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|a Learning analytics in higher education :
|b current innovations, future potential, and practical applications /
|c by Jaime Lester, Carrie Klein, Aditya Johri and Huzefa Rangwala.
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| 260 |
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|a New York :
|b Routledge,
|c 2018
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| 263 |
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|a 1808
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| 300 |
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|a xv, 199 pages :
|b illustrations ;
|c 23 cm
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| 504 |
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|a Includes bibliographical references.
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| 505 |
0 |
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|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.
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|a Academic achievement
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|9 30307
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| 650 |
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|a Education, Higher
|x Evaluation.
|9 30308
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| 650 |
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|a Educational evaluation
|x Data processing.
|9 30309
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| 650 |
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|a Data mining.
|9 30310
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| 650 |
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0 |
|a Universities and colleges
|x Research.
|9 30311
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| 700 |
1 |
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|a Lester, Jaime
|9 30312
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| 852 |
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|a Ayesha Abed Library
|c General Stacks
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