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Factors Predicting the Extent to which STEM Students Value Cross-Disciplinary Skills: A Study across Four
Lindsay B Wheeler1, Katerina V Thompson2, Gili Marbach-Ad2
1Center for Teaching Excellence, University of Virginia, Charlottesville, VA 22904.
Student values in science, technology, engineering, and mathematics (STEM) are influenced by their experiences and backgrounds. Understanding these factors can help tailor educational approaches to enhance motivation and learning in STEM fields.
Area of Science:
- Educational Psychology
- STEM Education
Background:
- Expectancy-value theory (EVT) posits that student motivation is driven by the perceived value of learning and the expectation of success.
- Student values and motivation are influenced by individual characteristics, including experiences, sociodemographics, and disciplinary norms.
Purpose of the Study:
- To investigate the relationship between STEM student characteristics and their values regarding cross-disciplinary skills.
- To determine how classroom experiences, discipline, research participation, and sociodemographics correlate with student values.
Main Methods:
- Surveyed 1162 graduating STEM students across four universities using the Survey of Teaching Beliefs and Practices for Undergraduates (STEP-U).
- Utilized Likert-scale questions to assess student values of 27 cross-disciplinary skills and frequency of 27 instructional methods.
- Employed Exploratory Factor Analyses (EFA) and multiple regression for data analysis.
Main Results:
- Identified significant associations between student values and classroom experiences, STEM discipline, undergraduate research participation, and sociodemographic factors.
- Factor analyses revealed clear structures for perceived skill value and instructional method frequency.
- Findings were consistent across different institutions and STEM disciplines.
Conclusions:
- Student values in STEM are demonstrably linked to their academic and personal contexts.
- The study provides theoretical (EVT), methodological (EFA), and practical insights for STEM education.
- Results suggest avenues for future research on optimizing student motivation and value formation in STEM.
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