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Zhan, Peida – Educational Measurement: Issues and Practice, 2021
Refined tracking allows students and teachers to more accurately understand students' learning growth. To provide refined learning tracking with longitudinal diagnostic assessment, this article proposed a new model by incorporating probabilistic logic into longitudinal diagnostic modeling. Specifically, probabilistic attributes were used instead…
Descriptors: Educational Diagnosis, Learning Processes, Models, Student Evaluation
Xiong, Jiawei; Li, Feiming – Educational Measurement: Issues and Practice, 2023
Multidimensional scoring evaluates each constructed-response answer from more than one rating dimension and/or trait such as lexicon, organization, and supporting ideas instead of only one holistic score, to help students distinguish between various dimensions of writing quality. In this work, we present a bilevel learning model for combining two…
Descriptors: Scoring, Models, Task Analysis, Learning Processes
Zhan, Peida; He, Keren – Educational Measurement: Issues and Practice, 2021
In learning diagnostic assessments, the attribute hierarchy specifies a sequential network of interrelated attribute mastery processes, which makes a test blueprint consistent with the cognitive theory. One of the most important functions of attribute hierarchy is to guide or limit the developmental direction of students and then form a…
Descriptors: Longitudinal Studies, Models, Comparative Analysis, Diagnostic Tests
Gordon, Edmund W. – Educational Measurement: Issues and Practice, 2020
Drawing upon his experience, more than 60 years ago, as a psychometric support person to a very special teacher of brain damaged children, the author of this article reflects on the productive use of educational assessments and data from them to educate - assessment in the service of learning. Findings from the Gordon Commission on the Future of…
Descriptors: Psychometrics, Student Evaluation, Special Education Teachers, Educational Assessment