as it is.This research is a first step in our analysis of student experiences and outcomes. We have begunby documenting the efforts made by our study institutions to help their Black students to besuccessful. We will continue to interview other key informants as appropriate on our studycampuses as the study progresses. We also plan to interview 80 Black students who are currentlymajoring in or have switched from ME and ECE majors on these campuses to learn if and howthese programs may have impacted them as well as what other factors they credit with theirremaining in or leaving these majors. Our quantitative study will build on the analyses in [1] and[2], among other studies, while focusing on Black students at our study sites. In particular
Paper ID #25003Joyce B. Main is Assistant Professor of Engineering Education at Purdue University. She holds a Ph.D. inLearning, Teaching, and Social Policy from Cornell University, and an Ed.M. in Administration, Planning,and Social Policy from the Harvard Graduate School of Education. c American Society for Engineering Education, 2019 Race, Veteran, and Engineering Identities among Black Male Student VeteransAbstractUsing interviews with seven Black Student Veterans in Engineering (BSVEs) at threepredominantly White institutions (PWIs), we explore how the identities of Black, Male, Veteran,and Engineering student are enacted during their undergraduate engineering experience. Weapproach this study informed by
teaching and learning”, 2000, pp.171-200.[28] E. Wenger, Communities of practice: Learning, meaning, and identity, Cambridge university press; Sep 1999.[29] A. Amin, “Ethnicity and the multicultural city: living with diversity”, Environment and planning A, 34(6):959-80, Jun 2002.[30] GA. Fine and LJ. Van den Scott, “Wispy communities: Transient gatherings and imagined micro-communities”, American Behavioral Scientist, 55(10):1319-35, Oct 2011.[31] SB. Merriam, Qualitative Research: a Guide to Design and Implementation, 2009.[32] N. Valanides, “Analysis of interview data using the constant comparative analysis method” In Using analytical frameworks for classroom research, Routledge, pp. 77-89.[33] C. Gilligan, “Strengthening
purpose of this second coding system was todevelop a simpler and more viable option to assess the sole construct of what engineers do. Itallows the participants conceptions of engineers to be coded into the following categories: Designer: Designing or improving objects or processes, usually portrayed by drawing plans or performing specific parts of the engineering design process, an implied client or public use is intended Technician: Computer or electronic technician portrayed by a person fixing something electronic Design/Create single: Hobbies, crafts, and designs for personal use or making one object for a specific person Tradesman: Carpenters, plumbers, welders, etc. where a person is fixing
schoolopportunities), there are also plans to further improve the video content by adding interviewswith alumni on what companies are seeking in resumes, interviews, etc. and their own stories ofwhat made their employment searches successful. The goal is to add a level of credibility to thelessons by having the students hear messages from professionals in industry who graduated fromValparaiso University engineering programs, and to keep the ESSP content current byhighlighting hiring practices and networking software used in practice.9.0 SummaryThe College of Engineering at X University has developed the ESSP to help students develop thenecessary skills to find excellent jobs in their desired fields of study. The program consists ofstand-alone Blackboard
. Tinkering SE 4 0.87 0.89 Design SE 4 0.90 0.94† Abbreviations: SE = self-efficacy; OE = outcome expectationsChoice Self-Efficacy and Student Major ChangesStudents’ self-reported majors at admission (Figure 1, left column), six weeks into the Fallsemester (Figure 1, center column), and the major they are most likely to pursue (Figure 1, rightcolumn) were analyzed to visualize trends in student majors. Over 71% of all students indicatedtheir major was and would be the same at each of the three time points (n = 219), but there arestill many students who indicate a change in major or a planned change in major (n = 89
approach and the other sectionnot receiving the pedagogy. Formative and summative assessment results of the impactedclasses (two+ in each discipline) should demonstrate the “enhanced student learning andmotivation” with course grades compared to control group or previous course administrations.Additionally, course evaluations, and measurements of cognition, engagement, and motivationwill be determined using the Motivated Strategies for Learning Questionnaires (MSLQ) [24]amended with specifically designed additional items or measures to capture the project'sintervention.During the planning phase for the project, the following criteria were developed for selectingcourses in each discipline for the pilot test implementation of ECP in Spring 2020: 1
