] S. Ghanat and D. Ragan, “Implementing Entrepreneurial Minded Learning in a First-Year Seminar Course,” Proceedings of the 2014 ASEE Annual Conference, Portland, OR.[ 6] Pluskwik, Leung, & Lillesve, 2018 [7] N. Duval-Couetil, E. Kisenwether, J. Tranquillo, J. Wheadon, ”Exploring the Intersection of Entrepreneurship Education and ABET Accreditation Criteria,”The Journal of Engineering Entrepreneurship, vol. 6, Number 2, pp.44-57,June 2015. https://doi.org/10.7814/jeenv6n2p3. [Accessed Dec 17, 2017].[8] ABET, “Changes in Definitions, Criterion 3 and Criterion 5
/improving-student-retention-through-a-redesigned-first-year- engineering-class[2] C. E. Davis, M. B. Yeary, and J. J. Sluss, “Reversing the Trend of Engineering Enrollment Declines With Innovative Outreach, Recruiting, and Retention Programs,” IEEE Trans. Educ., vol. 55, no. 2, pp. 157–163, May 2012, doi: 10.1109/TE.2011.2157921.[3] M. K. Orr, C. Swafford, S. Hahler, and D. Hall, “Factors that influence confidence: Untangling the influences of gender, achievement, and hands-on activities,” in 2014 IEEE Frontiers in Education Conference (FIE) Proceedings, Oct. 2014, pp. 1–5. doi: 10.1109/FIE.2014.7044418.[4] G. W. Bucks, K. A. Ossman, J. Kastner, F. J. Boerio, and J. A. Torsella, “First-Year Engineering Courses’ Effect on
) 30+ years 10% 20 – 29 years 20% 15 – 19 years 15% 10 – 14 years 10% 4 – 9 years 30% 0 –3 years 15%Teachers selected the subject area(s) they taught during the 2023-2024 school year, given thefollowing options: Science, Math, STEM/Engineering, ELA, Social Science, or Other. Teacherswere given space to write additional details about the subject(s) they taught for each option listedabove. Subject areas were
academic and professional interests whilebuilding strong peer and external stakeholder networks. This concept provides support for careerdevelopment through stakeholder involvement [22]. Students are given opportunities to connectwith professionals from the field. The program’s practical and simple design offers a replicablemodel for other institutions. By addressing challenges and expanding on its strengths,universities can ensure graduate education prepares students for both academic excellence andcareer advancement.AcknowledgementsThis work is supported by the National Science Foundation under Grant No.1954946. Anyopinions or recommendations expressed in this material are those of the author(s) and do notnecessarily reflect the views of the
one order of magnitude lowerwhen compared to a Raspberry Pi setup. Another platform is Forabot [31], an accessible robotic system for the imaging andsorting of microscopy fossils. In this article, we present a platform that takes advantage of these recent trends by producingan affordable, reproducible, and easy-to-use 3D imaging system. III. E MBEDDED D ESIGN For the implementation of the mussel imaging system, an ESP32-CAM module was mounted on a servo-motor platform.The ESP32-CAM is a compact camera module that features the ESP32-S chip, priced at approximately $10. It includes anOV2640 camera, several GPIOs for connecting peripherals, a microSD card slot for storing captured
. Inaddition to eight questions about students’ background and their QC learning experience, thepre-survey (shown in Table 2) includes five knowledge test questions, such as “Which of thefollowing can form a universal set of quantum gates?”. The five-point attitude questionnaire,adapted from Hanrahan et al. [42]’s work, consists of seven items that explore students’self-efficacy and identity related to QC. The post-survey retains the knowledge test and attitudequestionnaire from the pre-survey and adds a seven-item engagement and usability questionnaire,adapted from Brooke [43]’s study (shown in Table 3). It also includes three open-ended questions,such as “How did the Spin-Quantum Gate Lab aid your understanding of quantum computingconcepts?” and
, USA, in 1999, a M.S. degree in Computer Science from the AFIT, Wright-Patterson Air Force Base, OH, USA, in 2003, and a Ph.D. degree in Computer Science from the University of Texas at San Antonio, San Antonio, TX, USA, in 2009.Dr. David Long, Air Force Institute of Technology David S. Long is an Assistant Professor of Systems Engineering at the Air Force Institute of Technology and a Principal Systems Engineer at KBR. He previously served 25 years in the US Air Force in a variety of positions. His BS Industrial Engineering and Management (North Dakota State University), MS Engineering (California State University, Northridge), and PhD Engineering Systems (Massachusetts Institute of Technology).Ralucca A. Gera
