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Reducing gaps in quantitative association rules: A genetic programming free-parameter algorithm
(IOS Press, 2014)
The extraction of useful information for decision making is a challenge in many different domains. Association rule mining is one of the most important techniques in this field, discovering relationships of interest among ...
Algoritmos Evolutivos para Descubrimiento de Reglas de Predicción en la Mejora de Sistemas Educativos Adaptativos basados en Web
(Universidad de Castilla-La Mancha, Escuela Superior de Informática, 2005)
Este artículo muestra la utilización de los algoritmos evolutivos para el descubrimiento de
reglas de predicción que se utilizarán en la mejora de Cursos Hipermedia Adaptativos basados en Web. Se
ha desarrollado una ...
Sistema de consulta de notas a través de Páginas Web y de Telefonía Móvil
(Universidad de Córdoba, Vicerrectorado de Innovación y Calidad Docente, 2005)
In this paper we are going to present a system which lets any student at Cordoba University knows what the final qualifications he has obtained in the different subjects he is registered are. The sytem lets him consult the ...
Sistemas de evaluación de los alumnos mediante test informatizados utilizando telefonía móvil
(Universidad de Córdoba, Vicerrectorado de Innovación y Calidad Docente, 2007)
This paper describes a system for executing adaptive tests in mobile devices. Tests are generated in XML files using Test Editor that is a author tool integrated in AHA! system. These tests are interpreted by our system ...
Herramienta Autor para la Gestión de Tests Informatizados dentro del Sistema AHA!
(Universidad de Castilla-La Mancha, Escuela Superior de Informática, 2006)
En este artículo presentamos Test Editor, una herramienta autor para la construcción de test
informatizados, tanto clásicos como adaptativos, a través del Web. Esta herramienta facilita el desarrollo y
mantenimiento de ...
Subgroup Discovery in MOOCs: A Big Data Application for Describing Different Types of Learners
(Taylor & Francis, 2019)
The aim of this paper is to categorize and describe di erent types of learners in mas-
sive open online courses (MOOCs) by means of a subgroup discovery approach based
on MapReduce. The nal objective is to discover ...
Educational data mining and learning analytics: An updated survey
(Wiley, 2020)
This survey is an updated and improved version of the previous one published
in 2013 in this journal with the title “data mining in education”. It reviews in a
comprehensible and very general way how Educational Data ...
Modeling and predicting students’ engagement behaviors using mixture Markov models
(Springer, 2022)
Students’ engagements reflect their level of involvement in an ongoing learning processwhich
can be estimated through their interactions with a computer-based learning or assessment
system. A pre-requirement for stimulating ...