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On Instructional Utility, Statistical Methodology, and the Added Value of ECD: Lessons Learned from the Special Issue

Authors: Nelson, Brian; Nugent, Rebecca; Rupp, Andre A.;

On Instructional Utility, Statistical Methodology, and the Added Value of ECD: Lessons Learned from the Special Issue

Abstract

This special issue of JEDM was dedicated to bridging work done in the disciplines of educational and psychological assessment and educational data mining (EDM) via the assessment design and implementation framework of evidence-centered design (ECD). It consisted of a series of five papers: one conceptual paper on ECD, three applied case studies that use ECD and EDM tools, and one simulation study that relies on ECD for its design and EDM for its implementation. In this reflection piece we discuss some of the key lessons that we have learned from the articles in this special issue with respect to the instructional utility of the digital learning environments, the nature of the statistical methodologies used, and the added value of the ECD framework for the work conducted in these projects.

The file is in PDF format. If your computer does not recognize it, simply download the file and then open it with your browser.

Keywords

psychometrics, educational data mining, digital learning environments, statistical methods, special issue, instructional utility

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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