has not yet been implemented, this work serves as a foundational frameworkto guide future efforts. A subsequent "Phase-2" paper will report on the results and outcomesafter running the program, including its impact on student retention, engagement, andprofessional development. By sharing this initial plan, we aim to foster discussion and gatherfeedback that can further refine the initiative before its implementation.References[1] T. N. Bauer and B. Erdogan, "Organizational socialization: The effective onboarding of new employees," APA Handbook of Industrial and Organizational Psychology, vol. 3, pp. 51–64, 2011.[2] S. Munir and M. Zaheer, "The role of extracurricular activities in increasing student engagement," Asian Association of
Yaxes to coordinates 200 and 200 mm, the command string TABLE III. ROBOT MOVING CHARACTERISTICS‘!9923403001E001E012C00030D4000030D40@@’ will be Speed Acceleration Decelerationsent, where : 500 mm/s 0.3G 0.3G • ‘!’ is the header • ‘99’ is the station number • ‘234’ is the massage id • ‘03001E001E012C00030D4000030D40’ is the content of the command. • ‘@@’ means the checksum is disabled
, insights, and experiences. We also extend our appreciation to the ExpandingComputing Education Pathways (ECEP) Alliance community for their ongoing collaboration,support, and commitment to broadening participation in computing.References:[1] E. van Laar, A. J. A. M. van Deursen, J. A. G. M. van Dijk, and J. de Haan, “The relation between 21st-century skills and digital skills: A systematic literature review,” Computers in Human Behavior, vol. 72, pp. 577–588, July 2017, doi: 10.1016/j.chb.2017.03.010.[2] N. Khan, A. Sarwar, T. B. Chen, and S. Khan, “Connecting digital literacy in higher education to the 21st century workforce,” Knowledge Management & E-Learning, vol. 14, no.1, pp. 46–61, Mar. 2022, doi: 10.34105
instructors, willhelp ensure that it meets the evolving needs of the learners and educators in the digital age.Acknowledgements:This work was financially supported by Affordable Materials Grants (round 24, Grant # M238),sponsored by the Board of Regents of the University System of Georgia. The authors would alsolike to acknowledge the contributions of Jessica Susanto, an undergraduate student at KennesawState University, who has helped with the App development, and contributions of Sheila Hill, andDr. Hoseon Lee in the process of base question development.References: [1] B. J. Skromme, R. Gupta, T. Nasim, C. J. Redshaw, B. Miller, P. Andre, H. Erives, D. Bailey, G. Wilkins, S. K. Bansal, M. A. O'Donnell, and W. M. Barnard, "Advances in
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Accrediting Engineering Technology Programs: 2024–2025. [Online].Available: https://www.abet.org/wp-content/uploads/2023/05/2024-2025_ETAC_Criteria.pdf[2] M. Shaikh, “How to form a software engineering capstone team?,” Heliyon, vol. 7, no. 4, p.e06629, 2021, doi: 10.1016/j.heliyon.2021.e06629.[3] G. Elwell, T. Dickinson, and M. Dillon, “A postgraduate capstone project: impact on studentlearning and organizational change,” Industry and Higher Education, vol. 36, no. 3, pp. 334–343, 2021, doi: 10.1177/09504222211036584.[4] S. Pociask, D. Gross, and M. Shih, “Does team formation impact student performance, effortand attitudes in a college course employing collaborative learning?,” Journal of the Scholarshipof Teaching and Learning, vol. 17, no. 3, pp
Switzerland, 2024, pp. 499–510. doi: 10.1007/978-3-031-51979-6_52.[2] M. X. Rodriguez-Paz, J. A. González-Mendivil, I. Zamora-Hernández, and G. Sayeg-Sánchez, “Students’ Perceptions on the Use of Artificial Intelligence Tools in Engineering Education for the Digital Transformation,” in 2024 IEEE Global Engineering Education Conference (EDUCON), Kos Island, Greece: IEEE, May 2024, pp. 1–7. doi: 10.1109/EDUCON60312.2024.10578326.[3] X. Wu, R. Duan, and J. Ni, “Unveiling security, privacy, and ethical concerns of ChatGPT,” J. Inf. Intell., vol. 2, no. 2, pp. 102–115, Mar. 2024, doi: 10.1016/j.jiixd.2023.10.007.[4] S. Ren and A. Wierman, “The Uneven Distribution of AI’s Environmental Impacts
