• A Fine-Grained Model to Assess Learner-Content and Methodology Satisfaction in Distance Education 

      Cantabella, Magdalena; Martínez-España, Raquel; López, Belén; Muñoz, Andrés (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)
      Learning Management System (LMS) platforms have led to a transformation in Universities in the last decade, helping them to adapt and expand their services to new technological challenges. These platforms have made possible ...
    • A Predictive System Informed by Students’ Similar Behaviour 

      Burgos, Daniel (1) (Sustainability, 2020)
      It is quite complex to adapt instruction to student needs in view of online education owing to the ensuing communication disconnection in such learning environments. Decision support schemes offer assistance by automatically ...
    • Background similarities as a way to predict students' behaviour 

      Burgos, Daniel (1) (Sustainability, 02/12/2019)
      The number of students opting for online educational platforms has been on the rise in recent years. Despite the upsurge, student retention is still a challenging task, with some students recording low-performance margins ...
    • Learning Analytics to Detect Evidence of Fraudulent Behaviour in Online Examinations 

      Balderas, Antonio; Palomo-Duarte, Manuel; Caballero-Hernández, Juan Antonio; Rodriguez-Garcia, Mercedes; Dodero, Juan Manuel (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      Lecturers are often reluctant to set examinations online because of the potential problems of fraudulent behaviour from their students. This concern has increased during the coronavirus pandemic because courses that were ...
    • Time-Dependent Performance Prediction System for Early Insight in Learning Trends 

      Villagrá-Arnedo, Carlos; Gallego-Durán, Francisco; Llorens-Largo, Faraón; Satorre-Cuerda, Rosana; Compañ-Rosique, Patricia; Molina-Carmona, Rafael (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2020)
      Performance prediction systems allow knowing the learning status of students during a term and produce estimations on future status, what is invaluable information for teachers. The majority of current systems statically ...
    • Towards an Ontology to Describe the Taxonomy of Common Modules in Learning Management Systems 

      Montenegro-Marin, Carlos Enrique; Cueva-Lovelle, Juan Manuel; Sanjuan, Oscar; Nuñez-Valdez, Edward Rolando (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2011)
      This article have the objective a create ontology for "common modules in a Learning Management Systems", the steps for the build Ontology were: Determine the domain and scope of the ontology, Consider reusing existing ...