Listar DIAN-Artículos, capítulos... por autor "baa79b27-3034-4a3e-a310-c98a63e213fc"
Mostrando ítems 1-19 de 19
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A holographic mobile-based application for practicing pronunciation of basic English vocabulary for Spanish speaking children
Romero Morales, C.; Cerezo, Rebeca; Calderón, Vicente (Elsevier, 2019)This paper describes a holographic mobile-based application designed to help Spanish-speaking children to practice the pronunciation of basic English vocabulary words. The mastery of vocabulary is a fundamental step when ... -
A review on data fusion in multimodal learning analytics and educational data mining
Chango, Wilson; Lara, Juan A.; Cerezo, Rebeca; Romero Morales, C. (Wiley, 2022)The new educational models such as smart learning environments use of digital and context-aware devices to facilitate the learning process. In this new educational scenario, a huge quantity of multimodal students' data ... -
Algoritmos Evolutivos para Descubrimiento de Reglas de Predicción en la Mejora de Sistemas Educativos Adaptativos basados en Web
Romero Morales, C.; Ventura Soto, S.; Castro Lozano, Carlos de; García, Enrique (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 ... -
Análisis del nivel de atención de los alumnos en clase utilizando NeuroSky’s MindWave Mobile
Romero Morales, C.; Luna Ariza, José María; Bogarín Vega, Alejandro; Luque Rodríguez, María; González Espejo, Pedro (UCOPress, 2018)Este artículo describe un software en Android específico para el dispositivo NeuroSky’s MindWave Mobile, con el que poder medir el nivel de atención de los estudiantes de grado en informática durante las sesiones tradicionales ... -
Aplicando minería de datos para descubrir rutas de aprendizaje frecuentes en Moodle
Bogarín Vega, Alejandro; Romero Morales, C.; Cerezo Menéndez, Rebeca (Universidad de Córdoba, UCOPress, 2016)En este artículo, aplicamos técnicas de minería de datos para descubrir rutas de aprendizaje frecuentes. Hemos utilizado datos de 84 estudiantes universitarios, seguidos en un curso online usando Moodle 2.0. Proponemos ... -
Assignments as Influential Factor to Improve the Prediction of Student Performance in Online Courses
Esteban, Aurora; Romero Morales, C.; Zafra Gómez, Amelia (MDPI, 2021)Studies on the prediction of student success in distance learning have explored mainly demographics factors and student interactions with the virtual learning environments. However, it is remarkable that a very limited ... -
Educational data mining and learning analytics: An updated survey
Romero Morales, C.; Ventura Soto, S. (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 ... -
Helping university students to choose elective courses by using a hybrid multi-criteria recommendation system with genetic optimization
Esteban, Aurora; Zafra, Amelia; Romero Morales, C. (Elsevier, 2020)The wide availability of specific courses together with the flexibility of academic plans in university studies reveal the importance of Recommendation Systems (RSs) in this area. These systems appear as tools that help ... -
Herramienta Autor para la Gestión de Tests Informatizados dentro del Sistema AHA!
Romero Morales, C.; Ventura Soto, S.; Hervás-Martínez, César; Rider, Isaac; Martín-Palomo, Santiago (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 ... -
Improving prediction of students’ performance in intelligent tutoring systems using attribute selection and ensembles of different multimodal data sources
Chango, Wilson; Cerezo, Rebeca; Sánchez‑Santillán, Miguel; Azevedo, Roger; Romero Morales, C. (Springer, 2021)The aim of this study was to predict university students’ learning performance using different sources of performance and multimodal data from an Intelligent Tutoring System. We collected and preprocessed data from 40 ... -
Modeling and predicting students’ engagement behaviors using mixture Markov models
Maqsood, Rabia; Ceravolo, Paolo; Romero Morales, C.; Ventura Soto, S. (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 ... -
Multi-source and multimodal data fusion for predicting academic performance in blended learning university courses
Chango, Wilson; Cerezo, Rebeca; Romero Morales, C. (Elsevier, 2021)In this paper we apply data fusion approaches for predicting the final academic performance of university students using multiple-source, multimodal data from blended learning environments. We collect and preprocess data ... -
Process mining for self-regulated learning assessment in e-learning
Cerezo, Rebeca; Bogarín Vega, Alejandro; Esteban, María; Romero Morales, C. (Springer, 2020)Content assessment has broadly improved in e-learning scenarios in recent decades. However, the eLearning process can give rise to a spatial and temporal gap that poses interesting challenges for assessment of not only ... -
Reducing gaps in quantitative association rules: A genetic programming free-parameter algorithm
Luna, J.M.; Romero, José Raúl; Romero Morales, C.; Ventura Soto, S. (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 ... -
Sistema de consulta de notas a través de Páginas Web y de Telefonía Móvil
Cava Jiménez, David; Romero Morales, C.; Cruz Soto, José Luis; Ventura Soto, S. (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
Gálvez Espinal, C.; Ventura Soto, S.; Romero Morales, C. (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 ... -
Subgroup Discovery in MOOCs: A Big Data Application for Describing Different Types of Learners
Luna, J.M.; Fardoun, H.M.; Padillo, Francisco; Romero Morales, C.; Ventura Soto, S. (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 ... -
Text mining in education
Ferreira-Mello, Rafael; André, Máverick; Pinheiro, Anderson; Costa, Evandro; Romero Morales, C. (Wiley, 2019)The explosive growth of online education environments is generating a massive volume of data, specially in text format from forums, chats, social networks, assessments, essays, among others. It produces exciting challenges ... -
Towards Portability of Models for Predicting Students’ Final Performance in University Courses Starting from Moodle Logs
López-Zambrano, Javier; Lara, Juan A.; Romero Morales, C. (MDPI, 2020)Predicting students’ academic performance is one of the older challenges faced by the educational scientific community. However, most of the research carried out in this area has focused on obtaining the best accuracy ...