Automated Scoring of Complex Tasks in Computer-Based Testing

David M. Williamson, Robert J. Mislevy, Isaac I. Bejar

This is the first volume to provide the latest methods and examples of "best practices" in the design, implementation, and evaluation of automated scoring for complex assessments. The contributing authors, all noted leaders in the field, introduce each m

Contents: Preface. D.M. Williamson, I.I. Bejar, R.J. Mislevy, Automated Scoring of Complex Tasks in Computer-Based Testing: An Introduction. R.J. Mislevy, L.S. Steinberg, R.G. Almond, J.F. Lukas, Concepts, Terminology, and Basic Models of Evidence-Centered Design. I.I. Bejar, D.M. Williamson, R.J. Mislevy, Human Scoring. H. Braun, I.I. Bejar, D.M. Williamson, Rule-Based Methods for Automated Scoring: Application in a Licensing Context. M.J. Margolis, B.E. Clauser, A Regression-Based Procedure for Automated Scoring of a Complex Medical Performance Assessment. H. Wainer, L.M. Brown, E.T. Bradlow, X. Wang, W.P. Skorupski, J. Boulet, R.J. Mislevy, An Application of Testlet Response Theory in the Scoring of a Complex Certification Exam. D.M. Williamson, R.G. Almond, R.J. Mislevy, R. Levy, An Application of Bayesian Networks in Automated Scoring of Computerized Simulation Tasks. R.H. Stevens, A. Casillas, Artificial Neural Networks. P. Deane, Strategies for Evidence Identification Through Linguistic Assessment of Textual Responses. K. Scalise, M. Wilson, Analysis and Comparison of Automated Scoring Approaches: Addressing Evidence-Based Assessment Principles. R.E. Bennett, Moving the Field Forward: Some Thoughts on Validity and Automated Scoring.