centers both STS and non-academic perspectives.Prof. Emily Liu, Rensselaer Polytechnic InstituteDr. James Olson, Rensselaer Polytechnic Institute After a twenty year Engineering career inventing and operating advanced technology in various private sector and military environments, Jim Olson returned to Academia to formalize and publish the methods and best practices he developed while mentoring and training Early Career individuals in the practical application of STEM concepts. Jim’s research if Engineering Education centric and he is currently pursing a Doctorate of Engineering at Rensselaer Polytechnic Institute in Troy, NY ©American Society for Engineering Education, 2025Development of a Pre
tailored tosupport a wide range of skill levels, academic backgrounds, and interests, aimed at creating awelcoming space for participants to explore new ideas, technologies, and career paths. Figure 1. OHI/O Historical TimelineOHI/O serves a diverse and interdisciplinary student population, drawing participants from over60 academic majors, with a strong representation from computer science, computer engineering,and electrical engineering. This diversity fosters a rich collaboration, innovation, and peerlearning environment, ensuring that students from various backgrounds and experiences cancontribute meaningfully to and benefit from OHI/O’s events and resources.OHI/O’s mission is deeply rooted in supporting students
Undergraduate Programs in Canada. University Goals/Objectives Curriculum Structure Program Overview Carleton To provide a strong - AI/ML stream within the - Focuses on modern University foundation in Bachelor of Computer AI/ML techniques such as computer science with Science (Honours). data mining, natural specialized training in language processing, and Artificial Intelligence deep learning. (AI) and Machine - Prepares students for Learning (ML) [5] careers in AI, software
,specifically generative AI based solutions, as an exploratory exercise for students. These toolsserve as both a benchmark and a critical evaluation exercise for students. By comparing their ownsolutions with AI-generated ones, students gain insights into the strengths and limitations ofgenerative AI while enhancing their critical thinking and problem-solving skills. This also servesas an informative study on student perceptions on integrating generative AI into their own works.The reflective nature of this exercise can give student’s insight into their own usage of generativeAI in other courses and as they evolve into an engineering career. Broadly speaking, thisintegration explores a modernized approach to engineering education, aligning with
partnerships to statewide educational systems. The findings encourage thedesign of policies and transfer structures that meet the needs of systems and the career goals ofstudents.Background/Literature ReviewModes of institutional transfer There are many ways in which students transfer course credits between institutions toearn a degree in engineering. These include: • vertical transfer, or course credit transfer from a community or technical college to a university, • lateral transfer, or course credit transfer from a university to a different university, • reverse transfer, or course credit transfer from a university to a community or technical college, • dual credit or concurrent enrollment transfer from a high
and computing-related communication curricula, highlighting the critical role of security in contemporary communication systems. • Encouraging Careers in Secure Communication: Through a detailed explo- ration of emerging technological advancements, this research seeks to inspire undergraduate students toward pursuing careers in the field of secure commu- nications, showcasing promising professional opportunities and pathways. • Identifying and Analyzing Communication Vulnerabilities: The initial phase of this research involves an in-depth examination of vulnerabilities inherent in unsecured communication systems, providing a comprehensive understanding of potential security threats, weaknesses, and their
Engineering Department at MIT. SheKhas served in various teaching capacities from undergraduate instructor to lead instructor of courses in design and manufacturing in the departments of mechanical engineering and materials science at MIT over the course of eighteen years. Her PhD research and current lab focus on projects at the intersection of design and manufacturing, with challenging materials and environments. For five years prior to graduate study, she worked as a manufacturing engineer in the medical device and microfabrication industries. This time in industry, combined with her experience as an undergraduate student taking the same course, as well as family members specializing in education careers have
