. Chemical Engr. Male 41 11 7 Female 14 14 19 Total 55 25 26Our research team wrote survey questions to measure the frequency and severity of overt andcovert sexism, gender biases, microaggressions, and other factors of a chilly cultural climatetoward women, as found in our literature review. Examples and key definitions were provided toparticipants in each survey question (see Figure 1 and Figure 2). The survey questions were vettedthrough a pilot study consisting of five male and five female aerospace students. Faculty at thestudied university
measurements" to the little character, person, or community doggy as she's making his house that informs the design during the Doggies activity. challenge, process, or solution. (F13R3, min 16-17) The characters or persons can be real or imaginary, but they must be a “user” of the design and not just a reflection of personal preference.Secondary Analysis of Qualitative DataFollowing the extensive retrospective analysis of Round 3 data completed by the full REACH-ECE research team, a secondary analysis of the Round 1 and Round 2 video data was conducted.The first two authors of the present paper led a
of students is essential for promotingstructural change in STEM disciplines at schools and institutions of higher education.The following paragraphs detail suggestions discussed by all of our panelists regarding necessarychanges in the areas of K-12 education, undergraduate college, graduate school, and theworkforce to promote gender equity.K-12 education: Improving gender equality in engineering starts in elementary, middle, and highschool as this is where people start to get interested in STEM and learn foundational science andmath concepts. By the time these girls enter middle school, they already have lower STEMidentities, self-efficacy, and career aspirations than their male classmates [30]. The panelistsidentified two areas of
Denise Wilson is a professor of electrical engineering at the University of Washington, Seattle. Her research interests in engineering education focus on the role of self-efficacy, belonging, and other non- cognitive aspects of the student experience on e ©American Society for Engineering Education, 2023 Is Natural Language Processing Effective in Education Research? A case study in student perceptions of TA supportAbstractNatural language processing (NLP) techniques are widely used in linguistic analysis and haveshown promising results in areas such as text summarization, text classification, autocorrection,chatbot conversation management, and many other applications. In education, NLP
. Current and past implementations of the course indicate thatstudents gain the most from the course when they engage in both the MOOC and the hands-onbuild and launch section, but still gain a great deal of understanding and self-efficacy from theonline course alone. When taking part in the hands-on portion, students become more curiousand ask insightful questions they had not thought of during the earlier sections, indicatingqualitatively an increase in student interest in further pursuing rocketry. These results arecurrently being studied more quantitatively in implementation of the course at the universitylevel.The instructional design is structured as first learning the theoretical concepts via video lessons,and then applying the hands-on kits
academicperformance set the students up for continued success. Failing calculus freshman year canjeopardize four-year graduation, but ELLC students earned higher first semester math gradesthan non-participants (mean grade of 2.75, vs. 2.46 for the combined Other LLCs and No LLCgroups, p = 0.047). A third explanation is self-selection bias beyond what this study’s input andenvironmental variables can control for. ELLC participants may have greater interest, self-efficacy, and/or other non-cognitive factors that affect persistence in an engineering or STEMmajor.Interestingly, engineering student participation in non-honors Other LLCs appears to havelowered graduation rates. While the effect is not significant due to low enrollment in the OtherLLCs, the result
critiqued in several ways. Borrego and Beddoes [19], for example, point to underutilization ofavailable critical feminist theories, particularly intersectional, interactional, and masculinity studiesapproaches, that are considered to have substantial potential to benefit the gendered field of engineering.Denton and Borrego [61] suggest that, despite a relative abundance of FoK research in STEM education,FoK work remains focused on K-12 curriculum development and lacks a broader implementation andassessment of its effects on student learning outcomes related to identity, self-efficacy, and belonging.Holley Jr. and Masta [4] critique the “invisibility of whiteness” within critical race research in engineeringeducation, contrasting the numerous