reinforce progress, and scaffolded learning with increasing challenges. Further itemssuch as a point system and leaderboards are planned in future work. Gamification has frequentlybeen found to improve learning and engagement [11].)Prior controlled, randomized experiments have shown a 1.21σ improvement in learning onwriting nodal analysis equations and identifying elements in series and parallel in a laboratory-based experiment and a corresponding improvement of 0.91σ in student motivation [3, 4]. Aclassroom-based assessment in Fall 2014 using random assignment to compare this system tocomplete nodal and mesh analysis exercises to using the commercial WileyPLUS system found a0.41σ improvement in that homework score (p < 0.008) [7]. It was also
those who were scheduled to travel but were unable to do so. If requested by thepartner, planned on-campus meetings were shifted to a videoconference format (as were allremaining faculty interviews).B. Tenured/tenure-track faculty demographics in College of Engineering and Applied ScienceDespite multiple programmatic efforts over more than a decade, the demographics of thecollege’s faculty has remained stubbornly unrepresentative of its diversifying student body andthe diversifying pool of individuals who are earning the doctoral degrees in engineering andapplied science typically required for tenure-track faculty positions in the CEAS.1. Gender of facultyAcross all CEAS T/TT ranks, the percentage of women faculty has increased by only 5
considered it. Theproportion of female and male students who had not received encouragement from a facultymember, yet intended to attend graduate school was 26.1% and 20.5%, respectively. Whereas,38.9% and 55.9% of female and male students, respectively, who had been encouraged by one ormore faculty were planning to attend graduate school. These observations indicate a statisticallysignificant increase among male students when encouragement is received (99% confidence), buta statistically significant increase among female students can only be observed with 84%confidence. Figure 4. Graduate school intentions of LCOE students with GPA of 3.0 or above displayed by gender and whether or not faculty encouragement to attend graduate school has been
of sense of belonging. Considering that the essay question was open-ended, it is ofsignificance when students mention one of the interventions in their response. Since the interventionsthemselves are short (both the norms and mindset activities take less than an hour), the researchers weresurprised to see that so many students reflected positively on those activities. What the essay is not measuring,however, is the change in student sense of belonging over the course of the quarter. The researchers plan toconduct future research to investigate this further.Conclusion, Limitations & ChallengesThe norms and mindset interventions designed as part of this research study are of high quality and are easyto embed into an existing course. The
positive impact of socialization for ELC students occurred inInterview C. Both described how socializing can be tiring and straining for busy students,especially those who identify as introverts and need time to recover from extensive interactionwith others. This instance co-occurred with Feedback, as the student suggested havingpurposeful social time planned, such as study groups, in lieu of social time for the sake ofsocializing, such as going to a theme park. These disconfirming examples show that relationshipsare still a chief positive impact of the ELC, when tailored to the unique needs and personalitiesof engineering students [8].Theme II: Resources for Transition This theme is made up of Resources, Mentoring, and Transition to Adulthood
Paper ID #30117Mentoring Among African American Women in the Engineering AcademyJocelyn LaChelle Jackson, University of Michigan Jocelyn Jackson is a doctoral student in engineering education research at the University of Michigan and national chair of the National Society of Black Engineers (NSBE). Her major work includes research in entrepreneurship, organizational leadership and behavior, and strategic planning for NSBE.Dr. Jeremi S London, Virginia Polytechnic Institute and State University Dr. Jeremi London is an Assistant Professor in the Engineering Education Department at Virginia Poly- technic Institute and State
inproximity and relationship. The paper will seek to answer one main guiding research questionand two sub-questions: 1. Does the proximity and relationship with the community partner affect the manifestation of empathy in students on service-learning design projects? a. How is empathy manifesting on service-learning projects? b. What factors contribute to the manifestation of empathy in students working on service-learning design projects?ContextThe EPICS program engages students in long-term partnerships with local, regional and globalcommunity partners [6]. Undergraduate students from all engineering disciplines and othermajors across the university earn academic credit within their respective plans of study
, however, and to conduct analyses and organize results, thefollowing analyses were planned and hypotheses posed:1. Explore potential differences in ESIT and MFQ responses based on gender, age, prior workexperience, political orientation, and religious affiliation, and MFQ differences based onprevious ethics education.2. Hypothesize that students with previous ethics education would receive higher P and N2scores on the ESIT, based on results from [1].3. Hypothesize that students in this sample would receive lower P and N2 scores on the ESITthan those in [1], since the participants in this sample were non-native-English-speakingstudents.4. Hypothesize that students in this study would receive higher N2 scores after completing a one-semester-long
