, mobile, and global economy, STEM skills areincreasingly important. They are key to stabilizing and rebuilding our middle class, as STEMjobs generally provide higher wages and have above average job growth [1]. There is, however, agrowing divide between those who can and cannot engage. Underrepresented minorities, women,first generation students, and low socio-economic status (SES) students still generally havedisproportionately lower engagement and higher attrition in STEM fields. This is critical to bothequity and our competitive advantage in the United States [2].These challenges are compounded in many communities in the United States, particularly theRust Belt or deindustrialized Midwest, because they struggle more than others to attract
workshops that focus on technical aspects of the projectwork would be helpful.1.0 IntroductionGraduate education in engineering has the goal of developing future engineers with strongtechnical and human interaction skills to succeed in the workplace. Yet, employers find thatgraduates are lacking skills in leadership, collaboration, communication, and critical thinking [1].Likewise, graduate students often experience limited opportunities to develop these skills [2]. Agoal of our NSF Innovations in Graduate Education project, entitled Graduate Education inCyber-Physical Systems Engineering, is to provide support for graduate students to become moreeffective leaders, communicators, and contributors in a collaborative interdisciplinary team.These
. ©American Society for Engineering Education, 2023 Sketchtivity, an Intelligent Sketch Tutoring Software: Broadening Applications and ImpactMotivation and BackgroundSketching is an essential skill for engineers. Engineering students develop problem representationand problem-solving skills in part through sketching[1, 2]. Communication with fellow engineersand designers depends on the ability to share ideas through sketching [3]. Sketching is importantfor problem formulation as designers create representations of a problem for problem scoping andcommunication [4]. Idea fluency and idea generation as measures of design creativity aresupported through sketching [5, 6]. Sketching is also an effective approach for
curated thelesson plan content to directly relate to their specific context, in collaboration with each other and ourresearch team.We built the curriculum leveraging students’ existing conceptions and misconceptions about AI from priorwork while testing the feasibility of addressing AI learning objectives, as well the AI4K12’s Five Big Ideas,in the broader context of middle school science, technology, engineering, mathematics, and computing(STEM+C) education. Our lessons were scaffolded using the iterative machine learning developmentprocess: 1) data collection and preparation; 2) selecting and training the model; 3) evaluating the models’accuracy; 4) tuning model parameters to improve performance. Each stage of the development processconstituted
each. Thescholars were selected from a pool of applicants based on academic talent and financial need. Sixnew scholars replaced the ones who left, with a current total of 32 scholars in the program. Currentscholars identify as 21 male, 11 female, 18 white, 8 Hispanic, 1 Black, and 5 Asian. Programnumbers mirror similar enrollment trends to the College with the following exceptions: higherfemale and students of color enrolled. The first cohort of sixteen scholars have completed sevensemesters at the university and the second cohort of sixteen scholars have completed five semestersat the university. When retention percentages are compared to the general population in the Collegeof Engineering (includes full-time and part-time students; data
for Research on Undergraduate Education at the University of Iowa. His research uses a social psychological lens to explore key issues in higher education, including student success, diversity and equity, admissions, rankings, and quantitative research methodology. ©American Society for Engineering Education, 2023 Sociotechnical systems perspective of underrepresented minority student success at a predominantly white institution Arunkumar Pennathur1*, Priyadarshini Pennathur1, Emily Blosser2, Nicholas Bowman3 1 Department of Industrial, Manufacturing and Systems Engineering, University of Texas at El Paso 2 Department
from China. Fan received her MS in Elementary Education Science and a graduate certificate in Curriculum Instruction.Dr. Lisa Y. Flores, University of Missouri, Columbia Lisa Y. Flores, Ph.D. is a Professor of Counseling Psychology at the University of Missouri. She has expertise in the career development of Latino/as and Latino/a immigrant issues and has 80 peer reviewed journal publications, 19 book chapters, and 1 co-e ©American Society for Engineering Education, 2023 Student perceptions of confidence in learning and teaching before and after teaching improvementsAs part of an overall research program investigating the impact of changes in teachingstrategies on
