to students being perceived by the community as experts even though many were early in their educational career. This led to ineffective feedback and dialogue amongst collaborators. Indeed, we have noticed that there are inconsistencies between community partners’ perceptions of engineering students’ skills and abilities and the reality that they are young learners who may be novices when it comes to project deployment and partnership/relationship development. This can result in community partners requesting assistance in projects outside of student expertise and putting too much stock in student recommendations.e. Students participating in construction – In traditional engineering service-learning courses it is common for
International 2018, Las Vegas, NV, USA, July 15-20, 2018, Proceedings, Part I 12, pages 660–676. Springer, 2018.[29] Lauren R Milne. Blocks4all: making block programming languages accessible for blind children. ACM SIGACCESS Accessibility and Computing, (117):26–29, 2017.[30] Gallup. Developing careers of the future: A study of student access to, and interest in, computer science. https://tinyurl.com/4y6sha5y, 2021. [Accessed 17-08-2023].[31] Jennifer Wang and Sepehr Hejazi Moghadam. Diversity barriers in k-12 computer science education: Structural and social. In Proceedings of the 2017 ACM SIGCSE technical symposium on computer science education, pages 615–620, 2017.[32] Jane Margolis, Rachel Estrella, Joanna Goode, Jennifer
, experimentation, process control,and test engineering. As detailed in the Student Outcomes section above, the experiences of thestudents appear to be very positive, with many gaining a desire to explore future career opportunities inthe aerospace arena. The project also gained exposure in several press releases, furthering local andnational interest in the project, and its potential to assist various companies with their high-temperaturematerials qualifications [5][6][7].Building on the success of this initial phase of using the CHRD system to perform high temperaturematerials research, indefinite funding for further system development has been approved by WeberState University (WSU) and the Miller Advanced Research and Solutions Center (MARS) leadership
: Departmental Contexts that Matter inFaculty Careers,” Research in Higher Education, vol. 55, no. 1, pp. 49–74, 2014, Accessed: Apr.03, 2024. [Online]. Available: https://www.jstor.org/stable/24571752[16] W. H. Sewell Jr, “A Theory of Structure: Duality, Agency, and Transformation,” AmericanJournal of Sociology vol. 98, no.1, pp. 1-29, Jul. 1992.[17] D. B. Cornfield, J. S. Coley, L. W. Isaac, and D. C. Dickerson, “The Making of aMovement: An Intergenerational Mobilization Model of the Nonviolent Nashville Civil RightsMovement,” Social Science History, vol. 45, no. 3, pp. 469-494, 2021.
train to practice as a School Psychologist in the public-school setting, as she pursues a Ph.D. in School Psychology at the University of Maryland - College Park in the fall of 2024.Dr. Grace Panther, University of Nebraska, Lincoln Dr. Grace Panther is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of Nebraska – Lincoln where she conducts discipline-based education research. Her research interests include faculty change, 3D spatial visualization, gender inclusive teamwork, and studying authentic engineering practice. Dr. Panther was awarded an NSF CAREER award in 2024. Dr. Panther has experience conducting workshops at engineering education conferences both
underway, and the results are expectedto be concluded soon. However, they have not been incorporated into this article at this time.Results and discussions Based on responses from interviews with teachers, the results were analyzed andsummarized into three dimensions: • “Fertility for the student” - aims to evaluate how PBL influences the student’s preparation for professional life, examining the skills and competencies that they can develop and how these aspects contribute to their career progression and integration into the job market. • “Fertility for the teacher and the course” - aims to evaluate the outcomes that teachers obtain in the classroom with students, evaluate how
engagement and motivation, and self-regulation.Dr. Angela Minichiello, Utah State University Angela (Angie) Minichiello is a military veteran, licensed mechanical engineer, and associate professor in the Department of Engineering Education at Utah State University. Her research examines issues of access, equity, and identity in the formation of engineers and a diverse, transdisciplinary 21st century engineering workforce. Angie received an NSF CAREER award in 2021 for her work with student veterans and service members in engineering.Dr. Oenardi Lawanto, Utah State University Dr. Oenardi Lawanto is a professor in the Department of Engineering Education at Utah State University, USA. He received his B.S.E.E. from Iowa
Paper ID #41700Indicators of Change in Mechanical Engineering Instructors’ Teaching PracticesAcross Five YearsHayden J Wulf, University of Nebraska, LincolnDr. Grace Panther, University of Nebraska, Lincoln Dr. Grace Panther is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of Nebraska – Lincoln where she conducts discipline-based education research. Her research interests include faculty change, 3D spatial visualization, gender inclusive teamwork, and studying authentic engineering practice. Dr. Panther was awarded an NSF CAREER award in 2024. Dr. Panther has experience
