Description

Book 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

Table of Contents

Foreword, by Christine M. Keller
Acknowledgments

Part I. Technology, Digitization, Big Data, and Analytics Maturity as the Enabling Conditions for Data-Informed Decision Making
Chapter 1. Data Analytics and the Imperatives for Data-Informed Decision Making in Higher Education
Karen L. Webber and Henry Y. Zheng
Chapter 2. Big Data and the Transformation of Decision Making in Higher Education
Braden J. Hosch
Chapter 3. Predictive Analytics and Its Uses in Higher Education
Henry Y. Zheng and Ying Zhou

Part II. The Ethical, Cultural, and Managerial Imperatives of Data-Informed Decision Making in Higher Education
Chapter 4. Limitations in Data Analytics: Potential Misuse and Misunderstanding in Data Reports and Visualizations
Karen L. Webber and Jillian N. Morn
Chapter 5. Guiding Your Organization's Data Strategy: The Roles of University Senior Leaders and Trustees in Strategic Analytics
Gail B. Marsh and Rachit Thariani
Chapter 6. Data Governance, Data Stewardship, and the Building of an Analytics
Organizational Culture
Rana Glasgal and Valentina Nestor

Part III. The Application of Analytics in Higher Education Decision Making: Case Studies
Chapter 7. Data Analytics and Decision Making in Admissions and Enrollment Management
Tom Gutman and Brian P. Hinote
Chapter 8. Predictive Analytics, Academic Advising, Early Alerts, and Student Success
Timothy M. Renick
Chapter 9. Constituent Relationship Management and Student Engagement Lifecycle
Cathy A. O'Bryan, Chris Tompkins, and Carrie Hancock Marcinkevage
Chapter 10. Learning Analytics for Learning Assessment: Complexities in Efficacy, Implementation, and Broad Use
Carrie Klein, Jaime Lester, Huzefa Rangwala, and Aditya Johri
Chapter 11. Using Data Analytics to Support Institutional Financial and Operational Efficiency
Lindsay K. Wayt, Susan M. Menditto, J. Michael Gower, and Charles Tegen

Part IV. Concluding Comments
Chapter 12. Data-Informed Decision Making and the Pursuit of Analytics Maturity in Higher Education
Karen L. Webber and Henry Y. Zheng

Contributors
Index

Big Data on Campus

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    A Hardback by Karen L. Webber, Henry Y. Zheng

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      Publisher: Johns Hopkins University Press
      Publication Date: 29/12/2020
      ISBN13: 9781421439037, 978-1421439037
      ISBN10: 1421439034

      Description

      Book 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

      Table of Contents

      Foreword, by Christine M. Keller
      Acknowledgments

      Part I. Technology, Digitization, Big Data, and Analytics Maturity as the Enabling Conditions for Data-Informed Decision Making
      Chapter 1. Data Analytics and the Imperatives for Data-Informed Decision Making in Higher Education
      Karen L. Webber and Henry Y. Zheng
      Chapter 2. Big Data and the Transformation of Decision Making in Higher Education
      Braden J. Hosch
      Chapter 3. Predictive Analytics and Its Uses in Higher Education
      Henry Y. Zheng and Ying Zhou

      Part II. The Ethical, Cultural, and Managerial Imperatives of Data-Informed Decision Making in Higher Education
      Chapter 4. Limitations in Data Analytics: Potential Misuse and Misunderstanding in Data Reports and Visualizations
      Karen L. Webber and Jillian N. Morn
      Chapter 5. Guiding Your Organization's Data Strategy: The Roles of University Senior Leaders and Trustees in Strategic Analytics
      Gail B. Marsh and Rachit Thariani
      Chapter 6. Data Governance, Data Stewardship, and the Building of an Analytics
      Organizational Culture
      Rana Glasgal and Valentina Nestor

      Part III. The Application of Analytics in Higher Education Decision Making: Case Studies
      Chapter 7. Data Analytics and Decision Making in Admissions and Enrollment Management
      Tom Gutman and Brian P. Hinote
      Chapter 8. Predictive Analytics, Academic Advising, Early Alerts, and Student Success
      Timothy M. Renick
      Chapter 9. Constituent Relationship Management and Student Engagement Lifecycle
      Cathy A. O'Bryan, Chris Tompkins, and Carrie Hancock Marcinkevage
      Chapter 10. Learning Analytics for Learning Assessment: Complexities in Efficacy, Implementation, and Broad Use
      Carrie Klein, Jaime Lester, Huzefa Rangwala, and Aditya Johri
      Chapter 11. Using Data Analytics to Support Institutional Financial and Operational Efficiency
      Lindsay K. Wayt, Susan M. Menditto, J. Michael Gower, and Charles Tegen

      Part IV. Concluding Comments
      Chapter 12. Data-Informed Decision Making and the Pursuit of Analytics Maturity in Higher Education
      Karen L. Webber and Henry Y. Zheng

      Contributors
      Index

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