Clustering, a prevalent class of machine learning (ML) algorithms used in data mining and pattern-finding--has increasingly helped engineering education researchers and educators see and understand assessment patterns at scale. However, a challenge remains to make ML-enabled educational inferences that are useful and reliable for research or…

Increasing numbers of states have incorporated measures of students' academic growth into their data and accountability policies. Measuring growth is a statistically complicated task and complex growth measures can be easy to misinterpret. This paper reports on a survey of 317 Massachusetts principals' understanding of the Student Growth…

We developed a criterion-referenced student rating of instruction (SRI) to facilitate formative assessment of teaching. It involves four dimensions of teaching quality that are grounded in current instructional design principles: Organization and structure, Assessment and feedback, Personal interactions, and Academic rigor. Using item response…

The GED[R] English as a Second Language (GED ESL) Test was designed to serve as an adjunct to the GED test battery when an examinee takes either the Spanish- or French-language version of the tests. The GED ESL Test is a criterion-referenced, multiple-choice instrument that assesses the functional, English reading skills of adults whose first…

The comparability of examinations in different subjects has been a controversial topic for many years and a number of criticisms have been made of statistical approaches to estimating the "difficulties" of achieving particular grades in different subjects. This paper argues that if comparability is understood in terms of a linking…