The Analytics Revolution in Higher Education : Big Data, Organizational Learning, and Student Success
Language: English
Published by Stylus Publishing, LLC, 2018
- Softcover
- Used

Seller: Better World Books: West, Reno, NV, U.S.A.Better World Books: West
AbeBooks seller since March 14, 2016
Condition: Used - Very good
US$ 8.80
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Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Seller Inventory # 57714720-75
- Title
- The Analytics Revolution in Higher Education : Big Data, Organizational Learning, and Student Success
- Publisher
- Stylus Publishing, LLC
- Publication year
- 2018
- Condition
- Very Good
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1620365774
- ISBN 13
- 9781620365779
- Item weight
- 0.661 pounds
- Dimensions
- N/A
Co-published with and In this era of “Big Data,” institutions of higher education are challenged to make the most of the information they have to improve student learning outcomes, close equity gaps, keep costs down, and address the economic needs of the communities they serve at the local, regional, and national levels. This book helps readers understand and respond to this “analytics revolution,” examining the evolving dynamics of the institutional research (IR) function, and the many audiences that institutional researchers need to serve.Internally, there is a growing need among senior leaders, administrators, faculty, advisors, and staff for decision analytics that help craft better resource strategies and bring greater efficiencies and return-on-investment for students and families. Externally, state legislators, the federal government, and philanthropies demand more forecasting and more evidence than ever before. These demands require new and creative responses, as they are added to previous demands, rather than replacing them, nor do they come with additional resources to produce the analysis to make data into actionable improvements. Thus the IR function must become that of teacher, ensuring that data and analyses are accurate, timely, accessible, and compelling, whether produced by an IR office or some other source. Despite formidable challenges, IR functions have begun to leverage big data and unlock the power of predictive tools and techniques, contributing to improved student outcomes.
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Better World Books: West
Reno, NV, U.S.A.
AbeBooks seller since March 14, 2016
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