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Science and Mathematics Education Commons™
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Full-Text Articles in Science and Mathematics Education
Repairing The Leaky Pipeline: A Motivationally Supportive Intervention To Enhance Persistence In Undergraduate Science Pathways, Lisa Linnenbrink-Garcia, Tony Perez, Michael M. Barger, Stephanie V. Wormington, Elizabeth Godin, Kate E. Snyder, Kristy Robinson, Abdhi Sakar, Laura S. Richman, Rochelle Schwartz-Bloom
Repairing The Leaky Pipeline: A Motivationally Supportive Intervention To Enhance Persistence In Undergraduate Science Pathways, Lisa Linnenbrink-Garcia, Tony Perez, Michael M. Barger, Stephanie V. Wormington, Elizabeth Godin, Kate E. Snyder, Kristy Robinson, Abdhi Sakar, Laura S. Richman, Rochelle Schwartz-Bloom
STEMPS Faculty Publications
The current study reports on the efficacy of a multi-faceted motivationally designed undergraduate enrichment summer program for supporting science, technology, engineering and math (STEM) persistence. Structural equation modeling was used to compare summer program participants (n = 186), who participated in the program between their first and second years in college, to a propensity score matched comparison sample (n = 401). Participation in the summer program positively predicted science motivation (self-efficacy, task value), assessed eight months after the end of the program (second year in college). The summer enrichment program was also beneficial for science persistence variables, as …
Motivation As A Complex System: Semester-Long Recursive Dynamics Of Expectancy-Value Constructs In Undergraduate Biology, Avi Kaplan, Xi Hang Cao, Ting Dai, Zoran Obradovic, Tony Perez, Jennifer G. Cromley, Kyle Mara, Michael J. Balsai
Motivation As A Complex System: Semester-Long Recursive Dynamics Of Expectancy-Value Constructs In Undergraduate Biology, Avi Kaplan, Xi Hang Cao, Ting Dai, Zoran Obradovic, Tony Perez, Jennifer G. Cromley, Kyle Mara, Michael J. Balsai
STEMPS Faculty Publications
The predominant aggregate-statistical analyses in motivational research manifest assumptions that stand in tension with understandings of motivational phenomena as dynamic, contextual, and variable among individuals. Using constructs from expectancy-value theory, we collected 13 weekly waves of data from 145 undergraduate students during one semester of an introductory biology course. We analyzed the data using dynamic autoregressive mixed-effects modeling, which captures the individual-level recursive processes among constructs, and then examined patterns across individuals’ motivational trajectories to discern general principles by which the expectancy-value system operates. The findings contribute to robust theoretical understandings of expectancy-value processes, and demonstrate the application of an …