identifying as URM,we sought to answer the following research question: What impact does use of the career-forward curriculum have on self-efficacy, identity as an engineer and commitment to anengineering career, and in particular, for students identifying as female or URM?For our purposes it is important to clearly define how the terms persistence and commitment areconceptualized and measured, both of which are consistent with the Mediation Model ofResearch Experience (MMRE) [5], which served as the theoretical framework. Commitment isdefined as the student’s willingness to persist towards a specific long-term goal, in this case anengineering career and was measured as an outcome variable through a set of items that loadeddirectly to the construct
examine the resistance toadvocacy efforts, which hinders increased representation, participation, and belonging inengineering. We did not initially plan to explain why individuals resist advocacy efforts, yet ourongoing research into self-efficacy and self-advocacy around HC messages in engineeringpositioned us to examine individuals’ resistance to advocacy. Our previous HC research hasfocused on women [9], undergraduate and graduate students [7], and faculty members [17] inengineering who utilize their self-efficacy to understand and cope with negative HC messages.Since this past research focused on individuals’ strategies, we have not considered theexperiences of individuals who are resistant to self-advocacy, or advocacy for others
students that impact their academic success. Noncognitive factors can include academicbehaviors, academic perseverance, academic mindsets, learning strategies, and social skills [5].The PMI is administered at the University of Illinois Chicago to first year students prior tostarting their first semester (prematriculation) and has been found to correlate to academicsuccess of students [4]. Questions related to Time Management, Self-Efficacy, Sense ofBelonging, Help Seeking and Managing Stress were adapted to survey the graduate students. Inaddition, mentoring by the academic supervisor is also important for PhD graduate students. Inthis case, measures in effective mentoring of faculty were adapted to ask about the mentoring byacademic supervisors
have completed thefirst two cohorts. Cohort 3 is actively participating in yeartwo, and Cohort 4 is in year one. Each subsequent cohortbuilds on the lessons learned from the prior, refining the 15program's impact. 15This map demonstrates the distribution of the participantsI’ve just mentioned 16 Evaluation • Iterative improvements between sessions based on participant feedback • Duke Social Science Research Institute • Increased knowledge and awareness of the impact of systemic inequities on computing environments • Increased self-efficacy to identify factors
workforce is at stake, it is criticallyimportant to comprehensively assess undergraduate engineering student experiences to betterunderstand what is happening on engineering campuses [5] for maintaining a sustainableengagement continuum [6].Over that past several decades, there have been numerous studies on persistence in engineeringattempting to better understand why students leave [7-10]. Usually, the factors that influencestudent persistence in engineering fall into several categories: race and gender, unwelcomingacademic climate, conceptual understanding in core courses, self-efficacy, interest and careergoals, and access to social capital. While the impact of both academic and non-academic factorshas been known to contribute to students
beneficial because they help you:-make strategic decisions, plan programming, and identify gaps in the programming,-clarify and quickly communicate your plan,-demonstrate to stakeholders you have thought things through, and-make the case for funding. 4When working in the area of DEI in particular, developing a clear plan for yourinitiative and identifying intended outcomes can hold you accountable to yourvision for change and help you demonstrate that you’re doing what you hoped.For example, say you have a Bridge program for first generation students inengineering. Hopefully you have an intention behind this program, likely toimprove students self-efficacy and/or
that exist in K-16 education: (1) the underrepresentation of Blacks and Hispanicsreceiving science and engineering bachelor’s degrees, and (2) disparities in K-12 STEMeducation and student achievement among different demographic and socioeconomic groups andgeographic regions (National Science Foundation, 2022).The challenge of increasing the number of students interested in pursuing STEM, particularlystudents from excluded identities, is complex and multifaceted, and includes both externalfactors such as access to experiences and educational opportunities, and intrinsic psychologicalfactors such as identity, self-efficacy, sense of belonging and value perception (Allen, 2022;Anderson & Ward, 2014; Collins, 2018; Kricorian, Seu, Lopez
Publications where the primary focus of Publications where the primary focus of the the research was K-12 students, faculty, research was undergraduate or graduate students practicing clinicians or non-college or university students Research was conducted in the United States or Research specific to a university outside of the in Canada United States or Canada Focus of publication is empathy, component of Focus of publication is not empathy, and if it empathy described by the framework, or which includes empathy is more about measuring mention how to develop/foster/imbue empathy empathy than its development or learning Include
participants being on campus, a week one activity surveyconducted at the end of the first week; a week two activity survey conducted at theclosing session; and a post focus group that occurred within the last 24-48 hours of theparticipants being on campus. The week one and week two activity surveys are meant tocapture the interactive hands-on and informational activities students experience duringthe first and second weeks.Additionally, pre and post-surveys use measures following the F-PIPES (Fit of PersonalInterests and Perceptions of Engineering) [8] instrument, which measures perceptions ofengineering. The STEM-CIS (STEM Career Interest Survey) [9] tool measures self-efficacy and interest in STEM classes and careers. The post-surveys include
