scale was employed to measure students' self-efficacy in engineering tasks. Thisinstrument assesses various dimensions of engineering self-efficacy, including students’confidence in their ability to succeed in engineering courses, solve technical problems, andpersist in their engineering studies [15]. The assessment of engineering self-efficacy amongstudents will be focused on several constructs, each measured through specific items that providea comprehensive understanding of students’ confidence and perceived abilities within the field ofengineering, including Factor1: Engineering Self-Efficacy, Factor 2: Engineering CareerExpectations, Factor 3: Sense of Belonging, and Factor 4: Coping Self-Efficacy.Computer Programming Self-Efficacy Scale
psychosocial needs of the students, with statements such as “My advisor takes aninterest in my well-being and life-work balance,” and “My advisor provides emotional supportwhen I need it.” Finally, TSE is our dependent variable and is measured by the Thesis Self-efficacy factor, measured on a confidence-anchored Likert scale and includes items that deal withthe various skills surrounding the completion of a terminal document.Participants and InstitutionsWhile our focus is set on the experiences of Latin* engineering graduate students, our surveywas open to students of all racial and ethnic backgrounds. The target population could bedescribed as engineering graduate students enrolled in master’s and doctoral programs whowere actively working towards
as theSTEM-CIS (STEM Career Interest Survey) [15] tool measures self-efficacy and interest inSTEM classes and careers. The surveys included a pre-survey before arriving on campus, asurvey at the end of week 1 and week 2 to capture feedback on specific activities, and a post-survey at the end of BETA. All surveys were available via QR code for mobile devices. Thepost-surveys include whether students found material in the individual program sessions relevantto their goals, contained new knowledge, and presented in a learning-conducive way. The surveyof activities spanned departments in engineering [16].Additionally, we conducted pre- and post-camp focus groups. These focus groups involvedmeeting with a groups of 12-15 students in a room
-efficacy(general, design, and experimental), the Achievement Goal Questionnaire (AGQ), and itemsfrom the Longitudinal Assessment of Engineering Self-Efficacy (LAESE) were applied.Participation in SBP showed statistically significant differences in items that measured self-efficacy, academic readiness, sense of belonging, and knowledge about university life andindustry. However, goal orientation and career expectations did not exhibit changes. Resultssupport that the current five-pillar structure effectively promotes student success and persistencein engineering degrees for first-year students at Mississippi State University.Introduction In the United States, educational efforts aim to increase enrollment in 2- or 4-yearinstitutions right
environment in terms of support, organizational climate, incivility, microaggressions, and work-family conflict? 1a. Are there differences across Latino men and Latina women on perceptions of the workplace? 1b. Are there changes in these measures across time? 2. What are their perceptions of their self-efficacy and outcome expectations in domains of engineering tasks, organizational skills, and multiple roles? 2a. Are there differences across Latino men and Latina women on self-efficacy and outcome expectations
undergraduate studentsin STEM and inform the development of tailored interventions through the STEM-RAEE program.With the overarching goal of fostering diversity, equity, and inclusion in the engineering andcomputing professions, our research aims to empower racially minoritized students to leveragetheir STEM knowledge for entrepreneurial success and community impact. We employed anonline survey instrument, integrating constructs from empirically validated scales inentrepreneurship literature, to gather insights from 86 undergraduate STEM majors enrolled at twoHBCUs in the Southern region of the United States. The survey assessed various factors, includingintent to pursue entrepreneurship, self-efficacy in entrepreneurship, role models
, particularly women ofcolor, continue to be grossly underrepresented in engineering and agrisciences [2], [3]. TheANGELS Education/ Teaching Programs were designed to support increased participation ofwomen and underrepresented minorities in STEM, with a unique focus on broadening participationthrough motivational impact for middle school girls. Affare, Pedersen, McElrone, Barbosa, and RamnarineMotivation, such as personal-professional identity, self-efficacy, and belonging, has long beenshown to play a role in interest and integration in STEM fields, particularly for women andunderrepresented minorities [4], [5]. According to a 2018 Confidence Code poll, self-confidencelevels drop by thirty percent (30%) for girls between the ages
malleable and can be shifted to growthmindset beliefs with simple, low-cost interventions [8]. Additionally, less experiencedinstructors, such as TAs, may be more likely to change their teaching beliefs than moreexperienced instructors [9].After participating in the PD, the graduate students reported high levels of confidence in theirability to use various inclusive teaching practices, such as confidence in reflecting on the impactof their mindset on students’ classroom experiences, using student data and feedback to informtheir teaching, and promoting students’ identity safety. These pilot results align with previousresearch that reported high TA confidence and self-efficacy [9], [18], [19]. Wheeler et al. [9]found that chemistry TAs had high
