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 eBooks
• 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 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

Contributor Bios