, novelty, and quality in order to evaluate thestudent’s level of design ideation expertise.BackgroundThe phases of engineering design are often taught as having a circular, iterative nature. Anengineering product or process is designed through phases of (i) defining the problem, (ii)brainstorming solutions, (iii) planning a solution, (iv) prototyping, (v) evaluating the solution, andfinally (vi) reflecting for iteration, shown in Figure 1. Figure 1: Simple infographic conveying six phases of engineering design iteratively.In practice, the activities associated with each engineering design phase are highly interdependentand do not simply progress in a neat iterative circle, as implied by common infographics for theengineering design process
undergraduate respondents, the largest portion (26.3%)were from Environmental Engineering Program. Also, our college is unique to have AppliedSciences combined with Engineering, we had 3.5% of the respondents from Physics.7. Future WorkWe plan to continue with additional surveys, and seek responses from broader student body todetermine and rank the behaviors establishing rapport in engineering classrooms. In addition, ourgoal is to further develop the blended faculty professional development and educate our facultyon the behaviors that establish rapport. To understand the real impact on students, we willcontinue to study the instructor behavior, and student feedback correlating the impact of rapporton student resilience and retention in a longitudinal
. She is Chair of the ASEE Long-Range Planning Committee and a member of the Engineering Deans Council as co-chair of the EDC Undergraduate Experience Committee. She is also a member of the Executive Committee for the Global Engineering Deans Council. Carpenter is a past Vice President of Professional Interest Councils for ASEE and past President of WEPAN. Currently she chairs a Pilot Program Ad-Hoc Committee for the Gulf Scholars Program for the National Academies of Science, Engineering and Medicine. She is an ASEE PEV for General Engineering, Dr. Carpenter regularly speaks at the national level on issues related to the success of women in engineering and innovative STEM curricula.Dr. Cindy Waters, Naval Surface
demonstrate that overallknowledge is not diminished when peer instruction is the primary form of learning.IntroductionThe authors, along with many other engineering educators, have been strong proponents ofactive learning. Active, collaborative, cooperative, and problem‐based learning have beendemonstrated repeatedly to be more effective than lecture alone [2]. Students are 1.5 times lesslikely to fail in courses that use active learning [3]. When one of the authors was granted aFulbright Scholar Award to teach a biochemistry course in Uganda, the plan was to reproduceteaching methods used in the United States such as clicker questions, think-pair-share, and teamactivities which would be easy for the students to adopt [4]. However, within the first
/24772[5] G. Zavala and A. Dominguez, “Engineering students’ perception of relevance of physics and mathematics,” in 2016 ASEE Annual Conference & Exposition, New Orleans, LA, pp. 26664.1 – 26664.20, 2016. https://peer.asee.org/26664[6] J. W. Creswell, Educational research: Planning, conducting, and evaluating quantitative and qualitative research, 4th ed., Boston: Pearson, 2011.[7] A. Field, Discovering Statistics Using SPSS, 5th ed., Thousand Oaks, CA: Sage Publications, 2017.[8] OECD, Science Competencies for Tomorrow's World: Volume 1: Analysis, OECD, 2007. Available in https://doi.org/10.1787/9789264040014-en
Marshall Plan scholarship.From 2008 to present, 32 students have participated in research at KTH in Sweden. In theNetherlands, from 2010-2019, 21 students were hosted at the Maastricht University. During theperiod, a total of seventy-four students participated from 2008 to 2018 in programs based inSweden, the Netherlands and Austria, twenty-five in Brazil based programs [44], and overtwenty in Morocco. All programs were modeled after the REU programs funded by the NSF.Toyohashi, Japan - At Toyohashi University of Technology (TUT) research projects for studentswill include areas such as Chemistry, Mechanical Engineering, Computer Science, BiomedicalScience/Engineering, Material Science and Nanotechnology.Beijing, China - A partnership with the
severaliterations take place before reaching the final solution. Each iteration is improved upon based onfeedback from the previous iteration.”“Iterative design is characterized by a process in which the design is refined and improved througha series of multiple iterations. Each iteration, the design is improved incrementally based onfeedback and testing from previous iterations.”“More specifically, the iterative design methodology begins with an initial planning step, whereinthe engineering requirements for a new device are developed and enumerated.”“Essentially, each subsequent stage of the iteration process only occurs after the current stagehas been made successful. This leads to much more efficient development of technologies andensures the final
