30 citations · 44 across the 29 of their papers we have counts for
30 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…
Making AI-Generated Feedback Matter: A Large-Scale Study of Feedback Workflows and Student Enactment
Omar Alsaiari, Nilufar Baghaei, Jason M. Lodge +3
Feedback processes strongly influence student learning, yet their educational value depends on addressing two distinct challenges: providing high-quality, timely, and individualise…
From GenAI Virtual Patient Dialogue Logs to Teacher-Interpretable Process Evidence: A Learning Analytics Study in Higher Education
Xinyu Li, Zijian Li, Mengyu Xia +6
Medical history taking is a dialogue-based clinical reasoning task in which learners must gather, organise, and integrate patient information while the consultation unfolds. Genera…
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…
Agentivism: a learning theory for the age of artificial intelligence
Lixiang Yan, Dragan Gašević
Learning theories have historically changed when the conditions of learning evolved. Generative and agentic AI create a new condition by allowing learners to delegate explanation,…
Building AI Companions that Prioritise Learning over Performance
Hassan Khosravi, Dragan Gasevic, Shazia Sadiq +7
Large language models (LLMs) are rapidly transforming knowledge work by improving the quality and efficiency of tasks such as writing, coding, and data analysis. However, their gro…
Self-Regulated Learning in Essay Writing: Consistency of Strategies and Impact on Outcomes
Gloria Fernández-Nieto, Kiyoshige Garcés, Mladen Raković +4
Background: Abilities for effective self-regulated learning (SRL) are critical for lifelong learning, particularly during adolescence when these skills consolidate and strongly inf…
Scalable LLM-based Coding of Dialogue in Healthcare Simulation: Balancing Coding Performance, Processing Time, and Environmental Impact
Kiyoshige Garces, Gloria Milena Fernandez-Nieto, Linxuan Zhao +4
Research shows that dialogue, the interactive process through which participants articulate their thinking, plays a central role in constructing shared understanding, coordinating…
Neural-Symbolic Knowledge Tracing: Injecting Educational Knowledge into Deep Learning for Responsible Learner Modelling
Danial Hooshyar, Gustav Šír, Yeongwook Yang +6
The growing use of artificial intelligence (AI) in education, particularly large language models (LLMs), has increased interest in intelligent tutoring systems. However, LLMs often…
From School AI Readiness to Student AI Literacy: A National Multilevel Mediation Analysis of Institutional Capacity and Teacher Capability
Xiu Guan, Mingmin Zheng, Dragan Gašević +7
Artificial intelligence (AI) is increasingly embedded in vocational education systems, yet empirical evidence linking institutional AI readiness to student learning outcomes remain…
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…
Protecting and Promoting Human Agency in Education in the Age of Artificial Intelligence
Olga Viberg, Mutlu Cukurova, Rene F. Kizilcec +12
Human agency is crucial in education and increasingly challenged by the use of generative AI. This meeting report synthesizes interdisciplinary insights and conceptualizes four asp…
Not All Students Engage Alike: Multi-Institution Patterns in GenAI Tutor Use
Youjie Chen, Xixi Shi, Xinyu Liu +3
The emergence of generative artificial intelligence (GenAI) has created unprecedented opportunities to provide individualized learning support in classrooms as automated tutoring s…
Fifteen Years of Learning Analytics Research: Topics, Trends, and Challenges
Valdemar Švábenský, Conrad Borchers, Elvin Fortuna +2
The learning analytics (LA) community has recently reached two important milestones: celebrating the 15th LAK conference and updating the 2011 definition of LA to reflect the 15 ye…
Efficient Temporal-aware Matryoshka Adaptation for Temporal Information Retrieval
Tuan-Luc Huynh, Weiqing Wang, Trung Le +4
Retrievers are a key bottleneck in temporal Retrieval-Augmented Generation (RAG) systems: failing to retrieve temporally relevant context can degrade downstream generation, regardl…
Dataset of GenAI-Assisted Information Problem Solving in Education
Xinyu Li, Kaixun Yang, Jiameng Wei +3
Information Problem Solving (IPS) is a critical competency for academic and professional success in education, work, and life. The advent of Generative Artificial Intelligence (Gen…
Heterogeneous Interaction Network Analysis (HINA): A New Learning Analytics Approach for Modelling, Analyzing, and Visualizing Complex Interactions in Learning Processes
Shihui Feng, Baiyue He, Dragan Gasevic +1
Existing learning analytics approaches, which often model learning processes as sequences of learner actions or homogeneous relationships, are limited in capturing the distributed,…
When LLMs fall short in Deductive Coding: Model Comparison and Human AI Collaboration Workflow Design
Zijian Li, Luzhen Tang, Mengyu Xia +4
With generative artificial intelligence driving the growth of dialogic data in education, automated coding is a promising direction for learning analytics to improve efficiency. Th…
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…
Uncovering Students' Inquiry Patterns in GenAI-Supported Clinical Practice: An Integration of Epistemic Network Analysis and Sequential Pattern Mining
Jiameng Wei, Dinh Dang, Kaixun Yang +9
Assessment of medication history-taking has traditionally relied on human observation, limiting scalability and detailed performance data. While Generative AI (GenAI) platforms ena…
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…
Understanding Critical Thinking in Generative Artificial Intelligence Use: Development, Validation, and Correlates of the Critical Thinking in AI Use Scale
Gabriel R. Lau, Wei Yan Low, Louis Tay +3
Generative AI tools are increasingly embedded in everyday work and learning, yet their fluency, opacity, and propensity to hallucinate mean that users must critically evaluate AI o…
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…