A critical issue in using fine-grained gameplay data to measure learning processes is the development of indicators and the algorithms used to derive such indicators. Successful development--that is, developing traceable, interpretable, and sensitive-to-learning indicators--requires understanding the underlying theory, how the theory is…

As the standards movement continues into its third decade, there remains a need for alignment methodologies that can be broadly applied to study instruction and policy. This article reports on a series of development efforts meant to revise the Surveys of Enacted Curriculum (SEC) surveys and methods to study the implementation of new college- and…

When validating assessment models built with data mining, generalization is typically tested at the student-level, where models are tested on new students. This approach, though, may fail to find cases where model performance suffers if other aspects of those cases relevant to prediction are not well represented. We explore this here by testing if…