syllabi, materials, activities, and curriculum; Rileyencourages liberative pedagogies, involving “relating course material to students’ experience” (p.144) and treating “students as authorities in the classroom” (p. 147), since “ignoring oppressiondoesn’t work” (p. 141). To support the process of instructor reflexivity, Beverly and Gillian-Daniel [63] writeabout the Inclusive Professional Framework (IPF), which “center[s] a reflective process, whichin turn leads to self-reflexivity” (p. 1). Dewsbury [64] also suggests an adapted version of a“privilege walk” [65] as a professional development activity to foster “deep reflection on socialinequities” (p. 1).Student reflection It is also important to prompt and guide students to reflect
engineering.ConclusionThis study described underrepresented students’ own perceptions of sense of belonging,highlighting the multiple and varied ways that students describe what belonging in engineeringmeans to them. Responses demonstrated the ways in which students described belonging asmeaning (a) having competence, (b) positive experiences in the learning environment, and (c)finding meaningful social connections. These findings, part of a broader mixed-methods study onsense of belonging in engineering students, can inform further research, helping to contextualizestudent interpretations of belonging and providing strategies to improving learning environmentsto support student sense of belonging.References[1] C. E. Foor, S. E. Walden, and D. A. Trytten, “’I wish
building andcommunication, as well as better project management.References[1] ABET, *Criteria for Accrediting Engineering Programs*, 2020. [Online]. Available:https://www.abet.org/accreditation/accreditation-criteria/criteria-for-accrediting-engineering-programs-2020-2021/. [Accessed: Jan. 16, 2025].[2] N. P. Gaunkar, N. Fila, and M. Mina, “Broadening engineering perspectives by emphasizingthe human side of engineering,” in *Proc. 2020 IEEE Frontiers in Education Conf. (FIE)*,Uppsala, Sweden, 2020.[3] C. A. Roberts and S. M. Lord, “Making engineering socio-technical,” in *Proc. 2020 IEEEFrontiers in Education Conf. (FIE)*, Uppsala, Sweden, 2020. [Online]. Available:https://doi.ieeecomputersociety.org/10.1109/FIE44824.2020.9273957[4] S. H
) for funding the BP-AE and ENBP-AE programs, respectively. We alsothank the graduate students and faculty mentors for their dedication and the program participantswhose efforts have been vital to the program’s success. I. References1 “Prior releases.” [Online]. Available: https://ncses.nsf.gov/pubs/nsf22300/prior-releases2 Hewlett, J. A. (2018). Broadening participation in undergraduate research experiences (UREs):The expanding role of the community college. CBE—Life Sciences Education, 17(3), es9.3 Chang, M. J., Sharkness, J., Newman, C., & Hurtado, S. (2010, May). What matters in collegefor retaining aspiring scientists and engineers. In annual meeting of the American EducationalResearch Association, Denver, CO.4 Espinosa, L
focuson developing mechanisms for collecting post-graduation feedback to evaluate the lasting effectsof this approach on students’ ability to meet industry demands and its contribution to thecontinued advancement of safety practices.References[1] R. Sehsah, A. H. El-Gilany, and A.M. Ibrahim, “Personal protective equipment (PPE) use and its relation to accidents among construction workers,” Med Lav, vol. 111, no. 4, pp. 285-295, 2020.[2] Y. Ding, X. Luo, “Personal Protective Equipment Detection in Extreme Construction Conditions,” arXiv preprint arXiv:2307.13654. 2023.[3] S. R. Brunhaver, R. F. Korte, S. R. Barley, and S. D. Sheppard, “Bridging the Gaps between Engineering Education and Practice,” in University of Chicago
an increasingly AI-driven society.AcknowledgmentThis material is based upon work supported by Nanyang Technological University under theURECA Undergraduate Research Programme in Singapore. Any opinions, findings, conclusions,or recommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of URECA. We gratefully acknowledge the contributions of all researchers andstudents who participated in this study.I would also like to express my sincere appreciation to my research supervisor, Dr. Ibrahim H.Yeter, for his invaluable support and guidance. I am truly fortunate to have met Prof. Yeter,whose encouragement to explore my research interests, along with his generous sharing of timeand resources
the same geometry as the Unit Ops Lab, and the sameinput streams as the miniaturized exchanger. The summary report generated from AspenPlus/EDR is shown in Table 2.Table 2: Exchanger Geometry and Raw Data from 3D-Printed and Simulated Heat Exchangers Parameter Experimental Simulated Tube ID (mm) 20 33.88 Tube OD (mm) 23 38 Tube Length (mm) 90 607 Shell OD (mm) 46 76.2 Cold Water Flowrate (g/s) 23.2 23.2 Inlet Cold Water Temperature (°C
: Atmospheric parameters for the propylene chemical spill simulations Parameter Symbol Value Unit Annual Wind Speed U 1 (2.25) to 5 (11.25) m/s (mph) Wind Measuring Height 3 M Ground Roughness Open Country Cloud cover (Cloudy level) 40 % Outside/Ambient Air T 21.2 (70.17) C (F) Temperature Stability class D Relative
