Álvaro Becerra

According to our database, Álvaro Becerra authored at least 20 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

AICoFe: Implementation and Deployment of an AI-Based Collaborative Feedback System for Higher Education.

Álvaro Becerra, Alejandra Palma, Ruth Cobos

CoRR, May, 2026

AISSA: Implementation and Deployment of an AI-based Student Slides Analysis tool for Academic Presentations.

Álvaro Becerra, Diego Gomez, Ruth Cobos

CoRR, May, 2026

A Multimodal Dataset of Student Oral Presentations with Sensors and Evaluation Data.

Álvaro Becerra, Ruth Cobos, Roberto Daza

CoRR, January, 2026

2025

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

Álvaro Becerra, Ruth Cobos

CoRR, December, 2025

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

Álvaro Becerra, Pablo Villegas, Ruth Cobos

CoRR, December, 2025

Enhancing Online Learning by Integrating Biosensors and Multimodal Learning Analytics for Detecting and Predicting Student Behavior: A Review.

Álvaro Becerra, Ruth Cobos, Charles Lang

CoRR, September, 2025

M2LADS Demo: A System for Generating Multimodal Learning Analytics Dashboards.

Álvaro Becerra, Roberto Daza, Ruth Cobos, Aythami Morales, Julian Fierrez

CoRR, February, 2025

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

Álvaro Becerra, Daniel Andres, Pablo Villegas, Roberto Daza, Ruth Cobos

Proceedings of the Learning Analytics Summer Institute Spain, 2025

Enhancing the Professional Development of Engineering Students through an AI-Based Collaborative Feedback System.

Álvaro Becerra, Ruth Cobos

Proceedings of the IEEE Global Engineering Education Conference, 2025

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

Álvaro Becerra, Roberto Daza, Ruth Cobos, Aythami Morales, Mutlu Cukurova, Julian Fierrez

Proceedings of the Two Decades of TEL. From Lessons Learnt to Challenges Ahead, 2025

2024

IMPROVE: Impact of Mobile Phones on Remote Online Virtual Education.

Roberto Daza, Álvaro Becerra, Ruth Cobos, Julian Fiérrez, Aythami Morales

CoRR, 2024

Visual Attention Analysis in Online Learning.

Miriam Navarro, Álvaro Becerra, Roberto Daza, Ruth Cobos, Aythami Morales, Julian Fiérrez

CoRR, 2024

Biometrics and Behavioral Modelling for Detecting Distractions in Online Learning.

Álvaro Becerra, Javier Irigoyen, Roberto Daza, Ruth Cobos, Aythami Morales, Julian Fiérrez, Mutlu Cukurova

CoRR, 2024

VAAD: Visual Attention Analysis Dashboard Applied to e-Learning.

Miriam Navarro, Álvaro Becerra, Roberto Daza, Ruth Cobos, Aythami Morales, Julian Fiérrez

Proceedings of the International Symposium on Computers in Education, 2024

Biometrics and Behavior Analysis for Detecting Distractions in e- Learning.

Álvaro Becerra, Javier Irigoyen, Roberto Daza, Ruth Cobos, Aythami Morales, Julian Fiérrez, Mutlu Cukurova

Proceedings of the International Symposium on Computers in Education, 2024

A Generative AI-Based Personalized Guidance Tool for Enhancing the Feedback to MOOC Learners.

Álvaro Becerra, Zeynab Mohseni, Javier Sanz, Ruth Cobos

Proceedings of the IEEE Global Engineering Education Conference, 2024

2023

Estudio de la Experiencia de Usuario mediante un Sistema de Dashboards de Análisis de Aprendizaje Multimodal.

Álvaro Becerra, Roberto Daza, Ruth Cobos, Aythami Morales, Julian Fiérrez

CoRR, 2023

M2LADS: A System for Generating MultiModal Learning Analytics Dashboards in Open Education.

Álvaro Becerra, Roberto Daza, Ruth Cobos, Aythami Morales, Mutlu Cukurova, Julian Fiérrez

CoRR, 2023

User Experience Study using a System for Generating MultiModal Learning Analytics Dashboards.

Álvaro Becerra, Roberto Daza, Ruth Cobos, Aythami Morales, Julian Fiérrez

Proceedings of the XXIII International Conference on Human Computer Interaction, 2023

M2LADS: A System for Generating MultiModal Learning Analytics Dashboards.

Álvaro Becerra, Roberto Daza, Ruth Cobos, Aythami Morales, Mutlu Cukurova, Julian Fiérrez

Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023