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Data Analytics and Decision-Making in Education: Towards the Educational Data Scientist as a Key Actor in Schools and Higher Education Institutions

Tommaso Agasisti; Alex J. Bowers

Title:
Data Analytics and Decision-Making in Education: Towards the Educational Data Scientist as a Key Actor in Schools and Higher Education Institutions
Author(s):
Agasisti, Tommaso
Bowers, Alex J.
Date:
Type:
Chapters (layout features)
Department(s):
Education Leadership
Persistent URL:
Book/Journal Title:
Handbook of Contemporary Education Economics
Book Author:
Johnes, G.
Notes:
This document is a pre-print of this manuscript, published in the Handbook of Contemporary Education Economics. Recommended Citation: Agasisti, T., Bowers, A.J. (2017) Data Analytics and Decision-Making in Education: Towards the Educational Data Scientist as a Key Actor in Schools and Higher Education Institutions. In Johnes, G., Johnes, J., Agasisti, T., López-Torres, L. (Eds.) Handbook of Contemporary Education Economics (p.184-210). Cheltenham, UK: Edward Elgar Publishing. ISBN: 978-1-78536-906-3 http://www.e-elgar.com/shop/handbook-of-contemporary-education-economics
Publisher:
Edward Elgar Publishing
Publisher Location:
Cheltenham, UK
Abstract:
In this chapter, we outline the importance of data usage for improving policy-making (at the system level), management of educational institutions and pedagogical approaches in the classroom. We illustrate how traditional data analyses are becoming gradually substituted by more sophisticated forms of analytics, and we provide a classification for these recent movements (in particular learning analytics, academic analytics and educational data mining). After having illustrated some examples of recent applications, we warn against potential risks of inadequate analytics in education, and list a number of barriers that impede the widespread application of better data use. As implications, we call for a development of a more robust professional role of data scientists applied to education, with the aim of sustaining and reinforcing a positive data-driven approach to decision making in the educational field. Keywords: Data analysis, learning analytics, data-driven decision making, educational management and policy, data scientist
Subject(s):
Decision making
Educational planning
Quantitative research
Item views
280
Metadata:
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Suggested Citation:
Tommaso Agasisti, Alex J. Bowers, , Data Analytics and Decision-Making in Education: Towards the Educational Data Scientist as a Key Actor in Schools and Higher Education Institutions, Columbia University Academic Commons, .

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