scholarships to community college students at IVC preparing totransfer to a 4-year institution (i.e., UCI) and to those who transfer into a declared engineeringmajor at UCI. Thus, the scholarship recipients can receive scholarships for four years acrosstheir tenures at IVC and at UCI. In addition, any unclaimed scholarships at UCI are offered totransfer students from other community colleges.Based on Tinto’s model of student retention [4], the S-STEM program aims to enhance students’access, retention, and success by ensuring that students are academically and socially connectedand integrated [5] through co-curricular activities [6]. Figure 1 highlights program activitiesprovided to scholarship students throughout their tenure in the program. During
different sources (e.g., 57% Pell Grants and 46% Federal loans). In addition to that, 75% ofall students had to work part- or full-time to cover their educational expenses. The School ofEngineering (SoE) is currently the second-largest major in terms of student enrollment (5.3% ofthe total campus student population; 1394 total in 20202). Over the past ten years, engineeringenrollment has steadily increased with a recent drop starting in Fall 2019. However, thedemographics of the first-time freshman (noted as 1st Freshman in the following tables) and newundergraduate transfer students present concerning trends. Although there is a consistent increasein enrollment of first-time Hispanic freshmen (see Tables 1 and 2), there is a significantly
teachers found the experience to bevaluable and listed the people and the research environment as the two most impactful areas of the program.This paper will further discuss the specifics of this novel REU/RET program as well as the outcomes.IntroductionAn REU/RET Site project funded by NSF DMR program has provided research experiences for 14 REUand 6 RET participants in Chemical Engineering, Mechanical Engineering, Biomedical Engineering,Chemistry & Chemical Biology Laboratories of Stevens. 6 REUs and 2 RETs participated virtually the firstyear due to COVID-19 and 8 REUs and 4 RETs participated in-person the second year.The goals of the REU/RET program were four-fold: 1. Create a vibrant research environment for allparticipants that offers
Undergraduate Curricular Complexity for Engineering Student Success (SUCCESS).These activities included data collection, data verification, and drafting an R package to calculatethe curricular complexity metrics. IntroductionStudying pathways into and out of engineering is a classic area of research in engineeringeducation, with studies highlighting various factors that influence a student's decision to pursuethe associated major, stay and complete the degree, or leave; these include personal, social, andinstitutional factors [1]–[3]. With over one million student records, MIDFIELD has been awealth of information for researchers interested in studying these engineering curricularpathways [4]. It is composed of
concretes and incorporation of wastes and c ©American Society for Engineering Education, 2023 A PRELIMINARY ANALYSIS OF IDENTITY DEVELOPMENT IN THE FIGURED WORLDS OF HIGH ACHIEVING, LOW INCOME ENGINEERING STUDENTSBackground The ongoing lack of diversity in engineering fields has been described as both: a) acritical issue with a detrimental impact on the United States’ ability to compete with globalinnovation [1] and b) a systemic issue that excludes certain groups of people from opportunitiesfor economic mobility and job security [2]. Historically excluded groups, including women,Black/African Americans, Latino/Hispanic Americans, and economically disadvantagedindividuals, continue to be in
preliminaryresults led to the hypothesis that students with weak debugging skills are mainly due the isolationprocess. This hypothesis will be tested in a future experiment. Results from such an experimentwill be significant to those who are designing intervention strategies to integrate computationalthinking in science and engineering curricula.BackgroundIn STEM education, computational thinking (CT) has become a critical component in preparingstudents for the technical workforce [1]. Computation is fundamental to science because itrenders rich contexts for solving complex problems in the real world. The overall goal of thisproject is to equip practitioners with the ability to enhance students’ computational skills inSTEM courses, especially in
taught in entry-level undergraduatecourses that help students understand the fundamentals in several fields of engineering. SinceFBDs are frequently used in most introductory engineering courses such as physics and statics,where there can be hundreds of students enrolled, receiving effective feedback becomes an issue.In addition to feedback, grading becomes more of a burden on the instructor due to the vastnumber of students in these entry level courses. As a result of this burden left on the instructor,many resort to web-based homework systems to handle grading and provide feedback forstudents without relying on the instructor for it [1].BackgroundThe issue this research project aimed to resolve was a student’s ability to properly sketch
course has shown promise in aidingstudents likely to struggle in the course by enhancing their conceptual understanding of topicsrelated to DC circuit analysis [1]. As grading of writing samples and providing personalizedfeedback can be time-intensive, automating the evaluation and feedback processes through use ofemerging techniques in natural language processing (NLP) could open the door for morewidespread use of such writing exercises across STEM courses, thus benefiting students in mostneed of assistance.In this paper, the development and initial testing of two web-based writing activities that leveragea basic NLP technique to probe student writing related to DC circuits are described. The firstwriting exercise has students describe what
