Smart Learning

Please use this identifier to cite or link to this item: http://repositorio.grial.eu/handle/grial/2136

Title:	Smart Learning
Authors:	García-Peñalvo, F. J. Casado-Lumbreras, C. Colomo-Palacios, R. Yadav, A.
Keywords:	artificial intelligence smart systems machine learning deep learning education learning technologies extraction information from educational environments Internet of Things applied to education educational data mining cloud computing in education data mining and big data analysis intelligent systems for education
Issue Date:	6-Oct-2020
Publisher:	MDPI
Citation:	García-Peñalvo, F. J., Casado-Lumbreras, C., Colomo-Palacios, R., & Yadav, A. (2020). Smart Learning. Applied Sciences, 10(9), 6964. doi:10.3390/app10196964
Abstract:	Artificial intelligence applied to the educational field has a vast potential, especially after the effects worldwide of the COVID-19 pandemic. Online or blended educational modes are needed to respond to the health situation we are living in. The tutorial effort is higher than in the traditional face-to-face approach. Thus, educational systems are claiming smarter learning technologies that do not pretend to substitute the faculty but make their teaching activities easy. This Special Issue is oriented to present a collection of papers of original advances in educational applications and services propelled by artificial intelligence, big data, machine learning, and deep learning
URI:	http://repositorio.grial.eu/handle/grial/2136
ISSN:	2076-3417
Appears in Collections:	Publications

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