thestudent must develop the following disciplinary and transversal skills: Disciplinary competencies. Performs theoretical and experimental modeling of process (SMR20301B), design strategies to automate process (SMR0302B), and implement automation proposals (SMR0304B). Transversal competencies. Solve real problems and questions, based on valid and reliable methodologies (SEG0502C), and evaluate the own and other´s reasoning based on the identification of fallacies and contradictions (SEG0503C).Moreover, prior knowledge of modeling and automation, and control system design is required.Then, designers identified three curricular courses as prerequisites: MR2023 Modeling and Automation. This intermediate
, asleaving the app requires some effort. The overall aim of ChargerCare, including futureexpansions, is to enhance awareness among the university community of the available resourcesand mental health. Enhancing awareness not only increases access, but can serve to de-stigmatizemental health issues, creating a better community for the future.References[1] Brown, M. L., Trotter, C. E., Huang, W., Contreras, C. K., DeMuth, W. D., Bing, E. G. (2024). COVID-19 andmental health among college students in the southwestern United States. Journal of American College Health, 72(9),3095–3102. https://doi.org/10.1080/07448481.2022.2153601”[2] S. M. Casey, A. Varela, J. P. Marriott, C. M. Coleman, and B. L. Harlow, “The influence of diagnosed mentalhealth
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expressed in this paper are those of the authors anddo not necessarily reflect the views of the NSF.References [1] A. Ehrmann, T. Blachowicz, G. Ehrmann, and T. Grethe, “Recent developments in phase- change memory,” Applied Research, Jun. 2022, doi: https://doi.org/10.1002/appl.202200024. [2] R. Azevedo, J. D. Davis, K. Strauss, P. Gopalan, M. Manasse, and S. Yekhanin, “Zombie memory: Extending memory lifetime by reviving dead blocks,” in Proceedings of the Inter- national Symposium on Computer Architecture (ISCA), 2013. [3] H. Luo et al., “Write Energy Reduction for PCM via Pumping Efficiency Improvement,” ACM Transactions on Storage, vol. 14, no. 3, pp. 1–21, Aug. 2018. [4] J. Fan, S. Jiang, J. Shu, Y. Zhang, and W. Zhen
proposed in [12], where S-2: Programs that significantly support at least one universitymission; A-4: Access provided to the entire University community; U-3: 1,000-3,000 members; F-4: greater than 20,000 square feet; M-3:Faculty/Professionally managed with a hybrid (professional and students) staffpractices. We would like to highlight two responses from participants. One remarked, “It was my first exposureto generative AI (GenAI) backend, and despite only running the code, I learned how to give instructions to AImodels.” Another participant noted, “I learned new things that were taught in a really easy-to-understand way.The source code also allowed me to explore how theoretical knowledge can be applied.”On the other end of the spectrum, we
Metaphors:Implications for Educators,” International Journal of Engineering Education Vol. 35, No. 1(A), pp. 2–14,2019.[3] N. Hansu, K. Yao, A. Al Weshah, O. Olaogun, S Wang, “Work in Progress: The Electric Circuit ConceptsDiagnostic (ECCD),” Paper ID# 36966, ASEE Annual Conference, July 2022.[4] A. Espera, N. Pitterson, “Exploring Students’ Learning of Electric Circuits in Real-world Context,” PaperID# 32602, ASEE Virtual Conference, July 2021.