effectiveness within four categories, learning achievement, self-efficacy, satisfaction, and climate. Compared to traditional TVLE where the participants are allstudents; our participants range from pre-college to college students, faculty, and staff. AlthoughTVLE was created with students’ learning in mind, the framework applies to all educationalvirtual environments where learning is an integral outcome part of programming.ParticipantsThe research reflects the experiences of four practitioners at the University of Cincinnati Collegeof Engineering and Applied Science (CEAS), a historically white tier-1 research institution. Thepractitioners voluntarily agreed to participate in this research study and to have their recordedexperiences included as part
HCperpetuates and normalizes dominant narratives in schooling through the veil of professionalism,standards, and norms that are structurally supported and sustained through individuals, socialgroups, or systems to maintain a status quo. Villanueva et al. [1] created a validated instrument to explore the perceptions of engineeringundergraduate students, graduate students, and faculty about HC, how it is defined, received, andresponded to. As explained in prior work a validated instrument (UPHEME) [1] to measure theHC in engineering was created. With this instrument, four factors were identified: HiddenCurriculum Awareness (HCA) which is a factor by which information being communicated isdiscerned; Self-efficacy (SE) that serves as an igniter towards
Attrition Reason Women Leave Engineering [15, p. 7] Input Output 1. Lack of self-confidence and engineering self-efficacy Black Box[10] 2. Lack of pre-college experience and knowledge in engineering 3. Curricular focus, pedagogy, and climate in engineering 4. Lack of female peers and role models 5. Gender and societal issues Dropout
correlated with a higher likelihood of remaining in a STEM program. Riconscentediscusses how students with a robust STEM identity tend to have a clearer sense of purpose,motivation, and self-efficacy within their chosen field, making them more likely to persist(2013). Additionally, studies emphasize the importance of fostering a positive STEM identity,especially among underrepresented minority students, as it can counteract stereotypes and booststudents' resilience in the face of challenges (Cheryan et al. 2017).Belongingness is another critical aspect. Research finds that students who feel like they belong intheir STEM community are more likely to remain engaged and persist in their programs (Good etal. 2012). Similarly, Walton and Cohen (2007
–something also mentioned frequently in the survey responses– which is arguably the most powerful reason to avoid something. 16 Preliminary Takeaways Pull factors • Women tend to pursue engineering when they experience positive feelings about their abilities (self-efficacy) and have positive role-models and programs that foster their individual growth Push factors • Women tend to struggle with their choice to pursue engineering when they feel like family members are not supportive or that engineering may hinder their future family goals
an after-school program, engage parents, and provide gender and ethnic-matchedmentors and role models in hopes to positively impact participant self-efficacy (Mitcham et al., 2012).With buy-in from the principal, solicitation emails were provided to principals about the Algebra by 7thGrade. The university-based team developed recruitment activities that ranged from attending introductionof teacher nights, attending school-wide math nights already planned, and pizza dinners for targetedfamilies. The top three schools were invited to participate in the inaugural Ab7G. They were given firstpriority for enrollment and each school was given 10 seats until the priority deadline. After the priority
challenging opportunities for professional growth. Effective mentoringengagements must be within the limits of healthy mentoring relationship, defined as functionalmentoring [18]. Benefits of functional mentoring to mentees include guidance, support,feedback, and enhanced networks. The benefits from the guidance provided by mentors includeacademic guidance, career development, personal guidance, and overall aid in the socializationof the graduate student. Mentors’ correct feedback can benefit mentees by helping them survivegraduate school, promoting the professional and career development of mentee, and providingthe right directions. A longitudinal study on the effect of mentorship on the researchproductivity, career commitment, and self-efficacy of
counselling and awareness, learning centers, workshops and seminars, academicadvising, financial support, and curriculum and instructional reform [9]. Research on the effect of SIPs suggests that many help improve academic preparation,self-efficacy, STEM identity, sense of belonging, and ultimately persistence in STEM [10]–[12].While investment in these focused interventions is important for mitigating the effects ofsystemic inequity within education and society more broadly, the structure of higher educationinstitutions contributes to a patchwork of student support programs that are difficult to sustainand often operate in parallel [13], [14]. The lack of consistent coordination and collaborationacross efforts can lead to redundancies and gaps
thebasics of engineering computational thinking [15] [16] [17]. Other institutions use a direct-to-major admission strategy and vary in how much computing is introduced in the first year.Regardless of admission type, white males continue to receive most of the engineering degrees inthe United States [18]. Factors including technology access, pre-university course access,classroom dynamics, societal stereotypes, social support, cultural relevancy, academic advising,and self-efficacy affect how women and underrepresented minorities prepare for and experiencethe first-year engineering classroom [5] [19] [20] [21] [22] [23] [24]. Computational thinkinginteracts with these existing factors.The participants that we discuss in detail in the Results and
Downtown) were an interdisciplinary major (Biochemistry and Molecular Biology) and anew chemistry concentration (Medicinal Chemistry). Although new facilities had been allocatedto the new Engineering Department, these facilities did not have furniture or equipment. Theywere an empty canvas upon which to build the new department. Regarding the curriculum, therewere two first year course titles on the books – EGR 111 (Introduction to Engineering Thinkingand Problem Solving) and EGR 112 (Introduction to Engineering Measurement and Analysis).No operating budget existed for the new department, so five-year planning started as thefounding chair was on site (fall 2017). The new Department of Engineering resided and stillresides within the School of Arts