Advances in Analytics for Learning and Teaching

Adoption of Data Analytics in Higher Education Learning and Teaching

Editors: Ifenthaler, Dirk, Gibson, David (Eds.)

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  • Provides insights into how higher education institutions adopt learning analytics and data mining studies
  • Contributions from distinguished international researchers
  • Considers theoretical perspectives, innovative technologies,implementation, and assessment strategies for learning analytics in higher education
  • Includes case studies showing innovative approaches for learning analytics in higher education
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eBook 106,99 €
price for Spain (gross)
  • ISBN 978-3-030-47392-1
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 135,19 €
price for Spain (gross)
About this book

The book aims to advance global knowledge and practice in applying data science to transform higher education learning and teaching to improve personalization, access and effectiveness of education for all. Currently, higher education institutions and involved stakeholders can derive multiple benefits from educational data mining and learning analytics by using different data analytics strategies to produce summative, real-time, and predictive or prescriptive insights and recommendations. Educational data mining refers to the process of extracting useful information out of a large collection of complex educational datasets while learning analytics emphasizes insights and responses to real-time learning processes based on educational information from digital learning environments, administrative systems, and social platforms.

This volume provides insight into the emerging paradigms, frameworks, methods and processes of managing change to better facilitate organizational transformation toward implementation of educational data mining and learning analytics. It features current research exploring the (a) theoretical foundation and empirical evidence of the adoption of learning analytics, (b) technological infrastructure and staff capabilities required, as well as (c) case studies that describe current practices and experiences in the use of data analytics in higher education.


Table of contents (21 chapters)

Table of contents (21 chapters)

Buy this book

eBook 106,99 €
price for Spain (gross)
  • ISBN 978-3-030-47392-1
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 135,19 €
price for Spain (gross)
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Bibliographic Information

Bibliographic Information
Book Title
Adoption of Data Analytics in Higher Education Learning and Teaching
Editors
  • Dirk Ifenthaler
  • David Gibson
Series Title
Advances in Analytics for Learning and Teaching
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-47392-1
DOI
10.1007/978-3-030-47392-1
Hardcover ISBN
978-3-030-47391-4
Series ISSN
2662-2122
Edition Number
1
Number of Pages
XXXVIII, 434
Number of Illustrations
30 b/w illustrations, 74 illustrations in colour
Topics