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20162026
most citedPractical and Ethical Challenges of Large Language Models in Education: A Systematic Scoping Review

877 citations · 2.1k across the 39 of their papers we have counts for

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16 papers · 1 filter

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.HC2025

Capturing and Sharing Know-How through Visual Process Representations: A Human-Centred Approach to Teacher Workflows

Gloria Fernández-Nieto, Vanessa Echeverria, Yuheng Li +5

Knowledge Management is crucial for capturing and transferring expertise within universities, especially in high staff turnover contexts where expertise loss disrupts teaching. Doc…

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★ 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★ 18 cited

The FLoRA Engine: Using Analytics to Measure and Facilitate Learners' own Regulation Activities

Xinyu Li, Yizhou Fan, Tongguang Li +8

The focus of education is increasingly set on learners' ability to regulate their own learning within technology-enhanced learning environments (TELs). Prior research has shown tha…

cs.HC2024★ 8 cited

Self-regulated Learning Processes in Secondary Education: A Network Analysis of Trace-based Measures

Yixin Cheng, Rui Guan, Tongguang Li +7

While the capacity to self-regulate has been found to be crucial for secondary school students, prior studies often rely on self-report surveys and think-aloud protocols that prese…

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.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★ 2 cited

Ink and Algorithm: Exploring Temporal Dynamics in Human-AI Collaborative Writing

Kaixun Yang, Yixin Cheng, Linxuan Zhao +4

The advent of Generative Artificial Intelligence (GAI) has revolutionized the field of writing, marking a shift towards human-AI collaborative writing in education. However, the dy…

cs.HC2024★ 3 cited

Large Language Models Meet User Interfaces: The Case of Provisioning Feedback

Stanislav Pozdniakov, Jonathan Brazil, Solmaz Abdi +5

Incorporating Generative AI (GenAI) and Large Language Models (LLMs) in education can enhance teaching efficiency and enrich student learning. Current LLM usage involves conversati…

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.HC2024★ 1 cited

Evidence-centered Assessment for Writing with Generative AI

Yixin Cheng, Kayley Lyons, Guanliang Chen +2

We propose a learning analytics-based methodology for assessing the collaborative writing of humans and generative artificial intelligence. Framed by the evidence-centered design,…

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…