activity
20232026
most citedPractical and Ethical Challenges of Large Language Models in Education: A Systematic Scoping Review

877 citations · 1.4k across the 32 of their papers we have counts for

collaborators

33 papers

cs.HC2026

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…

cs.HC2026

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…

cs.AI2026

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,…

cs.HC2026

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…

cs.LG2026★ 44 cited

Distinguishing performance gains from learning when using generative AI

Lixiang Yan, Samuel Greiff, Jason M. Lodge +1

Generative artificial intelligence (AI) is increasingly being integrated into education, where it can boost learners' performance. However, these uses do not promote the deep cogni…

cs.CY2026

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…

cs.HC2026

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…

cs.HC2025

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…

cs.HC2025

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…

cs.HC2025

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…

cs.HC2025

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…

cs.CY2025★ 30 cited

Towards Reliable Generative AI-Driven Scaffolding: Reducing Hallucinations and Enhancing Quality in Self-Regulated Learning Support

Keyang Qian, Shiqi Liu, Tongguang Li +8

Generative Artificial Intelligence (GenAI) holds a potential to advance existing educational technologies with capabilities to automatically generate personalised scaffolds that su…

cs.HC2025★ 5 cited

From Passive Tool to Socio-cognitive Teammate: A Conceptual Framework for Agentic AI in Human-AI Collaborative Learning

Lixiang Yan

The role of Artificial Intelligence (AI) in education is undergoing a rapid transformation, moving beyond its historical function as an instructional tool towards a new potential a…

cs.CY2025

SCALEFeedback: A Large-Scale Dataset of Synthetic Computer Science Assignments for LLM-generated Educational Feedback Research

Keyang Qian, Kaixun Yang, Wei Dai +8

Using Large Language Models (LLMs) to give educational feedback to students for their assignments has attracted much attention in the AI in Education (AIED) field. Yet, there is cu…

cs.CY2025

Dean of LLM Tutors: A Framework for Automated Quality Review of AI-generated Feedback

Keyang Qian, Yixin Cheng, Rui Guan +8

Large language model (LLM) tutors are increasingly used to generate educational feedback, but existing research has focused mainly on feedback generation rather than feedback evalu…

cs.HC2025★ 7 cited

FLoRA: An Advanced AI-Powered Engine to Facilitate Hybrid Human-AI Regulated Learning

Xinyu Li, Tongguang Li, Lixiang Yan +6

Self-Regulated Learning (SRL), defined as learners' ability to systematically plan, monitor, and regulate their learning activities, is crucial for sustained academic achievement a…

cs.HC2025★ 3 cited

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…

cs.HC2025★ 19 cited

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,…

cs.HC2024★ 3 cited

Modifying AI, Enhancing Essays: How Active Engagement with Generative AI Boosts Writing Quality

Kaixun Yang, Mladen Raković, Zhiping Liang +5

Students are increasingly relying on Generative AI (GAI) to support their writing-a key pedagogical practice in education. In GAI-assisted writing, students can delegate core cogni…

cs.HC2024★ 2 cited

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…

cs.LG2024★ 1 cited

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…

cs.HC2024★ 4 cited

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…

cs.HC2024★ 9 cited

Promises and challenges of generative artificial intelligence for human learning

Lixiang Yan, Samuel Greiff, Ziwen Teuber +1

Generative artificial intelligence (GenAI) holds the potential to transform the delivery, cultivation, and evaluation of human learning. This Perspective examines the integration o…

cs.HC2024★ 1 cited

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…