Achievements and challenges in learning analytics in Spain: The view of SNOLA

As in other research fields, the development of learning analytics is influenced by the networks of researchers that contribute to it. This paper describes one of such networks: the Spanish Network of Learning Analytics (SNOLA). The paper presents the research lines of the members of SNOLA, as well...

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Detalles Bibliográficos
Autores: Martínez-Monés, Alejandra, Dimitriadis, Yannis, Acquila-Natale, Emiliano, Álvarez, Ainhoa, Caeiro-Rodríguez, Manuel, Cobos Pérez, Ruth, Caeiro-Rodríguez, Miguel Ángel, García-Peñalvo, Francisco José, Hernández-Leo, Davinia, Menchaca Sierra, Iratxe, Muñoz-Merino, Pedro J., Ros, Salvador, Sancho-Vinuesa, Teresa
Tipo de recurso: artículo
Fecha de publicación:2020
País:España
Institución:Universidad Autónoma de Madrid
Repositorio:Biblos-e Archivo. Repositorio Institucional de la UAM
Idioma:inglés
OAI Identifier:oai:repositorio.uam.es:10486/694579
Acceso en línea:http://hdl.handle.net/10486/694579
https://dx.doi.org/10.5944/ried.23.2.26541
Access Level:acceso abierto
Palabra clave:grupos y organizaciones
procesamiento de datos
tendencia
Informática
Descripción
Sumario:As in other research fields, the development of learning analytics is influenced by the networks of researchers that contribute to it. This paper describes one of such networks: the Spanish Network of Learning Analytics (SNOLA). The paper presents the research lines of the members of SNOLA, as well as the main challenges that learning analytics has to address in the next few years as perceived by these researchers. This analysis is based on SNOLA’s archival data and on a survey carried out to the current members of the network. Although this approach does not cover all the activity related to learning analytics in Spain, the results provide a representative overview of the current state of research related to learning analytics in this context. The paper describes these trends and the main challenges, among which we can point out the need to adopt an ethical commitment with data, to develop systems that respond to the requirements of the end users, and to reach a wider institutional impact