Title: Engineering students’ attitudinal beliefs by gender and student division: a methodological comparison of changes over time
Abstract Background Students’ attitudinal beliefs related to how they see themselves in STEM have been a focal point of recent research, given their well-documented links to retention and persistence. These beliefs are most often assessed cross-sectionally, and as such, we lack a thorough understanding of how they may fluctuate over time. Using matched survey responses from undergraduate engineering students ( n = 278), we evaluate if, and to what extent, students’ engineering attitudinal beliefs (attainment value, utility value, self-efficacy, interest, and identity) change over a 1-year period. Further, we examine whether there are differences based on gender and student division, and then compare results between cross-sectional and longitudinal analyses to illustrate weaknesses in our current understanding of these constructs. Results Our study revealed inconsistencies between cross-sectional and longitudinal analyses of the same dataset. Cross-sectional analyses indicated a significant difference by student division for engineering utility value and engineering interest, but no significant differences by gender for any variable. However, longitudinal analyses revealed statistically significant decreases in engineering utility value, engineering self-efficacy, and engineering interest for lower division students and significant decreases in engineering attainment value for upper division students over a one-year period. Further, longitudinal analyses revealed a gender gap in engineering self-efficacy for upper division students, where men reported higher means than women. Conclusions Our analyses make several contributions. First, we explore attitudinal differences by student division not previously documented. Second, by comparing across methodologies, we illustrate that different conclusions can be drawn from the same data. Since the literature around these variables is largely cross-sectional, our understanding of students’ engineering attitudes is limited. Our longitudinal analyses show variation in engineering attitudinal beliefs that are obscured when data is only examined cross-sectionally. These analyses revealed an overall downward trend within students for all beliefs that changed significantly—losses which may foreshadow attrition out of engineering. These findings provide an opportunity to introduce targeted interventions to build engineering utility value, engineering self-efficacy, and engineering interest for student groups whose means were lower than average. more »« less
This study investigates career intentions and students’ engineering attitudes in BME, with a focus on gender differences. Data from n = 716 undergraduate biomedical engineering students at a large public research institution in the United States were analyzed using hierarchical agglomerative cluster analysis. Results revealed five clusters of intended post-graduation plans: Engineering Job and Graduate School, Any Job, Non-Engineering Job and Graduate School, Any Option, and Any Graduate School. Women were evenly distributed across clusters; there was no evidence of gendered career preferences. The main findings in regard to engineering attitudes reveal significant differences by cluster in interest, attainment value, utility value, and professional identity, but not in academic self-efficacy. Yet, within clusters the only gender differences were women’s lower engineering academic self-efficacy, interest and professional identity compared to men. Implications and areas of future research are discussed.
Nugent, G; Chen, K; Liu, D(
, Association for the Advancement of Computing in Education (AACE))
This research focused on documenting student computer science (CS) interest, value, and self-efficacy across K-8 grade levels. It also examined differences between various student subgroups. The research questions were: Are there differences in K-8 students’ ratings of CS interest, task value, and self-efficacy? How does interest, task value, and self-efficacy change across grades K-8? Are there differential effects depending on student gender, ethnicity, and locale (rural/urban)? Results showed a continuing decline in the three student outcomes across grades, mirroring the larger body of STEM research. Students’ perception of the value of computer science was significantly higher than their interest, which in turn was higher than their self-efficacy. This result suggests that student recognize the importance of CS and find it fun, but not easy. Moderation results showed no gender differences at the elementary level, but significantly higher middle school results for males on CS interest and self-efficacy. Ethnicity findings tended to favor majority (white) students, with the exception that grade 6 – 8 minority students had significantly higher interest ratings. Urban students had significantly higher results for all three outcomes at grades K-3 and 6 -8. The research extends research documenting the decrease of adolescent student STEM interest by focusing specifically on computer science and including results at the elementary level.
This work in progress paper describes the preliminary findings from the implementation of a graduate engineering student motivation survey with Civil and Environmental Engineering (CEE) doctoral students. In the doctoral process, two phases can be identified: pre-writing and writing. The first phase is generally where most of the coursework is taken, while the second phase is when the dissertation takes most of the time. These phases have been found to be of importance when seeking to address graduate students’ motivation because they present a transition between a more structured and guided process into an unstructured, self-directed, and isolated phase that is prescribed as challenging for students.
The graduate student motivation survey, derived from the Expectancy-Value Theory constructs (i.e., interest, attainment, utility, cost, and self-efficacy), was developed by the authors in a prior study. The constructs of interest/intrinsic (how fun and interesting is a task), attainment (personal/identity importance of a task), utility (usefulness for present or future goals), and cost (resources to be invested in a task) are values that individuals consider when selecting and taking actions; Whereas, the self-efficacy construct explores an individual’s beliefs about how well their performance will be on an upcoming task.
This motivation survey was distributed among 20 CEE doctoral students during the second week of the Fall 2023 semester. Out of the 20 participants, 3 were in the research phase of their dissertation (writing phase), 16 were still in the process of completing their coursework requirements (pre-writing phase), and 1 did not provide a response about their program phase. Measurement of Expectancy-Value Theory constructs on a scale from 1 to 7 was performed. Analysis of the mean values for each construct between students in the pre-writing phase and those in the writing phase of their doctoral program showed statistical significance with large effect size values for the constructs of attainment and utility. Values for students in the pre-writing phase were higher on the attainment and utility construct, with students in pre-writing phase having attainment and utility mean values of M = 6.29 and M = 5.69, respectively, and those in the writing phase having M = 5.50 and M = 4.17 respectively. These preliminary results can help to better understand students' motivations during their doctoral journey, especially as they make the transition from the pre-writing to the writing phase and may lead to identification of areas where additional support can be provided.
