Organization Number Major(s) and Academic Rank Waste Collection Route Montgomery 1 Sophomore; Optimization to reduce County Computer Greenhouse Gas Footprint Environmental Science Services | Solid Waste District Porous Carbon Sorbent AIMM Labs, Inc. 2 Freshman; Regeneration for Dye Engineering and Absorption Optimization Sophomore
focus for robotics and automation research inconstruction-related studies: A bibliometric approach," Journal of Engineering, Design andTechnology, vol. 18, (5), pp. 1063–1079, 2020.[5] S. G. Tzafestas, "Synergy of IoT and AI in modern society: The robotics and automationcase," Robot.Autom.Eng.J, vol. 31, pp. 1–15, 2018.[6] S. Cai et al, "Application of automation and robotics technology in high-rise buildingconstruction: An overview," in ISARC. Proceedings of the International Symposium onAutomation and Robotics in Construction, 2018.[7] X. Xu and B. G. De Soto, "On-site autonomous construction robots: A review of researchareas, technologies, and suggestions for advancement," in ISARC. Proceedings of theInternational Symposium on Automation and
learning methods: Definitions,comparisons, and research bases. Journal of Engineering Education, 95(2), 123–138.[3] Mills, J. E., & Treagust, D. F. (2003). Engineering education—Is problem-based or project-based learning the answer? Australasian Journal of Engineering Education, 3(2), 2–16.[4] Kaipa, K., & Kidd, J. J., & Kumi, I. K., & Ringleb, S. I., & Ayala, O. M., & Gutierrez, K., &Pazos, P., & Cima, F., & Rhemer, D. M. (2024, June), Reflections of undergraduate engineeringstudents completing a cross-disciplinary robotics project with preservice teachers and fifthgraders in an electromechanical systems course, In Proceedings of ASEE Annual Conference &Exposition, Portland, Oregon.[5] Aldabbus, S. (2018
conclusions or recommendations expressed in this material are those of the author(s) anddo not necessarily reflect the views of the National Science Foundation.ReferencesBorrego, M., Mastronardi, M., Choe, H., Hartman, R. (2021) The Impact of Undergraduate ResearchExperiences on Participants' Career Decisions, Stem Education Innovations and Research, v. 22, n. 2,pp. 5 - 12.Jackson, M.C., Galvez, G., Landa, I., Buonora, P., Thoman, D.B. (2017). Science That Matters: TheImportance of a Cultural Connection in Underrepresented Students’ Science Pursuit. CBE-Life SciencesEducation, v. 15, n. 3, p. 1-12.Jin, Y.F., 2022, June. Closing the Loop: A 10-year Follow-up Survey for Evaluation of an NSF REU Site.In ASEE annual conference.Miller, C.T., Drewery, M
one to provide aprogressive learning experience.Part 1: High-Performance Computing (HPC) Architectures and Parallel ProgrammingModelsHigh-performance computing (HPC) architectures are designed to solve complex computationalproblems by leveraging the parallel processing capabilities of multiple computing resources.These architectures typically consist of clusters of interconnected nodes, each with its ownprocessor(s), memory, and storage, working collaboratively to execute tasks simultaneously.HPC systems rely on efficient interconnect networks for high-speed communication betweennodes and often utilize specialized hardware, such as GPUs or accelerators, to enhanceperformance for specific workloads. Software frameworks like MPI (Message
illustrate the broader educational valueof project-based learning in engineering classrooms. By integrating real-world applications andfostering a sense of authentic responsibility and interest, these opportunities enhance engagementby allowing projects’ significance to extend beyond the classroom. Ultimately, this workreinforces the value of experiential learning in engineering education, exhibiting how real-worldresearch opportunities can inspire creativity, resilience, and a commitment to meaningfulcontributions in STEM fields.References[1] S. M. A. Alfaro, "Linking experiential learning and real life: A design case featuringimmersive learning," Journal of Learning Spaces, vol. 11, no. 1, 2022. [Online]:https://files.eric.ed.gov/fulltext
