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

30 citations · 34 across the 10 of their papers we have counts for

collaborators

11 papers

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.CY20261 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.IR2026

Efficient Temporal-aware Matryoshka Adaptation for Temporal Information Retrieval

Tuan-Luc Huynh, Weiqing Wang, Trung Le +4

Retrievers are a key bottleneck in Temporal Retrieval-Augmented Generation (RAG) systems: failing to retrieve temporally relevant context can degrade downstream generation, regardl…

cs.HC20251 cited

When LLMs fall short in Deductive Coding: Model Comparison and Human AI Collaboration Workflow Design

Zijian Li, Luzhen Tang, Mengyu Xia +4

With generative artificial intelligence driving the growth of dialogic data in education, automated coding is a promising direction for learning analytics to improve efficiency. Th…

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.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…