7 citations · 7 across the 6 of their papers we have counts for
9 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…
A Multimodal Dataset of Student Oral Presentations with Sensors and Evaluation Data
Alvaro Becerra, Ruth Cobos, Roberto Daza
Oral presentation skills are a critical component of higher education, yet comprehensive datasets capturing real-world student performance across multiple modalities remain scarce.…
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…
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…