Large-scale assessments play a key role in education: educators and stakeholders need to know what students know and can do, so that they can be prepared for education policies and interventions in teaching and learning. However, a score from the assessment may not be enough--educators need to know why students got low scores, how students engaged…

Automatic machine learning (AutoML) methods automate the time-consuming, feature-engineering process so that researchers produce accurate student models more quickly and easily. In this paper, we compare two AutoML feature engineering methods in the context of the National Assessment of Educational Progress (NAEP) data mining competition. The…

Some results are presented relating to the dimensionality of the 1990 National Assessment of Educational Progress (NAEP) mathematics item-response data. Based on theoretical considerations, practical limitations, and previous research, two procedures were selected for study: full information factor analysis as implemented in the TESTFACT computer…