, Pelumi has taught as a teaching assistant both at Morgan State University and Obafemi Awolowo University. With passion to communicate research findings and gleaned from experts in the field as he advances his career, Olaitan has attended several in-persons and virtual conferences and workshop, and at some of them, made presentation on findings on air pollution, waste water reuse, and heavy metal contamination.Dr. Oludare Adegbola Owolabi P.E., Morgan State University Dr. Oludare Owolabi, a professional engineer in Maryland, joined the Morgan State University faculty in 2010. He is the director of the sustainable infrastructure development,smart innovation and resilient engineering lab and the director of undergraduate
various stages of their careers, several in the manager and director role, and most all with thetitle of systems engineer. They understood the DoD and USAF directives for promoting the useof MBSE in their work on the acquisition of systems but were unclear on how DE would berolled out or applied in their work. While DE is not a new field for defense contractors, it is arelatively new set of skills for those in the government who typically generate requests forcontracts and acquire systems designed by contractors. The digital transformation paradigm isexpected to create a common set of digital models and associated data that can serve as a meansof communication and exchange of information between vendors and government procurers. Tosupport these
findings in Sec 3.1, as students gain electrical skills and realize the impact that learning theseskills can have in their careers and on the world.One reason that seems responsible for this development is the complexity of and emphasis on thelaboratory work. Students seem to take ownership of their projects, and are genuinely proud ofthe results they achieve. This shift from “do a laboratory assignment and characterize someaspects of electrical engineering” to “build a real-world, complex device” makes students realizethat they are capable of much more than a traditional course in electrical engineering would havethem believe. And this makes all the difference. Anecdotally, the author has seen students whoare barely able to wire a simple circuit
, Lincoln Dr. Grace Panther is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of Nebraska – Lincoln where she conducts discipline-based education research. Her research interests include faculty change, 3D spatial visualization, gender inclusive teamwork, and studying authentic engineering practice. Dr. Panther was awarded an NSF CAREER award in 2024. Dr. Panther has experience conducting workshops at engineering education conferences both nationally and internationally, has been a guest editor for a special issue of European Journal of Engineering Education on inclusive learning environments, and serves on the Australasian Journal of Engineering Education advisory
, public responsibility,and whistleblower training into their curricula to ensure that the engineers of tomorrow are well-equipped to address the novel ethical dilemmas of AI.IntroductionThe prevalence of ethical challenges in engineering, particularly in the field of artificialintelligence (AI), is a growing concern to both experts and the lay public. Research indicates thata significant majority of engineers face ethical dilemmas during their careers; over 70% ofprofessional engineers have encountered ethical issues in the workplace and approximately aquarter find it challenging to align their professional ethics with their employer’s demands [1].This ethical complexity is especially pronounced in AI development, where engineers often
recipient of over 15 million dollars in research grants as a principal and a co-principal investigator, further advancing her research endeavors. Throughout her career, Dr. Mitra has held significant leadership positions within professional organizations. As the Division Chair of the Energy Conversion and Conservation Division (ECCD) of the American Society of Engineering Education (ASEE), she has actively contributed to the advancement of the field. Additionally, she has served on the Board of Directors for Assateague Coastal Trust (ACT) for over five years, advocating for renewable energy and climate change initiatives. Dr. Mitra’s commitment to diversity, equity, and inclusion is evident through her contributions to
dedicated to not only teaching concepts to students, but also ensuring they acquire important skills useful for their future career endeavors. Outside of the classroom, she has been active, in various capacities, with the Pacific Southwest Section (PSW) of ASEE, American Society for Engineering Education. She received a B.S. in Industrial Engineering from Sharif University in Iran; M.S. in Production Engineering from Aston University in U.K.; and Ph.D. from Industrial and Systems Engineering at the University of Southern California, in U.S.A. To reach her, please email: parisay@usc.edu. ©American Society for Engineering Education, 2024 Improving Verification Skills for a Discrete-Event
