2 citations · 2 across the 7 of their papers we have counts for
8 papers
Designing PULSE: A Realtime Annotation Tool to Support Simulation Debriefing
Caleb Vatral, Jennifer Hunt, Mary Ann Jesse +1
Debriefing is central to effective simulation-based education. However, effective debriefing is challenged by high instructor workloads and limited engagement of observing students…
Trainee Action Recognition through Interaction Analysis in CCATT Mixed-Reality Training
Divya Mereddy, Marcos Quinones-Grueiro, Ashwin T S +7
This study examines how Critical Care Air Transport Team (CCATT) members are trained using mixed-reality simulations that replicate the high-pressure conditions of aeromedical evac…
Designing Gaze Analytics for ELA Instruction: A User-Centered Dashboard with Conversational AI Support
Eduardo Davalos, Yike Zhang, Shruti Jain +9
Eye-tracking offers rich insights into student cognition and engagement, but remains underutilized in classroom-facing educational technology due to challenges in data interpretati…
WEBEYETRACK: Scalable Eye-Tracking for the Browser via On-Device Few-Shot Personalization
Eduardo Davalos, Yike Zhang, Namrata Srivastava +7
With advancements in AI, new gaze estimation methods are exceeding state-of-the-art (SOTA) benchmarks, but their real-world application reveals a gap with commercial eye-tracking s…
LLMs as Educational Analysts: Transforming Multimodal Data Traces into Actionable Reading Assessment Reports
Eduardo Davalos, Yike Zhang, Namrata Srivastava +5
Reading assessments are essential for enhancing students' comprehension, yet many EdTech applications focus mainly on outcome-based metrics, providing limited insights into student…
Beyond Instructed Tasks: Recognizing In-the-Wild Reading Behaviors in the Classroom Using Eye Tracking
Eduardo Davalos, Jorge Alberto Salas, Yike Zhang +7
Understanding reader behaviors such as skimming, deep reading, and scanning is essential for improving educational instruction. While prior eye-tracking studies have trained models…
Multimodal Methods for Analyzing Learning and Training Environments: A Systematic Literature Review
Clayton Cohn, Eduardo Davalos, Caleb Vatral +7
Recent technological advancements in multimodal machine learning--including the rise of large language models (LLMs)--have improved our ability to collect, process, and analyze div…
A First Step in Using Machine Learning Methods to Enhance Interaction Analysis for Embodied Learning Environments
Joyce Fonteles, Eduardo Davalos, Ashwin T. S. +9
Investigating children's embodied learning in mixed-reality environments, where they collaboratively simulate scientific processes, requires analyzing complex multimodal data to in…