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A. Corinne Huggins-Manley; Brandon M. Booth; Sidney K. D'Mello – Journal of Educational Measurement, 2022
The field of educational measurement places validity and fairness as central concepts of assessment quality. Prior research has proposed embedding fairness arguments within argument-based validity processes, particularly when fairness is conceived as comparability in assessment properties across groups. However, we argue that a more flexible…
Descriptors: Educational Assessment, Persuasive Discourse, Validity, Artificial Intelligence
Dorsey, David W.; Michaels, Hillary R. – Journal of Educational Measurement, 2022
We have dramatically advanced our ability to create rich, complex, and effective assessments across a range of uses through technology advancement. Artificial Intelligence (AI) enabled assessments represent one such area of advancement--one that has captured our collective interest and imagination. Scientists and practitioners within the domains…
Descriptors: Validity, Ethics, Artificial Intelligence, Evaluation Methods
Peer reviewedWilliamson, David M.; Bejar, Isaac I.; Hone, Anne S. – Journal of Educational Measurement, 1999
Contrasts "mental models" used by automated scoring for the simulation division of the computerized Architect Registration Examination with those used by experienced human graders for 3,613 candidate solutions. Discusses differences in the models used and the potential of automated scoring to enhance the validity evidence of scores. (SLD)
Descriptors: Architects, Comparative Analysis, Computer Assisted Testing, Judges
Peer reviewedWang, Tianyou; Kolen, Michael J. – Journal of Educational Measurement, 2001
Reviews research literature on comparability issues in computerized adaptive testing (CAT) and synthesizes issues specific to comparability and test security. Develops a framework for evaluating comparability that contains three categories of criteria: (1) validity; (2) psychometric property/reliability; and (3) statistical assumption/test…
Descriptors: Adaptive Testing, Comparative Analysis, Computer Assisted Testing, Criteria
Peer reviewedBennett, Randy Elliot; Rock, Donald A. – Journal of Educational Measurement, 1995
Examined the generalizability and validity and examinee perceptions of a computer-delivered version of 8 formulating-hypotheses tasks administered to 192 graduate students. Results support previous research that has suggested that formulating-hypotheses items can broaden the abilities measured by graduate admissions measures. (SLD)
Descriptors: Admission (School), College Entrance Examinations, Computer Assisted Testing, Generalizability Theory
Peer reviewedTatsuoka, Kikumi K.; Tatsuoka, Maurice M. – Journal of Educational Measurement, 1997
Results of studies involving 478 junior high school students in two years using cognitive diagnoses done through computerized adaptive testing indicate that knowing students' knowledge states before remediation is effective, and that the rule-space method can diagnose these knowledge states effectively. (SLD)
Descriptors: Adaptive Testing, Cognitive Tests, Computer Assisted Testing, Diagnostic Tests

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