instrument using Rasch/Guttman Scenarios Kelsey Scalaro, Allison Godwin, Justin Hess, Nicholas Fila, Corey SchimpfIntroductionThis work-in-progress method paper presents initial efforts toward developing a scenario-basedinstrument to measure empathy in engineering design. Empathy is a multifaceted phenomenonthat involves seeking to understand another’s thoughts and relating to another’s emotions [1],[2], [3] and has been conceptualized as a learnable skill that can be developed and embedded indesign pedagogy [4], [5]. Empathy is increasingly recognized as an important part of engineeringeducation, particularly in design, as it can enable one to effectively meet user needs and canprovide the “spark of human concern” for users [6], [7], [8
. ©American Society for Engineering Education, 2025 WIP: Exploring Qualifying Exam Experiences in Engineering Doctoral Students using Well-Being ConstructsIntroductionThis work-in-progress research paper outlines the pilot testing of interview protocols aimed atexamining the qualifying exam (QE) experiences of engineering doctoral students (EDS) usingthe PERMA-V framework for well-being. The QE is a crucial milestone towards earning adoctoral degree and serves as the entry point to both candidacy status and increasing researchindependence [1], [2]. Despite their importance, QEs are an understudied element in doctoralprograms especially for underrepresented populations [3]. However, the gatekeeping nature ofQEs [4], [5] carries
connection, students gained valuable networkingopportunities and access to industry professionals, enabling discussions on career pathways, jobexpectations, and strategies for success in the field.Piloted in Fall 2024, the program was open to all undergraduate students. It followed a mentorcircle format, with groups of two to four students paired with two industry mentors. Thesegroups met monthly for 1 to 1.5 hours, either in person or remotely, based on the preferences ofeach circle. Mentor circle assignments were made based on availability, facilitated by BENGfaculty and representatives from the Arkansas Academy of Biological and AgriculturalEngineering.Participant demographics, program engagement, mentor-mentee relationship quality, andprogram
Formation in Engineering EducationMotivationsEngineering education has a critical task of preparing future professionals with technicalknowledge and skills in multiple domains that are necessary to solve society’s complex, ill-defined problems [1]. In response to these needs, interdisciplinary engineering education hasbeen expanding both at the undergraduate [2], [3] and (more recently) at the graduate level [4],[5]. However, faculty and higher education leaders are often charged with creatinginterdisciplinary structures for their work and their students’ work on an ad hoc basis. This taskis made more difficult by having an incomplete understanding of how interdisciplinary identitiesare developed and sustained. As we consider how to transform
i iii (b) (a) (b) Figure 1. SolidWorks rendering of the Figure 2. SolidWorks rendering of the handheld tool (a), and exposed internal internal structure with dowel pin (a) features of manufactured parts (b). and manufactured internal structure (b). Table 1. Outline of components and design updates for the handheld tool. Component Label Qty Design Updates Handle housing i 4 Updated to match the redesigned internal structure
project solution.IntroductionA recent pilot study by Jensen [1] indicated the effectiveness of a collaborative educationalstrategy introducing first year students to systems thinking, social responsibility andsustainability in civil and architectural engineering projects. The first-year term project wasmotivated by program faculty concern that upper level students lacked confidence during theideation phase of their projects. This was noted when students acted as development teams oncomprehensive, collaborative projects such as the culminating major design experience. Inparticular, the steps involving gathering community-based information and prioritizing goals waschallenging for the students. This paper expands on the pilot study in assessing the
analyzed the data using Spearman'scorrelation and XGBoost's feature importance values. Correlational analysis showed that threeaspects of FossilSketch's activities showed a significant relationship with students' sentimentstoward learning more about micropaleontology: 1) Morphotype Matching Mini-Game AttemptCount (p=0.001), 2) Ostracod Orientation Mini-Game Average Score (p=0.041), and 3) OstracodOutline Mini-Game Average Score (p=0.035). The Total Average Score per Attempt of anActivity had the highest value in XGBoost's list of feature importance values while negativelycorrelated with students' sentiments. Our analysis showed that students participating in activitiesmore frequently had more positive sentiments towards learning more about
increasing autonomy in projects ifincluded in the third year. The methods utilized in this project need adjustment to better fit studentexpectations and engage a broader subset of students. Future research could build on this work to explorethe long-term effects on student outcomes and the broader impact on participation in the I&E ecosystem.1. IntroductionThe integration of entrepreneurial thinking into engineering education has long been employed as a meansof fostering innovation, enhancing career readiness, and equipping students with the interdisciplinaryskills needed to address complex industrial challenges (Yu et al., 2024). The Accreditation Board forEngineering and Technology (ABET) echoes the need for such skills by including teamwork
