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https://peer.asee.org/28741 Previous studies quantitatively and qualitatively measured and validated the constructs that make up math identity, physics identity and engineering identity (i.e., interest in the subject, recognition by others, and beliefs about one’s performance/competence) for predicting engineering choice. To answer the first research question, a Welch’s t-test was used to compare the averages of first-generation college students and non-first-generation college students on overall measures of mathematics, physics, and engineering identity as well as the constructs of interest, recognition, and performance/competence in each subject area. This t-test was selected because it corrects unequal variance within the two populations. To answer the second research question, we used multiple linear regression to predict the choices of STEM and non-stem majors using measures of identity, affective factors, and first-generation college student status. Results from the first analysis demonstrate that first-generation college students entered engineering with a high sense of engineering identity, particularly in the performance/competence and interest constructs. Regression results showed that first-generation college students’ physics identity positively predicted choice of a non-STEM career; that is, first-generation college students with high physics identity were more interested in non-STEM careers (e.g., non-profit/non-government organization and medicine/health). This work highlights that first-generation college students may have different career pathway intentions and motivations in studying engineering during college.
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Leveraging Learning Assistants to Support STEM Identity
Previous research on physics identity by Hazari et al. has shown that interest, recognition, and performance are three key factors in students’ development of a physics identity. Learning Assistants have potential to improve students’ experiences in STEM classrooms by increasing performance and recognition. In this poster, we will present preliminary results from the STEM Identity (STEM-PIO-4) and STEM Career Interest surveys for courses supported by Learning Assistants in order to evaluate the impact of Learning Assistants on STEM identity.
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- Award ID(s):
- 2247670
- PAR ID:
- 10532086
- Publisher / Repository:
- American Association of Physics Teachers
- Date Published:
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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Measures of subject-related role identities in physics and math have been developed from research on the underlying constructs of identity in science education. The items for these measures capture three constructs of identity: students’ interest in the subject, students’ feeling of recognition by others, and students’ beliefs about their performance/competence in the subject area. In prior studies with late secondary and early post-secondary students, participants did not distinguish between performance beliefs (e.g., believing that they can do well in a particular subject) and competence beliefs (e.g., believing that they can understand a particular subject); therefore, performance/competence beliefs are measured as a single construct. These validated measures have been successful in predicting STEM career choices including physics, math, and engineering. Based on these measures of identity, literature on engineering identity, and my prior work on understanding engineering choice and belongingness through students’ science and math identities at the transition from high school to college, I developed a set of new engineering identity measures that capture and overall identification as an engineer, future engineering career identification, and students’ engineering-related interest, recognition, and performance/competence beliefs. I conducted a pilot survey of 371 first-year engineering students at three institutions within the U.S. during the spring semester of 2015. An exploratory factor analysis (EFA) was performed to examine the underlying structure of the piloted questions about students’ engineering identity. The measures loaded on three separate constructs that were consistent with the hypothesized constructs of interest, performance/competence and recognition. The developed items were used in a subsequent study deployed in the fall semester of 2015 that measured more than 2500 first-year engineering students’ attitudes and beliefs at four institutions within the U.S. The data on engineering identity measures from this second survey were analyzed using confirmatory factor analysis (CFA). The results indicated that the developed measures do extract a significant portion of the average variance in the latent constructs and the internal consistency of the measures (Cronbach’s α) falls within the acceptable and better range. The development of these items provides ways for engineering education researchers to more deeply explore the underlying self-beliefs in students’ engineering identity formation through quantitative measures with strong evidence for validity.more » « less
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