engineering majors and career opportunities, as well as comparing their major of interest to other similar engineering majors ● Developing academic plans of study which map out their course and degree requirements through graduation ● Assisting with a student’s transition from high school to college and helping students build academic self-efficacy to assume more responsibility for their undergraduate education prior to entering a majorApplication of Theory of Change: Forum DesignForum ParticipantsThe COE at Virginia Tech comprises 12 major-granting departments that collectively offer 14degree programs and 33 engineering majors. Reinholz and Andrews recommend that any theoryof change should begin with developing a working
instructor adaptability at the 2024 ASEE Annual Conference & Exposition. Following the completion of her undergraduate education, Hayden will be pursuing her master’s degree in structural engineering at the University of Nebraska - Lincoln. She then hopes to pursue a PhD in engineering education.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
, but many other careers as well. Interms of how it affects people, AI when developed as a tool makes the jobs of engineers muchmore manageable” (56 words) was suggested to be revised to “While AI is in its infancy, it is asustainable tool that can not only optimize engineering, but all careers” (20 words). Second, bothreviewers would comment if errors in punctuation and grammar were frequent enough tocompromise the effectiveness of the memo, and in many cases provide advice about grammaticalrules. In one instance, both reviewers noted a student had included a “reflection” section in theirmemo was neither a convention nor a move of memos, and that contained information that wasnot solicited by the assignment prompt (all other reviewers ignored
trademarks).Dr. Olivier Ladislas de Weck, Massachusetts Institute of Technology Olivier de Weck is a Professor of Aeronautics and Astronautics and Engineering Systems at MIT. His research focuses on the technological evolution of complex systems over time, both on Earth and in Space . He is a Fellow of INCOSE and ASEE and serves as Faculty Co-Director of the MIT Gordon ProgramLuca Carlone, Massachusetts Institute of Technology Luca Carlone is the Boeing Career Development Associate Professor in the Department of Aeronautics and Astronautics at the Massachusetts Institute of Technology, and a Principal Investigator in the Laboratory for Information & Decision Systems (LIDS). He received his PhD from the Polytechnic
exchange, where language proficiency, cultural awareness, andinitiative converge.Overall, the engineering education experience was shaped by disciplinary content and theinterplay of communication styles, institutional expectations, and social positionings within thelab. Students gradually moved from tentative observers to more confident contributors, but thistransition was uneven and contingent. The distinction between those pursuing graduate studiesand those focused on professional careers was especially salient in how they perceived andutilized these experiences. The former framed technical challenges as preparation for researchcareers, while the latter often emphasized immediate skill acquisition and professionalapplicability in Colombia.These
image generator, MicrosoftCopilot is available to all faculty, staff, and students with enterprise-level security and privacy.Courses and CurriculaKSU offers a number of degrees and certificates, each requiring students to take several coursesthat prepare students for technical careers related to artificial intelligence. These include: ● Advanced Intelligent Systems Programming (undergraduate certificate) ● Applied Machine Learning (undergraduate certificate) ● Computer Science (Bachelor of Science, Master of Science, Doctor of Philosophy) ● Data Analytics (Master of Science, graduate certificate) ● Machine Learning and Autonomous Systems (Bachelor of Science, graduate
with whichtraditional engineering courses can integrate the principles of HCD while meeting ABETrequirements [18]. Lawrence et al. created an HCD taxonomy for trans-disciplinary learning [20]while Shehab and Guo have validated metrics for assessing the impact of HCD on learning inhigher education courses [21].Case studies on HCD have shown that the HCD process can improve students’ perception thatuser-research and input is a critical component of the design process [22]. HCD has also beenshown to greatly benefit the creative problem-solving ability of students over the duration of aclass [23], and engage students more thoroughly to retain them in STEM when introduced to HCDearly in their engineering careers [24].2.2. Project-Based
educational and career pathways of engineers. In The National Academy of Engineering (Vols. 2018-June). The National Academies Press. https://doi.org/10.17226/25284[2] ASEE. (2024). Cooperative and Experiential Education Division. Retrieved from: https://ceed.asee.org/[3] Moher D, Liberati A, Tetzlaff J, Altman DG, The PRISMA Group (2009) Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. PLoS Med 6(7): e1000097. https://doi.org/10.1371/journal.pmed.1000097[4] Power, J. (2021). Systematic reviews in engineering education: a catalyst for change. European Journal of Engineering Education, 46(6), 1163–1174. https://doi.org/10.1080/03043797.2021.1980770[5] Phillips, M., Reed, J. B
