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eBay-Artikelnr.:356812062303
Artikelmerkmale
- Artikelzustand
- Book Title
- Big Data on Campus : Data Analytics and Decision Making in Higher
- ISBN
- 9781421439037
Über dieses Produkt
Product Identifiers
Publisher
Johns Hopkins University Press
ISBN-10
1421439034
ISBN-13
9781421439037
eBay Product ID (ePID)
7038653538
Product Key Features
Number of Pages
288 Pages
Publication Name
Big Data on Campus : Data Analytics and Decision Making in Higher Education
Language
English
Publication Year
2020
Subject
General, Higher, Databases / Data Mining, Administration / Higher
Type
Textbook
Subject Area
Computers, Education
Format
Hardcover
Dimensions
Item Height
0.8 in
Item Weight
20.8 Oz
Item Length
9.2 in
Item Width
6.2 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2019-059971
Dewey Edition
23
Reviews
"The authors do an excellent job of explaining the nuances between data-driven decision making and data-informed decision making, and why the latter is more appropriate in the context of higher education's shared governance process. I've never seen a book like this in our profession. I expect it to be regularly used in graduate programs in higher education administration. It will also serve as an excellent reference for institutional leadership teams planning to undertake major change."?Jack Suess, Vice President of Information Technology / CIO, University of Maryland, Baltimore County "Presidents, provosts, senior administrators, and trustees will find this volume informative and useful for bringing them up to speed on a rapidly evolving set of tools that will be central to higher education administration going forward."?Peter H. Henderson, Senior Advisor to the President, University of Maryland, Baltimore County "Collecting a series of essays that relate to the roles of decision makers and practitioners, this wonderful book is nuanced, original, and complementary of other works in the field. The scholarship and sourcing are exceptionally thoughtful, thorough, and sound."?Jonathan S. Gagliardi, Assistant Vice President of Strategy, Policy, and Analytics, Herbert H. Lehman College, coeditor of The Analytics Revolution in Higher Education: Big Data, Organizational Learning, and Student Success "Webber and Zheng bring together scholars and practitioners working on the cutting edge of predictive data analytics on college campuses. Together, the chapters offer a comprehensive strategic, operational, and theoretical approach to the challenges and opportunities of data-informed decision-making in higher education. A 'must read' for higher education leaders and scholars."?Jaime R. Lester, Associate Dean of Faculty Affairs and Strategic Initiatives, George Mason University, author of Learning Analytics in Higher Education: Current Innovations, Future Potential, and Practical Applications "Webber and Zheng have done an immense service to higher education, particularly in this age of the coronavirus. Institutions of higher education have rarely faced such great challenges with so little information on how to proceed. This book provides the construct and tools necessary for university leaders to make positive and transformative decisions in a post-pandemic world."?E. Gordon Gee, President, West Virginia University "Colleges and universities are catching up rapidly to other industries in their use of data and analytics. This edited volume by Webber and Zheng reviews the state of the analytics art in key functional areas within higher education, while the editors' own chapters reinforce the need for critical human capabilities in data-driven universities."?Thomas H. Davenport, Fellow, MIT Initiative on the Digital Economy, Babson College, author of Competing on Analytics and The AI Advantage
Grade From
College Graduate Student
Illustrated
Yes
Dewey Decimal
378.101
Table Of Content
Foreword, by Christine KellerAcknowledgements Part I: Technology, Digitization, Big Data, and Analytics Maturity as the Enabling Conditions for Data-informed Decision-Making 1. Data Analytics and the Imperatives for Data-Informed Decision Making in Higher Education, by Karen L. Webber and Henry Y. Zheng2. Big Data and the Transformation of Decision Making in Higher Education, by Braden Hosch3. Predictive Analytics and its Uses in Higher Education, by Henry Y. Zheng and Ying Zhou Part II: The Ethical, Cultural, and Managerial Imperatives of Data-informed Decision Making in Higher Education 4. Limitations in Data Analytics: Potential Misuse and Misunderstanding in Data Reports and Visualizations, by Karen L. Webber and Jillian Morn5. Guiding Your Organization's Data Strategy: The Roles of University Senior Leaders and Trustees in Strategic Analytics, by Gail Marsh and Rachit Thariani6. Data Governance, Data Stewardship and the Building of an AnalyticsOrganizational Culture, by Rana Glasgal and Val Nestor Part III: The Application of Analytics in Higher Education Decision-Making: Case Studies 7. Data Analytics & Decision-Making in Admissions & Enrollment Management, by Tom Gutman and Brian Hinote8. Predictive Analytics, Academic Advising, Early Alerts and Student Success, by Timothy Renick9. Constituent Relationship Management and Student Engagement Lifecycle, by Cathy O'Byan, Chris Tompkins, and Carrie H. Marcinkevage10. Learning Analytics for Learning Assessment: Complexities in Efficacy, Implementation, and Broad Use, by Carrie Klein, Jamie Lester, Huzefa Rangwala, and Aditya Johri11. Using Data Analytics to Support Institutional Financial and Operational Efficiency, by Lindsay Wayt, Sue Menditto, Michael J. Gower, and Charles Tegen Part IV: Concluding Comments 12. Data-Informed Decision Making and the Pursuit of Analytics Maturity in Higher Education, by Karen L. Webber and Henry Y. Zheng
