Listar UNIR REVISTAS por autor 

Listar UNIR REVISTAS por autor "de-la-Fuente-Valentín, Luis"

Mostrando ítems 1-5 de 5

    • Bayesian Knowledge Tracing for Navigation through Marzano’s Taxonomy 

      Cervantes-Perez, Francisco; Navarro-Perales, Joaquin; Franzoni-Velázquez, Ana L.; de-la-Fuente-Valentín, Luis (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      In this paper we propose a theoretical model of an ITS (Intelligent Tutoring Systems) capable of improving and updating computer-aided navigation based on Bloom’s taxonomy. For this we use the Bayesian Knowledge Tracing ...

    • Detecting Image Brush Editing Using the Discarded Coefficients and Intentions 

      López Hernández, Fernando Carlos; de-la-Fuente-Valentín, Luis; Sarría, Íñigo (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)
      This paper describes a quick and simple method to detect brush editing in JPEG images. The novelty of the proposed method is based on detecting the discarded coefficients during the quantization of the image. Another novelty ...

    • Editor’s Note 

      de-la-Fuente-Valentín, Luis; Burgos, Daniel; Mazza, Riccardo (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2014)
      This special issue, Special Issue on Multisensor user tracking and analytics to improve education and other application fields, concentrates on the practical and experimental use of data mining and analytics techniques, ...

    • Emerging Technologies Landscape on Education. A review 

      de-la-Fuente-Valentín, Luis; Carrasco, Aurora; Konya, Kinga; Burgos, Daniel (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2013)
      This paper presents a desk research that analysed available recent studies in the field of Technology Enhanced Learning. The desk research is focused on work produced in the frame of FP6 and FP7 European programs, in the ...

    • Towards the Grade’s Prediction. A Study of Different Machine Learning Approaches to Predict Grades from Student Interaction Data 

      Alonso-Misol Gerlache, Héctor; Moreno-Ger, Pablo; de-la-Fuente-Valentín, Luis (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      There is currently an open problem within the field of Artificial Intelligence applied to the educational field, which is the prediction of students’ grades. This problem aims to predict early school failure and dropout, ...