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6 - Putting It All Together: Cognitive Models to Inform the Design and Development of Large-Scale Educational Assessment

Published online by Cambridge University Press:  05 June 2012

Jacqueline P. Leighton
Affiliation:
University of Alberta
Mark J. Gierl
Affiliation:
University of Alberta
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Summary

In this penultimate chapter, we summarize our impetus for identifying and evaluating diagrammatic cognitive models in reading, science, and mathematics and offer some conclusions about where we go from here. Borrowing the definition from Leighton and Gierl (2007a), a cognitive model was defined as a “simplified description of human problem solving on standardized educational tasks, which helps to characterize the knowledge and skills students at different levels of learning have acquired and to facilitate the explanation and prediction of students' performance” (p. 6). In Chapter 1, we indicated that large-scale educational tests, redesigned and redeveloped from cognitive models in the learning sciences, may offer enhanced information (test-based inferences) about student problem solving and thinking. This enhanced information may help remediate the relatively low test performance of many students, including U.S. students, who are struggling to learn and demonstrate knowledge in core domains. In Chapter 1, we also presented accepted knowledge and principles from the learning sciences about the nature of thinking, learning, and performance to set the stage for what may be required for redesigning and redeveloping large-scale assessments. Illustrative empirical studies in the field of educational measurement were described to demonstrate attempts at redesigning and redeveloping educational assessments based on the learning sciences. Chapters 2, 3, 4, and 5 presented our criteria for evaluating cognitive models and also offered examples of diagrammatic cognitive models in reading, science, and mathematics that have garnered substantial empirical support.

Type
Chapter
Information
The Learning Sciences in Educational Assessment
The Role of Cognitive Models
, pp. 197 - 233
Publisher: Cambridge University Press
Print publication year: 2011

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