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Hanauer, David I.; Graham, Mark J.; Hatfull, Graham F. – CBE - Life Sciences Education, 2016
Curricular changes that promote undergraduate persistence in science, technology, engineering, and mathematics (STEM) disciplines are likely associated with particular student psychological outcomes, and tools are needed that effectively assess these developments. Here, we describe the theoretical basis, psychometric properties, and predictive…
Descriptors: College Students, Academic Persistence, Psychometrics, Predictive Validity
Lindsey, Beth A.; Nagel, Megan L. – Physical Review Special Topics - Physics Education Research, 2015
We have conducted an investigation into how well students in introductory science classes (both physics and chemistry) are able to predict which questions they will or will not be able to answer correctly on an upcoming assessment. An examination of the data at the level of students' overall scores reveals results consistent with the…
Descriptors: Accuracy, Self Evaluation (Individuals), Metacognition, Prediction