current innovations, future potential, and practical applications Lester, Jaime text bibliography nyu New York Routledge 2018 monographic eng

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xv, 199 pages : illustrations ; 23 cm 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. by Jaime Lester, Carrie Klein, Aditya Johri and Huzefa Rangwala. Includes bibliographical references. AAL Academic achievement Evaluation Education, Higher Evaluation Educational evaluation Data processing Data mining Universities and colleges Research LB2331.72 .L42 2018 378 9781138302174 (Paperback) 9781138302136 (Hardback) 2018013484 Ayesha Abed Library DLC 190321 20190321093548.0 34356 eng