Observatorio de I+D+i UPM

Memorias de investigación
Artículos en revistas:
Can we predict success from log data in VLEs? Classification of interactions for learning analytics and their relation with performance in VLE-supported F2F and online learning
Año:2014
Áreas de investigación
  • Ciencias de la educación
Datos
Descripción
Learning analytics is the analysis of electronic learning data which allows teachers, course designers and administrators of virtual learning environments to search for unobserved patterns and underlying information in learning processes. The main aim of learning analytics is to improve learning outcomes and the overall learning process in electronic learning virtual classrooms and computer-supported education. The most basic unit of learning data in virtual learning environments for learning analytics is the interaction, but there is no consensus yet on which interactions are relevant for effective learning. Drawing upon extant literature, this research defines three system-independent classifications of interactions and evaluates the relation of their components with academic performance across two different learning modalities: virtual learning environment (VLE) supported face-to-face (F2F) and online learning. In order to do so, we performed an empirical study with data from six online and two VLE-supported F2F courses. Data extraction and analysis required the development of an ad hoc tool based on the proposed interaction classification. The main finding from this research is that, for each classification, there is a relation between some type of interactions and academic performance in online courses, whereas this relation is non-significant in the case of VLE-supported F2F courses. Implications for theory and practice are discussed next.
Internacional
Si
JCR del ISI
Si
Título de la revista
Computers in Human Behavior
ISSN
0747-5632
Factor de impacto JCR
2,273
Información de impacto
Datos JCR del año 2013
Volumen
31
DOI
10.1016/j.chb.2013.05.031
Número de revista
Desde la página
542
Hasta la página
550
Mes
FEBRERO
Ranking
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Participantes
  • Autor: Angel Francisco Agudo Peregrina (UPM)
  • Autor: Santiago Iglesias Pradas (UPM)
  • Autor: Miguel Ángel Conde-González (Universidad de León)
  • Autor: Angel Hernandez Garcia (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Innovación, Propiedad industrial y Política tecnológica (INNOPRO)
  • Centro o Instituto I+D+i: Centro de Domótica Integral, CEDINT
  • Departamento: Ingeniería de Organización, Administración de Empresas y Estadística
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