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

30 citations · 44 across the 29 of their papers we have counts for

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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.CY2026

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…

cs.CY2026★ 1 cited

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…

cs.CY2025

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…

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.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…