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Foot, Rachel; Crowe, Alicia, R.; Tollafield, Karen Andrus; Allan, Chad Everett – Teaching & Learning Inquiry, 2014
The doctoral journey is as much about identity transitions as it is about becoming an expert in a field of study. However, transitioning from past and professional lives and identities to scholarly identities is not an easy process. Three doctoral students at various stages of completion engaged in self-study research to explore their emerging…
Descriptors: Graduate Students, Doctoral Programs, Identification (Psychology), Self Evaluation (Individuals)
Paquette, Luc; Rowe, Jonathan; Baker, Ryan; Mott, Bradford; Lester, James; DeFalco, Jeanine; Brawner, Keith; Sottilare, Robert; Georgoulas, Vasiliki – International Educational Data Mining Society, 2016
Computational models that automatically detect learners' affective states are powerful tools for investigating the interplay of affect and learning. Over the past decade, affect detectors--which recognize learners' affective states at run-time using behavior logs and sensor data--have advanced substantially across a range of K-12 and postsecondary…
Descriptors: Models, Affective Behavior, Intelligent Tutoring Systems, Games
Masse, Louise C.; Eason, Karen E.; Tortolero, Susan R.; Kelder, Steven H. – Measurement in Physical Education and Exercise Science, 2005
This study assessed agreement between participants' rating (PMET) and compendium coding (CMET) of estimating physical activity intensity in a population of older minority women. As part of the Women on the Move study, 224 women completed a 7-day activity diary and wore an accelerometer for 7 days. All activities recorded were coded using PMET and…
Descriptors: Physical Activity Level, Comparative Analysis, Computation, Older Adults