LASI Spain 2026
Learning Analytics Summer Institute Spain 2026

Table of Contents

• Learning Analytics: Looking Ahead (preface by the editors) 1–5
  Ángel Hernández-García, Antonio Balderas, Miguel Ángel Conde, Ruth Cobos, Yannis Dimitriadis, Alejandra Martínez-Monés

Summary: There were 16 papers submitted for peer review to this event. Out of these, 13 papers were accepted for this volume, including 9 short papers and 4 doctoral consortium papers.

Short Papers Session I: AI-Based Feedback and Early Warning

• AICoFe: Implementation and Deployment of an AI-Based Collaborative Feedback System for Higher Education
  Alvaro Becerra, Alejandra Palma, Ruth Cobos
  6–14
• From Interaction Categories to Temporal Learning Processes: A Work-in-Progress Proposal for Learning Analytics in LMS
  Ángel Hernández-García, Carlos Cuenca-Enrique, Laura Del-Río-Carazo, Emiliano Acquila-Natale
  15–23
• LMS-Based Early Warning in an AI-Permissive Software Engineering Course
  Andrea Vázquez-Ingelmo, Francisco José García-Peñalvo, Alicia García-Holgado, M. Puerto Paule-Ruiz
  24–28

Short Papers Session II: AI Tools for Assessment and Inclusion

• AISSA: Implementation and Deployment of an AI-Based Student Slides Analysis Tool for Academic Presentations
  Alvaro Becerra, Diego Gomez, Ruth Cobos
  29–37
• Toward Inclusive Learning Analytics: A Multi-Profile Approach
  Tharife Nabil Al-Khuffash, Julio Santilario Berthilier, Cristina Alonso-Fernández, Antonio Calvo-Morata, Baltasar Fernández-Manjón
  38–46
• When Practice Meets Theory: From Trace and Self-Reported Data to Self-Regulated Learning Model
  Inma Haba-Ortuño, María Jesús Rodríguez-Triana, Sara Villagrá-Sobrino, Cecilia Saint-Pierre
  47–55

Short Papers Session III: Institutional Analytics and Bias

• Lightweight Institutional Analytics: A Construct-Oriented Workflow for Course-Level LMS Indicators
  Ariel Ortiz-Beltrán, Davinia Hernández-Leo
  56–65
• Analysis of Bias in Student Modelling and Prediction Using Learning Analytics on edX MOOC Data
  Pedro Manuel Moreno-Marcos, Alicia Ramirez-Arrabe, Carlos Alario-Hoyos, Pedro J. Muñoz-Merino, Iria Estévez-Ayres, Carlos Delgado Kloos
  66–74
• Early Prediction of Academic Performance in a Database Course Using Moodle Interaction Logs
  Antonio Balderas, Juan Antonio Caballero-Hernández, Manuel Palomo-Duarte, Andrés Muñoz, Juan Manuel Dodero
  75–82

Doctoral Consortium

• Enhancing Student Learning in Online and Face-to-Face Contexts Using Multimodal Learning Analytics and Artificial Intelligence
  Alvaro Becerra, Ruth Cobos
  83–91
• Integrating Variability Models and Ontologies for LLM-Based Multi-Agent Systems in Academic Domains
  Noelia Lopez-Duran, Jesús Moreno-León, Antonio Balderas
  92–100
• Leveraging Generative AI Conversational Agents to Humanize Self-Regulated Learning
  Nina Yarovenko-Kuzminykh, Manuel Caeiro-Rodríguez, Fernando Ariel Mikic-Fonte
  101–108
• Support for the Orchestration of Agile Teaching-Learning Processes through Learning Analytics and Generative Artificial Intelligence
  Clara Gándara-González, María Jesús Rodríguez-Triana, Alejandra Martínez-Monés, Miguel A. Martínez-Prieto
  109–115