, family, andadults at school. The protocol, adapted from an existing protocol [18], was originally written toaugment quantitative research measures (such as student surveys, data from the LearningManagement System, and achievement data) and gather insight into socioenvironmental factorsimpacting BOAST participants. This interview protocol was revised before Year 2, for exampleto acquire more consistent math self-efficacy ratings and re-order questions for fluidity.Interviews were conducted one-on-one in person or via Zoom. Digital audio recordings weretranscribed and coded using Nvivo analytical software.Data Analysis The First Cycle of coding [19] highlighted SCCT theory-derived constructs (Table 1). Inthe Second Cycle, language used by
engineering technology fields, with Latine faculty representing only 4% of theoverall faculty [33].Although studies show that having faculty mentors from similar backgrounds enhances theoutcomes for doctoral students, low faculty representation inevitably sets the stage for cross-cultural mentoring in the STEM doctoral context [4], [6], [19], [23], [24]. Cross-culturalmentoring occurs when mentees and mentors come from different cultural or racial backgrounds,in which cases racially and ethnically minoritized doctoral students are more likely to benefitfrom individualized support and guidance academically and emotionally for completion of thedoctoral program and develop self-efficacy as a scholar [4], [6], [19], [23], [24]. In a case studyby Sangiago
. 12 Scholars & Theories Expanding Critical Consciousness Matthew Diemer Three Alexis Jemal Transformative Components of Critical Potential Consciousness Diemer et al. (2015) expanded upon Transformative potential uses anFreire’s components of CrC (i.e., critical intersectional approach to social analysis reflection & action) by adding critical focusing on both the positions of oppression motivation or political self-efficacy. and privilege as forms of inequity. 13 Scholars & Theories Expanding Critical
who has worked with social scientists for 20+ years. She has investigatedengineering student identity development, self-efficacy, motivation, goal orientation, cognitiveflexibility, adaptive expertise, complex problem solving, etcetera in collaboration with socialscientists (Pierrakos, 2017; Pierrakos, 2016; Pierrakos et al., 2016a; Pierrakos et al., 2016b;Williamson et al., 2016; Pappas et al., 2013; Pierrakos et al., 2013; Pierrakos et al., 2010a;France et al., 2010; Pierrakos et al., 2010b; Zilberberg et al., 2010b; Pierrakos et al., 2010c;Pierrakos et al., 2009; Pierrakos and Trenor, 2009; Trenor and Pierrakos, 2008). These uniqueperspectives in understanding engineering students and knowledge gains as an interdisciplinaryand cross
approach taken by other studies, which have focused on suchinstitutional factors as faculty-student ratio, school size, school type, and undergraduatepopulation diversity [13]. Instead, the team sought to investigate the ways in which learners’experiences are shaped by key facets of the entire learning environment, such as faculty attitudes,advising support, approaches to DEI, and student sense of belonging and self-efficacy. Whenstudents face multifaceted barriers, educators and administrators are obliged to exploremultifaceted solutions [14]. For this reason, the team sought to understand barriers from multipleperspectives using quantitative and qualitative data.MethodsThe current study describes the development and implementation of an
quantitative measures may not beassessed until decades later, e.g., when a 2nd grader eventually chooses to pursue a STEM majorin college. Qualitative aspects can include analyses of interviews and free response survey datato ascertain improved sense of belonging, self-efficacy, or access to educational opportunitiesamong the target population. They could also include an increased understanding of gender orrace/ethnicity in STEM opportunities, skills development in becoming an equity advocate, and adeepening passion for DEI in STEM. They could also include subtle data-driven shifts in cultureor practice, e.g., creating groups for class assignments where female students are not isolated,sustaining near peer-mentor networks, or sustainability and
, confidence, and professional skill development among students. Allof these factors also influence engineering identity and research self efficacy [1]. In addition tofacilitating interactions with strategically trained faculty mentors, these ECHS REU students arementored by more senior researchers in their respective research labs, and within the GCSP-REUprogram, where various levels and fields of students have been collaborating for five weeks priorto the ECHS joining the team. This structured, tiered mentoring approach lessens the burden onany one member and expands the community of practice each student has. It has already proveneffective in previous GCSP-REU cohorts and could serve as a model for scaling in similarinitiatives [1]. In reflection
, they are more likely to overcome obstacles in their academic journey, allowingthemtobuildresilience.Academicresilienceissignificantlyassociatedwithenhanced performance and a greater likelihood of achieving educational goals, as resilient students are better able to overcome challenges and maintain motivation [17]. Research supports that self-efficacy,orbeliefinone'sabilities,enhancesmotivationandengagement,whicharecrucialf oracademicsuccess[18].Higherself-efficacyisassociatedwiththeuseofdeepercognitiveand metacognitive strategies, ultimately resulting in better academic
