Design and Discovery in Educational Assessment: Evidence-Centered Design, Psychometrics, and Educational Data Mining

"Evidence-centered design" (ECD) is a comprehensive framework for describing the conceptual, computational and inferential elements of educational assessment. It emphasizes the importance of articulating inferences one wants to make and the evidence needed to support those inferences. At f...

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Bibliographic Details
Published inJournal of educational data mining Vol. 4; no. 1; pp. 11 - 48
Main Authors Mislevy, Robert J, Behrens, John T, Dicerbo, Kristen E, Levy, Roy
Format Journal Article
LanguageEnglish
Published International Working Group on Educational Data Mining 2012
Subjects
Blended Learning
Computer Assisted Testing
Computer Games
Computer Networks
Computer Simulation
Data Analysis
Data Processing
Educational Assessment
Evidence
Information Technology
Item Response Theory
Pattern Recognition
Program Design
Program Implementation
Psychometrics
Technological Advancement
Technology Uses in Education
Video Games
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ISSN2157-2100
2157-2100

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Summary:"Evidence-centered design" (ECD) is a comprehensive framework for describing the conceptual, computational and inferential elements of educational assessment. It emphasizes the importance of articulating inferences one wants to make and the evidence needed to support those inferences. At first blush, ECD and "educational data mining" (EDM) might seem in conflict: structuring situations to evoke particular kinds of evidence, versus discovering meaningful patterns in available data. However, a dialectic between the two stances increases understanding and improves practice. We first introduce ECD and relate its elements to the broad range of digital inputs relevant to modern assessment. We then discuss the relation between EDM and psychometric activities in educational assessment. We illustrate points with examples from the "Cisco Networking Academy", a global program in which information technology is taught through a blended program of face-to-face classroom instruction, an online curriculum, and online assessments.
ISSN:2157-2100
2157-2100