Paper ID #47437Capstone Project: Development of FDM 3D Printer Tool for Industrial RobotJeritt Williams, Illinois State University Jeritt Williams is an assistant professor of Engineering Technology at Illinois State University, where he teaches applied industrial automation and robotics.Dr. Jaby Mohammed, Illinois State University Jaby Mohammed is a faculty at Illinois State University. He received his PhD in Industrial Engineering from University of Louisville (2006), masters in Industrial Engineering from University of Louisville (2003) and also a masterˆa C™s in business administr
Piaget. McGraw-Hill (1971).4. Cherney, J. L. Ableism and Intersectionality: A Rhetorical Analysis. In The Palgrave Handbook of Disability and Communication (pp. 99- 111). Cham: Springer International Publishing (2023).5. Lyons, R., & Roulstone, S. Well-being and resilience in children with speech and language disorders. Journal of Speech, Language, and Hearing Research, 61(2), 324-344 (2018). 6. Sunderajan, T., & Kanhere, S. V. Speech and language delay in children: Prevalence and risk factors. Journal of family medicine and primary care, 8(5), 1642-1646 (2019). 7. Bishop, D. V., & Edmundson, A. Language-impaired 4-year-olds: Distinguishing transient from persistent impairment. Journal of
the National Science Foundation under Grant No.2229260. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation.References[1] K. VanLehn, “The relative effectiveness of human tutoring, intelligent tutoring systems, andother tutoring systems, ” Educational Psychologist, vol.46, no. 4, pp. 197-221, 2.11.[2] A. Celepcikay, and Y. Yildirim, “Artificial intelligence and machine learning applications ineducation,” Eurasian Journal of Higher Education, vol. 2, no. 4, 2021.[3] X. Wang, N. Anwer, Y. Dai and A. Liu, “ChatGPT for design, manufacturing, and education,“Proceedings of the 33rd CIRP Design Conference, 2023, pp
. We acknowledge the contributions of Erin Cech, Lea Marlor, Karen Nortz, andGracie Judge.References[1] ABET Accreditation Criteria https://www.abet.org/accreditation/accreditation- criteria/criteria-for-accrediting-engineering-programs-2025-2026/ Accessed January 10, 2025[2] National Society of Professional Engineers (NSPE) https://www.nspe.org/ Accessed January 10, 2025[3] IEEE Code of Ethics, https://www.ieee.org/about/corporate/governance/p7-8.html Accessed January 10, 2025[4] S. M. Lord, B. Przestrzelski, and E. Reddy, “Teaching social responsibility in a Circuits course,” 2019 American Society for Engineering Education Annual Conference Proceedings, Tampa, FL, June 2019. https://peer.asee.org/33354[5] M. G
/22054952.2021.1925404.[13] C. E. Harris, M. Davis, M. S. Pritchard, and M. J. Rabins, “Engineering Ethics: What? Why? How? And When?,” J. Eng. Educ., vol. 85, no. 2, pp. 93–96, Apr. 1996, doi: 10.1002/j.2168-9830.1996.tb00216.x.[14] D. R. Haws, “Ethics Instruction in Engineering Education: A (Mini) Meta-Analysis,” J. Eng. Educ., vol. 90, no. 2, pp. 223–229, 2001, doi: 10.1002/j.2168-9830.2001.tb00596.x.[15] J. R. Herkert, “Engineering ethics education in the USA: Content, pedagogy and curriculum,” Eur. J. Eng. Educ., vol. 25, no. 4, pp. 303–313, Dec. 2000, doi: 10.1080/03043790050200340.[16] W. Loendorf, “The case study approach to engineering ethics,” presented at the 2009 Annual Conference & Exposition, 2009, pp. 14–1182.[17] L. L
math and physics as ETM requirements, they both showedsignificant correlations with GPA. That said, the R-squared value for goodness of fit was muchhigher for physics, 51.91% adjusted, than 14.15% adjusted for math. The R-squared value forEGT 121 was higher than math but lower than physics, with a value of 27.56% adjustedindicating that the EGT 121 grade may be a better predictor of success in the major than the mathgrade.Model Summary Model Summary Model SummaryGPA vs Physics Grade GPA vs Math Grade GPA vs EGT 121 Grade S R-sq R-sq(adj) S R-sq R-sq(adj) S R-sq R-sq(adj) 0.30 52.56% 51.91% 0.41 15.31
, orresearch competency development among engineering graduate students.Main and Wang [3] are two of the only researchers to date who have conducted interculturalcompetency research among engineering doctoral students, and the results demonstrate that femaleengineering doctoral students are more likely to score higher on the MGUDS-S than maleengineering doctoral students. Proficiency in multiple languages is positively associated withdoctoral students’ intercultural competency.Several additional papers assessing the current status of graduate students [3], [4] recommendhaving work/volunteer-related international experience due to the positive correlation ofinternational experiences to the development of intercultural/global competencies in their
