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…

The grading process involves two sides: students and faculty. Student effort is weakly related to the grades. This merits an inquiry into the grading process from the side of faculty. One way to examine that process is through the "three P" model of faculty grading orientations (FGOs), where faculty can employ a personal disposition…

Information communication technologies (ICT) in education is an expanding field, and within this field there is a need for development of effective systems for faculty and learners to communicate feedback and assess performance. The increasing migration of many academic disciplines and courses to an online format has prompted an increased need for…

Although classroom assessment is one of the most frequent practices carried out by teachers in all educational programs, limited research has been conducted to investigate the dependability and validity of criterion-referenced tests (CRTs). The main purpose of this study is to develop a criterion-referenced test for first-year Japanese university…