Advanced Techniques in the Analysis and Prediction of Students' Behaviour in Technology-Enhanced Learning Contexts - Couverture rigide

 
9783036521152: Advanced Techniques in the Analysis and Prediction of Students' Behaviour in Technology-Enhanced Learning Contexts
Couverture rigide
ISBN 10 : 3036521151 ISBN 13 : 9783036521152
Editeur : Mdpi AG, 2021

Synopsis

The development and promotion of teaching-enhanced learning tools in the academic field is leading to the collection of a large amount of data generated from the usual activity of students and teachers. The analysis of these data is an opportunity to improve many aspects of the learning process: recommendations of activities, dropout prediction, performance and knowledge analysis, resource optimization, etc. However, these improvements would not be possible without the application of computer science techniques that have demonstrated high effectiveness for this purpose: data mining, big data, machine learning, deep learning, collaborative filtering, and recommender systems, among other fields related to intelligent systems. This Special Issue provides 17 papers that show advances in the analysis, prediction, and recommendation of applications propelled by artificial intelligence, big data, and machine learning in the teaching-enhanced learning context.

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Éditeur
Mdpi AG
Date d'édition
2021
Langue
anglais
ISBN 10 
3036521151
ISBN 13 
9783036521152
Reliure
Relié
Nombre de pages
370
Éditeur
A G´omez-Pulido Juan, Park Young, Soto Ricardo
Coordonnées du fabricant
non disponible
Personne responsable
non disponible