partnerships. Thus, it is necessary forinternational actors to understand what learners know and how they think prior to launching acollaborative education program. To achieve this, we designed and implemented a Recognitionof Prior Knowledge (RPK) assessment for girl learners in rural Zimbabwe and Senegal.Our assessment recognizes students' prior knowledge relevant to the engineering curriculum andexplores their self-beliefs. The assessment is used to better understand and challengeassumptions around the context, the language, and how students engage with technical projectsin each setting. In many sub-Saharan countries, girls are not encouraged to pursue technicaleducation. This negatively impacts their engineering beliefs, including motivation, self
require adopting a ‘neutral’ stance – a perhaps impossible standard – but rather an open-minded one that encourages all students to develop critical thinking skills and self-efficacy. In his words: David: I always feel constrained to – not so much to be neutral, but to be studiously open to different points of view, ... teach tools, in this case like a mode of thinking ... – or maybe it’s not even a mode, just ... instilling in the students the confidence that they can think about these things on their own. David later explains that to him, being open means “not so much neutral as accepting, listening – so to speak – and curious.” David’s experience shows that politicization in the classroom
werederived from the proficiencies of the USAFA Outcomes for Application of Engineering Problem-Solving Methods and Critical Thinking (see Appendices A and B). The final question was includedto capture the students’ self-efficacy in their learning development, which is a topic not specificallyaddressed in this paper. The initial and final questionnaires were identical to gauge a student’sself-assessed development in a given outcome proficiency from the beginning of the semester tothe end. In the Spring 2022 semester, all seven instructors and 369 students participated in the newcourse with the new course projects. The same questionnaire was given to the students at the startand end of the semester, and 321 students responded.The students responded to
Culture in US Higher Education: Navigating Experiences of Exclusion in the Academy. Routledge, 2022.[17] J. Maloy, M. B. Kwapisz, and B. E. Hughes, “Factors influencing retention of transgender and gender nonconforming students in undergraduate stem majors,” CBE—Life Sciences Education, vol. 21, no. 1, p. ar13, 2022. [Online]. Available: https://doi.org/10.1187/cbe.21-05-0136[18] E. Kersey and M. Voigt, “Finding community and overcoming barriers: Experiences of queer and transgender postsecondary students in mathematics and other STEM fields,” Mathematics Education Research Journal, pp. 733–756, 12 2021. [Online]. Available: https://doi.org/10.1007/s13394-020-00356-5[19] J. A. Miles and S. E. Naumann, “Science self-efficacy in
theprogram. The third action, supporting students' self-actualization and actively motivating them, isimportant because it helps students to develop a sense of agency and self-efficacy. This can beachieved through encouragement, positive feedback, and support for their personal andprofessional growth. The fourth action, contributing to the development of the student's professional andacademic network, is critical because it can help students build valuable connections andopportunities for their future careers. This could include introducing students to relevantprofessionals in their field, helping them network at conferences or other events, or providingguidance on how to build a strong professional brand. Finally, the fifth
and Ph.D. in civil engineering from UF. During her studies, she became passionate about issues of equity, access, and inclusion in engineering and computing and worked to develop programs and activities that supported diverse students in these disciplines. Today, Dr. Waisome is an incoming Assistant Professor in the Department of Engineering Education where she conducts research on broadening participation in science, technology, engineering, mathematics, and computing (STEM+C). She is particularly interested in understanding how formalized mentoring programs impact student trajectories and self-efficacy. In her teaching, she utilizes the learner-centered approach to instruction.Lilianny Virguez (Lecturer
] analyzed the “low-choice culture” of engineering curricula, particularly incontrast to other fields of study. In the context of new research demonstrating the value of selfdetermination or autonomy for students in motivating learning, enhancing self-efficacy, andsupporting persistence, the relative inflexibility of engineering curricula stood out starkly. Withinindividual courses, studies have shown the “power of choice” to positively influence studentoutcomes, for example, when students may choose from among a menu of design projects[45, 46], and recommendations have been made for the design of self-determination supportiveengineering-student learning experiences [47, 48]. However, Forbes, et al.,’s statistical analysis ofthe curricula at 46