3. M. Yilmaz, J. Ren, S. Custer, and J. Coleman, “Hands-On Summer Camp to Attract K– 12 Students to Engineering Fields,” IEEE Trans. Educ., vol. 53, no. 1, pp. 144–151, Feb. 2010, doi: 10.1109/TE.2009.2026366 4. G. Verma et al., “A synergistic approach to outreach and teaching: Combining service learning at the college level with a summer hands-on outreach program in chemical and biomolecular engineering for high school girls,” Chem. Eng. Ed., vol. 58, no. 3, pp. 179- 189, Summer 2024. https://doi.org/10.18260/2-1-370.660-134385 5. J.N.Renner et al., “Analyzing the function of cartilage replacements: A laboratory activity to teach high school students chemical and tissue engineering concepts,” Chem
, andKelsey Scalaro.This study is based upon work supported by the National Science Foundation under Grant No.(2111114/2111513). Any opinions, findings, and conclusions or recommendations expressed inthis material are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation. References[1] E. Seymour and A.-B. Hunter, Talking about Leaving Revisited: Persistence, Relocation, and Loss in Undergraduate STEM Education, Springer International Publishing, 2019.[2] K. L. Tonso, "Teams that work: Campus culture, engineer identity, and social interactions," Journal of Engineering Education, vol. 95, no. 1, pp. 25–38, Jan. 2006. [Online]. Available: https
testament to the transformative potential of education—notonly in shaping individual careers, but also in advancing industries and influencing society atlarge.References 1. Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108–116. This article discusses how businesses implement AI successfully and emphasizes managerial decision-making, similar to the focus of the course. 2. Raj, P., & Swami, S. N. (2020). Artificial intelligence and machine learning for business: A no-nonsense guide to data-driven technologies. Springer. This book provides a managerial perspective on AI technologies, making it relevant to your course’s emphasis on non-technical AI
objectives mapped to eachquestion. Occassionaly, if the questions were phrased in a confusing manner, thresholds werereduced. Overall, the cutoffs were consistent with traditional grading letter grade cutoffs.Programming exams contained specifications similar to lab assignments (as described below),with tasks summing up to particular letter grades.Example specifications for a lab assignmentTask 1. Padovan Sequence:[LP] Part 1: In a file called Padovan.txt, write the pseudocode to recursively compute the nthPadovan number . A padovan number is an extension to the Fibonacci series that is defined by therelation: P(n) = P(n-2) + P(n-3). P(0)=P(1)=P(2)=1. Clearly state your base case(s).[LP] Part 2: Implement the pseudocode in a function called unsigned
. D. Lapitan, A. L. A. Chan, N.S. Sabarillo, D. A. G. Sumalinog, and J. M. S. Diaz, “Design,Implementation, and Evaluation of an Online Flipped Classroom with Collaborative Learning Model in anUndergraduate Chemical Engineering Course. Education for Chemical Engineers 2023, 43, 58–72.[9] V. Braun and V. Clarke, “Using thematic analysis in psychology,” Qualitative Research in Psychology,3(2), 2006 Pages 77–101. https://doi.org/10.1191/1478088706qp063oa[10] B. Sharma, B. Steward, S. K. Ong, and F.E. Miguez, “Evaluation of Teaching Approach and StudentLearning in a Multidisciplinary Sustainable Engineering Course,” Journal of Cleaner Production, 2017, 142, Pages4032–4040. https://doi.org/10.1016/j.jclepro.2016.10.046.[11] https
. 3, no. 6, p. 100342, Nov. 2022, doi: 10.1016/j.xinn.2022.100342.[3] S. Weisenburger and V. Sandoghdar, “Light microscopy: an ongoing contemporary revolution,” Contemp. Phys., vol. 56, no. 2, pp. 123–143, Apr. 2015, doi: 10.1080/00107514.2015.1026557.[4] J. H. Thrall et al., “Artificial Intelligence and Machine Learning in Radiology: Opportunities, Challenges, Pitfalls, and Criteria for Success,” J. Am. Coll. Radiol., vol. 15, no. 3, pp. 504– 508, Mar. 2018, doi: 10.1016/j.jacr.2017.12.026.[5] L. Seyyed-Kalantari, G. Liu, M. McDermott, I. Y. Chen, and M. Ghassemi, “CheXclusion: Fairness gaps in deep chest X-ray classifiers,” in Biocomputing 2021, Kohala Coast, Hawaii, USA: WORLD SCIENTIFIC, Nov. 2020, pp. 232
