• 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 ...
    • 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 ...