, weintegrate real data with a context and a purpose in order to give learners experience with genuinedata and illustrate the usefulness of data science skills in the real world 16 .3.1 Survey Data CollectionTo evaluate the impact of real-world data integration, we administered a survey to the studentsthat enrolled in Computer Sciences classes and/or workshops developed at Florida InternationalUniversity. The survey was designed to measure student engagement, confidence, and motivationin data-rich learning environments. We mapped our course learning outcomes to specific surveyitems, asking students to self-assess their skills and attitudes at the beginning and end of thecourse (adapted from 17 ’s approach). The full survey instrument is provided in
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Look at Hartford Civic Center Coliseum Collapse,” J. Perform. Constr. Facil., vol. 15, no. 1, pp. 31–36, Feb. 2001, doi: 10.1061/(ASCE)0887- 3828(2001)15:1(31).[2] B. Jakobsen, “The Sleipner accident and its causes,” Eng. Fail. Anal., vol. 1, no. 3, pp. 193– 199, Oct. 1994, doi: 10.1016/1350-6307(94)90018-3.[3] M. S. Kleine, K. Zacharias, and D. Ozkan, “Contextualization in engineering education: A scoping literature review,” J. Eng. Educ., vol. 113, no. 4, pp. 894–918, 2024, doi: 10.1002/jee.20570.[4] “MATLAB.” Accessed: Jan. 15, 2025. [Online]. Available: https://www.mathworks.com/products/matlab.html[5] V. Cox, “Exploratory Data Analysis,” in Translating Statistics to Make Decisions, Apress, Berkeley, CA, 2017, pp. 47
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an additional group of undergraduate STEM majors werealso involved in the design and pilot of all activities. Four goals frame this project and research.These are to learn how (1) high school students’ knowledge of STEM careers and STEMdomains change across their participation; (2) the high school students improve their interest inSTEM career attainment and their self-efficacy for career relevant skills; (3) the undergraduateSTEM majors’ views about Communities of Learners of Underrepresented Discoverers developacross their participation; and (4) teachers’ knowledge of current STEM domains, skills, andcareers change. To examine the impact of the programming on each stakeholder group, PEAR’sCIS-S and CIS-E surveys, interviews, activity
inDesign Process Experience a miniaturized design process, preparing pairs: each student designs for the them to experience a similar process in longer needs of a partner project(s) in the course A lecturette on design, design Understand that engineering design is one of many thinking, and engineering design Hyperlink design disciplines, and how all design disciplines share common processes, tools, and ways of reasoning about the world in order to create value2. Empathy & Students will
during the class session before each exam. In theactivity, students compete in teams to answer questions quickly. Background music plays forapproximately 1 minute while the teams work to find the correct response. Teams must agree onan answer and turn it in before the music stops. No points are awarded for late or incorrectresponses. Correct responses earn the number of points the team wagered on that response,usually indicating the level of confidence they have in their answer. During the first half, teamscan wager 5, 3, or 1 point(s) once in each round of three questions. During the second half, thewagers change to 6, 4, or 2 points per question per round. Points are recorded in a spreadsheet,and team point totals are announced at half-time
: Creating bridges between formal and informal resources in the classroom. The Agricultural Education Magazine, 2015. 87(5): p. 14-16.11. Ault Jr, C.R., Achieving querencia: Integrating a sense of place with disciplined thinking. Curriculum Inquiry, 2008. 38(5): p. 605-637.12. Williams, D.R. and J.J. Vaske, The measurement of place attachment: Validity and generalizability of a psychometric approach. Forest science, 2003. 49(6): p. 830-840.13. Kudryavtsev, A., R.C. Stedman, and M.E. Krasny, Sense of place in environmental education. Environmental education research, 2012. 18(2): p. 229-250.14. Semken, S. and E. Brandt, Implications of sense of place and place-based education for ecological integrity and cultural
