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Briggs, Derek C.; Circi, Ruhan – International Journal of Testing, 2017
Artificial Neural Networks (ANNs) have been proposed as a promising approach for the classification of students into different levels of a psychological attribute hierarchy. Unfortunately, because such classifications typically rely upon internally produced item response patterns that have not been externally validated, the instability of ANN…
Descriptors: Artificial Intelligence, Classification, Student Evaluation, Tests
Center for Mental Health in Schools at UCLA, 2011
This brief (1) defines indicators, (2) places the concept into the context of the various ways indicators can be used in education, (3) explores some specific considerations and concerns that arise in evaluating results, (4) offers a categorization and examples of short-term outcome indicators for school use, and (5) stresses the need for policy…
Descriptors: Educational Policy, Educational Indicators, Evaluation Methods, Educational Assessment