Statistics. “Table 322.30 Bachelor's Degrees Conferred by Postsecondary Institutions by Race/Ethnicity and Field of Study: 2017-18” in Digest of Education Statistics, 2020.[2] National Academies of Sciences, Engineering, and Medicine. Barriers and Opportunities for 2-Year and 4-Year STEM Degrees, S. Malcom & M. Feder, Eds. National Academies Press, 2016.[3] V. Tinto, Leaving College: Rethinking the Causes and Cures of Student Attrition (2nd ed.). University of Chicago Press, 1993.[4] T. Strayhorn, College Students' Sense of Belonging: A Key to Educational Success for All Students (2nd ed.). Routledge: New York, NY, 2019.[5] B. Zimmerman, “Self-Efficacy: An Essential Motive to Learn,” Contemporary Educational
opinions, findings, conclusions, and recommendations expressed in this publication arethose of the author(s) and do not necessarily reflect the views of the National ScienceFoundation.Reference[1] J. R. Brown, I. Kuznetcova, E. K. Andersen, N. H. Abbott, D. M. Grzybowski, and C. D. Porter, “Full Paper: Implementing Classroom-Scale Virtual Reality into a Freshman Engineering Visuospatial Skills Course,” Jul. 2019. Accessed: Jan. 25, 2024. [Online]. Available: https://peer.asee.org/full-paper-implementing-classroom-scale-virtual-reality-into- a-freshman-engineering-visuospatial-skills-course[2] D. Moyaki, D. May, N. Hunsu, P. Irukulla, and C. T. Gomillion, “Introduction of a Virtual Reality Laboratory in a Tissue Engineering Course
intervention and non-intervention courses and developprotocols for investigating long-term strategy transfer and adoption in students’ engineeringcoursework.AcknowledgmentThis material is based upon work supported by the National Science Foundation under AwardNo. 2315777.ReferenceDattathreya, P., & Shillingford, S. (2017). Identifying the ineffective study strategies of first year medicalschool students. Medical Science Educator, 27, 295-307.Blasiman, R. N., Dunlosky, J., & Rawson, K. A. (2017). The what, how much, and when of studystrategies: Comparing intended versus actual study behaviour. Memory, 25(6), 784-792.McDaniel, M. A., & Einstein, G. O. (2020). Training learning strategies to promote self-regulation andtransfer: The knowledge
an idea/ developing an initial version/ few customers or users/ mature stage? 5. What is the size of the company? And the team? What is the composition of the team(s)?Questions about the role of the PDM are: 1. What are your duties and responsibilities as PDM? (Business, technical, and design) 2. What are the most important duties and responsibilities? 3. What is your daily routine? 4. Do you have weekly or monthly duties that are not included in your daily routine? 5. Does the team follow a defined development process? How was this process defined? 6. Do you have management duties? 7. What are the tools you use? 8. What are the challenges you face? 9. Have you worked in other companies as a PDM? 10. If yes, what
to human rightssuch as the right to health, privacy, and nondiscrimination. Audience participants brainstormed actionablerecommendations to hold accountable engineers, media organizations, and policymakers, such as ensuringdata accuracy, establishing validation protocols, and embedding transparency into AI systems. 5) Indivisibility of rightsThe final principle from Chacón-Hurtado et al.’s framework is indivisibility, the concept that no right canbe fully realized in isolation from others. To implement this principle, engineers must adopt holisticapproaches to their work, avoiding siloed strategies that might uphold one right at the expense ofviolating another [1]. At the symposium, Davis Chacón-Hurtado, Assistant Professor of Civil
]. Lloyd [19] also demonstrated that local knowledge (i.e., water quality, ruralpractices), parental employment skills, and community knowledge can make science learningmore relevant to rural children. Although this study did not specifically address rural children'sfunds of knowledge, Wilson-Lopez et al.’s [20] examined engineering-related funds ofknowledge. Their research highlighted how everyday skills and expertise, acquired throughfamilial, community, and recreational practices, facilitated the development of teamwork,systems thinking, ethical reasoning, and scientific and mathematical knowledge, which areessential for engaging in the engineering design process. While a growing body of literaturesuggests that funds of knowledge gained from