fill out an online surveyregarding their course curriculum. The instructors self reported their institution name, coursename, course department, and average number of students enrolled in the class at one time. Thesurvey also included multiple choice, select all, and free response questions to gain further insightinto the introductory programming courses currently offered. The data collected from thesequestions included: • Programming language(s) used in the course. • Environments and tools used for instruction; e.g., Integrated Development Environment (IDE). • The strengths and weaknesses of these tools/environments. • Instructor policies on collaboration within the course.Once the surveys were completed, courses were grouped
own optimized biological system based on learnings from the first twosystems, built, and measured the improvement from their system. This module included a grouppresentation highlighting the design of each biological system. Figure 2. Breakdown of the course into three distinct modules M1-M3. Each module had lecture topics (blue box with yellow text), lab skills acquired (green box with blue text), and assessments (orange circles). For each module, the emphasis on each part of the design-build-test-learn (D-B-T-L) cycle is illustrated by arrow size. AC - analytical chemistry.Semester Project: engineering S. cerevisiae to produce beta caroteneThe 14 lab meetings were all focused on a semester long project to
feedback and suggestions. Every newacademic year, teachers had access to an improved version of the curriculum, materials and guideas compared to the prior year. As previously noted, the results focus on the latest teacher feedbackfrom 2023-24, offering the most current insights.CurriculumFig. 1 shows curriculum rating by the teachers. With the v5.0 in 2024 the largest percentage ofteachers rated the curriculum as “very good” (43.3% in 2024, 31.7% in 2023, and 38.2% in 2022).That same year the percentage of teachers who rated the curriculum “excellent” dropped slightlybut both 2024 and 2023 were significantly higher than 2022’s rating (33.3% in 2024 vs. 34.1% in2023 vs. 20.6% in 2022). While the percentage rating for “fair” remained fairly
/PFE:RED 2234256. Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect the views ofthe National Science Foundation. We would also like to thank Redwood Consulting Collectivefor their work in adapting and administering the survey, and our student respondents forcompleting it.References[1] National Science Board, “Science & Engineering Indicators 2016,” National Science Foundation, 2016.[2] K. Beddoes and A. Danowitz, “In Their Own Words: How Aspects of Engineering Education Undermine Students’ Mental Health,” in ASEE 2022 Annual Conference & Exposition, Minneapolis, 2022.[3] A. Danowitz and K. Beddoes, “Characterizing Mental Health and
Paper ID #49227Exploring changes in metacognition, time management, and wellbeing amonggen Z first-year undergraduate engineering students.Matilde Luz Sanchez-Pena, University at Buffalo, The State University of New York Dr. Matilde S´anchez-Pe˜na is an assistant professor of Engineering Education at the University at Buffalo – SUNY where she leads the Diversity Assessment Research in Engineering to Catalyze the Advancement of Respect and Equity (DAREtoCARE) Lab. Her research focuses on developing cultures of care and well-being in engineering education spaces, assessing gains in institutional efforts to advance equity and
: Critical Latinx Indigeneities and Education. Equity & Excellence in Education, 52(2–3), 219–238. https://doi.org/10.1080/10665684.2019.1672591Campbell-Montalvo, R. (2021). Linguistic Re-Formation in Florida Heartland Schools: School Erasures of Indigenous Latino Languages. American Educational Research Journal, 58(1), 32–67.Casanova, S. (2023). The “Other” Mexicans: Indigenous Yucatec-Maya Students’ Experiences with Perceived Discrimination. Journal of Latinos and Education, 22(5), 2178–2199. https://doi.org/10.1080/15348431.2022.2102496Casanova, S., Mesinas, M., & Martinez-Ortega, S. (2021). Cultural knowledge as opportunities for empowerment: Learning and development for Mexican Indigenous
University at Buffalo (UB), The State University of New York. She is also an Affiliated Faculty in the Department of Engineering Education, Department of Biomedical Engineering, Department of Pharmaceutical Sciences, and the Institute for Artificial Intelligence and Data Science.Matilde Luz Sanchez-Pena, University at Buffalo, The State University of New York Dr. Matilde S´anchez-Pe˜na is an assistant professor of Engineering Education at the University at Buffalo – SUNY where she leads the Diversity Assessment Research in Engineering to Catalyze the Advancement of Respect and Equity (DAREtoCARE) Lab. Her research focuses on developing cultures of care and well-being in engineering education spaces, assessing gains in
