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…

Informal reading inventories (IRI) and curriculum-based measures of reading (CBM-R) have continued importance in instructional planning, but raters have exhibited difficulty in accurately identifying students' miscues. To identify and tabulate scorers' mismarkings, this study employed examiners and raters who scored 15,051 words from 108 passage…