Predicting academic performance of university students from multi-sources data in blended learning

Wilson Chango, Rebeca Cerezo, Cristóbal Romero

Producción científica: Capítulo del libro/informe/acta de congresoContribución de conferenciarevisión exhaustiva

12 Citas (Scopus)
Idioma originalInglés
Título de la publicación alojadaProceedings of the 2nd International Conference on Data Science, E-Learning and Information Systems, DATA 2019
EditorialAssociation for Computing Machinery
ISBN (versión digital)9781450372848
DOI
EstadoPublicada - 2 dic. 2019
Evento2nd International Conference on Data Science, E-Learning and Information Systems, DATA 2019 - Dubai, Emiratos Árabes Unidos
Duración: 2 dic. 20195 dic. 2019

Serie de la publicación

NombreACM International Conference Proceeding Series

Conferencia

Conferencia2nd International Conference on Data Science, E-Learning and Information Systems, DATA 2019
País/TerritorioEmiratos Árabes Unidos
CiudadDubai
Período2/12/195/12/19

Nota bibliográfica

Publisher Copyright:
© 2019 Association for Computing Machinery. ACM

Financiación

FinanciadoresNúmero del financiador
Department of Science and Innovation
European Regional Development Funds
National Program for Research, Development and InnovationTIN2017-83445-P
Principality of Asturias
Science, Technology and Innovation Plan FC-GRUPIN-IDI/2018/000199
Gobierno del Principado de Asturias
European Commission
National Plan for Science, Technology and Innovation
European Regional Development Fund

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