positionsus to pursue additional funding for long-term program sustainability. Our overarching goal is tocreate a strong talent pipeline of skilled professionals ready to meet the dynamic demands of theoffshore wind industry. This integrated approach not only increases student awareness andinterest but also improves the overall quality of education and training, supporting sustainablegrowth and expertise in renewable energy.IntroductionThe Offshore Wind Training Institute (OWTI) [1] awarded a grant to the Principal Investigators(PIs) at Farmingdale State College to address the emerging workforce needs in the offshore windindustry. This initiative builds upon prior foundational efforts to establish wind energy educationand training programs on campus
: Naval Engineer degree - Massachusetts Institute of Technology (MIT), MS in Mechanical Engineering - MIT, and MS in Ocean Systems Management - MIT. Energy Engineering and Mechanical Engineering Technology BS from Rochester Institute of Technology. Career: 1. Commander, United States Navy, Submarine and Engineering Duty Officer (Retired 2008). 2. Manufacturing Operations Manager and Continuous Improvement (Through 2017) Engineer. 3. Mechanical Engineering Technology Professor (2018 to Present). Licenses: Six-Sigma Blackbelt License from the American Society for Quality, PE in Mechanical Engineering, Department of Energy (DOE) Certified Nuclear Engineer. North American Board of Certified Energy Professionals (NABCEP
practices assessment. Comparing the types of teachingpractice assessments, we identified that self-reporting teaching inventories offer a low-resource(personnel and time) alternative to assess teaching practices through the lens of the instructor.Ultimately, this study leveraged existing research on STEM teaching practice assessment tools todevelop one that furthers the integration of EM in engineering education.Introduction In today’s world, the continuous advancement of society’s needs and technology has ledto calls for engineers to possess more than just technical engineering skills. They must haveskills that better prepare them for serving society, such as cultural competency [1] andcommunication skills [2] along with an understanding
profession. Previous research has explored the use of artifact elicitation as a qualitative researchmethod in engineering education, building on the principles of photo elicitation, where visualprompts are used to evoke more profound, reflective responses [1]. This method allows for morecomprehensive insights than traditional semi-structured interviews, connecting participants'creations to their personal experiences. Artifact elicitation, similar to informational interviews,enables students to connect their theoretical knowledge to real-world contexts. This approachcould provide a framework for understanding how student interactions, such as informationalinterviews, might elicit more profound reflections and personal insights. Biases
, hardware security, and energy-efficient computing. ©American Society for Engineering Education, 2025 RET: Acquisition and Retainment of Semiconductor Knowledge among K-12 STEM TeachersIntroductionThe semiconductor industry has played a vital role in driving economic growth and technologicaladvancement. As an essential component of electronic devices, semiconductors power a widerange of applications, including computers, cellphones, communication systems, healthcare,transportation, and countless other sectors [1], [2]. Developing a skilled semiconductor workforceis essential, and K-14 educators are pivotal in motivating and preparing students for careers inmicroelectronics [3]. However
, administers a Research Experiences for Undergraduates (REU) site focused onComputational Sciences and Engineering. This program provides research opportunities to eightundergraduate students annually, spanning a three-year period. The positive impact of suchundergraduate research on student development and academic growth has been pointed out byseveral studies[1]-[3].The Houston-Galveston-Gulf Coast region, a hub for major industries such as petrochemicals,healthcare, and aerospace, offers a unique context for students to engage in research thataddresses significant societal challenges, while exploring cutting-edge methodologies incomputational sciences and engineering.The REU program consists of an intensive 8-week summer research experience, during
are now accessible to those withoutadvanced programming and data science skills. While these new technologies expand the pool ofdata science users, they also create new risks related to a lack of understanding of thefundamentals of these systems. A direct analogue for the current dilemma can be found in theearly implementations of finite element analysis (FEA). Misuse and misunderstanding of FEAmethods led to engineering failures across a variety of domains. For example, misunderstandingof FEA modeling concepts likely played a central role in the collapse of the Hartford CivicCenter and the sinking of the Sleipner A offshore platform [1], [2].Data science education for civil engineering students poses several unique challenges. The first
