621 citations · 670 across the 6 of their papers we have counts for
6 papers
Interpretable Concept-based Deep Learning Framework for Multimodal Human Behavior Modeling
Xinyu Li, Marwa Mahmoud
In the contemporary era of intelligent connectivity, Affective Computing (AC), which enables systems to recognize, interpret, and respond to human behavior states, has become an in…
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,…
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…
Beware of Metacognitive Laziness: Effects of Generative Artificial Intelligence on Learning Motivation, Processes, and Performance
Yizhou Fan, Luzhen Tang, Huixiao Le +6
With the continuous development of technological and educational innovation, learners nowadays can obtain a variety of support from agents such as teachers, peers, education techno…
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…
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…