7 citations · 7 across the 9 of their papers we have counts for
11 papers
AICoFe Demo: AI-based Collaborative Feedback System
Alvaro Becerra, Alejandra Palma, Ruth Cobos +1
Peer feedback promotes active learning, critical reflection, and skill development, but its effectiveness is often limited by the quality of feedback students provide. Recent advan…
AISSA Demo: AI-based Student Slides Analysis Tool for Automated Grading and Feedback
Alvaro Becerra, Diego Gomez, Ruth Cobos +1
We present an AI-based web-oriented tool designed to support formative feedback for oral presentation slides in higher education: AISSA. It allows students to upload their slides b…
AICoFe: Implementation and Deployment of an AI-Based Collaborative Feedback System for Higher Education
Alvaro Becerra, Alejandra Palma, Ruth Cobos
Effective peer feedback is essential for developing critical reflection in higher education, yet its impact is often limited by the inconsistent quality of student-generated commen…
AISSA: Implementation and Deployment of an AI-based Student Slides Analysis tool for Academic Presentations
Alvaro Becerra, Diego Gomez, Ruth Cobos
Providing timely and actionable feedback on oral presentation slides is challenging in higher education, particularly in large classes where teachers cannot realistically deliver d…
Enhancing Online Learning by Integrating Biosensors and Multimodal Learning Analytics for Detecting and Predicting Student Behavior: A Review
Alvaro Becerra, Ruth Cobos, Charles Lang
In modern online learning, understanding and predicting student behavior is crucial for enhancing engagement and optimizing educational outcomes. This systematic review explores th…
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…
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…
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…
A multimodal dataset for understanding the impact of mobile phones on remote online virtual education
Roberto Daza, Alvaro Becerra, Ruth Cobos +2
This work presents the IMPROVE dataset, a multimodal resource designed to evaluate the effects of mobile phone usage on learners during online education. It includes behavioral, bi…
VAAD: Visual Attention Analysis Dashboard applied to e-Learning
Miriam Navarro, Álvaro Becerra, Roberto Daza +3
In this paper, we present an approach in the Multimodal Learning Analytics field. Within this approach, we have developed a tool to visualize and analyze eye movement data collecte…
Biometrics and Behavior Analysis for Detecting Distractions in e-Learning
Álvaro Becerra, Javier Irigoyen, Roberto Daza +4
In this article, we explore computer vision approaches to detect abnormal head pose during e-learning sessions and we introduce a study on the effects of mobile phone usage during…