title: Automatic item generation implemented for measuring artistic judgment aptitude.
abstract: Automatic item generation (AIG) is a broad class of methods that are being developed to address psychometric issues arising from internet and computer-based testing. In general, issues emphasize efficiency, validity, and diagnostic usefulness of large scale mental testing. Rapid prominence of AIG methods and their implicit perspective on mental testing is bringing painful scrutiny to many sacred psychometric assumptions. This report reviews basic AIG ideas, then presents conceptual foundations, image model development, and operational application to artistic judgment aptitude testing.
authors: 1524 E. 59th Street, A-1, Chicago, IL 60637, USA, nbezruczko@msn.com.
authors: Nikolaus
authors: N
authors: Bezruczko
mesh_terms: D000465:Algorithms; D001077:Aptitude Tests / Q000706:statistics & numerical data*; D001154:Art; D003198:Computer Simulation; D003194:Computer-Assisted Instruction / Q000706:statistics & numerical data*; D006801:Humans; D020407:Internet; D007600:Judgment; D010364:Pattern Recognition, Visual; D011594:Psychometrics / Q000706:statistics & numerical data*