context of the IBM and help-seeking, personal agency is driven bybeliefs about barriers and facilitators to seeking help and self-efficacy beliefs (e.g., confidence inability to seek help). Personal agency beliefs are influenced by background variables such asdemographic characteristics, culture, socioeconomic status, personality, and environmentalstressors. IBM provides researchers with a qualitative protocol for identifying key backgroundvariables and personal agency beliefs.In this study, we use an integrative approach to investigate students’ beliefs by combiningqualitative research methods with the Integrated Behavioral Model. As we seek to understandwhat beliefs drive help-seeking behavior, it is also important to understand the unique
communicate to students that accuracy and efficiency are valued over meaning-making. This can serve as an incentive to high-performing students and a disincentive to lower performing students and students with lower self-efficacy. In displaying content-centered courtesy and civic virtue, faculty prepare resources and provide feedback on progress; with few truly low-stakes opportunities for feedback, these reinforce the primacy of accurate and efficient knowledge acquisition. Ruinous Faculty display short-sighted learner-centered altruism and courtesy behaviors, empathy expressing care for students in ways that lower their expectations out of concern
● I am confident with Calculus ● I enjoy math ● I can apply my math skills to computing and engineering projectsThe pre- and post-bootcamp survey included the same ratings. Ten (n=10) out of seventeenstudents (59%) participated in the survey. The participation in surveys decreased 23 percentagepoints compared to the 2019 bootcamp which was held face-to-face. Table 2 shows the mean(M) and standard deviation (sd) for each item’s rating.By looking at Delta we observe that the average change in attitude represents mostly small-to-moderate increases in students’ ratings of their self-efficacy from before (pre-) to after (post-) thebootcamp. Deltas are greatest for students’ confidence with trigonometry (M = 1.05, sd = 0.21
, vol. 2018- Octob, no. 1428689, 2019.[16] W. H. Guilford, “Clinician-engineer career bias and its relationship to engineering design self-efficacy among Biomedical Engineering undergraduates,” in ASEE Annual Conference and Exposition, Conference Proceedings, 2020, vol. 2020-June.[17] G. Potvin et al., “Gendered interests in electrical, computer, and biomedical engineering: Intersections with career outcome expectations,” IEEE Trans. Educ., vol. 61, no. 4, pp. 298–304, 2018.[18] J. Rohde, J. France, B. Benedict, and A. Godwin, “Exploring the early career pathways of degree holders from biomedical, environmental, and interdisciplinary/multidisciplinary engineering,” in ASEE Annual Conference and
andOrganizational Foundations of Integration In 2010, although the total number of papers that fell into our categories did not increasesignificantly (17 in 2010 vs. 14 in 2000), awareness of published research did increase. In 2000,the average number of references was 6.4, but in 2010, the average number was 13.6, which ismore than a 100 percent increase. Whereas the median number of references in 2000 was 4.5 andthe mode was 1, the median number of references for 2010 was 10 and the mode was 7. Inessence, almost every paper in 2010 attempted to bring in a range of sources, whereas almosthalf of the papers in 2000 had only one to three citations. The number of references is, of course,only a crude measure of awareness of published research. That
an energy audit of [our] campus, working on a bookabout sustainable agriculture in the Lehigh valley, working on a traffic calming solution for [local]street. All within arms length with measurable and visible impact on student life (especially if youwere a student who volunteered at [campus organic farm], like I did!)” Another respondent invokedsustainability as a way of explaining the program to others: “I try to explain that it is a degreefocused on policy and critical thinking in engineering and sustainability with a technicalbackground.”Responses about the perceived strengths of the program also surfaced an emergent theme of“professional preparation” (8 responses). While this theme was not unexpected as a response tosurvey questions
