Open AccessExploratory Data Analysis in Schools: A Logic Model to Guide Implementation
Author(s) -
Matthew B. Courtney
Publication year - 2021
Publication title -
international journal of education policy and leadership
Language(s) - English
Resource type - Journals
ISSN - 1555-5062
DOI - 10.22230/ijepl.2021v17n4a1041
Subject(s) - computer science , exploratory data analysis , field (mathematics) , logic model , data science , exploratory analysis , exploratory research , action (physics) , management science , data mining , engineering , sociology , mathematics , social science , physics , quantum mechanics , anthropology , pure mathematics
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.