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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
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
ISSN: 2076-3417
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