In this special edition of the Learning Analytics track at TEEM 2024 we seek to delve into the innovative realm of grey-box modelling applied to Learning Analytics. As the field seeks a balance between the interpretability of white-box modelling and the predictive power of black-box modelling, we invite submissions that explore the application of grey-box modelling in enhancing our understanding of learning processes. This track encourages contributions that bridge the gap between educational research theories and machine learning models, offering insights into the relationships between variables and shedding light on the decision-making processes within learning analytics.

Topics

• Grey-box modelling:
  • Integrating educational research theories with machine learning models
  • Explainable Artificial Intelligence (XAI) in Learning Analytics
  • Interpretable models for personalized learning experiences
  • Case studies in grey-box modelling
  • Methods for grey-box modelling
• Other topics on Learning Analytics:
  • Learning Analytics and instructional design
  • Multimodal Learning Analytics
  • Ethical considerations in Learning Analytics
  • Data privacy and security in Learning Analytics
  • Learning Analytics for Personal Learning Environments (PLEs)
  • Success stories and case studies in Learning Analytics
  • Educational research and Learning Analytics
  • New approaches and methods in Learning Analytics
  • Interoperability and standards for Learning Analytics

Track Scientific Committee

Agustín Carlos Caminero-Herráez, Universidad Nacional de Educación a Distancia, Spain
Ainhoa Izaro Álvarez Arana, Universidad del País Vasco / Euskal Herriko Unibertsitatea, Spain
Alejandra Martínez-Monés, Universidad de Valladolid, Spain
Ana Isabel Jiménez-Zarco, Universitat Oberta de Catalunya, Spain
Antonio Balderas Alberico, Universidad de Cádiz, Spain
Antonio Fumero-Reverón, Universidad Politécnica de Madrid, Spain
Antonio Robles-Gómez, Universidad Nacional de Educación a Distancia, Spain
Camino Fernández-Llamas, Universidad de León, Spain
Carlos Cuenca-Enrique, Universidad Politécnica de Madrid, Spain
David Griffiths, Universidad Internacional de la Rioja, Spain
Daniel Amo-Filvà, La Salle – Universitat Ramon Llull, Spain
Emiliano Acquila-Natale, Universidad Politécnica de Madrid, Spain
Gustavo Ribeiro Alves, Instituto Politécnico do Porto, Portugal
Juan Antonio Martínez-Carrascal, Universitat Oberta de Catalunya, Spain
Juan Cruz-Benito, IBM Research, USA
Julián Chaparro-Peláez, Universidad Politécnica de Madrid, Spain
Laura-Del-Río-Carazo, Universidad Politécnica de Madrid, Spain
Manuel Caeiro-Rodríguez, Universidade de Vigo, Spain
María Arcelina Marques, Instituto Politécnico do Porto, Portugal, Porto
Martín Liz-Domínguez, Universidade de Vigo, Spain
Mikel Larrañaga, Euskal Herriko Unibertsitatea, Spain
Milos Milovanovic, Univerzitet u Beogradu, Serbia
Miroslav Minovic, Univerzitet u Beogradu, Serbia
Mohammed Saqr, University of Eastern Finland, Finland
Nic Nistor, Ludwig-Maximilians-Universität München, Germany
Pedro José Muñoz-Merino, Universidad Carlos III, Spain
Pedro Manuel Moreno-Marcos, Universidad Carlos III, Spain
Ruth Cobos, Universidad Autónoma de Madrid, Spain
Salvador Ros-Muñoz, Universidad Nacional de Educación a Distancia, Spain
Santiago Iglesias-Pradas, Universidad Politécnica de Madrid, Spain
Sonsoles López-Pernas, University of Eastern Finland, Finland
Teresa Sancho, Universitat Oberta de Catalunya, Spain

CHAIRS: