Learning Analytics in Higher Education - Current Innovations, Future Potential, and Practical Applications

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.

Sommario

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

Info autore

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.

Riassunto

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.

Dettagli sul prodotto

• Autori: Jaime Klein Lester
• Con la collaborazione di: Aditya Johri (Editore), Aditya (George Mason University Johri (Editore), Johri Aditya (Editore), Carrie Klein (Editore), Jaime Lester (Editore), Lester Jaime (Editore), Huzefa Rangwala (Editore), Rangwala Huzefa (Editore)
• Editore: Taylor & Francis Ltd.
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 31.08.2018
• EAN: 9781138302136
• ISBN: 978-1-138-30213-6
• Pagine: 200
• Categorie: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Tematiche generali, enciclopedie; Scienze umane, arte, musica > Pedagogia > Tematiche generali, enciclopedie; EDUCATION / General, computer science, Higher & further education, tertiary education, Information technology: general issues, Higher education, tertiary education, Information technology: general topics, Open learning, home learning, distance education, Open learning, distance education