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E-book
Author Lester, Jaime

Title Learning Analytics in Higher Education : Current Innovations, Future Potential, and Practical Applications
Published Milton : Routledge, 2018

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Description 1 online resource (217 pages)
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
Summary 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. Well-known contributors provide empirical, theoretical, and practical perspectives on the current use and future potential of learning analytics for student learning and data-driven decision-making, ways to effectively evaluate and research learning analytics, integration of learning analytics into practice, organizational barriers and opportunities for harnessing Big Data to create and support use of these tools, and ethical considerations related to privacy and consent. Designed to give readers a practical and theoretical foundation in learning analytics and how data can support student success in higher education, this book is a valuable resource for scholars and administrators
Bibliography Includes bibliographical references
Notes Print version record
Subject Education, Higher -- Research.
Big data.
advising.
Current Innovations, Future Potential, and Practical Applications.
computer science.
course design.
course development.
Data.
data mining.
data revolution.
data-informed decision making.
educational big data.
educational tool technologies.
engineering education.
higher education.
information technology.
institutional accountability.
institutional data.
Jaime Lester.
Learning Analytics in Higher Education.
Learning analytics.
learning management systems.
Nested Structuration.
organizational practices.
pedagogy.
professional development.
responsive feedback.
strategic planning.
student data.
student learning.
student retention.
student-focused learning model.
teaching and learning.
teaching pedagogy.
Big data
Education, Higher -- Research
Form Electronic book
Author Klein, Carrie
Johri, Aditya
Rangwala, Huzefa
ISBN 9781351400527
1351400525
9781351400534
1351400533
9781351400510
1351400517
9780203731864
0203731867
1138302139
9781138302136
1138302171
9781138302174