Literaturnachweis - Detailanzeige
| Sonst. Personen | Lester, Jaime (Hrsg.) |
|---|---|
| Titel | Learning analytics in higher education. Current innovations, future potential, and practical applications. |
| Quelle | New York: Routledge (2018) |
| Beigaben | Literaturangaben |
| Sprache | englisch |
| Dokumenttyp | gedruckt; Monographie |
| ISBN | 9781138302136; 9781138302174; 9780203731864 (E-Book); 9781351400534; 9781351400527 (EPUB); 9781351400510 |
| Schlagwörter | Academic achievement; Evaluation; Education, Higher; Educational evaluation; Data processing; Data mining; Universities and colleges; Research; Hochschulbildung; Bildungstheorie; Bildungspraxis |
| Abstract | 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. |
| Erfasst von | Library of Congress, Washington, DC |
| Update | 2018/4/10 |
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