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Direct linkStarr, Christine R.; Anderson, Barrett R.; Green, Katherine A. – Journal of Science Education and Technology, 2019
Women are less likely to choose physical Science, Technology, Engineering, and Math (pSTEM) majors, partly because a lack of role models makes it hard for women to imagine themselves as successful in those fields. Possible self-interventions can help people imagine themselves having a successful future. Using social cognitive theory and…
Descriptors: Females, Undergraduate Students, STEM Education, Social Cognition
McCarthy, Elizabeth M.; Liu, Ying; Schauer, Karen L. – Journal of Research on Technology in Education, 2020
This study describes a strengths-based blended personalized learning model, the implementation of the model over a 4-year period, and the results of an impact study focused on measuring its effectiveness. The model includes many commonly-used features of personalized learning, including (a) competency-based progressions, (b) flexible learning…
Descriptors: Blended Learning, Computer Simulation, Independent Study, Language Usage
