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…

In high-stakes, large-scale, standardized tests with certain time limits, examinees are likely to engage in either one of the three types of behavior (e.g., van der Linden & Guo, 2008; Wang & Xu, 2015): solution behavior, rapid guessing behavior, and cheating behavior. Oftentimes examinees do not always solve all items due to various…

A recently developed model of validation (T. J. Crooks, M. T. Kane, and A. S. Cohen, 1996) is briefly outlined. It conceptualizes assessment as divided into a chain of eight linked stages: (1) administration; (2) scoring; (3) aggregation; (4) generalization; (5) extrapolation; (6) evaluation; (7) decision; and (8) impact. The model is then used to…

The conference theme was "The Promise and Perils of Educational Information Systems," defined as collections of test data on knowledges, skills, interests, and attitudes maintained for the purpose of educational decision making. Topics covered were: "Longer Education: Thinner, Broader, or Higher" (Fritz Machlup); "Testing:…