Educational Improvement Through Data Mining and Analytics

Marcella Pietro (Editor)

Series: Education in a Competitive and Globalizing World
BISAC: COM021030



Volume 10

Issue 1

Volume 2

Volume 3

Special issue: Resilience in breaking the cycle of children’s environmental health disparities
Edited by I Leslie Rubin, Robert J Geller, Abby Mutic, Benjamin A Gitterman, Nathan Mutic, Wayne Garfinkel, Claire D Coles, Kurt Martinuzzi, and Joav Merrick


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This book describes data analytics and data mining in the commercial world and how similar techniques (learner analytics and educational data mining) are starting to be applied in education. The book examines the challenges being encountered and the potential of such efforts for improving student outcomes and the productivity of K–12 education systems. The goal is to help education policymakers and administrators understand how data mining and analytics work and how they can be applied within online learning systems to support education-related decision-making. (Imprint: Novinka )


Chapter 1 - Enhancing Teaching and Learning through Educational Data Mining and Learning Analytics: An Issue Brief (pp. 1-64)
Marie Bienkowski, Mingyu Feng and Barbara Means

Chapter 2 - Basic Concepts and Definitions for Privacy and Confidentiality in Student Education Records (pp. 65-84)
National Center for Educational Statistics


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