Learning Analytics in Higher Education

Current Innovations, Future Potential, and Practical Applications

By: Jaime Lester (Editor), Carrie Klein (Editor), Aditya Johri (Editor)

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Hardcover | 30 July 2018 | Edition Number 1

At a Glance

Hardcover
218 Pages

Dimensions(cm)
22.86 x 15.24 x 1.42

Hardcover

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Learning analytics-informed systems have the potential to generate new insight into courses and student learning by creating responsive feedback mechanisms that can shape data-informed decision making as it relates to teaching, learning and advising. The rise of the power of new algorithms has created a marketplace with little empirical guidance for higher education administrators who are selecting among a variety of new, and often expensive, tools. This book will provide a better understanding of the availability of learning analytics tools; how to critically evaluate their methodologies; how to integrate these tools into student advising practice; and how to use these tools and their data into organizational decision-making. Chapters will explore the current use and future potential of learning analytics for student learning; ways to effectively evaluate and research learning analytics; integration of learning analytics in practice for advisors, students, and faculty; organizational barriers and opportunities for harnessing big data to create and support usage of these tools; organizational decision-making; and, ethical and legal issues in algorithmic development and privacy. Designed to give readers a practical and theoretical foundation in learning analytics in higher education, this book will serve as a valuable resource for scholars and administrators everywhere.

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