Editors:
- Provides an updated view of the application of learning analytics to the educational arena
- Discusses the logistics of learning analytics: theories, models, frameworks, and methods
- Sketches a conceptual frame composed of theoretical, formal, technological and experimental topics
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 94)
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Table of contents (9 chapters)
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Front Matter
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Back Matter
About this book
This book provides a conceptual and empirical perspective on learning analytics, its goal being to disseminate the core concepts, research, and outcomes of this emergent field. Divided into nine chapters, it offers reviews oriented on selected topics, recent advances, and innovative applications. It presents the broad learning analytics landscape and in-depth studies on higher education, adaptive assessment, teaching and learning. In addition, it discusses valuable approaches to coping with personalization and huge data, as well as conceptual topics and specialized applications that have shaped the current state of the art.
By identifying fundamentals, highlighting applications, and pointing out current trends, the book offers an essential overview of learning analytics to enhance learning achievement in diverse educational settings. As such, it represents a valuable resource for researchers, practitioners, and students interested in updating their knowledge and finding inspirations for their future work.
Editors and Affiliations
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Instituto Politécnico Nacional, WOLNM & Escuela Superior de Ingeniería,Mecánica y Eléctrica, Zacatenco, México DF, Mexico
Alejandro Peña-Ayala
Bibliographic Information
Book Title: Learning Analytics: Fundaments, Applications, and Trends
Book Subtitle: A View of the Current State of the Art to Enhance e-Learning
Editors: Alejandro Peña-Ayala
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-319-52977-6
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-52976-9Published: 28 February 2017
Softcover ISBN: 978-3-319-85029-0Published: 13 July 2018
eBook ISBN: 978-3-319-52977-6Published: 17 February 2017
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: XII, 303
Number of Illustrations: 24 b/w illustrations, 57 illustrations in colour
Topics: Computational Intelligence, Educational Technology, Learning & Instruction, Technology and Digital Education