Asia Pacific University Library catalogue


Learning analytics in higher education : current innovations, future potential, and practical applications / by Jaime Lester, Carrie Klein, Aditya Johri and Huzefa Rangwala.

Contributor(s): Lester, Jaime [editor.] | Klein, Carrie [editor.] | Johri, Aditya [editor. ] | Rangwala, Hezefa [editor. ]Material type: TextTextPublisher: New York : Routledge, ©2018Description: xv, 199 pages : text ; 23 cmISBN: 9781138302174 (paperback)Subject(s): Academic achievement -- Evaluation | Education, Higher -- Evaluation | Educational evaluation -- Data processing | Data mining | Universities and colleges -- ResearchDDC classification: 378 LOC classification: LB2331.72 | .L42 2018 c.1
Contents:
-- 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.
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Open Shelf 		Book LB2331.72 .L42 2018 c.1 (Browse shelf (Opens below)) 1 Available 00013189

Includes bibliographical references.

-- 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.

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