∗ hall.carrie98@gmail.com, Safia@ksu.edu, lshamir@ksu.edu Kansas State UniversityAbstractData science careers are projected to grow by more than 30% by 2032, yet data science academicsare lacking and cannot satisfy the growing market demand for qualified data scientists.Additionally, K-12 data literacy rates are declining, introducing a gap between moderndata-driven society and the ability of members of society to understand data. Early experienceswith STEM subjects have been shown to influence and predict students’ long-term careeroutlooks and outcomes. In the context of data science, this means that early introduction at theK-12 level is crucial in order to develop and maintain the data science workforce. Although
are engineering students’ ethical concerns related to the adoption ofGenAI-based tools in their education and future careers? (RQ3) What are students’ perceptionsof benefits v.s. harms of GenAI for themselves, science, and society?To address these RQs, we conducted two separate surveys of all students at the Colorado Schoolof Mines (henceforth referred to as “Mines”), a small (< 10k students) engineering-focused R-11university in the USA in May 2023 (n1 = 601) and Fall 2024 (n2 = 862). This paper reports onthe findings, demonstrating statistically significant results related to increasing frequency of useof GenAI by engineering students over time, and other trends related to use cases, studentmotivations, ethical concerns, and perceived
andmotivation in UGR can aid in the design of improved workshops and courses for UG researchers,as well as provide direction for individual faculty who are interested in leveraging EM in theirmentorship of UG students.Introduction:Undergraduate research (UGR) is widely recognized as a high-impact practice that enhancesstudents’ academic productivity. The engagement in learning, retention in college, and careerpreparedness of students can be positively affected by participating in UGR. Studies show thatUGR helps students clarify career goals [1], foster a sense of identity as scientists or engineers[2], and build resilience [3]. Additionally, UGR serves as a valuable ecosystem for preparingfuture graduate students and enhancing research lab productivity
transition- ing to an education-focused career track, Melissa taught at Stanford University, Santa Clara University, and Foothill College. These engagements have included courses within and outside the major, aimed at undergraduates at all years, high school students, and working adults. Melissa is now the Science and Engineering Education Fellow (SEEF) for the Bioengineering department, where she works on broader educational research projects and curricular change. Her work includes trying to better understand and support student development as ethical and quantitative thinkers. Through work with Stanford’s Center for Teaching and Learning (CTL), Melissa has also developed diversity and inclusion content for instruc
efforts and redefine the engineering canon as sociotechnical. She has a background in environmental engineering and received her Ph.D. in Engineering Education at Utah State University with a research focus on the ethical and career aspects of mentoring of science and engineering graduate students and hidden curriculum in engineering.Dr. Amy Walker, University of Texas at Dallas Amy V. Walker is the Associate Dean of Undergraduate Education in the Erik Jonsson School of Computer Science and Engineering, and a Professor of Materials Science and Engineering at the University of Texas at Dallas. Amy received her BA(Hons) in Natural Sciences (Experimental and Theoretical Physics) in 1995 and her PhD in Chemistry in 1998
16 31% Content Knowledge 14 27% Intent to Pursue (CS Related Career) 11 22% Engagement 11 22% Intent to Pursue (CS Related Major) 11 22% Self-efficacy 10 20% Usefulness 10 20% Motivation 9 18% Intent to Pursue (CS Related Courses) 6 12% Satisfaction 6
“effectivelydisrupt the systematic categorization of alternative neurological and cognitiveembodiment(s)”and “offers an emancipatory lens for representing and embodying neurologicaldifferences beyond traditional special education’s deficit-based discourses and practices.”C. INCLUDE ProjectThe INCLUDE project funded by the Revolutionizing Engineering Departments program of theNational Science Foundation has been established to transform department-wide practices andcreate an inclusive learning environment that empowers the diversity of learners present ininstitutions of higher education. This project aims to develop and refine a range of interventionstargeted towards multiple aspects of academic life, from recruitment to career development. TheINCLUDE team
