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Educational Assessments for Learning: Review, Application, and Methodological Innovation
Mon, April 12, 4:30 to 5:30pm EDT (4:30 to 5:30pm EDT), SIG Sessions, SIG-Cognition and Assessment Roundtable SessionsSession Type: Roundtable Session
Abstract
This roundtable session consists of three articles focusing on psychometric methods for educational assessments that are designed for learning. One article systematically reviewed the learning progression-based assessments. The second article analyzed a game-based assessment using the Bayesian network and the last article proposed a new person-fit method for cognitive diagnosis models.
Sub Unit
Chair
Papers
Using Learning Progression–Based Assessments: A Systematic Review of the Last Decade of Research - Claire M. Wyatt-Smith, Australian Catholic University; Lois Ruth Harris, Australian Catholic University; Lenore Adie, Australian Catholic University
Reliability and Validity of Physics Playground - Russell Almond, Florida State University; Jiawei Li, Florida State University; Zhichun Liu, University of Hong Kong; Seyedahmad Rahimi, University of Florida; Seyfullah Tingir, Florida State University; Chen Sun, Florida State University – Tallahassee
A New Person-Fit Method Based on Machine Learning in Cognitive Diagnosis Models - Zhemin Zhu, Beihua University; Hua-Hua Chang, Purdue University