Learning analytics in higher education /

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Bibliographic Details
Imprint:San Francisco, CA : Jossey-Bass, 2017.
©2017
Description:1 online resource (113 pages)
Language:English
Series:New directions for higher education ; number 179
New directions for higher education ; no. 179.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11324879
Hidden Bibliographic Details
Other authors / contributors:Zilvinskis, John, editor.
Borden, Victor, editor.
ISBN:1119443822
9781119443827
Notes:"Fall 2017."
Includes bibliographical references and index.
Description based on online resource; title from PDF title page (Wiley InterScience Web site, viewed on September 8, 2017).
Other form:Print version: Learning Analytics in Higher Education. Jossey-Bass Inc Pub 2017 9781119443827
Table of Contents:
  • Editors' Notes
  • 1. An Overview of Learning Analytics
  • In this chapter, the authors define learning analytics while listing campus roles that can support these projects and considerations for implementation
  • 2. Incorporating Learning Analytics in the Classroom
  • The authors explore important considerations when using analytics to measure and improve student learning
  • 3. Learning Analytics Across a Statewide System
  • Some of the complex, yet common, organizational considerations when introducing learning analytics to a multicampus public university are described by the stakeholders charged with implementing them
  • 4. Learner Analytics and Student Success Interventions
  • The ways feedback can manifest in learning analytic systems and suggestions of ways to systemize the process of intervention are described by the authors of this chapter
  • 5. Cultivating Institutional Capacities for Learning Analytics
  • In this chapter, the authors list the innovative ways they have worked to establish a culture that fosters learning analytics at the University of Michigan
  • 6. Using Analytics to Nudge Student Responsibility for Learning
  • Students are an important, often overlooked, partner in learning analytics; in this chapter, the author describes how to nudge students toward success using data
  • 7. Ethics and Justice in Learning Analytics
  • The author of this chapter introduces ethical issues in learning analytics while presenting a framework for institutional practice
  • 8. Learning Analytics as a Counterpart to Surveys of Student Experience
  • Presented in this chapter is an examination of the intersections and differences between learning analytics and traditional student surveys
  • 9. Concluding Thoughts
  • The editors of this volume provide a summary of the broad findings presented by the chapter authors
  • Index