complex challenges in their professional context that requireboth technical and social competencies and include providing clean water, the ethics ofdeveloping AI, engineering better delivery of medication, and preventing nuclear terror [1]. Toeffectively solve these complex problems, engineers have to rigorously and adeptly applytechnical skills and soft skills such as communication, collaboration, and empathy [2]. Soft skillsare widely recognized as having increasing importance for employment, career success, andprofessional and personal satisfaction in modern engineering workplaces [3].Empathy is a critical soft skill, focused on building emotional intelligence [2], [4], [5], [6], andhas many definitions in the literature [7]. This work is
have shown thatengineering students are under the impression that engineers are supposed to think, feel, and act ina certain way [21]. The clash between traditional engineering norms (i.e., self-reliance, problemsolving and resilience) and the idea of seeking help from a mental health professional could resultin engineering students feeling that seeking help might “be a sign of weakness” or that it would“go against the norms of the engineering culture.” Engineering students that are naturally drivenby their personal success and competence may fear possible career implications of help-seekingand that it might “result in me being discriminated against in academic/professional settings.” Thiscould contribute to the culture of silence around
situated learning theory, our approach creates the context for the first-year students, thenovice, to interact with the more experienced non-first-year students and develop their sense ofcommunity and belonging. Our surveys and interviews showed that the linked activitiesincreased the students’ sense of community, enjoyment of computing, and confidence incomputing. Some first-year students established meaningful relationships with non-first-yearstudents, joined student organizations, or became volunteer presenters.Background and MotivationA particularly challenging point in the path to careers in computer science comes in the first yearof college. Nationwide, the retention rates for part-time first-year Black and Latinx students are38.2% and 46.6
Lecturer at the University of Miami, Florida. She received her B.S. in Computer Engineering from the University of Miami in 1988 and after a full career as a software engineer in corporate America she returMs. Seulki Jenny Chin, University of Miami Seulki Jenny Chin is a second-year doctoral student in the Teaching and Learning program, specializing in STEM education at the University of Miami. Her research interests focus on exploring the physical and psychological factors that drive learning and enhance performance in STEM education.Liping Yang, University of Miami Liping Yang is a doctoral student in STEM Education at the University of Miami, with a rich background in educational technology and International
education, many students are choosing to transfer between institutions due to variousreasons, such as financial considerations, educational goals, career aspirations and so on. It hasbeen widely acknowledged that providing academic support to transfer students is a challengingtask due to the complexity of the transfer process and students’ background. Based on the study ofthe mechanics of the transfer process, we have gained a better understanding of the root cause ofthe challenge.As the transfer process can be treated as a computable problem, we proposed a tree data structurethat can represent the degree requirements of academic program. To study the complexity of thetransfer process, we formally defined the Optimal Transfer Pathway (OTP) Problem
thecourse include the deployment of the same robotic platforms both in simulation and physicalinstances.This course is targeted towards students who want to gain a basic understanding of technologiesused within robotic systems, namely autonomous mobile robots and robotic arms. Uponcompletion of this course, students should be sufficiently versed in robotics to support career rolesin a broad range of industries related to robotics. The course provides an introductory foundationthat should support further in-depth study of fundamental robotics technologies.Assessment methods Given the aforementioned circumstances that combined into thedevelopment of this graduate-level course, several assessment methods were considered topromote student engagement
information from a variety of sources, including AI ● Professional development: Opportunities to meet with career center and other on-campus resources were provided during Expos; Headshots for LinkedIn or similar were provided at no cost to the student Outcome 4: Employ the NSPE Common course material, activities, and assignments were utilized for code of ethics to examine ethical ABET accreditation including case study examples, live-action simulation case studies and extrapolate [9], and final assessment of a hypothetical ethics scenario related to principles
