• Clustering of LMS Use Strategies with Autoencoders 

      Verdú, María J; Regueras, Luisa M.; de Castro, Juan-Pablo; Verdú, Elena (Applied Sciences (Switzerland), 2023)
      Learning Management Systems provide teachers with many functionalities to offer materials to students, interact with them and manage their courses. Recognizing teachers’ instructing styles from their course designs would ...
    • Monitoring student progress using virtual appliances: A case study 

      Romero Zaldivar, Vicente Arturo; Pardo, Abelardo; Burgos, Daniel ; Delgado Kloos, Carlos (Computers and Education, 05/2012)
      The interactions that students have with each other, with the instructors, and with educational resources are valuable indicators of the effectiveness of a learning experience. The increasing use of information and ...
    • Predictive Model for Taking Decision to Prevent University Dropout 

      Urbina-Nájera, Argelia B.; Méndez-Ortega, Luis A. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      Dropout is an educational phenomenon studied for decades due to the diversity of its causes, whose effects fall on society's development. This document presents an experimental study to obtain a predictive model that allows ...
    • Supporting Skill Assessment in Learning Experiences Based on Serious Games Through Process Mining Techniques 

      Caballero-Hernández, Juan Antonio; Palomo-Duarte, Manuel; Dodero, Juan Manuel; Gaševic, Dragan (International Journal of Interactive Multimedia and Artificial Intelligence, 05/2023)
      Learning experiences based on serious games are employed in multiple contexts. Players carry out multiple interactions during the gameplay to solve the different challenges faced. Those interactions can be registered in ...
    • Using Meta-Learning to predict student performance in virtual learning environments 

      Casado Hidalgo, Ángel; Moreno-Ger, Pablo; De la Fuente-Valentin, Luis (Applied Intelligence, 2022)
      Educational Data Science has meant an important advancement in the understanding and improvemen of learning models in recent years. One of the most relevant research topics is student performance prediction through ...