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

877 citations · 1.1k across the 21 of their papers we have counts for

collaborators
Showing cs.HCShow all

17 papers · 1 filter

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★ 4 cited

"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…

cs.HC2026

Data Comics for Education: Evaluating Effectiveness, Benefits, and the Ethics of AI-Assisted Creation

Zirui Shan, Vanessa Echeverria, Yuheng Li +2

In today's data-driven world, students often struggle with interpreting visualisations due to limited visualisation literacy. Data comics have emerged as a promising medium to enha…

cs.HC2026

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…

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.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★ 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.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★ 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…

cs.HC2024★ 42 cited

Data Storytelling in Data Visualisation: Does it Enhance the Efficiency and Effectiveness of Information Retrieval and Insights Comprehension?

Honbo Shao, Roberto Martinez-Maldonado, Vanessa Echeverria +2

Data storytelling (DS) is rapidly gaining attention as an approach that integrates data, visuals, and narratives to create data stories that can help a particular audience to compr…

cs.HC2023★ 4 cited

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…

cs.HC2023★ 4 cited

Lessons Learnt from a Multimodal Learning Analytics Deployment In-the-wild

Roberto Martinez-Maldonado, Vanessa Echeverria, Gloria Fernandez-Nieto +10

Multimodal Learning Analytics (MMLA) innovations make use of rapidly evolving sensing and artificial intelligence algorithms to collect rich data about learning activities that unf…