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010 a| 2018013484;

020 a| 9781138302136 (Hardback);

020 a| 9781138302174 (Paperback);

020 z| 9780203731864 (eBook);

020 z| 9781351400534 (Web PDF);

020 z| 9781351400527 (ePub);

020 z| 9781351400510 (Mobi/Kindle);

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049 a| EREEa| NEHH;

050 00 a| LB2331.72b| .L42 2018;

082 00 a| 3782| 23;

245 00 a| Learning analytics in higher educationh| [electronic resource] :b| current innovations, future potential, and practical applications /c| by Jaime Lester, Carrie Klein, Aditya Johri and Huzefa Rangwala.;

260 a| New York :b| Routledge,c| 2018.;

263 a| 1808;

300 a| pages cm;

504 a| Includes bibliographical references.;

505 0 a| 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.;

506 a| Available only to authorized users.;

538 a| Mode of access: World Wide Web;

650 0 a| Academic achievementx| Evaluation.=| ^A8828;

650 0 a| Education, Higherx| Evaluation.=| ^A239346;

650 0 a| Educational evaluationx| Data processing.=| ^A195382;

650 0 a| Data mining.=| ^A408868;

650 0 a| Universities and collegesx| Research.=| ^A1066323;

655 0 a| Electronic books.=| ^A491897;

700 1 a| Lester, Jaime.=| ^A796304;

856 40 z| Full text available from Taylor & Francis eBooksu| https://go.openathens.net/redirector/ecu.edu?url=https%3A%2F%2Fwww.taylorfrancis.com%2Fbooks%2F9780203731864;

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999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6674297-1001l| JNETm| JOYNERr| Ys| Yt| JNESSBKu| 12/19/2025x| EBOOKz| JERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6674297-2001l| HSLELECm| HSLr| Ys| Yt| HEBKu| 12/19/2025x| EBOOKz| HERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6674297-3001l| MNETm| JMUSICr| Ys| Yt| MNESSBKu| 12/19/2025x| EBOOKz| JERESOURCE;

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

Other author	Lester, Jaime.
Format	Electronic
Publication Info	New York : Routledge, 2018.
Description	pages cm
Supplemental Content	Full text available from Taylor & Francis eBooks
Subjects	Academic achievement--Evaluation. Education, Higher--Evaluation. Educational evaluation--Data processing. Data mining. Universities and colleges--Research.

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.
Bibliography note	Includes bibliographical references.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2018013484
ISBN	9781138302136 (Hardback)
ISBN	9781138302174 (Paperback)

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

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