significant disadvantage. Many face challenges catching up or may never evenbegin. Research highlights that institutional barriers like these contribute to lower completion ratesamong students from underrepresented gender, racial, and ethnic groups [1]. Similarly, the subjectsof this study i.e., first-generation college students (FGCS) [2] and non-traditional students (NTS)[3] also experience lower rates of degree completion compared to their peers due to the similarreasons. First-generation college students (FGCS) are the first in their immediate families to pursuecollege education (neither of their parents has a bachelor’s degree) [2]. The National Center forEducation Statistics (NCES) identifies seven key traits that distinguish NTS from
' knowledge and determinetheir readiness to progress in their studies [1]. These exams are typically individual, time-limited, and closed-book, with no external aids allowed. While they serve the purpose ofevaluating students' understanding, there is substantial evidence showing that traditionalexams can induce significant stress and anxiety, negatively affecting students'performance[2], [3]. Many students report that stress and worry cause them to forgetimportant information during the exam, even when they possess the necessary knowledge[4], [5], [6], [7] . The pressure to perform within a limited timeframe exacerbates theseissues, leading to what is commonly referred to as "blanking out" during exams [8]. Thiswidespread stress is not unique to
students. Students often express astrong sense of pride in becoming an engineer and believe that their hard work, perseverance,and ability to overcome rigorous challenges are a testament to their capability and worthiness inthe field.[1] However, the intense, high-pressure culture within engineering programs often takesa serious toll on students' mental health. Engineering students, even before the COVID pandemichit, were reporting higher levels of stress, anxiety, and depression than the general studentpopulation, but are less likely to seek help.[2-4] Their well-being is connected to whether theyfeel like the academic environment is supportive, hostile, or something in between.Culture change is a gradual process, requiring time, commitment, and
and skills in integratingaccessibility into product development. The course began with 35 students, the maximum enrollment limit, and concluded with29 students. It met once a week for 2 hours and 45 minutes. Each session was divided into two[THE SHIFT TOWARDS INCLUSION AND ACCESSIBILITY] 4parts: a 1 hour and 15-minute lecture covering the week’s topic, followed by a 15-minute break.The second half of the class involved interactive in-class activities to reinforce the lecture’sconcepts. Guest speakers from various companies specializing in accessibility and UX replacedsome lectures throughout the semester, sharing their professional experiences and insights. Students’ grades were
degree. Increasingly, all constituent groups cite advantages inbeginning experiential learning early – in the first or second year of college. The Interdisciplinary Projects course IDPro had 80 students enrolled in 2024, which wasoffered at both the 2000 and 4000 levels for 1-3 credit hours. IDPro was designed to providestudents with team-based, interdisciplinary, vertically integrated, project-based learningexperience before their degree-specific capstone. Examples of IDPro projects include researchprojects, industry sponsored projects, and topic-based projects selected by undergraduatestudents. IDPro functions as a 15-week course with projects expanding across semesters forstudents to continue developing over time as they hone their
that they are active participants and partners with scientists. Recent discussionsof CER are explicit in recognizing a continuum of engagement [1],[2]. CER is an umbrella ideaunder which more defined sub-types are found including community-based participatoryresearch (CBPR) [3]. A rough conceptual idea of forms of academic engagement withcommunities is shown in Figure 1, where areas within the gray box represent different forms andintensity of engagement. The activities located closer to the right side of the box represent moreleadership and agency by communities and therefore may be more likely to meet their goals. Figure 1. Examples of different
ofcommunities while introducing foundational engineering concepts. Drawing on culturallysustaining pedagogy and positionality theory, this study analyzes how the identities of instructorsshaped lesson design and delivery, and how students’ engagement with engineering wasinterpreted through a multimodal and multilingual lens. Data sources included instructorjournals, field notes, and community conversations. The thematic analysis highlights (1) theinfluence of instructors’ own definitions of engineering on classroom interactions; (2) the role ofheritage language use in building trust; and (3) students' creative engagement with materials,which surfaced localized forms of engineering not always recognized in traditional curricula.This WIP illustrates the
women’s participation in STEM, and related topics grew steadily from the 1970s onward [1],[2]. In the last two decades or so, an investment in programs that support broadeningparticipation with a lens of diversity, equity and inclusion has been prioritized in these and otheragencies. The 2024–2026 vision for NSF (produced in 2022) explicitly calls for “A nation thatleads the world in science and engineering research and innovation, to the benefit of all, withoutbarriers to participation” [3]. The NSF strategic plan further articulates core values which arethen specified within the agency’s individual programs: 1) Scientific leadership 2) Diversity andinclusion 3) Integrity and excellence 4) Public service and 5) Innovation and collaboration [3