Proceedings, Salt Lake City, Utah: ASEE Conferences, 2018, p. 29935.[6] L. Malcom-Piqueux, "Transformation in the U.S. Higher Education System: Implications for Racial Equity," 2020.[7] E. Wenger, Communities of Practice: Learning, Meaning, and Identity, Cambridge University Press, New York, 1998.[8] S. U. Smith, S. Hayes, and P. Shea, "A Critical Review of the Use of Wenger’s Community of Practice (CoP) Theoretical Framework in Online and Blended Learning Research, 2000-2014," Online Learning Journal (OLJ), vol. 21, no. 1, 2017. doi: https://doi.org/10.24059/olj.v21i1.963.[9] S. R. Rosas, "Group concept mapping methodology: toward an epistemology of group conceptualization, complexity, and emergence
watch out for with respect to accuracy, assumptions, and extrapolation) 3.6 Transport: Describe and give examples of the three modes of transport 3.5 Thermo: Calculate changes in thermodynamic properties using the first and second laws of thermodynamics in conjunction with equations of state or departure functions 3.5 Math Methods: Apply parametric (t statistics) and nonparametric (U statistic; K-S statistic) tests to determine when significant differences exist between two or more sets of data. 3.4 Safety: Assess the safety of a laboratory operation.3.3 Survey analysis of non-core learning objectivesWe created and
) whether the students andfaculty perceived the teaching methods of the courses to be the same, and 2) which method(s) thestudents preferred in each course and across all courses.Surveys to compare teaching methods have been widely published, but this study compared thesame cohort subjected to three different methods in the same semester. For an example of theliterature, in a survey of students and faculty of science courses, the faculty averaged across thecollege thought they used active learning more than the students did [1]. When the data werebroken down by department, the students and faculty agreed about the amount of active learningincluded except for geology courses. Students in that study listed problem-solving as their mostpreferred
approved bythe IRB under protocol IRB0148096 Table 1: Participant list and their genders for the semi-structured interviews. Pseudonym Gender Zahir Man Vanessa Woman Jonathan Man Emma Nonbinary Grace Woman Penelope WomanPositionality StatementsAuthor 1 has an undergraduate and master’s degree in chemical engineering. He was notinvolved with the course until the data analysis began after the course’s conclusion. This wasAuthor 1’s first experience with course redesign
they advance through the curriculum.References[1] Association for the Advancement of Sustainability in Higher Education (AASHE), AASHECampus Sustainability Hub, https://hub.aashe.org/browse/types/academicprogram/#charts-panel,2023, accessed 9 January 2025.[2] Crofton, Fiona S. “Educating for sustainability: opportunities in undergraduate engineering.”Journal of Cleaner Production, vol. 8, no. 5, pp. 397-405, 2000.[3] AIChE. “The Global Home of Chemical Engineers.” https://www.aiche.org/. Accessed 4January 2025.[4] AIChE Institute for Sustainability. https://www.aiche.org/ifs/. Accessed 5 January 2025.[5] AIChE Sustainable Engineering Forum. https://www.aiche.org/community/sites/divisions-forums/sustainable-engineering-forum-sef. Accessed 4
(2004),” Oct. 2003, doi: https://doi.org/10.1023/a:1026240727851.[11]“Understanding Technology Development - Lall - 1993 - Development and Change - Wiley Online Library.” Accessed: Jan. 15, 2025. [Online]. Available: https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1467-7660.1993.tb00502.x[12]J. B. Powers, “Commercializing Academic Research: Resource Effects on Performance of University Technology Transfer,” J. High. Educ., vol. 74, no. 1, pp. 26–50, 2003.[13]S. Slaughter and L. L. Leslie, Academic Capitalism: Politics, Policies, and the Entrepreneurial University. The Johns Hopkins University Press, 2715 North Charles Street, Baltimore, MD 21218-4319 ($39, 1997.[14]NSF, “Invention, Knowledge Transfer, and Innovation