Annual Conference & Exposition. 2007.[6] Ziaeefard, S. (2024, June), An Uncharted Territory: Removing Dependency on GradingRubric in Senior Design Projects Paper presented at 2024 ASEE Annual Conference &Exposition, Portland, Oregon. 10.18260/1-2—46568[7] J. Hurley, Rubrics and the dehumanization of Education. Medium, August 12, 2020.https://profhurley.medium.com/rubrics-and-the-dehumanization-of-education-19f1907860e6[8] Rubrics and the Dehumanization of Education, Professor Jennifer Hurley, Aug 12, 2020,Rubrics and the Dehumanization of Education | by Professor Jennifer Hurley | Medium[9] Bannerot, R. (2004, June), A Just In Time Model For Technical Communications and TheUse Of Grading Rubrics In A Multidisciplinary Capstone Design
potential.Acknowledgements This material is based upon work supported by the National Science Foundation underAward No. 2206864 and U.S. Department of Agriculture National Institute of Food andAgriculture under Award No. 2023-69018-39949. Any opinions, findings, and conclusions orrecommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation and/or U.S. Department of Agriculture.References[1] Texas Education Agency. February 18, 2025; Available from: https://tea.texas.gov/.[2] Cummins, J., Language, power, and pedagogy: Bilingual children in the crossfire. Vol. 23.2000: Multilingual Matters.[3] Palmer, D.; Martínez, R.A.; Teacher agency in bilingual spaces: A fresh look at
-based assessment,” 2012.[3] E. Lee, A. R. Carberry, H. A. Diefes-Dux, S. A. Atwood, and M. T. Siniawski, “Faculty perception before, during and after implementation of standards-based grading,” Australasian Journal of Engineering Education, vol. 23, no. 2, pp. 53–61, 2018.[4] L. Singelmann, Y. Wang, and D. Christensen, “A Self-Study of the IRE 5-Point Grading Scale for Promoting Growth Mindset,” in 2023 ASEE Annual Conference & Exposition, 2023.[5] E. L. Hackerson et al., “Alternative grading practices in undergraduate STEM education: a scoping review,” Disciplinary and Interdisciplinary Science Education Research, vol. 6, no. 1, p. 15, 2024.[6] D. Clark and R. Talbert, Grading for growth: A guide to
Learning that breaks machine learning conceptsinto data, tasks, algorithms, and assessment [8] and the Machine Learning Education Frameworkthat describes relevant knowledge, skills, and attitudes that should be taught about ML/AI [7].One of the key skills identified in the Machine Learning Education Framework [7] is “MLProblem Scoping”, or determining if ML/AI is an appropriate tool for the problem – a skill thatmany students struggle with. Although ChatGPT and other GAI tools have many strengths, theyalso have (sometimes unexpected) weaknesses. A variety of publications document some ofthese weaknesses both generally (e.g. Borji’s “Categorical Archive of ChatGPT Failures” [1])and within the context of engineering education (e.g. Nikolic et al.’s
for technical elective AI/ML courses taken during the senioryear.Related WorkThere have been different attempts at incorporating the machine learning curriculum in college-level courses or degrees. Various papers highlight the integration of AI, ML, and cybersecurityinto educational curriculums, reflecting the increasing importance of these fields. The following isa representative set of related work. • Machine Learning: An Undergraduate Engineering Course by S. Khorbotly [5]. This paper discusses the development of an undergraduate machine learning course, including the challenges faced and the balance between breadth and depth of topics. • Infusing Data Science into Mechanical Engineering Curriculum with Course-Specific
Industry 5.0. The experts' agreement reinforces the need for a holistic approach that integratescognitive, functional, social, and meta-competencies. The slight variation in agreement levelssuggests that while all competencies are relevant, some areas, like "Business Literacy," mightrequire further exploration of how they fit within Industry 5.0's multidimensional requirements. Experts' Agreement on Relevance and Classification of Competencies 100% 80% 60% 40% 20% 0% Analysis and
Paper ID #45826WIP: The perception of effectiveness of Supplemental Instructors (SI) oncourse learning and engineering identityDr. Eric J Steward, University of South Alabama Associate Dean of Undergraduate Affairs in the College of EngineeringProf. Sean Walker, University of South Alabama Dr. Walker is an Assistant Professor at the University of South Alabama in Mobile, AL. He received his Ph.D. in Systems Design Engineering from the University of Waterloo, in Waterloo, Canada, in 2012.Rachel Chai, University of South Alabama Rachel S. Chai was born in Ocean Springs, MS in 1996. She received her B.S. and M.S. in Civil