that encouraged participants to express their thoughts andexperiences freely and openly.The structure of the interview was meticulously designed to evaluate four critical constructs thatare pivotal in understanding students' engagement with data science within the chemicalengineering curriculum [20]. These constructs are: 1. Interest: Participants' enthusiasm and curiosity about data science. 2. Career Aspirations: How participants see data science fitting into their future professional plans. 3. Perceived Value: The importance participants attribute to data science skills in the context of their education and future career in chemical engineering. 4. Self-Efficacy: Participants' confidence in their ability to learn and apply
. This entails raising awareness about the social, economic, andpolitical obstacles faced by women and girls and equipping engineers with the tools to respondcreatively and critically in the dismantling of unjust barriers. (Kantharajah, 2022). In the context of humanitarian engineering and critical consciousness, learning aboutgenerative themes of poverty, sexual violence against girls, and other systemic inequities allowstudents to think about how they would plan, create, and design technologies to solve thoseproblems (Kantharajah, 2022). Encouraging students to learn about and reflect on theseinequities fosters critical reflection and motivates them to envision their roles in driving positivechange through their agency and commitment to
lateral transfers, which made this group underrepresented. Having a small samplesize reduced the number of ego networks that could be analyzed and made it difficult to make acomparison of the social networks between the two types of transfer students. In addition, therewas a lack of specific subpopulations, with respect to lateral and vertical transfer students andwhether they were either in-state or out-of-state transfers. This might have skewed the egonetworks by not treating each subpopulation as an entity on its own. These limitations can befurther addressed with more individualized survey questions and in the next round of dataanalysis.For the next phase of this study we plan to separate the different subpopulations of transferstudents and
consistently lower than thosereported by default. Such discrepancy could be capturing the plethora of other factors that areknown to influence engineering identity and sense of belonging [17].Finally, our analysis is only descriptive and not causal in nature. We plan to implementalternative methods to explore the potential of causality, as well as dive deeper into thedescriptions of students’ experiences in the course through qualitative interviews. Other futureanalysis of this data will include a breakdown of these trends by subgroups, paying specialattention to those with marginalized identities. While sample sizes are limited at this point, thesurvey remains open to strengthen such numbers.ConclusionIn this study we conducted a retrospective
1.315and 3.7 (average=2.77); two students withdrew. After one semester, nine of the students are stillenrolled in their original major. One of the ten students did not return.9. Implications and Future WorkLooking ahead, we aim to integrate this course into the standard first-semester curriculum acrossthe involved engineering departments. This goal will require careful coordination and facultysupport to ensure curriculum alignment among the three programs and foster a collaborativeteaching environment. For summer 2024, plans are underway to host two course sessions,expand faculty participation in teaching the course, and recruit incoming sophomores. Based oninitial feedback, we are refining some aspects of the curricular activities to enhance
to make engineering education more inclusive in different ways.For instance, Rooney (2020) developed a workshop that helped faculty work through topics suchas implicit bias, growth mindset, interpersonal and teamwork skills, and other evidence-basedpractices that can promote inclusivity. Further, Dewsbury & Brame (2019) developed aninteractive guide that would help instructors develop inclusive teaching practices. They emphasizethe role of instructor empathy and self-awareness as well as the kinds of classroom climates theycreate. Relatedly, Hunter et al. (2010) lay out a professional development plan for lab instructionthat emphasizes diversity, equity, and inclusion in STEM. They focus on diversity in terms oflearning styles and
,when asked about other identifying characteristics of engineers, participants talked aboutsupplementary connections and experiences that further defined them as engineers.The findings from this study lead us to believe that students move through a set of learning andexperience milestones throughout their academic career, initiated and supplemented by socialconnections. As students find themselves going in a different direction than originally planned,they compensate for a lack of experience in one area with additional experience or interpersonalconnections in another. Students’ perceptions of success stemmed from a culmination ofexperiences and connections that are valued by them as individuals. While many studentsfollowed a prescribed