Professor in the Department of Engineering Education at the University at Buffalo, SUNY. His lab focuses on engineering design, advancing research methods, and technology innovations to support learning in complex domains. Major research strands include: (1) analyzing how expertise develops in engineering design across the continuum from novice pre-college students to prac- ticing engineers, (2) advancing engineering design research by integrating new theoretical or analytical frameworks (e.g., from data science or complexity science) and (3) conducting design-based research to develop scaffolding tools for supporting the learning of complex skills like design. He is the Division Chair Elect for the Design in Engineering
in coordination. The instructors, goals, and outcomes of each course aredistinct, but the courses are connected by a science-focused project that is developed through anactive collaboration with a community partner. Over the past three years, we have conducted pre-and post-testing of 571 students at a primarily undergraduate institution in 30 courses todetermine whether students who completed a course-based CAB project experienced growth inscience literacy.Among the participating courses are: Database Systems (6 sections), Software Engineering (6sections), Electronics (1 section), Environmental & Biotechnology Systems (1 section), andFundamentals of (Civil) Engineering Design (1 section). Paired sample t-tests determined thatstudents
of inferior educationalopportunities through organizing and activism in the U.S. Southwest primarily [1-3], educationaloppression and school failure for Latinos/as/xs has been marked by institutional processes thathave led to detrimental outcomes – particularly deficit thinking [4-6]. Even though deficitthinking has not been widely explored in engineering education research, there is a growing pushfor asset-based perspectives [7-9].Despite the resistance of the Mexican and Mexican American communitie in the U.S. Southwest(one of the areas with the largest proportion of Latino/a/s students) against unfavorable policiesthat have negatively impacted their educational attainment, the borderlands continue to have “thelongest and most pronounced
the Transfer Student Pathway: Findings from an S-STEM-Enabled PartnershipBuilding partnerships between community colleges and four-year institutions has been identifiedas a cost-effective strategy for academically talented low-income students to earn a bachelor’sdegree [1]. What often happens, however, is that the onus is placed on the community college tosupport students through the transfer pathway with much less engagement by the four-yearinstitution during this process [2]. Funded through the National Science Foundation’s (NSF)Scholarships in Science, Technology, Engineering, and Mathematics Program (S-STEM)program, the Virginia Tech Network for Engineering Transfer Students (VT-NETS) project hasfocused on improving
challenged this assumption and forced us to recognize obstacles constraining theMCC-UMKC transfer partnership. To gain systematic insight into these obstacles, the KCUREprogram’s external evaluator interviewed MCC and UMKC project stakeholders. The purpose ofthis poster paper is to identify the obstacles that have shaped, at times tacitly, our MCC-UMKCengineering transfer partnership. In doing so, we hope to encourage other two- and four-yearengineering education transfer partners to pause, name, and creatively seeks ways to addressobstacles to their engineering transfer pathways.Contextual BackgroundInitiated in 2020, our S-STEM program links two Midwestern area higher education institutions:MCC and UMKC. Program objectives are to: (1) increase the
, therelative levels of difficulty as seen in retrospect, how educative they are to us, and the potentialfor others to make use of the activity. This paper summarizes these activities in each of the fourareas of change. We then describe our audit process and briefly present the results of theseactivities.Project BackgroundThe theoretical background that guided us throughout the project remains unchanged; hence, thissection combines content from our previous ASEE NSF Grantees papers [1] - [5] to summarizeour project background.Identity influences whom people think they are, what they think they can do and be, and whereand with whom they think they belong [6] - [9]. People’s identity shapes the experiences theyembrace; reciprocally, those experiences
total of 14,644 jobsat data centers themselves, with 45,290 additional positions with affiliated industries (e.g.,consulting, construction)[1]. The jobs created as a result of these investments will offer a highaverage salary at entry levels ($62,500), which compares favorably to starting salaries for collegegraduates with a 4-year degree in Virginia [2][3].However, despite the high wages associated with these jobs, institutionalized pathways to datacenter careers do not exist. In 2020, 50% of data centers report “significant difficulty findingqualified candidates for open jobs,” up from 38% in 2018 [4]. Employers report that the sector islargely invisible, with low levels of public familiarity with data center careers. LowUnderrepresented