Synopsis
How data-informed decision making can make colleges and universities more effective institutions. The continuing importance of data analytics is not lost on higher education leaders, who face a multitude of challenges, including increasing operating costs, dwindling state support, limits to tuition increases, and increased competition from the for-profit sector. To navigate these challenges, savvy leaders must leverage data to make sound decisions. In Big Data on Campus , leading data analytics experts and higher ed leaders show the role that analytics can play in the better administration of colleges and universities. Aimed at senior administrative leaders, practitioners of institutional research, technology professionals, and graduate students in higher education, the book opens with a conceptual discussion of the roles that data analytics can play in higher education administration. Subsequent chapters address recent developments in technology, the rapid accumulation of data assets, organizational maturity in building analytical capabilities, and methodological advancements in developing predictive and prescriptive analytics. Each chapter includes a literature review of the research and application of analytics developments in their respective functional areas, a discussion of industry trends, examples of the application of data analytics in their decision process, and other related issues that readers may wish to consider in their own organizational environment to find opportunities for building robust data analytics capabilities. Using a series of focused discussions and case studies, Big Data on Campus helps readers understand how analytics can support major organizational functions in higher education, including admission decisions, retention and enrollment management, student life and engagement, academic and career advising, student learning and assessment, and academic program planning. The final section of the book addresses major issues and human factors involved in using analytics to support decision making; the ethical, cultural, and managerial implications of its use; the role of university leaders in promoting analytics in decision making; and the need for a strong campus community to embrace the analytics revolution. Contributors: Rana Glasgal, J. Michael Gower, Tom Gutman, Brian P. Hinote, Braden J. Hosch, Aditya Johri, Christine M. Keller, Carrie Klein, Jaime Lester, Carrie Hancock Marcinkevage, Gail B. Marsh, Susan M. Menditto, Jillian N. Morn, Valentina Nestor, Cathy O'Bryan, Huzefa Rangwala, Timothy Renick, Charles Tegen, Rachit Thariani, Chris Tompkins, Lindsay K. Wayt, Karen L. Webber, Henry Y. Zheng, Ying Zhou, The continuing importance of data analytics is not lost on higher education leaders, who face a multitude of challenges, including increasing operating costs, dwindling state support, limits to tuition increases, and increased competition from the for-profit sector. To navigate these challenges, savvy leaders must leverage data to make sound decisions. In Big Data on Campus , leading data analytics experts and higher ed leaders show the role that analytics can play in the better administration of colleges and universities. Aimed at senior administrative leaders, practitioners of institutional research, technology professionals, and graduate students in higher education, the book opens with a conceptual discussion of the roles that data analytics can play in higher education administration. Subsequent chapters address recent developments in technology, the rapid accumulation of data assets, organizational maturity in building analytical capabilities, and methodological advancements in developing predictive and prescriptive analytics. Each chapter includes a literature review of the research and application of analytics developments in their respective functional areas, a discussion of industry trends, examples of the application of data analytics in their decision process, and other related issues that readers may wish to consider in their own organizational environment to find opportunities for building robust data analytics capabilities. Using a series of focused discussions and case studies, Big Data on Campus helps readers understand how analytics can support major organizational functions in higher education, including admission decisions, retention and enrollment management, student life and engagement, academic and career advising, student learning and assessment, and academic program planning. The final section of the book addresses major issues and human factors involved in using analytics to support decision making; the ethical, cultural, and managerial implications of its use; the role of university leaders in promoting analytics in decision making; and the need for a strong campus community to embrace the analytics revolution. Contributors: Rana Glasgal, J. Michael Gower, Tom Gutman, Brian P. Hinote, Braden J. Hosch, Aditya Johri, Christine M. Keller, Carrie Klein, Jaime Lester, Carrie Hancock Marcinkevage, Gail B. Marsh, Susan M. Menditto, Jillian N. Morn, Valentina Nestor, Cathy O'Bryan, Huzefa Rangwala, Timothy Renick, Charles Tegen, Rachit Thariani, Chris Tompkins, Lindsay K. Wayt, Karen L. Webber, Henry Y. Zheng, Ying Zhou, The continuing importance of data analytics is not lost on higher education leaders, who face a multitude of challenges, including increasing operating costs, dwindling state support, limits to tuition increases, and increased competition from the for-profit sector. To navigate these challenges, savvy leaders must leverage data to make sound ......
LC Classification Number
LB2341.B4785 2020
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