. (2019). Developing tolerance for ambiguity anduncertainty by interdisciplinary intensive courses. In V.N. Balázs, M. Murphy, H-M. Järvinen &A. Kálmán (Eds.), Complexity is the new normality. SEFI 47th Annual Conference,Proceedings. (pp. 936-943) Budabest.15. Yadav, A., Alexander, V., & Mehta, S. (2019). Case-based instruction in undergraduateengineering: Does student confidence predict learning? International Journal of EngineeringEducation, 35(1), 25-34.16. Rohde, J., Musselman, L., Benedict, B., Verdín, D., Godwin, A., Kirn, A., ... & Potvin, G.(2019). Design experiences, engineering identity, and belongingness in early career electrical andcomputer engineering students. IEEE Transactions on Education, 62(3), 165-17217. Allen, K
project.383 The repor ng mechanisms for our Team Challenge projects, par cularly the required Outcomes384 Assessment for each report (Table 2) has served to guide students through the reflec on process for385 mul ple facets of their PBL experience. Coupled with mul ple surveys and informal discussions over the 13386 course of each semester, students have shown great freedom in expressing their growth in facing the387 opportuni es and challenges of pursuing rigorous career prepara on through engineering study.388389 4. SUMMARY AND CONCLUSIONS390 With 19 years of course evolu on leading to the current mul -disciplinary first
Paper ID #41675Leveraging Novel Machine Learning in Engineering EducationDr. JAMES WANLISS, Anderson University James Wanliss is professor of general engineering at Anderson University. He is a winner of the NSF CAREER award, and works in experimental and computational plasma fluids, with interests in machine learning and data analysis. ©American Society for Engineering Education, 2024 Leveraging Novel Machine Learning in Engineering Education Dr. James Wanliss, Professor College of Engineering Anderson
Technology, Engineering and Design Education faculty. His research areas include graphics education, visual assessment, 3D modeling and animation, and professional development for technology and engineering education. He has also served in various leadership roles in engineering education and career and technical education disciplines. Dr. Clark is recognized as a Distinguished Technology Educator for service by the International Technology Engineering Education Association and the American Society of Engineering Education; Engineering Design Graphics Division.Dr. Jeremy V. Ernst, Embry-Riddle Aeronautical University Dr. Jeremy Ernst is Professor of Technology and Vice President for Research for Research and Doctoral
obvious that first semester students were enrolling inresearch credit hours. The question that continued to be raised was “what research were thestudents accomplishing during that time?”. Other questions began to arise, such as “As a newdoctoral student, what part of the research process could they possibly be attempting?” Quickly, 10it became clear that the new students did not know what the research process was, much lesswhere it should be going. Many funded doctoral students are thrust into an ongoing research project early on intheir academic career without being informed on the entire process. They are placed in a verysmall section of the
were refined based on input from students before and afterusing the teaching materials.The topics, methods, and activities described in the videos and in-class exercises build onresearch-based best practices. For example, interviewing strategies align with established best-practices in the field of anthropology [4]. Recording observations using the 4 Ps (People,Process, Products, Place) is similar in intention, but formulated differently, from other publishedethnography and needs finding strategies including AEIOU [11] and POEMS [12]. The 4Ps wasdeveloped as a tool by one of the co-authors (Paul Fearis) during 20+ year career in medicaldevice design. Root cause analysis builds on 5 WHYs, a well-known method [13].Table 1. Student learning
assessment;artificial intelligence in educationIntroduction Research indicates that college and engineering students often lack essential skills requiredby employers, such as communication, decision-making, problem-solving, leadership, emotionalintelligence, and social ethics [1], [2]. This gap between college preparation and career demands isparticularly evident in the engineering field, where technical knowledge is prioritized over softskills like creativity, innovation, leadership, management, and teamwork [3]. Moreover, the shiftfrom traditional instruction to skill-based curricula has gained momentum in educational settingsto center the learner in education. This approach encourages students to engage in hands-onactivities, problem
succinctly: “based on decades of researchand analysis, racial disparities in STEM careers do not rest on individual deficiency in candidatesor even primarily on the individual racism of institutional and organizational gatekeepers. Racismis embedded in our society” [11].4 Proposed definition of equity in CS educationIn this section, we present our proposed definition of equity adapted for computing educationfrom a definition of equity in health [9] proposed by Braveman and Gruskin [9], presented insection 2.1, and in parallel with the other definitions of equity discussed in section 2.2.Paraphrasing the health definition for computing education gives us:Equity in CS Education is the absence of systematic disparities in educational outcomes