Projects (VIP) Program at Purdue University: A Research Experience for Undergraduate Students,” in Conference Record - Asilomar Conference on Signals, Systems and Computers, IEEE Computer Society, 2021, pp. 1141–1145. doi: 10.1109/IEEECONF53345.2021.9723360.[14] H. Li, A. Öchsner, and W. Hall, “Application of experiential learning to improve student engagement and experience in a mechanical engineering course,” European Journal of Engineering Education, vol. 44, no. 3, pp. 283–293, May 2019, doi: 10.1080/03043797.2017.1402864.[15] S. Frerich et al., “Engineering Education 4.0 Excellent Teaching and Learning in Engineering Sciences,” 2016.[16] W. T. Botelho, M. D. G. B. Marietto, J. C. D. M. Ferreira, and E. P
] Whitley, Heather P., et al. "Practical team-based learning from planning to implementation."American Journal of Pharmaceutical Education 79.10 (2015): 149.[3] Michaelsen, Larry K., Arletta Bauman Knight, and L. Dee Fink, eds. Team-based learning: Atransformative use of small groups in college teaching. Taylor & Francis, 2023.[4] Michaelsen, Larry, Michael Sweet, and Dean Parmelee. "Team-Based Learning:Small–group Learning’s Next Big Step: New Directions for Teaching and Learning." (2011).[5] Michaelsen, L. K. "The Essential Elements of Team-Based Learning." Team-Based Learning:Small Group Learning's Next Big Step/Jossey-Bass (2008).[6] Becker, Gary S. The economic approach to human behavior. The University of ChicagoPress, 1976.[7] Elstad
Engineering for supporting this work.References [1] S. O’Leary, “Impact of Entrepreneurship Teaching in Higher Education on the Employability of Scientists and Engineers,” vol. 26, no. 6, pp. 431–442. [Online]. Available: https://doi.org/10.5367/ihe.2012.0128 [2] A. P. Carnevale, M. L. Fasules, and K. Peltier Campbell, “Workplace Basic: The Competencies Employers Want.” [Online]. Available: https://repository.library.georgetown.edu/handle/10822/1062942 [3] N. Duval-Couetil, T. Reed, and S. Haghighi, “Engineering Students and Entrepreneurship Education: Involvement, Attitudes and Outcomes,” vol. 28, pp. 425–435. [4] A. Finley, “How College Contributes ”to” Workforce Success: Employer Views on What Matters Most.” [Online]. Available
EOPframework is significantly more detailed and concrete, and is intended to be used as a tool byeducators and researchers during curriculum development and evaluation 23,24,25,26 , providing aconsistent and thorough categorization of different sustainability-related learning outcomes in thecontext of engineering. In other words, the EOP framework can be used to support and evaluatevarious strategies for improving higher-level education (all eight of the change strategies thatHenderson et al. 4 define for facilitating change in STEM education, for example), whereasaccreditation criteria are designed to define a minimum required level of sustainability educationin a policy context (in Henderson et al.’s formulation 4 , the ‘Enacting’ approach).3
used by other practitioners. If other teachers do implement a similar activity, wewould be interested in collaborating to compare effects in different contexts.References [1] L. D. Feisel and A. J. Rosa, “The role of the laboratory in undergraduate engineering education,” Journal of engineering Education, vol. 94, no. 1, pp. 121–130, 2005. [2] G. Rayner-Canham and M. Rayner-Canham, “The heuristic method, precursor of guided inquiry: Henry armstrong and british girls’ schools, 1890–1920,” Journal of Chemical Education, vol. 92, no. 3, pp. 463–466, 2015. [3] J. J. Schwab, “Inquiry, the science teacher, and the educator,” The school review, vol. 68, no. 2, pp. 176–195, 1960. [4] M. Pedaste, M. M¨aeots, L. A. Siiman, T. De Jong, S
applicabilityAcknowledgmentThis material is based upon work supported by the National Science Foundation Grant #2308531and #2308532 titled “Collaborative Research: Track 4: Developing Equity-Minded EngineeringPractitioners (DEEP)”. We acknowledge the UIUC DEEP research team for their development ofthe COI instrument and for training Morgan State University coders in its application. Anyopinions, findings, and conclusions or recommendations expressed in this material are those of theauthor(s) and do not necessarily reflect the views of the National Science Foundation.References[1] S. D. Castle et al., "Systemic advantage has a meaningful relationship with grade outcomes instudents’ early STEM courses at six research universities," in Proc. Int. J. STEM Educ. Conf., vol
