Campus Units

Office of the Vice President for Research

Document Type

Book Chapter

Publication Version

Accepted Manuscript

Publication Date

8-6-2018

Journal Title

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

Volume

8

Pages or Article Number

160-186

DOI

10.4324/9780203731864

Abstract

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.

Comments

This accepted book chapter is published as Pistilli, M. D. (2018). Data, data everywhere: Implications & Considerations. In J. Lester, C. Klein, A. Johri, & H. Rangwala (Eds.), Learning analytics in higher education: Current innovations, future potential, and practical applications. Chapter 8 (pp. 160-186). New York: Routledge. Doi: 10.4324/9780203731864. Posted with permission.

Access

Embargoed

Copyright Owner

Routledge Taylor & Francis Group

Language

en

File Format

application/pdf

Available for download on Tuesday, August 06, 2019

Published Version

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