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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

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7 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

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…