' distinct needs (Pascarella et al., 2004). Engineering education, in particular, should consider these challenges because the field demands not only academic rigor but also the development of a strong professional identity and self-efficacy—areas where first-generation students may experience additional hurdles (Strayhorn, 2012).Research shows that first-generation students are less likely to persist in STEM fields, includingengineering, compared to their continuing-generation peers (Chen, 2013). This disparity is oftenattributed to lower levels of social and academic integration, fewer support systems, and a lackof role models in STEM (Terenzini et al., 1996). These factors highlight the need for targetedsupport programming
andunderstood by someone who has walked a similar path.” This shared reflection of supportsuggests that intentional modes of mentoring does not only create a sense of belonging, butrecreates a space—a community that extends beyond SWE events. Moreover, within suchspaces, students are able to build their confidence and self-efficacy—enabling them to thrive inSTEM traditionally male-dominated fields—both on and off campus.By contrast, several barriers appear to influence the effectiveness of retention and recruitment ofMSI students. In particular, the distribution of resources via grant funds and challenges inmaintaining engagement beyond the initial recruitment phase (see Table 5 for StakeholderChallenges and Lessons Learned). At the same time, a few
boosting confidence.These findings led SWE to consider ways in which they could better support women startingtheir engineering and computer science studies at a community college, to encourage them tostay in these majors, transfer, and complete their degrees in these fields. SWE’s plans centeredon the outcomes from their research; specifically, the role that the society should play inincreasing community college women’s knowledge about engineering as a career, buildingconfidence and self-efficacy, and ensuring that they felt a sense of inclusion in engineering,despite often being one of few women in their STEM classes [16].First, SWE added supporting students attending two-year colleges as a strategic priority in2021. To this end, an affinity
. McDermott, "Assessing the Effectiveness of the GradTrack Virtual Mentoring Program," in Proceedings of the 2023 ASEE Annual Conference & Exposition, June 2023. https://doi.org/10.18260/1-2--42681[2] K. Atkins, B.M. Dougan, M.S. Dromgold-Sermen, H. Potter, V. Sathy, and A.T. Panter, "“Looking at Myself in the Future”: how mentoring shapes scientific identity for STEM students from underrepresented groups," International Journal of STEM Education, vol. 7, no. 1, p. 42, August 2020. https://doi.org/10.1186/s40594-020-00242-3[3] A. Carpi, D.M. Ronan, H.M. Falconer, and N.H. Lents, “Cultivating minority scientists: Undergraduate research increases self-efficacy and career ambitions for underrepresented students
appointment in Engineering Education. His research interests include engineering identity, self-efficacy, and matriculation of Latine/x/a/o students to graduate school. He works with survey methods and overlaps with machine learning using quantitative methods and sequential mixed methods approaches.Dr. Janice Mej´ıa, Northwestern University Dr. Mejia is an Associate Professor of Instruction in the Department of Industrial Engineering and Management Sciences. She also teaches in the Design Thinking and Communication (DTC), Masters in Engineering Management (MEM), and College Prep programs. Her research interests focus on mixed methods research in engineering education, curriculum assessment and development, and engineering
development. In our sample, participants often reported on how crucial the influence and support of members of the community and family was in shaping their career interests and self-efficacy in achieving a career in STEM.2. Redefining success was an important aspect of the counter narrative about motivations for academic and professional pursuits. While participants did report recognition, personal fulfillment, and a desire for success as motives toward their academic and professional pursuits, they also reported the need to have an impact on emerging FWoC and other minority populations entering STEM fields, a need to create value specifically around having a social impact either within or outside their current institution. Often the
comparison of the mean scores across genders for each construct. A more in-depth exploration of these differences is discussed in the subsequent paragraphs. Figure 1: Gender-wise Mean Scores Comparison4.1 Needs FulfillmentFemale students (M= 58.16, SD = 28.04) showed higher gains in Needs Fulfillment than malestudents (M= 41.42, SD = 28.22, t=-8.92, df=998, p=0.00), indicating a statistically significantdifference between the two groups. This result suggests that female students are better at seekingand achieving personal and professional satisfaction compared to male students. The higherNeeds Fulfillment scores among female students imply that they have higher self-efficacy andmight experience a greater sense of fulfillment
harnesses AI and NLP to design accessible educational tools for underrepresented college STEM students. He holds his Bachelor’s and Master’s degree in ECE from The Ohio State University and UW, respectively.Dr. Denise Wilson, University of Washington Denise Wilson is a professor of electrical and computer 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 on the student experience. Her research interests and publication record are split among workforce, engineering education, and sensors research. She is committed to supporting progress toward gender parity in engineering and enabling equitable