success metrics for students in engineering, specificallycomparing these factors among engineering transfer students and the APEX scholars group.Although not all APEX students are transfer students, the program targets the transfer studentpopulation by creating new pipelines from five community college partners. This paper reviewskey comparison data points, quantitative analysis of this data, qualitative analysis of studentfeedback, and demonstrates the initial success of the program.Grant Goals, Literature and Research FrameworkAPEX focuses efforts on recruitment, retention, graduation, and overall success of area low-income, academically talented engineering transfer students [1, 2]. Removal of institutionalbarriers translated to 2-year college
nearly 17% growth in employment for master’s- leveloccupations from 2016 to 2026, marking the highest growth rate across all education levels [1].Among the disciplines experiencing the most significant growth in master’s degree awards,engineering is ranked fourth [1]. Despite intentions to pursue further education, the realities of full-time employment and the extended duration required to complete a degree part-time often deterthese students from achieving their educational aspirations. Literature indicates that students whocontinue in engineering careers typically demonstrate high levels of self-efficacy and identifystrongly with the engineering community [1,2]. Although research on self-efficacy and engineeringidentity has expanded, it
scholar and a student advocate, Dr. Espino believes in centering, humanizing, empowering, and supporting the communities in which we serve through practical and policy reform. ©American Society for Engineering Education, 2025 From Staff to Students: Centering Critical Relevant Pedagogy and Community Cultural Wealth in an S-STEM program [work-in progress]AbstractFostering a strong and diverse STEM workforce is essential for driving innovation [1]. Thisqualitative phenomenological research study examines the experiences of academically talented,low-income students in STEM fields who participate in a S-STEM scholarship at a communitycollege, and the faculty and staff that are involved with the S-STEM grant
or program to assess student projects [3-5], [17], [19], [20]. These elements might varyslightly depending on the discipline (e.g., engineering, business, healthcare) or the specificobjectives of the capstone program. These aspects match very closely with expected ABEToutcomes [18]. We compiled the following list of key components for use in our CapstoneProgram:1. Problem Definition & Understanding: This includes clear identification of the problem or needand evidence of understanding the technical, practical, and/or societal context of the problem.2. Project Planning and Management: Clear project objectives and milestones, time managementand adherence to deadlines, and resource allocation and management.3. Technical Design and
’ ofneurodiversity argues that having a high level of diversity in how we process information isevolutionarily advantageous, and preferential in comparison to a population of people whoprocess information in the exact same way. [1]Previous research considering mental health and teamwork generally focuses on how teamworkcan be used to improve mental health [2] and learning outcomes in classes. However, there islimited research on how mental health is impacted by team-based learning, nor is there muchinformation on how neurodivergent students experience teamwork. Research also consistentlyshows that individuals with neurodivergent traits have a higher prevalence of mental healthconditions [3], which suggests that this potential comorbidity should be
Engineer (TIER-1) and Program Management Engineer (OEM) in the automotive industry, he returned to academia in 2013, receiving his BSc (2017) and MSc (2023) in Business Psychology from H-BRS.Gesche Neusel, Bonn-Rhein-Sieg University of Applied Sciences Gesche Neusel studied Organismic Biology, Evolutionary Biology, and Palaeobiology (OEP-Biology) at the University of Bonn, specializing in Behavioral Biology. She now works at the Gender Equality Office of Hochschule Bonn-Rhein-Sieg, where she is dedicated to promoting and supporting girls in the fields of technology and computer science.Steven McAlpine, University of Maryland Baltimore County Steven McAlpine is an assistant teaching professor in the Entrepreneurship
systems. Framed theoretically under Acker’s Inequality Regimes thatacknowledges a variety of dimensions embedded in organizational inequality, we collectqualitative data that is later transformed into quantitative measures to be modeled throughQualitative Comparative Analysis. In this paper we describe the data collection stage, with thedecision making required to transform qualitative data into quantitative measures. We offer areflection of the challenges faced while collecting high level organizational data from publiclyavailable data for the execution of complex system modeling.IntroductionThe national need to broaden participation in STEM is persistent [1]. Significant resources havebeen invested into initiatives to expand the successful
a single semester through an accelerated boot camp style,math course. Students selected to participate in the Math Launch pathway begin their first term(fall or spring) as part-time students (9-11 credit hours) and are provided with a dedicatedsupport team to assist them throughout their first semester math course. Math Launch givesstudents in calculus critical majors the opportunity to prepare for calculus 1 through a structured,accelerated program while providing additional services to support them in their designated mathcourse. Students register for a 3-credit hour math course (MAC1906 – Independent Study) andhave the opportunity to master three subject areas (courses), potentially becoming calculus 1ready by the beginning of their