forsatisfactory work equivalent to a “high 80’s” grade in a traditional grading system. Full credit isawarded for “satisfactory” work and no credit is given for work that does not meet that standard.Students are allowed unlimited revision to the first of each type of deliverable, but the timeframe is limited to one week. To encourage quality, timely work, students are only allowed torevise two subsequent deliverables.The impact of specifications grading on learning is measured both qualitatively andquantitatively. Student attitudes and behaviors are documented to determine whether the use ofspecifications grading improves teamwork and yields a shift from grade-centric to learning-centric behaviors. The quality of major deliverables is measured using
, while Cortez & Schmelzenbach[9] shows their potential in MATLAB coding assistance. Further educational applications includeAI's integration into academic advising [10], engineering education [11], and cognitive flexibilitydevelopment for smart city initiatives [12]. While some industry applications, such as Fernandeset al.'s [13] DAVE system, demonstrate custom GPT-powered solutions for BIM environments,our study uniquely focuses on teaching students to develop and deploy their own custom AIchatbots. Through our approach, students learn to create chatbots that can be deployed on theirown websites and easily shared with stakeholders, without requiring extensive programmingknowledge. By emphasizing tailored prompt engineering and leveraging
students’ EM three Cs, and students’ increased appreciation of multiculturalism through in-person cultural immersion experiences.Introduction s engineering demand rises and globalization intensifies, fostering multiculturalism is vital forAglobal solutions. Transformative learning theory (TLT), developed by Dr. Jack Mezirow in the 1970s, explains how adult learners shift perspectives when confronted with challenging experiences[1,2]. While TLT guides culturally responsive teaching in international teacher training, it remains underutilized in science, technology, engineering, and math (STEM) contexts [1]. This research study explores the impact of international experiences on the development
learning. the dynamic and flexibleformat of the Open Educational Resource allows for continuous updates and the integration of newchapters and content ensuring that the material remains current.AcknowledgementsThe authors would like to thank Stephanie Fletcher, Head of Discovery, Metadata, and Technical Servicesat the Galvin Library, and Muhammad S. Khan, Instructional Designer at Illinois Tech’s Center forLeaning Innovation, for their invaluable support in developing this educational material. The authors arealso especially grateful to Sean Murphy, Systems and Open Infrastructure Librarian, and his team at theGalvin Library’s Exploration Space for supporting students with 3D printing and creating a supplementallearning module focused on
could apply to manycommunities. Figure 1 shows their conversation centering on requirements related to funding andinfrastructure beginning 42 minutes into the session.Figure 1: Team 1’s talk during their initial discussion of requirements, with color coding todraw attention to how they use, share, and distribute their agency in framing the problem.This discussion is characterized by both its tentativeness, with abundant use of modal verbsshowing possibility and potential control, but also some caution, marked by lower agencyconstruction using modal verbs of obligation. The students consistently share their agencythrough common use of the first person plural pronoun, “we,” and by referencing thecommunity, problem context, and stakeholders (“they
procedures for reference.To this end, the theoretical community of engineering education has conductedcontinuous exploration of the topic, trying to summarize and refine the continuousimprovement models. Mary Besterfield-SACRE and Larry J. Shuman were supportedby NSF to conduct a study [7]. They have developed a theoretical framework thathelps to better understand educational outcome based on Bloom’s Taxonomy.Through this framework, each educational outcome is refined into a series ofattributes, and engineering faculty can integrate educational outcome into engineeringprogram through these attributes. Sarapin M I proposed the five-stage programassessment model [8]. Strong S, etc., proposed the eight-stage program assessmentmodel [9]. According to
technological policy development, stakeholder voices and the intertwined cultural, social, and political impacts. My dissertation focused on policy design processes for automated driving systems (ADS). ©American Society for Engineering Education, 2025 Engineering U. S. Responsible AI Policy, A Survey, 2020-2025AbstractThe increase in public access to large-scale AI and the enormous variety of current and potentialapplications has created widespread excitement and sparked concern over unknown andunintended consequences. While AIs rapidly advance into useful tools across broad applications,we do not yet understand AIs’ potential harms, social impacts, and outcomes. The public isincreasingly using free AI
