collaborators

5 papers

cs.HC2026

Leveraging Peer, Self, and Teacher Assessments for Generative AI-Enhanced Feedback

Alvaro Becerra, Ruth Cobos

Providing timely and meaningful feedback remains a persistent challenge in higher education, especially in large courses where teachers must balance formative depth with scalabilit…

cs.HC2025

Real-Time Multimodal Data Collection Using Smartwatches and Its Visualization in Education

Alvaro Becerra, Pablo Villegas, Ruth Cobos

Wearable sensors, such as smartwatches, have become increasingly prevalent across domains like healthcare, sports, and education, enabling continuous monitoring of physiological an…

cs.CY2025

AI-based Multimodal Biometrics for Detecting Smartphone Distractions: Application to Online Learning

Alvaro Becerra, Roberto Daza, Ruth Cobos +3

This work investigates the use of multimodal biometrics to detect distractions caused by smartphone use during tasks that require sustained attention, with a focus on computer-base…

cs.HC2025

MOSAIC-F: A Framework for Enhancing Students' Oral Presentation Skills through Personalized Feedback

Alvaro Becerra, Daniel Andres, Pablo Villegas +2

In this article, we present a novel multimodal feedback framework called MOSAIC-F, an acronym for a data-driven Framework that integrates Multimodal Learning Analytics (MMLA), Obse…

cs.HC2025

M2LADS Demo: A System for Generating Multimodal Learning Analytics Dashboards

Alvaro Becerra, Roberto Daza, Ruth Cobos +2

We present a demonstration of a web-based system called M2LADS ("System for Generating Multimodal Learning Analytics Dashboards"), designed to integrate, synchronize, visualize, an…