Please use this identifier to cite or link to this item: doi:10.22028/D291-35856
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Title: Intelligent systems and learning data analytics in online education
Editor(s): Caballe, Santi
Demetriadis, Stavros N.
Gómez-Sánchez, Eduardo
Papadopoulos, Pantelis M.
Weinberger, Armin
Language: English
Publisher/Platform: Elsevier
Year of Publication: 2021
Place of publication: San Diego
Publikation type: Edited Boook (Anthology)
Abstract: Intelligent Systems and Learning Data Analytics in Online Education provides novel artificial intelligence (AI) and analytics-based methods to improve online teaching and learning. This book addresses key problems such as attrition and lack of engagement in MOOCs and online learning in general. This book explores the state of the art of artificial intelligence, software tools and innovative learning strategies to provide better understanding and solutions to the various challenges of current e-learning in general and MOOC education. In particular, Intelligent Systems and Learning Data Analytics in Online Education shares stimulating theoretical and practical research from leading international experts. This publication provides useful references for educational institutions, industry, academic researchers, professionals, developers, and practitioners to evaluate and apply.
URL of the first publication: https://www.elsevier.com/books/intelligent-systems-and-learning-data-analytics-in-online-education/caballe/978-0-12-823410-5
Link to this record: hdl:20.500.11880/32685
http://dx.doi.org/10.22028/D291-35856
ISBN: 978-0-12-823410-5
Date of registration: 29-Mar-2022
Faculty: HW - Fakultät für Empirische Humanwissenschaften und Wirtschaftswissenschaft
Department: HW - Bildungswissenschaften
Professorship: HW - Prof. Dr. Armin Weinberger
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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