important step towards regularization ofthese topics in education. At the same time, we recognize that a cultural shift needs to occur forengineering educators to both feel comfortable and equipped to teach decolonial systems design,as well as having the tools to effectively do so.References[1] S. Winberg and C. Winberg, “Using a social justice approach to decolonize an engineering curriculum,” IEEE Global Engineering Education Conference, EDUCON, pp. 248–254, Jun. 2017, doi: 10.1109/EDUCON.2017.7942855.[2] D. G. Carmichael, “Bias and decision making – an overview systems explanation,” Civil Engineering and Environmental Systems, vol. 37, no. 1–2, pp. 48–61, Apr. 2020, doi: 10.1080/10286608.2020.1744133.[3] M. Agyemang, D
during her Ph.D. studies at the University of Illinois at Urbana-Champaign, fostering the next generation of Hispanic engineers.Julie E Lorenzo, University of Illinois at Urbana - ChampaignDr. Natasha Mamaril, University of Illinois Urbana-Champaign Natasha Mamaril is currently the Associate Director for Undergraduate Research in The Grainger College of Engineering at the University of Illinois at Urbana-Champaign. Her research interests include academic motivation and the assessment of student learning. She has a B. S. in Chemical Engineering and obtained her M.S. and Ph.D. degrees in Educational Psychology from the University of Kentucky. She also has nine years of industry experience
, “Exploring inclusive pedagogy,” Br. Educ. Res. J., vol. 37, no. 5, pp. 813–828, Oct. 2011, doi: 10.1080/01411926.2010.501096.[8] D. E. Chubin, G. S. May, and E. L. Babco, “Diversifying the engineering workforce,” J. Eng. Educ., vol. 94, no. 1, pp. 73–86, 2005, doi: 10.1002/j.2168-9830.2005.tb00830.x.[9] G. Light, S. Calkins, M. Luna, and D. Drane, “Assessing the Impact of a Year‐Long Faculty Development Program on Faculty Approaches to Teaching”.[10] R. M. Felder and R. Brent, “The National Effective Teaching Institute: Assessment of Impact and Implications for Faculty Development,” J. Eng. Educ., vol. 99, no. 2, pp. 121– 134, Apr. 2010, doi: 10.1002/j.2168-9830.2010.tb01049.x.[11] Y. Steinert et al., “A systematic review of faculty
Paper ID #47453Engineering Connection: Growing Sustainable Outreach for Graduate StudentsSara C. Kern, Pennsylvania State University Sara Kern (she/her) is an Engineering Librarian at Penn State University. She earned her MA in history from Penn State and her MSLIS at Syracuse University. Her research interests include inclusive library outreach and instruction.Ms. Denise Amanda Wetzel, Pennsylvania State University Denise A. Wetzel is the Eric N. and Bonnie S. Prystowsky Early Career Science Libraries Professor and Science & Engineering Librarian at Pennsylvania State University Libraries. She is also the Patent and
change.The interview data indicates that larger and more well-established disciplines and departments,particularly those at R1 institutions, may be more heavily siloed, prone to taking on an“institutional mantle” that prioritizes preservation, and have strongly embedded scholar-academic belief systems [24]. For example, one participant mentioned characteristics such as“authoritative textbook[s],” the “old guard” that consists of “long-standing, really successful andinfluential people” and “legendary figures,” and a sense of “history and heritage.” Anotherparticipant reflected that their colleagues who were invested in traditional approaches “genuinelywere opposed to these changes more philosophically.” One changemaker described how suchqualities can
, which will structure the results:STEM-Related Skills and Content (Table 2); Student Feelings, Attitudes, Agency (Table 3);People, Community, and Social Aspects (Table 4); Characteristics of the Course (Table 5); andOther (Table 5). As can be seen in Figure 1, students’ responses were most frequently coded oneor more times for Characteristics of the Course (47% of codes); 37% of codes referencedSTEM-related skills and content. Eight percent of codes related to people, community, or othersocial aspects as what they liked best about the e4usa class. Four percent of codes discussedstudents’ feelings, attitudes, or agency, and 4% of codes were “other,” most of which were noresponse.To code question 4 regarding the student’s desired profession(s