Litson, Kaylee; Blaney, Jennifer M.; Feldon, David F.(
, Frontiers in Psychology)
null
(Ed.)
Developing research self-efficacy is an important part of doctoral student preparation. Despite the documented importance of research self-efficacy, little is known about the progression of doctoral students’ research self-efficacy over time in general and for students from minoritized groups. This study examined both within- and between-person stability of research self-efficacy from semester to semester over 4 years, focusing on doctoral students in biological sciences ( N = 336). Using random intercept autoregressive analyses, we evaluated differences in stability across gender, racially minoritized student status, and first-generation student status. Results showed similar mean levels of self-efficacy across demographic groups and across time. However, there were notable differences in between-person and within-person stability over time, specifically showing higher between-person and lower within-person stability for racially minoritized and first-generation students. These findings indicate that racially minoritized and first-generation students’ research self-efficacy reports were less consistent from semester to semester. Such results may indicate that non-minoritized and continuing-generation students’ experiences from semester to semester typically reinforce their beliefs about their own abilities related to conducting research, while such is not the case for racially minoritized nor first-generation students. Future research should examine what types of experiences impact self-efficacy development across doctoral study to offer more precise insights about factors that influence these differences in within-person stability.
It is increasingly critical that engineering students develop proficiency with computational modeling tools, and many curricula include some introduction to such tools during their first year. It is clear that student interest and skill can vary significantly based on prior experiences, but it is less clear whether student motivation specifically related to computational modeling varies as well. This study hypothesizes that the self-efficacy and utility value related to computational methods varies significantly in students’ first year and that engineering students pursuing some disciplines (such as computer, software, and electrical engineering) will begin with a higher initial self-efficacy than others (such as chemical, materials, and biomedical engineering). A survey was used to investigate the utility value and efficacy of approximately 700 undergraduate students in their first year of engineering studies at both a large public institution and a small private institution. Data is analyzed for variations in baseline motivation based on the students’ intended major. This analysis also considers known confounding factors such as gender, race, and prior experience with programming. The results of this survey will help determine whether efficacy and interest related to computational methods vary based on intended major early in an engineering student’s academic career. Ultimately, it is hoped that this study can inform future studies related to what types of interventions might benefit students.
Andrews, Madison E., Patrick, Anita D., and Borrego, Maura. Engineering students’ attitudinal beliefs by gender and student division: a methodological comparison of changes over time. Retrieved from https://par.nsf.gov/biblio/10218440. International Journal of STEM Education 8.1 Web. doi:10.1186/s40594-020-00269-6.
Andrews, Madison E., Patrick, Anita D., & Borrego, Maura. Engineering students’ attitudinal beliefs by gender and student division: a methodological comparison of changes over time. International Journal of STEM Education, 8 (1). Retrieved from https://par.nsf.gov/biblio/10218440. https://doi.org/10.1186/s40594-020-00269-6
Andrews, Madison E., Patrick, Anita D., and Borrego, Maura.
"Engineering students’ attitudinal beliefs by gender and student division: a methodological comparison of changes over time". International Journal of STEM Education 8 (1). Country unknown/Code not available. https://doi.org/10.1186/s40594-020-00269-6.https://par.nsf.gov/biblio/10218440.
@article{osti_10218440,
place = {Country unknown/Code not available},
title = {Engineering students’ attitudinal beliefs by gender and student division: a methodological comparison of changes over time},
url = {https://par.nsf.gov/biblio/10218440},
DOI = {10.1186/s40594-020-00269-6},
abstractNote = {Abstract Background Students’ attitudinal beliefs related to how they see themselves in STEM have been a focal point of recent research, given their well-documented links to retention and persistence. These beliefs are most often assessed cross-sectionally, and as such, we lack a thorough understanding of how they may fluctuate over time. Using matched survey responses from undergraduate engineering students ( n = 278), we evaluate if, and to what extent, students’ engineering attitudinal beliefs (attainment value, utility value, self-efficacy, interest, and identity) change over a 1-year period. Further, we examine whether there are differences based on gender and student division, and then compare results between cross-sectional and longitudinal analyses to illustrate weaknesses in our current understanding of these constructs. Results Our study revealed inconsistencies between cross-sectional and longitudinal analyses of the same dataset. Cross-sectional analyses indicated a significant difference by student division for engineering utility value and engineering interest, but no significant differences by gender for any variable. However, longitudinal analyses revealed statistically significant decreases in engineering utility value, engineering self-efficacy, and engineering interest for lower division students and significant decreases in engineering attainment value for upper division students over a one-year period. Further, longitudinal analyses revealed a gender gap in engineering self-efficacy for upper division students, where men reported higher means than women. Conclusions Our analyses make several contributions. First, we explore attitudinal differences by student division not previously documented. Second, by comparing across methodologies, we illustrate that different conclusions can be drawn from the same data. Since the literature around these variables is largely cross-sectional, our understanding of students’ engineering attitudes is limited. Our longitudinal analyses show variation in engineering attitudinal beliefs that are obscured when data is only examined cross-sectionally. These analyses revealed an overall downward trend within students for all beliefs that changed significantly—losses which may foreshadow attrition out of engineering. These findings provide an opportunity to introduce targeted interventions to build engineering utility value, engineering self-efficacy, and engineering interest for student groups whose means were lower than average.},
journal = {International Journal of STEM Education},
volume = {8},
number = {1},
author = {Andrews, Madison E. and Patrick, Anita D. and Borrego, Maura},
editor = {null}
}
Warning: Leaving National Science Foundation Website
You are now leaving the National Science Foundation website to go to a non-government website.
Website:
NSF takes no responsibility for and exercises no control over the views expressed or the accuracy of
the information contained on this site. Also be aware that NSF's privacy policy does not apply to this site.
