Description: Big Data and Learning Analytics in Higher Education by Ben Kei Daniel This book focuses on the uses of big data in the context of higher education. The value of big data is the ability to identify useful data and turn it into useable information by identifying patterns and deviations from patterns. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description This book focuses on the uses of big data in the context of higher education. The book describes a wide range of administrative and operational data gathering processes aimed at assessing institutional performance and progress in order to predict future performance, and identifies potential issues related to academic programming, research, teaching and learning. Big data refers to data which is fundamentally too big and complex and moves too fast for the processing capacity of conventional database systems. The value of big data is the ability to identify useful data and turn it into useable information by identifying patterns and deviations from patterns. Back Cover This book focuses on the uses of big data in the context of higher education. The book describes a wide range of administrative and operational data gathering processes aimed at assessing institutional performance and progress in order to predict future performance, and identifies potential issues related to academic programming, research, teaching and learning. Big data refers to data which is fundamentally too big and complex and moves too fast for the processing capacity of conventional database systems. The value of big data is the ability to identify useful data and turn it into useable information by identifying patterns and deviations from patterns. Author Biography Dr Ben Daniel is a Senior Lecturer in Higher Education, and heads the Educational Technology Group at the University of Otago—New Zealand. In 2007 he completed his Ph.D. jointly in Computer Science and Educational Technology at the University of Saskatchewan in Canada. Previously, Dr Daniel was a Lecturer and a Senior Health Research and Innovation Analyst with the Office of Associate Vice President Research-Health (University of Saskatchewan)/Vice President Research and Innovation (Saskatoon Health Region)—Saskatoon, Canada. For over a decade Dr Daniel taught undergraduate, postgraduate students, academic staff, and Senior Corporate Executives on Research Methodologies; Program Evaluation and Logic Modelling; Quality Improvement, Statistics and Biostatistics as well as Advanced Learning Technologies. An active researcher, Dr Daniel has published over 50 peer-reviewed publications (2 edited books, 2 authored book, 13 book chapters, 10 peer-reviewed journal articles, 26 peer-reviewed conference papers, 10 peer-reviewed workshops and posters, and over 10 technical reports). His current research is focused generally on exploring the value of Big Data and learning analytics in influencing learning, teaching and research in the context of higher education. He is also investigating theories and praxis of teaching research methodologies in Higher Education and the corporate sector. Table of Contents Theory and Practice.- Global challenges in higher education.- Technological trends in higher education.- Data Science.- Big data in higher education.- Learning analytics.- Big Data Platforms and Systems.- Analytical platforms.- Systems.- Databases.- Tools.- Visualization.- Dashboards.- Measurement and Methodologies.- Measures, indicators, metrics.- Data mining techniques.- Data capture.- Data tracking.- Metadata.- Methodologies.- Institutional Best Practices.- Case studies/best practices.- Polyicy implication on learning, teaching, and research.- Challenges and opportunities.- Future Trends.- Lessons learned.- Future perspectives in big data.- Conclusions. Long Description This book focuses on the uses of big data in the context of higher education. The book describes a wide range of administrative and operational data gathering processes aimed at assessing institutional performance and progress in order to predict future performance, and identifies potential issues related to academic programming, research, teaching and learning. Big data refers to data which is fundamentally too big and complex and moves too fast for the processing capacity of conventional database systems. The value of big data is the ability to identify useful data and turn it into useable information by identifying patterns and deviations from patterns. Feature Examines big data and learning analytics and their current state in higher education Reports on the diversity of tools and methods associated with learning analytics Explores new and emerging technologies that facilitate real-time analysis of large data sets Details ISBN3319791516 Author Ben Kei Daniel ISBN-10 3319791516 ISBN-13 9783319791517 Format Paperback Year 2018 Subtitle Current Theory and Practice Edited by Ben Kei Daniel DEWEY 371.3 Pages 272 Imprint Springer International Publishing AG Place of Publication Cham Country of Publication Switzerland Publication Date 2018-04-21 Short Title Big Data and Learning Analytics in Higher Education Language English UK Release Date 2018-04-21 Birth 1959 Affiliation Newcastle University UK Qualifications PhD. Publisher Springer International Publishing AG Edition Description Softcover reprint of the original 1st ed. 2017 Alternative 9783319065199 Audience Professional & Vocational Illustrations 48 Illustrations, color; 8 Illustrations, black and white; XX, 272 p. 56 illus., 48 illus. in color. We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:131030393;
Price: 321.85 AUD
Location: Melbourne
End Time: 2024-12-14T07:52:44.000Z
Shipping Cost: 61.41 AUD
Product Images
Item Specifics
Restocking fee: No
Return shipping will be paid by: Buyer
Returns Accepted: Returns Accepted
Item must be returned within: 30 Days
ISBN-13: 9783319791517
Book Title: Big Data and Learning Analytics in Higher Education
Number of Pages: 272 Pages
Language: English
Publication Name: Big Data and Learning Analytics in Higher Education: Current Theory and Practice
Publisher: Springer International Publishing Ag
Publication Year: 2018
Subject: Teaching
Item Height: 235 mm
Item Weight: 4453 g
Type: Textbook
Author: Ben Kei Daniel
Subject Area: Educational Technology, Developmental Psychology
Item Width: 155 mm
Format: Paperback