research paper, we present initial findings from a study onwhether letters of recommendation submitted as part of applications to engineering Ph.D.programs may contain implicit bias. Specifically, the study is examining whether there arerhetorical differences in the way letters of recommendation (LOR) are written for applicantsfrom groups that are and are not underrepresented in engineering by gender and race/ethnicity.The weight placed on LOR in making admissions decisions is likely increasing at someinstitutions as undergraduate and graduate programs drop standardized test score requirements inthe hopes of improving equity [1]. In particular, the use of incredibly high quantitative GRE cut-offs for winnowing Ph.D. applicant pools has come under
-tests, while qualitative data fromstudent reflections were examined using thematic analysis. Findings indicate significantimprovement in students’ entrepreneurial mindset (p < .01); however, quantitative measures ofvalue creation did not show statistically significant changes. Qualitative findings suggeststudents valued collaborative problem-solving and the use of structured decision-making tools,such as decision matrices. Even small interventions can influence online students’entrepreneurial mindsets.IntroductionThere is a growing need to better understand how intentional course design embeddingentrepreneurial mindset (EM) principles impacts engineering education [1, 2]. Specifically, suchdesign interventions can influence students’ ability
transition to university can bedemanding for first-year engineering students as they will face more rigorous coursework,unfamiliar work environments, and more stringent professional requirements [1]. The KolbExperiential Learning Cycle (Spiral) where students cycle through concrete experience, reflectiveobservation, abstract conceptualization, and active experimentation is a framework that can makelearning difficult or new concepts easier [2]. In recognizing the opportunity to implement theseconcepts, the Principles of Mining Engineering course (MIN ENG 1912) underwent acomprehensive redesign to better support first-year mining engineering students’ academic,professional, and community development. The redesign of this course was made possible
environments will be required.This work in progress seeks to identify gaps between the training and education available toworkers and the needs of the future of industry. The first research-based educational opportunitywith specific partner input has been created. The first cohort of learners is taking the course inearly 2025.BackgroundAs industry moves toward advanced manufacturing there is need for workers to be able tooperate in an ever increasingly complex environment. Companies are implementing or plan toimplement such technologies as machine-to-machine communication, cloud computing, androbotics. [1], [2] Many industry professionals are concerned that training may not keep up withdemands. [4] Workers will have to learn new skills in order to be
scaffolding of projects with sub-deadlines for reporting on achievement ofspecific deliverables are utilized to engage students sooner and feed into beginning of classdiscussions concerning “pain points” and methods to ameliorate them. This also serves toidentify struggling students and provide additional guidance, whether through the discussion ofmethods utilized by peers or through instructor-led discussion. Maintenance of a Google Doc bystudents will be utilized to document their ongoing progress and for reporting of time spentworking on the individual projects and project reflection for productivity. These activities helppromote steady progress and foster self-directed learning [1-4]. Grounded in Vygotsky’s Zone ofProximal Development [5,6] and
optimization of nonlinear and hybrid systems with applications to power and energy systems, multi-agent systems, robotics, and biomedicine. He is the recipient of several awards for his innovative teaching and excellence in research mentorship.Analia E. Rao, University of California, Irvine ©American Society for Engineering Education, 2025 Mentoring as a Support Tool for Low-Income Engineering Transfer students in an S-STEM programIntroductionAs community college students transfer to four-year institutions, they commonly encounter aphenomenon called “transfer shock” that can impact their academic success negatively [1].Along with other issues, one of the main issues transfer students face
(PAID) grant.Dan DelVescovo, Oakland University Assistant Professor of Mechanical Engineering ©American Society for Engineering Education, 2025 REU: Outcomes and Lessons Learned After Organizing a Summer REU Program a Dozen Times over 17 YearsIntroductionFirst offered in the summer of 2006, the NSF-funded Automotive and Energy Research and IndustrialMentorship (AERIM) Research Experience for Undergraduates (REU) program [1] has now gone throughfour full 3-year funding cycles and has been offered a total of 12 different summers, with 1-2 year breaksin between. The focus of this REU program has long been on automotive and energy research, with strongties to the automotive industry in