Learning analytics in higher education : current innovations, future potential, and practical applications /

Bibliografiset tiedot
Muut tekijät:	Lester, Jaime
Aineistotyyppi:	Kirja
Kieli:	English
Julkaistu:	New York : Routledge, 2018
Aiheet:	Academic achievement > Evaluation. Education, Higher > Evaluation. Educational evaluation > Data processing. Data mining. Universities and colleges > Research.
Classic Catalogue:	View this record in Classic Catalogue

Sisällysluettelo:

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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