modified the curriculum to the needs of scholars.Week 1 instruction focused on algebraic concepts and dimensional analysis. Week 2 addressedcalculus concepts. The course received excellent evaluations from students and data analysisshowed measurable gains in knowledge as assessed by pre- and post-tests. All but one student inCohort 1 achieved growth during Math Boot Camp. The mean post-test score across all threecohorts was 81/100 (SD = 15), versus a mean pre-test mean of 52/100 (SD = 29). Using a pairedt-‐test, we found that growth was statistically significant, t(26) = 6.376, p < 0.0001. Besidesmaking virtually all students feel like they had improved their mathematics skills, students alsoreported that they had increased confidence in other
Page 26.1744.11 to pursue careers in STEM- related areas. Studies suggest that gender differences in terms of interest in science, technology, engineering, and math can begin at an early age22. In many cases, females tend to feel they are neither competent enough nor have the ability to study disciplines that are traditionally male dominated. As a result, females end up having a negative attitude towards the STEM fields of study. This attitude towards the STEM study areas are further exaggerated when considering the fact that there are a limited number of female mentors, roll models, or peers to improve self- efficacy in this area. The Women in Technology Discussion Panel and Symposium is instrumental in stimulating interest
that constitute a gap once freshmen –who had high-self efficacy beliefs in highschool-- enter engineering to face a rigorous math and science program and leave engineeringdue to attrition or beliefs of lack of adequacy for the career. Our objective with this research is to search what are the deficiencies in HS preparationto identify improvement opportunities so that to enhance the college experience of our studentsand improve attrition. In the next section we will review the main factors that appear in the literature as criticalfor freshmen success and subsequent retention.II- LITERATURE REVIEWA. Critical and Non-Critical Factors in Freshman Enrollment Heckel1 presented some high school factors that can influence the
need to hire female math and science instructors and teachers and parents need workshops to help them envision a broader future for their girls.Demetry and Sontgerathi11 reported on the long-lasting effects on perceptions of engineering andengineering self-efficacy for a two-week summer camp held at Worcester Polytechnic Institutefor rising seventh-grade girls. They found that girls who attended the camp and who sustainedtheir contact with the program (e.g. returning to the program as a staff member) had morepositive and accurate perceptions of engineering. Multiple interventions were important – girlswho participated in multiple STEM programs or events had stronger long-term outcomes.Participants in the camp did show
with theleadership of both women and men in positions of power.Thematic analysis of interviews reveals that the gender equality so far achieved by thedepartment has been a result of very deliberate structural changes, (e.g. hiring processes), and astrong representation of proactive department members with high levels of self-efficacy—theyare both aware of gender issues and believe in their ability to enact change. Different butcomplementary actions, from changing the way the admissions office recruits admissionscandidates to broadening the faculty hiring searches, have compounded over time to produce thecurrent state of near parity in the undergraduate population. These actions may not have beencoordinated, but, taken together, resulted in a
than a survey.When the total number of themes identified per student on the post survey were compared to theLikert-type response items, two weak correlations were found: student ratings of importance ofethical issues to engineering (Spearman’s rho 0.184, two-tailed sig. 0.002) and average self-efficacy (preparation/ confidence across 4 items; Spearman’s rho 0.140, two-tailed sig. 0.017).However, there were not correlations with students’ rating of the importance of the considerationof societal issues to engineering (Spearman’s rho .083, sig. .156) or the level they felt prepared toface ethical issues in their future work (Spearman’s rho 0.90, two-tailed sig. 0.125). It wasexpected that if students’ believed ethics was important they would have
;Development, as shared through MentorCity, that 75% of industry executives point to mentorship asplaying a key role in their career [8]. For engineering students, even if this value of mentorship is known,the process by which to find a mentor can be intimidating and awkward. For many, gender, race, andperceived self-efficacy define these limitations [9].A year-long intentional industry mentorship program was developed at the University of San Diego toaddress this lack of workforce preparedness and intimidation around mentorship. The Industry ScholarsMentorship Program, was industry initiated and launched in Fall 2018, as a continuation of the IndustryScholars immersion program, also industry initiated but more focused on skillset development and