the National Society of Black Engineers (NSBE) Student Retention Toolkit [5] are cited and shared with Fellows.Objective #3: Build partnerships with stakeholders who are engaged in recruitment, admissions,retention, graduation, hiring and career development of women and BIPOC engineering studentsat their own institutions and in their regional hubs. This third objective focuses on building partnerships with stakeholders, such as LSAMP networks and new regional hubs, graduate schools at other institutions, and industry partners. Other stakeholders include national professional engineering societies such as ASEE, Society of Women Engineers (SWE), NSBE, National Action Council for Minorities in Engineering (NACME), American Indian
online synchronous mode, studentallowed to join only online. HyFlex course provides flexible opportunities to participate in-person,online synchronous and online asynchronous simultaneously. As long as student demographics of higher education continue to change, the challenges toaccommodate diverse learners also will exits. HyFlex course provides opportunities to servediverse group of students by combining different modalities rather than creating separate sections 2[2]. Diane Wright [3] performed a case study on adult and career education course. In this studyauthor found adult learners needs flexible learning environment to balance work, study, personallife and other commitment. HyFlex
: toward a unifying theory of behavioral change.” Psychological review, vol. 84, no. 2, p. 191, 1977.[17] R. W. Lent, S. D. Brown, and G. Hackett, “Social cognitive career theory,” Career choice and development, vol. 4, pp. 255–311, 2002.[18] A. Bandura et al., “Guide for constructing self-efficacy scales,” Self-efficacy beliefs of adolescents, vol. 5, no. 1, pp. 307–337, 2006.[19] S. W. McQuiggan, B. W. Mott, and J. C. Lester, “Modeling self-efficacy in intelligent tutoring systems: An inductive approach,” User modeling and user-adapted interaction, vol. 18, pp. 81–123, 2008.[20] S. Fancsali, M. Bernacki, T. Nokes-Malach, M. Yudelson, and S. Ritter, “Goal orientation, self-efficacy, and “online measures” in intelligent
they would enjoy pursuing a research career in the future. Students also buildskills, such as technical capabilities [1], [2] and project and time management, that can benefitthem irrespective of the career path that they take. Because of this, undergraduate researchprograms are a form of project-based and experiential learning.Significant prior work exists in these areas. Notably, prior studies have shown that students canbuild their technical skills through project and experiential learning; however, they have alsoshown a number of more general benefits such as building students’ confidence [3], [4], creativity[5] and even self-image [6].Project and experiential learning has been shown to be effective throughout STEM fields [7]–[9]and
have been heavilydirected towards evaluation of two criteria: Criterion 2- Program Educational Objectives andCriterion 3- Program Educational Outcomes. These two criteria are described in the most recentABET publication (2005-06 Engineering Criteria)1 as:Criterion 2. Program Educational Objectives: Although institutions may use differentterminology, for purposes of Criterion 2, program educational objectives are broad statementsthat describe the career and professional accomplishments that the program is preparinggraduates to achieve. Each engineering program for which an institution seeks accreditation orreaccreditation must havein place:(a) detailed published educational objectives that are consistent with the mission of the institution
Reflect components. The students work in teams for each module completing ashort team project related to the module topic. They also complete a self-reflection exercise at theend of each module as well as a culminating reflection at the end of the course. Of the 61 studentsin the fall 2022 cohort, 37 were civil engineering majors and 24 were environmental engineeringmajors.Exploring CEE: Stories There were multiple story-telling interventions throughout the course. During the firstweek, the instructor and TA shared their personal stories about how they ended up in college andstarted their personal career path. The students were then asked to share their personal storieswithin small groups about how they ended up at Georgia Tech. The small
educational programs in engineering dis- ciplines. He holds a Ph.D. in Mechanical Engineering from the University of Texas at Austin, M.S. in Electrical Engineering from University of Southern California and B.S. in Electronics and Communica- tion Engineering from India.Dr. Shane A. Brown, P.E., Oregon State University Shane Brown is an associate professor and Associate School Head in the School of Civil and Environmen- tal Engineering at Oregon State University. His research interests include conceptual change and situated cognition. He received the NSF CAREER award in ©American Society for Engineering Education, 2023 Are all ‘EBIPs’ created equal? An exploration of engineering