Foundation (NSF) CAREERAward. Phase 1 featured qualitative interviews of selected high school teachers, which informeda statewide survey in Phase 2 targeting all high school science teachers in Nebraska.Findings from this statewide study [25] revealed key deficiencies in the infrastructure, with 57%of teachers feeling unprepared to teach energy STEM topics due to limited professionaldevelopment, resources, and hands-on activity guidance aligned with Nebraska College andCareer Ready Science Standards (NCCRS-S) and the Next Generation Science Standards(NGSS) [26],[27]. Financial and travel constraints further limited access to in-person training,particularly for remote schools, emphasizing the need for alternative engagement modes. Thisstudy
-based evaluation, Student engagement in the group project, Face-to-face/Online global project-based learning, Miville-Guzman Universality-Diversity Scale(MGUDS-S), Group activity analysis, Accurate grading1. Introduction1.1 Research ObjectivesThis study aims to experimentally introduce peer assessment as a complementary method toaddress the limitations of Slack-based engagement evaluation in face-to-face group work, andto examine its effectiveness. In particular, the study investigates whether combining activityscores derived from Slack posts with peer-assessed scores can enable objective evaluation ofstudent engagement, even in a face-to-face setting. In this context, "Slack-based evaluation"refers to a method of assessing student engagement
Paper ID #48970Characterizing STEM Education in Latin America: A Literature Review onActive Learning and CompetenciesProf. Juan Sebasti´an S´anchez-G´omez, Universidad El BosqueMaria Catalina RamirezPedro Guillermo Feij´oo-Garc´ıa, Georgia Institute of TechnologyFidel Mauricio Ram´ırez Aristiz´abal, Universidad el BosqueLiliana Ahumada, Universidad el Bosque ©American Society for Engineering Education, 2025Characterizing STEM Education in Latin America: A Literature Review on Active Learning and CompetenciesJuan Sebastián Sánchez-Gómez1, María Catalina Ramirez Cajiao2, Pedro Guillermo Feijóo-García3
static int sumSkipDuplicates(Stack data) { return 0; } /** * Puts all of the digits of an integer into a stack, with the first * digit of the integer at the bottom of the stack and the last digit * of the integer at the top of the stack. */ public static Stack integerToStack(int n) { return null; } /** * Reverses a given stack, so that the top of the stack becomes the bottom * and the bottom becomes the top. */ public static void reverseStack(Stack s) { }}Below is a sample of the code that ChatGPT-4 generated for reversing a Stack. /** * Reverses a given stack, so that the top of the stack becomes the bottom ,→ and * the bottom becomes the top
to teach accessibility.Despite the wide implementation of accessibility education in higher education, limited effortsemphasized mobile accessibility. To our knowledge, Bhatia et al.’s mobile app developmentcourse was among the few reported efforts to teach mobile accessibility awareness, technicalknowledge, and empathy [15]. They used a combination of guest lectures, lectures, programmingassignments, and experiential activities to achieve these learning goals. El-Glaly et al. developedmobile apps for accessibility education [16]. However, they can be used only for experienced CSstudents and developers since they rely on technical knowledge of mobile app programming andparticularly as they require the installation of Android Studio. The
fostering durable skills,ensuring ethical AI practices, and equipping educators with the necessary tools, GenAI has thepotential to redefine engineering education and prepare students to thrive in an AI-integratedworld. References[1] J. Hutson and J. Ceballos, “Rethinking Education in the Age of AI: The Importance of Developing Durable Skills in the Industry 4.0,” J. Inf. Econ., vol. 1, no. 2, pp. 26–35, Jul. 2023, doi: 10.58567/jie01020002.[2] P. P. Ray, “ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope,” Internet Things Cyber-Phys. Syst., vol. 3, pp. 121–154, 2023, doi: 10.1016/j.iotcps.2023.04.003.[3] I. Celik, E. Gedrimiene, S. Siklander
) Course Description Occurrence CAD course(s) 9 Machine design 6 Introductory engineering course 5 Mechatronics 4 Circuits 2 1The electrical engineering students did not show any repetition of classes, with two of themincluding the responses of “none” and one stating that they did not remember due to taking a lotof classes in a short period of time. Their responses included the Circuits 2 course mentioned byone dual major, a digital controls course, a course in PCBs, an electronics course, and a CADcourse. Of the two
ProjectsThough research in intrusion detection has been around for several years, applications are alwayschanging and morphing. Current intrusion detection processes suffer from several limitationswhen focusing on highly vulnerable network intrusions. First, with the increasing volume ofnetwork traffic -- existing intrusion detection processes fail to analyze the vulnerabilities in timeto predict possible network intrusion(s) from the chain of actions of an intruder. Second, currentintrusion detection systems produce a high volume of false positive alerts. And third, currentapproaches consider every sequence of network vulnerability to predict future intrusions ratherthan analyzing the comparatively significant sequences. Instead of teaching