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Learning analytics in higher education : current innovations, future potential, and practical applications
- Available as
- Physical
Details
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- Creator
- by Jaime Lester, Carrie Klein, Aditya Johri and Huzefa Rangwala
- Format
- Books
- Language
- English
- Contributors
- Publication
-
- New York : Routledge, 2019
- Physical Details
-
- xv, 199 pages : illustrations ; 23 cm
- ISBNs
- 9781138302136, 1138302139, 9781138302174, 1138302171, 9780203731864, 9781351400534, 9781351400527, 9781351400510, 9781351400527
- OCLC
- on1060177810
- Includes bibliographical references and index.
- Chapter 1. Absorptive capacity and routines: Understanding barriers to learning analytics adoption in higher education / Aditya Johri -- Chapter 2. Analytics in the field: Why locally grown continuous improvement systems are essential for effective data driven decision-making / Matthew T. Hora -- Chapter 3. Big data, small data, and data shepherds / Jennifer DeBoer and Lori Breslow -- Chapter 4. Evaluating scholarly teaching: A model and call for an evidence-based approach / Daniel L. Reinholz, Joel C. Corbo, Daniel J. Bernstein, and Noah D. Finkelstein -- Chapter 5. Discipline-focused learning analytics approaches with users instead of for users / David B. Knight, Cory Brozina, Timothy J. Kinoshita, Brian J. Novoselich, Glenda D. Young, and Jacob R. Grohs -- Chapter 6. Student consent in learning analytics: The devil in the details? / Paul Prinsloo and Sharon Slade -- Chapter 7. Using learning analytics to improve student learning outcomes assessment in higher education: Potential, constraint, & possibility / Carrie Klein and Richard M. Hess -- Chapter 8. Data, data everywhere: Implications and considerations / Matthew D. Pistilli