Big Data on Campus
Data Analytics and Decision Making in Higher Education
Contributions by Tom Gutman, Rana Glasgal, Ying Zhou, Lindsay Wayt, Chris Tompkins, Rachit Thariani, Charles Tegen, Timothy Renick, Huzefa Rangwala, Cathy O'Byan, Val Nestor, Jillian Morn, Sue Menditto, Gail Marsh, Carrie H. Marcinkevage, Jamie Lester, Carrie Klein, Christine Keller, Aditya Johri, Braden Hosch, Brian Hinote and Michael J. Gower
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
About the Authors
"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
Other Titles in EDUCATION / Higher
Other Titles in Higher & further education, tertiary education