Alvaro Becerra
Scholar

Alvaro Becerra

Google Scholar ID: RW5tG08AAAAJ
Universidad Autónoma de Madrid
Learning AnalyticsMultimodal Learning AnalyticsMachine Learning
Citations & Impact
All-time
Citations
78
 
H-index
5
 
i10-index
2
 
Publications
14
 
Co-authors
7
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • - Publications:
  • - AI-Based Multimodal Biometrics for Detecting Smartphone Distractions: Application to Online Learning, 2026
  • - Enhancing online learning by integrating biosensors and multimodal learning analytics for detecting and predicting student behaviour: a review, 2025
  • - A multimodal dataset for understanding the impact of mobile phones on remote online virtual education, 2025
  • - Enhancing the Professional Development of Engineering Students through an AI-Based Collaborative Feedback System, 2025
  • - M2LADS Demo: A System for Generating Multimodal Learning Analytics Dashboards, 2025
  • - MOSAIC-F: A Framework for Enhancing Students' Oral Presentation Skills through Personalized Feedback, 2025
  • - ENHANCING ORAL PRESENTATION COMPETENCE WITH A COLLABORATIVE FEEDBACK PROCESS SUPPORTED BY AN ARTIFICIAL INTELLIGENCE APPROACH, 2024
  • - Biometrics and Behavior Analysis for Detecting Distractions in e-Learning, 2024
  • - VAAD: Visual Attention Analysis Dashboard Applied to e-Learning, 2024
  • - A Generative AI-Based Personalized Guidance Tool for Enhancing the Feedback to MOOC Learners, 2024
  • - M2LADS: A System for Generating MultiModal Learning Analytics Dashboards, 2023
  • - User experience study using a system for generating multimodal learning analytics dashboards, 2023
  • - Awards: Second Prize Award for Best Final Degree Project in the 9th edition of the AIPO Association's awards for Best Final Degree Project
Research Experience
  • - Member: Grupo de Herramientas Interactivas Avanzadas (GHIA)
  • - Collaboration: Biometrics and Data Pattern Analytics Lab (BiDA-Lab), since 2023
  • - Research Project: Educational and support technologies using multimodal and biometric data to understand, detect, and predict student behavior, aiming to provide personalized feedback
Education
  • - PhD: Computer Engineering, Universidad Autónoma de Madrid (UAM), 2023 - present
  • - Master's Degree: Data Science, Universidad Autónoma de Madrid (UAM), 2024
  • - Bachelor's Degree: Double Degree in Computer Sciences and Mathematics, Universidad Autónoma de Madrid (UAM), 2023
Background
  • - Research Interests: Multimodal Learning Analytics, MOOCs, e-learning, Machine Learning, Biometric Behavior Analysis, Online and In-person Monitoring, Biosensors
  • - Professional Field: Computer Engineering
  • - Brief Introduction: Currently pursuing a PhD in the Department of Computer Engineering at Universidad Autónoma de Madrid (UAM), focusing on using multimodal and biometric data to understand, detect, and predict student behavior, aiming to provide personalized feedback through generative AI.