Open Access. Powered by Scholars. Published by Universities.®
Science and Mathematics Education Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Discipline
Articles 1 - 4 of 4
Full-Text Articles in Science and Mathematics Education
Development And Validation Of The Value-Expectancy Stem Assessment Scale For Students In Higher Education, Joseph Appianing, Richard Van Eck
Development And Validation Of The Value-Expectancy Stem Assessment Scale For Students In Higher Education, Joseph Appianing, Richard Van Eck
Teaching, Leadership & Professional Practice Faculty Publications
Background: Science, technology, engineering, and math (STEM) jobs are expected to make up a significant portion of the U.S. workforce. Unfortunately, the trend in retaining students in STEM majors has been going down. If higher education institutions are going to retain more students in STEM majors, it will be important to understand who leaves STEM fields and why. More than 32% of women college students who declare a STEM major are likely to switch to non-STEM majors before they graduate, whereas only 25% of their male counterparts do so, and women may be as much as 1.5 times more likely …
Motivational Decline And Recovery In Higher Education Stem Courses, Anna M. Young, Paul J. Wendel, Joan M. Esson, Kathryn M. Plank
Motivational Decline And Recovery In Higher Education Stem Courses, Anna M. Young, Paul J. Wendel, Joan M. Esson, Kathryn M. Plank
Education Faculty Scholarship & Creative Works
Decline in student motivation is a concern for STEM education, especially for underrepresented groups in the sciences. Using the Science Motivation Questionnaire II, 41 foundational STEM courses were surveyed at the beginning and end of each semester in an academic year at a small primarily undergraduate university. Significant pre- to post-semester declines were observed in each of five measured motivational factors (Intrinsic motivation, Career motivation, Self determination, Self-efficacy, and Grade motivation), with effect sizes ranging from 0.21 to 0.41. However, in the second semester pre-survey, four motivational factors rebounded, including three returning to initial levels, suggesting that the observed motivational …
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 …