• Analysis of Students' Behavior through User Clustering in Online Learning Settings, Based on Self Organizing Maps Neural Networks 

      Delgado, Soledad; Morán, Federico; San José, José Carlos ; Burgos, Daniel (Institute of Electrical and Electronics Engineers Inc., 2021)
      An accurate analysis of user behaviour in online learning environments is a useful means of early follow up of students, so that they can be better supported to improve their performance and achieve the expected competences. ...
    • 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 ...
    • Comparison of Clustering Algorithms for Learning Analytics with Educational Datasets 

      Martínez Navarro, Álvaro; Moreno-Ger, Pablo (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2018)
      Learning Analytics is becoming a key tool for the analysis and improvement of digital education processes, and its potential benefit grows with the size of the student cohorts generating data. In the context of Open ...