Exploratory Data Analysis in Schools: A Logic Model to Guide Implementation

International Journal of Education Policy and Leadership

View Publication Info
 
 
Field Value
 
Title Exploratory Data Analysis in Schools: A Logic Model to Guide Implementation
 
Creator Courtney, Matthew B.
 
Subject leadesrhip
data
data analysis
decision making
data use
data-driven decision-making
 
Description Exploratory data analysis (EDA) is an iterative, open-ended data analysis procedure that allows practitioners to examine data without pre-conceived notions to advise improvement processes and make informed decisions. Education is a data-rich field that is primed for a transition into a deeper, more purposeful use of data. This article introduces the concept of EDA as a necessary structure to be embedded in school activities by situating it within the literature related to data-driven decision making, continuous school improvement systems, and action research methodologies. It also provides a succinct six-part framework to guide practitioners in establishing EDA procedures.
 
Publisher IJEPL is a joint publication of PDK International, SFU and UDel
 
Date 2021-05-24
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Literature Review
 
Format application/pdf
 
Identifier https://journals.sfu.ca/ijepl/index.php/ijepl/article/view/1041
10.22230/ijepl.2021v17n4a1041
 
Source International Journal of Education Policy and Leadership; Vol. 17 No. 4 (2021): Exploratory Data Analysis in Schools: A Logic Model to Guide Implementation; 14 pp
1555-5062
 
Language eng
 
Relation https://journals.sfu.ca/ijepl/index.php/ijepl/article/view/1041/291
 
Rights Copyright (c) 2021 Matthew B. Courtney
http://creativecommons.org/licenses/by-sa/4.0
 

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