Paper ID #44125Examining Imposter Syndrome and Self-Efficacy Among Electrical EngineeringStudents and Changes Resulting After Engagement in Department’s RevolutionaryInterventionsMr. Jeffrey Luke Morrison, University of South Florida Jeffrey Luke Morrison is an undergraduate student pursuing his bachelors in Electrical Engineering at the University of South Florida with focuses in wireless circuits and nano-scale systems. He is an IEEE member and also a member of the USF Honor’s College. In addition to pursuing his EE degree, he is also pursuing a BS in Quantitative Economics and Econometrics.Dr. Chris S Ferekides, University
Their Own Words: How Aspects of Engineering Education Undermine Students’ Mental Health,” in 2022 ASEE Annual Conference & Exposition Proceedings, Minneapolis, MN: ASEE Conferences, Aug. 2022, p. 40378. doi: 10.18260/1-2–40378.[33] N. Mamaril, E. Usher, C. Li, D. Economy, and M. Kennedy, “Measuring Undergraduate Students’ Engineering self‐efficacy: A validation study,” J. Eng. Educ., vol. 105, no. 2, pp. 366–395, Apr. 2016, doi: 10.1002/jee.20121.[34] K. J. Jensen and K. J. Cross, “Engineering stress culture: Relationships among mental health, engineering identity, and sense of inclusion,” J. Eng. Educ., vol. 110, no. 2, pp. 371–392, Apr. 2021, doi: 10.1002/jee.20391.[35] S. Farrell, A. Godwin
SystemsTheory recognizes that variation in individuals’ development “exists across time within contexts,and across contexts within time;” as a result, “differences in time and place constitute vitalcontributors to plasticity across the life span” [13]. Given the variations by time and place, weexpect a diverse range of pathways of individuals who are on their way to the engineeringprofession.The Social Cognitive Career Theory (SCCT) [14] posits that one’s learning experiences caninfluence their self-efficacy and outcome expectations, which in turn influences their interests,goals and, ultimately, career choice actions; these learning experiences are affected by personinputs (such as predispositions, gender and race) and contextual affordances (such as
shapingachievement goal orientation, our results encourage the design of gender-neutral interventionsaimed at fostering mastery and performance goals for all students. By focusing on strategies thatcollectively enhance mastery orientation, cognitive engagement, and self-efficacy, educators canbetter support students’ academic success regardless of gender. This involves designing learningenvironments that prioritize growth, collaboration, and skill development, ensuring that allstudents are empowered to reach their full potential. Future research should explore additionalfactors influencing AGO, such as cultural background, teaching methodologies, and students’academic years. Investigating these variables could provide a deeper understanding of whatdrives
to selectedstudents. In addition to the scholarship funds, S-STEM programs offer additional activities andresources [1]-[4]. For example, Southern Methodist University provided their S-STEM studentswith weekly seminars and block scheduling which positively impacted the students and theirability to excel academically. While various academic and support resources are included in theimplementation of the S-STEM Program discussed here, this paper’s focus is the impact ofweekly lunches on our students.Student retention is typically influenced by feelings of self-efficacy and inclusion in engineeringspaces [5]-[6]. Reasons for attrition include classroom and academic climate, grades andconceptual understanding, self-efficacy and self-confidence
organizational success. Given that the majority of engineeringgraduates have only extensively been in the educational system [15], it is vital to identifyapproaches that allow them to better thrive in the workplace. Katz found that engineering studentswho had directly engaged with the professional engineering environment through interviews, co-op assignments, and seminars had “expectations [of their workplace responsibilities]…that muchmore closely matched the expectations of the professionals than…the students who had not”engaged with the professional world [29]. Similarly, problem-based learning through a capstonedesign course was shown to increase software engineering students’ confidence in their technicalabilities and improve their self-efficacy
Retention Problem and Gauging Interest in Interdisciplinary Integration into Undergraduate CurriculumAbstractUnderrepresented minorities (URMs) leave the engineering field at a rate significantly higherthan average. Researchers conclude that low self-efficacy, lack of support, and hostile andbenevolent discrimination are contributing causes. We contend that URMs’ lack of retention inengineering is due to a push by these causes, as well as a pull towards fields that more closelyalign with their identity. To explore further, a Qualtrics survey instrument was developed tounderstand the experiences of people who have fully or partially left the engineering field. Wesurveyed 47 URM and 38 non-URM participants at
, doi: 10.1111/jcal.12130.[9] C. J. Fong et al., “Meta-Analyzing the Factor Structure of the Learning and Study Strategies Inventory,” The Journal of Experimental Education, pp. 1–21, Jan. 2022, doi: 10.1080/00220973.2021.2021842.[10] M. K. Khalil, S. E. Williams, and H. G. Hawkins, “The Use of Learning and Study Strategies Inventory (LASSI) to Investigate Differences Between Low vs High Academically Performing Medical Students,” Medical Science Educator, vol. 30, no. 1, p. 287, Mar. 2020, doi: 10.1007/s40670-019-00897-w.[11] J. Broadbent, “Academic success is about self-efficacy rather than frequency of use of the learning management system,” Australasian Journal of Educational Technology, vol. 32
Retention Model Based on Factors that Most Influence Student Success,” Journal of the Scholarship of Teaching and Learning, vol. 21, no. 1, Art. no. 1, May 2021, doi: 10.14434/josotl.v21i1.30273.[17] S.S. Whorton, "Academic self-efficacy, academic integration, social integration, and persistence among first-semester community college transfer students at a four-year institution" (Doctoral dissertation, Clemson University), 2009.[18] L. C. Freeman, "Social Network Analysis: Definition and History," Encyclopedia of Psychology, vol. 7., A. E. Kazdin, Ed., New York, NY, US: Oxford University Press, 2000, pp. 350-351.[19] A. Erkan, "Effects of social capital on academic success: A narrative synthesis
. Differences in self- efficacy among women and minorities in stem. Journal of Women and Minorities in Science and Engineering, 21(1), 2015.[20] Francesca Dupuy, Elliot P Douglas, and Paul G Richardson. Isolation, microaggressions, and racism: Black engineers in technology companies. In 2018 ASEE Annual Conference & Exposition, 2018.[21] Ebony O McGee and Danny B Martin. “you would not believe what i have to go through to prove my intel- lectual value!” stereotype management among academically successful black mathematics and engineering students. American Educational Research Journal, 48(6):1347–1389, 2011.[22] Thomas F Pettigrew. Intergroup contact theory. Annual review of psychology, 49(1):65–85, 1998.[23] John F Dovidio
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