expertise in partnerships providing benefits to boththe program and the partner. Examples of the benefits include scholarships, instructorrecruitment, work and learn programs, and national dissemination. The NCNGM has developedresources and best practices for fostering partnerships for community college advancedmanufacturing programs, including unexpected collaborators.According to a study by Deloitte and the Manufacturing Institute [1], “Over the next decade, 4million manufacturing jobs will likely be needed, and 2.1 million are expected to go unfilled ifwe do not inspire more people to pursue modern manufacturing careers.” The NCNGM and itspartners are working together to address the nation’s need for a pipeline of students equippedwith the
the College of Education. Prior to this role, Dr. Fer- guson was a certified teacher in the state of Texas with certifications in Elementary Education, Middle School Science, and High School Science.Christopher J Winkler, Rowan UniversityKara P. IevaMarjorie Blicharz, Rowan UniversityTheresa E. CannAshley Elmes ©American Society for Engineering Education, 2023 Can you See Yourself Here? - Broadening Participation in STEM Through Virtual Reality Career Exploration The challenges of increasing participation in STEM for underrepresented groups has beenan ongoing area of research, and these challenges are augmented in rural school districts [1].Rural school districts make up over 50
group meetings, we develop deep, contextualized, andnuanced understandings about how diverse SVSM participate, persist, and produce professionalidentities in engineering.Research plan work is guided by two research questions (RQ) and sub-questions: 1. How do SVSM participate and persist in undergraduate engineering education? a. How do personal and professional assets combine to create SVSM community cultural wealth in engineering? b. How do SVSM negotiate educational structures to participate and persist in engineering? 2. During their undergraduate engineering education, how do SVSM produce engineering identities? a. How do SVSM experience transitions
grant, on which this supplementalfunding proposal is based, is to characterize and model the phenomenon of Master’s-leveldeparture from the engineering PhD from the perspectives of departers, questioners, and faculty.This transformative research explicitly addresses Master’s-level departure as a subcategory ofattrition. The research aims this study seeks to address are: Aim 1: Characterize common narratives of Master’s-level departure and model departure decisions over time. Broad questions include: How do narratives of attrition vary by characteristic (e.g., stage of graduate study at time of departure, gender, race)? How do factors of attrition from higher education literature manifest in an engineering context
Brown students’ access to engineering education and careers. This executive summarypresents insights about the second year of the study and is organized around threetopics—project overview, year 2 research activity summary, and looking ahead to year 3.MOTIVATIONBroadening participation efforts aims to transform those who can access opportunities toparticipate in engineering by targeting individuals historically excluded from it. However, Blackand Brown students’ participation in engineering at all levels remains stifled [1]–[5]; theexclusionary culture and practices ingrained in engineering is part of the reason for this persistenttrend [6]–[9]. As a result, there is a growing demand for scholarship to advance ourunderstanding of how to enact
have long-term,impactful benefits. However, the culture of engineering in higher education has been describedas a culture where engineering students experience higher stress, diminished mental health, andlower retention rates when compared to students in other disciplines [1-3]. This culture of stressis detrimental to mental health and wellness and is thus a critical space for change efforts. Toaddress this challenge, this project seeks to answer the following question: How can wedismantle a culture of high stress in engineering and instead foster a culture that promoteswellness?To answer this question, the presented project uses a mixed-methods approach to examine thetime-evolution of engineering stress culture, educators' perceptions of the
observe the sequential and cumulative impact of course-taking on studentsevolving beliefs about their competency as engineers using Godwin’s scale [1]. We observe little impactof personalized feedback on students’ engineering identity, although we do observe a slight increase insubjective beliefs about engineering identity over time, echoing prior work that suggests that engineeringidentity may emerge later in students’ academic trajectories [2]Related LiteratureThe Influence of Engineering Identity (EI)Our work builds on prior research that attempts to map the emergence and influence of engineeringrelated identity beliefs on students’ persistence and success in undergraduate engineering programs [3-7].Godwin’s [1] proposed measure of engineering