, Dr. Povinelli has worked with leading aerospace companies, as well as collaborating with universities and government research labs. He brings over thirty years of experience in both technical and educational fields, blending scientific rigor with humanistic insight to promote holistic, transdisciplinary pedagogies. ©American Society for Engineering Education, 2025 Integrating Visual Thinking into Design EducationMark J. Povinelli, College of Arts and Sciences, Syracuse UniversityIntroductionVision is one of the first senses to develop in infancy, starting with facial recognition and objecttracking [1], [2]. As the visual system matures, it supports memory, cognition, and
pandemic disruptedthese efforts, halting relationship-building with educators and delaying the project’s progress.Since then, the work has centered on rebuilding school-university and school-industrypartnerships, while gaining a deeper understanding of the unique challenges of rural education inSouthwest Virginia. While creating widespread engineering and technical career pathways forAppalachian youth remains challenging due to broader systemic issues, recent work hasaddressed teacher professional development related to engineering, as well as increasing supportfor integrating engineering into K-12 classrooms in Southwest Virginia. Research efforts over thepast year have focused on: 1. Creating a data-informed summer engineering workshop for
educational experiences predict computing identity?. ACM Transactions on ComputingEducation (TOCE), 22(2), 1-28.Ma, J., & Baum, S. (2015). Trends in Community Colleges: Enrollment, Prices, Student Debt,and Completion [Research Breif]. College Board Research.www.luminafoundation.org/wp-content/uploads/2017/08/trends-in-community-colleges.pdfMountjoy, J. (2022). Community Colleges and Upward Mobility. NATIONAL BUREAU OFECONOMIC RESEARCH.Rodriguez, S. L., Blaney, J. M., Vasquez, M. C., & Salinas, C. (2021). Latino Men andMasculinities: A Multi-Institution Study of Community College Transfer Experiences.Community College Review, 49(3), 262–289. https://doi.org/10.1177/00915521211002898Rodriguez, S. L., Lu, C., & Ramirez, D. (2020). Navigating
(National Science Foundation, 2019). However, there is limitedpublicly available data on underrepresented populations in engineering across the state. The South DakotaSchool of Mines and Technology (SD Mines) provides a partial picture, where its undergraduateengineering population for 2023 was 85% white, with Hispanic (5%), multi-ethnic (3%), Asian (2%), andBlack (1%) students making up smaller percentages (South Dakota Mines, 2023). Women represent only24% of undergraduates and 25% of engineering bachelor's degree recipients (Mapping Your Future,2025). Nationally, underrepresented minorities earn higher percentages of engineering degrees—AfricanAmericans at 4.1% and Hispanics at 11.1% (ASEE, 2020). While South Dakota’s public universitiesreported
greatest effect on participants perceived learning andconnectedness to their cohort community and the broader organization.IntroductionBackgroundRecognizing that supervisors are instrumental in shaping organizational climate and moredirectly the employee experience, an organizational development team at a military researchinstitution committed to the design and delivery of programming that would grow oursupervisors into people focused managers [1]. Traditionally, supervisor training is focused oncompetency and skill development, both critical to success on the job, but this content is oftendelivered unidirectionally, in an asynchronous model, not allowing for group reflection,feedback, collaboration nor community building. This military research
to explore and develop newprofessional opportunities by equipping them with the necessary tools to identify problems,create solutions, and carry out projects with significant impact on their communities andindustrial sectors. Recent studies have shown that universities incorporating activemethodologies, such as project-based learning or design-based learning (DBL), fosteressential skills like critical thinking, problem-solving, and collaboration [1], [2]. Moreover,these strategies promote a direct connection between theory and practice, allowing students togain a deeper understanding of real-world challenges.On the other hand, universities' ability to enhance the quality of their training inentrepreneurship and innovation lies in their
of Asian LGBTQIA+students.By focusing on this group, my study aims to address the gaps in current literature andprovide new insights into how engineering education can become more inclusive.This research contributes to ongoing discussions about equity in engineering,advocating for more supportive environments that account for the needs of studentswith intersecting marginalized identities.Proposed Research DesignThis study examines how Asian LGBTQIA+ engineering students experience mentalhealth challenges and perceive support within their programs. As such, my researchquestions are as follows: 1. What kinds of mental health challenges and supports are Asian LGBTQIA+ Students in engineering programs experiencing? 2. How do Asian
interview. Students avoidedquestions of an unduly personal or confidential nature. Students were cautioned totread lightly on controversial subjects. Interviewees could pass on any of thequestions.Though not always possible to place precisely into categories, the questionsaddressed education, job expectations and perks, project challenges and successes,future directions, ethics, and general advice. Questions sometimes crossed theboundaries between categories. Likewise, the responses could swerve into multiplecategories, stream of consciousness style.The first seven questions common to all interviews, in most implementations of 10Q,were as follows. 1. Where do you work, how many years of experience do you have in this job, and what do you
