In achievement testing we assume that students will demonstrate their maximum performance as they encounter test items. Sometimes, however, student performance can decline during a test event, which implies that the test score does not represent maximum performance. This study describes a method for identifying significant performance decline and…

This study examined the academic and affective profiles of gifted students who were classified under five prototypes, including low-income White students, low-income African American students, low-income other minority students, high nonverbal and low verbal students, and twice-exceptional students. A total of 37 vignettes were developed and…

The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…