang Yan, Yueqiao Jin, Linxuan Zhao +6
Generative artificial intelligence (AI) agents are increasingly embedded in collaborative learning environments, yet their impact on the processes of argumentative knowledge constr…
When Machines Join the Moral Circle: The Persona Effect of Generative AI Agents in Collaborative Reasoning
Yueqiao Jin, Roberto Martinez-Maldonado, Wanruo Shi +5
Generative AI is increasingly positioned as a peer in collaborative learning, yet its effects on ethical deliberation remain unclear. We report a between-subjects experiment with u…
The Agency Gap in AI-Supported Writing: How Reactive and Proactive Agent Designs Shape Multimodal Reasoning
Yueqiao Jin, Kaixun Yang, Roberto Martinez-Maldonado +2
Generative AI is becoming part of academic writing, but its educational value depends on how control is shared between learner and system. This study examined an agency gap: perfor…
TeamVision: An AI-powered Learning Analytics System for Supporting Reflection in Team-based Healthcare Simulation
Vanessa Echeverria, Linxuan Zhao, Riordan Alfredo +13
Healthcare simulations help learners develop teamwork and clinical skills in a risk-free setting, promoting reflection on real-world practices through structured debriefs. However,…
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 +8
Learning analytics dashboards (LADs) simplify complex learner data into accessible visualisations, providing actionable insights for educators and students. However, their educatio…
From Complexity to Parsimony: Integrating Latent Class Analysis to Uncover Multimodal Learning Patterns in Collaborative Learning
Lixiang Yan, Dragan Gašević, Linxuan Zhao +3
Multimodal Learning Analytics (MMLA) leverages advanced sensing technologies and artificial intelligence to capture complex learning processes, but integrating diverse data sources…
GLAT: The Generative AI Literacy Assessment Test
Yueqiao Jin, Roberto Martinez-Maldonado, Dragan Gašević +1
The rapid integration of generative artificial intelligence (GenAI) technology into education necessitates precise measurement of GenAI literacy to ensure that learners and educato…
The Effects of Generative AI Agents and Scaffolding on Enhancing Students' Comprehension of Visual Learning Analytics
Lixiang Yan, Roberto Martinez-Maldonado, Yueqiao Jin +7
Visual learning analytics (VLA) is becoming increasingly adopted in educational technologies and learning analytics dashboards to convey critical insights to students and educators…
Generative AI in Higher Education: A Global Perspective of Institutional Adoption Policies and Guidelines
Yueqiao Jin, Lixiang Yan, Vanessa Echeverria +2
Integrating generative AI (GAI) into higher education is crucial for preparing a future generation of GAI-literate students. Yet a thorough understanding of the global institutiona…
FATE in MMLA: A Student-Centred Exploration of Fairness, Accountability, Transparency, and Ethics in Multimodal Learning Analytics
Yueqiao Jin, Vanessa Echeverria, Lixiang Yan +5
Multimodal Learning Analytics (MMLA) integrates novel sensing technologies and artificial intelligence algorithms, providing opportunities to enhance student reflection during comp…
Human-Centred Learning Analytics and AI in Education: a Systematic Literature Review
Riordan Alfredo, Vanessa Echeverria, Yueqiao Jin +4
The rapid expansion of Learning Analytics (LA) and Artificial Intelligence in Education (AIED) offers new scalable, data-intensive systems but also raises concerns about data priva…
Human-AI Collaboration in Thematic Analysis using ChatGPT: A User Study and Design Recommendations
Lixiang Yan, Vanessa Echeverria, Gloria Fernandez Nieto +5
Generative artificial intelligence (GenAI) offers promising potential for advancing human-AI collaboration in qualitative research. However, existing works focused on conventional…
Practical and Ethical Challenges of Large Language Models in Education: A Systematic Scoping Review
Lixiang Yan, Lele Sha, Linxuan Zhao +6
Educational technology innovations leveraging large language models (LLMs) have shown the potential to automate the laborious process of generating and analysing textual content. W…