testament to the transformative potential of education—notonly in shaping individual careers, but also in advancing industries and influencing society atlarge.References 1. Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108–116. This article discusses how businesses implement AI successfully and emphasizes managerial decision-making, similar to the focus of the course. 2. Raj, P., & Swami, S. N. (2020). Artificial intelligence and machine learning for business: A no-nonsense guide to data-driven technologies. Springer. This book provides a managerial perspective on AI technologies, making it relevant to your course’s emphasis on non-technical AI
fosteringinteractive, engaging educational environments. Funded by the National Science Foundation(NSF grant #1915520), this study aligns with NSF’s goal of strengthening the nation’s additivemanufacturing engineering workforce. It provides valuable insights into the integration of VR inengineering education, emphasizing the importance of VR systems and balanced instructionaldesign.Background and Motivation Recent technological advancements have made Virtual Reality (VR), particularly ComputerAutomatic Virtual Environment (CAVE) systems, increasingly accessible and effective aseducational tools, offering transformative potential for traditional teaching methods [1], [2], [3],[4]. These immersive systems address key challenges in engineering education
domain (e.g., FEA or CFD) or within a course onmathematical methods in engineering (e.g., using Matlab to solve differential equations). Thus,some assume that simulation can only be used late in the curriculum, after differential equations,computer programming, and engineering science courses. However, this paper cites numerousexamples of simulation being used earlier in the curriculum as a digital lab and in quantitativedesign exercises.Although there are few papers that discuss the general use of simulation in engineeringeducation, Whiteman and Nygren offer a rich overview of use of numerical software inengineering curriculum [1]; despite having written more than 20 years ago, they anticipated keypedagogical factors to consider. We summarize
appropriate use of AI. Wehave discussed these procedures and shared topics of mutual interest in passive conversation, soin some ways individual institutional policies were informed by decisions being made at theirsister institutions. Based upon these mutual interests, this paper is being assembled to compareand contrast directions being made and to share lessons learned and best practices with theengineering education community as a whole. Furthermore, institutions who are developing,revising and/or refining their AI policies may find the information contained within this article ofinterest.Artificial Intelligence (AI) is impacting daily life, especially within higher education. Facultyworry about the likelihood of student cheating [1] and have seen
coherent and complete content structure forthis study. Additionally, this paper adopts a case study approach, presenting thewell-established practices of certain universities in a concise yet comprehensive caseformat to help readers better understand specific aspects of practical implementation. Through the educational practices of these universities, this study aims tosummarize the practices and reforms related to the digital transformation ofengineering education in Chinese universities, identify common challenges, andpropose several policy recommendations. Figure 1 The framework of the paper2 Background of digital transformation of engineering education in China2.1 Digital economy Since the 1940s, the
BioDesign Process inBiomedical Engineering [34] or the Agile Project Management Approach [35] in Electrical andComputing Engineering. Future research related to this study will include Faculty and studentperspectives on the nature of successful Capstone Projects, as well.References[1] H.F. Hoffman, The engineering capstone course: Fundamentals for students and instructors. NY: Springer, 2014. DOI 10.1007/978-3-319-05897-9[2] C.J. Mettler, Engineering design: A survival guide to Senior Capstone. NY: Springer, 2023. DOI 10.1007/978-3-031-23309-8[3] B. Nassersharif, Engineering capstone design. London: Taylor & Francis Group, 2022. DOI 10.1201/9781003108214.[4] Y. Ma and Y. Rong, Senior design projects in
technological tools toeffectively support student success.Building on these insights and to address the issues raised in the first years of the program [1],we developed a proof-of-concept system that leveraged Qualtrics and generative AI to trackattendance and engagement. This system demonstrates the potential for AI to help overcomecommon barriers in data collection and analysis, illustrating a promising next step in simplifyingworkflows and enabling real-time insights. By integrating secure API calls and maintainingcompliance with privacy regulations like FERPA, the system prioritized data security andstreamlined a key process that could be used to identify potential student needs. This automatedattendance system is capable of consolidating survey
; Formative • Opportunities for evidence of understanding Assessment through performance tasks Moore, T. J., Guzey, S. S., Hynes, M. M., Douglas, K. A., & Strimel, G. J. (2024). Microelectronics Integration Curriculum Development Framework. https://nanohub.org/resources/39164 SCALE K-12 Curriculum 1 Trekking Through the Periodic Table (8th – 10th, Science) ME Fuse: semiconductors, materials used in microchips, circuits using breadboards and
would like to express our deep gratitude to Dr. SwatiNeogi, Mr. Yash Verma, Mr. Akash Kumar Burolia, and Mr. Rohan M. Jadhav and IndianInstitute of Technology, Kharagpur, India for their exceptional hospitality and dedicated effortsin providing our S-STEM fellows with invaluable study and research experiences. We areparticularly grateful for the mentorship offered on the following research projects:1. A mathematical model to assess aerogel's thermal conductivity and thermal performance - a key component of the multi-layer insulation system, mentored by Mr. Yash Verma.2. Determining the “order” in which different laminate layers in a composite of carbon fiber andepoxy resin start to fail when a load acts upon it, mentored by Mr. Akash Kumar