Learning Analytics in Higher Education (eBook, PDF)

Current Innovations, Future Potential, and Practical Applications
Redaktion: Lester, Jaime; Rangwala, Huzefa; Johri, Aditya; Klein, Carrie

• Format: PDF

Produktbeschreibung

Learning Analytics in Higher Education provides a foundational understanding of how learning analytics is defined, what barriers and opportunities exist, and how it can be used to improve practice, including strategic planning, course development, teaching pedagogy, and student assessment.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 216
• Erscheinungstermin: 6. August 2018
• Englisch
• ISBN-13: 9781351400534
• Artikelnr.: 55431741

Autorenporträt

Jaime Lester is Associate Professor of Higher Education at George Mason University, USA. Carrie Klein is a PhD Candidate and Research and Teaching Assistant in the Higher Education Program at George Mason University, USA. Aditya Johri is Associate Professor of Information Sciences and Technology at George Mason University, USA. Huzefa Rangwala is Associate Professor of Computer Science at George Mason. University, USA.

Inhaltsangabe

Contents
List of Tables
List of Figures
Preface
Acknowledgments
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 usersDavid 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
Contributor Bios