Document Type

Book Chapter

Publication Date

2019

Publication Title

Responsible Analytics and Data Mining in Education: Global Perspectives on Quality, Support, and Decision Making

Pages

101-118

Abstract

In the last decade, we have seen dramatic increases in the integration of technology within education. It has now become commonplace for K-5 educators to apply learning management systems (LMS) in ways that were previously only seen in higher education contexts. Similarly, on the higher education side, we are seeing a significant increase in online learning evidenced by the growing number of for-profit online colleges and universities (Picciano, 2012). This chapter utilizes Khan’s Learning Framework (Khan, 2001, 2005) to explore the role data analytics can play in education by looking at the possibilities and limitations of analytics.

Comments

This is an original manuscript/preprint of an article published by Taylor & Francis in Responsible Analytics and Data Mining in Education: Global Perspectives on Quality, Support, and Decision Making in 2019, available online:

https://www.routledge.com/Responsible-Analytics-and-Data-Mining-in-Education-Global-Perspectives/Khan-Corbeil-Corbeil/p/book/9781138305908

Original Publication Citation

Moore, R. (2019). The role of data analytics in education: Possibilities & limitations. In B. H. Khan, J. R. Corbeil, & M. E. Corbeil (Eds.), Responsible Analytics and Data Mining in Education: Global Perspectives on Quality, Support, and Decision Making (pp. 101-118). New York: Routledge, Taylor & Francis Group.

ORCID

0000-0002-5645-9297 (Moore)

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