-temperature[2] “Is sea level rising?” Accessed: Dec. 02, 2023. [Online]. Available: https://oceanservice.noaa.gov/facts/sealevel.html[3] A. Colbert, “Extreme Weather and Climate Change,” Climate Change: Vital Signs of the Planet. Accessed: Dec. 02, 2023. [Online]. Available: https://climate.nasa.gov/extreme- weather[4] “Physical Hydrogen Storage,” Energy.gov. Accessed: Dec. 02, 2023. [Online]. Available: https://www.energy.gov/eere/fuelcells/physical-hydrogen-storage[5] S. Zs. Al Ghafri et al., “Hydrogen liquefaction: a review of the fundamental physics, engineering practice and future opportunities,” Energy Environ. Sci., vol. 15, no. 7, pp. 2690–2731, 2022, doi: 10.1039/D2EE00099G.[6] M. Niermann, A. Beckendorff, M. Kaltschmitt
in engineering [2].ChatGPT, developed by Open AI and launched in November 2022 [3], is one of the most popularand accessible LLM chatbots on the market today. ChatGPT in its current state is particularlygood at providing context-based answers to questions, writing, editing, and coding [4], [5].However, some of its limitations include potential bias in its training data, a lack of up-to-dateknowledge, and generating made-up or “hallucinated” information including source citations [6].Due to the accessibility and usefulness of GenAI products, engineering students need to acquireliteracy in AI technology, which includes (a) understanding basic functions of AI, (b) using andapplying AI in a variety of contexts, (c) evaluating and creating AI
Identity,” in 2019 IEEE Frontiers in Education Conference (FIE), Covington, KY, USA: IEEE, Oct. 2019, pp. 1–9. doi: 10.1109/FIE43999.2019.9028388.[23] B. Braaten, E. Dringenberg, A. Kramer, and R. Kajfez, “You’re an Engineer? You Must Be Really Smart! A Theoretical Discussion of the Need to Integrate ‘Smart’ into Engineering Identity Research,” Stud. Eng. Educ., vol. 4, no. 2, pp. 22–37, 2023, doi: 10.21061/see.86.[24] E. Dringenberg, A. Kramer, and A. R. Betz, “Smartness in engineering: Beliefs of undergraduate engineering students,” J. Eng. Educ., p. jee.20463, Apr. 2022, doi: 10.1002/jee.20463.[25] C. Wallwey, A. Kramer, R. Kajfez, and E. Dringenberg, “Exploring Undergraduate Engineering Students
physics on women’s physics careerintentions. Physical Review Physics Education Research, 19(1), 010126.[11] Cannon, N., Robinson, Z., & Tondreau, A. (2022). Counternarratives of Resistance inPreservice Teacher Education. UMBC Education Department Collection.[12] Hug, S., & Chi, W. (2020, June), Developing Meaningful Studies of Student Success withEquity in Mind: Considering Context (Experience Report) Paper presented at 2020 ASEE VirtualAnnual Conference Content Access, Virtual On line . 10.18260/1-2--34432
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theory of statistics," Race ethnicity and education, vol. 21, no. 2, pp.158-179, 2018.[13] N. M. Garcia, N. López, and V. N. Vélez, "QuantCrit: Rectifying quantitative methodsthrough critical race theory," Race ethnicity and education, vol. 21, no. 2 , pp. 149-157, 2018.[14] National Center for Science and Engineering Statistics (NCSES). (2022). National Surveyof College Graduates: 2021. NSF 23-306. Alexandria, VA: National Science Foundation.Available at https://ncses.nsf.gov/pubs/nsf23306/.[15] D. P. Rivera, Revealing hidden intersections of gender identity, sexual orientation, race, andethnicity: Teaching about multiple oppressed identities. Intersectional Pedagogy: Routledge, pp.172-193, 2016.[16] C. Tannenbaum, R. P. Ellis, F. Eyssel, J
to the Industry Advisory Council and Moss Department of Construction Management atFlorida International University for facilitating the distribution of the surveys. Their support isdeeply appreciated.REFERENCES[1] Y. Wolinsky-Nahmias and A. H. Auerbach, “Evaluating the Design and Benefits of Internship Programs,” Journal of Political Science Education, vol. 18, no. 4, pp. 584–604, 2022, doi: 10.1080/15512169.2022.2109481.[2] C. M. Fiori and A. R. Pearce, “Improving the Internship Experience: Creating a Win-Win for Students, Industry and Faculty,” Building a Sustainable Future - Proceedings of the 2009 Construction Research Congress, pp. 1398–1408, 2009, doi: 10.1061/41020(339)142.[3] A. Karji, S. Bernstein, M
Paper ID #43725Work-In-Progress: Continued evaluation of engineering self-efficacy and judgementfor an artificial intelligence, modeling, and simulations (AIMS) certificateprogramMr. Samuel James Murphy, The University of Iowa Samuel Murphy is a doctoral candidate in the Mechanical Engineering department at the University of Iowa, where he also received his B.S.E in 2020 and M.S.E. in 2022. His research interests include engineering education and human activity recognition.Martell Cartiaire Bell, The University of Iowa I’m am a second year Ph.D student in Mechanical Engineering at the University of Iowa with a dual focus in
., Nazempour, A., Golter, P. B., Van Wie, B. J., & Adesope, O. O.Efficiently assessing hands-on learning in fluid mechanics at varied Bloom’s taxonomy levels.International Journal of Engineering Education, 37(3), 2021, pp. 624-639.Enhancing Engineering Education[13] Van Wie, B., Durak, Z., Reynolds, O., Kaiphanliam, K., Thiessen, D., Adesope, O., ... &Gartner, J. Development, dissemination and assessment of inexpensive miniature equipment forinteractive learning of fluid mechanics, heat transfer and biomedical concepts. ASEE AnnualConference & Exposition, 2022.[14] Tabachnick, B. G., Fidell, L. S., and Ullman, J. B. Using multivariate statistics. Boston,MA: Pearson, 2013, pp. 497-516.
the needs of those who are negativelyimpacted. The CPI can also function on a micro level as a pedagogical tool, aiding individuals inbetter understanding their privilege. Unpacking the "invisible knapsacks" of advantages anddisadvantages in computing is an essential step toward dismantling oppressive practices andprogressing equity in the field.References[1] J. Margolis, Stuck in the shallow end: education, race, and computing. Cambridge, MA: MIT Press, 2008.[2] S. B. Daily et al., “Alternate Pathways to Careers in Computing: Recruiting and Retaining Women Students,” presented at the 2013 ASEE Annual Conference & Exposition, Jun. 2013, p. 23.144.1-23.144.11. Accessed: May 14, 2022. [Online]. Available: https
Impact of Social Interaction on Student Learning," 2013. [Online]. Available: https://bearworks.missouristate.edu/articles-coe/23.[6] X. Yuan, "Evidence of the Spacing Effect and Influences on Perceptions of Learning and Science Curricula," Cureus, vol. 14, no. 21201, 13 1 2022.[7] N. W. Mulligan and D. J. Peterson, "The Spacing Effect and Metacognitive Control," Journal of Experimental Psychology Learning Memory and Cognition, vol. 40, no. 1, pp. 306-311, 2014.[8] N. Kornell, "Optimising Learning Using Flashcards: Spacing Is More," Applied Cognitive Psychology, vol. 23, pp. 1297-1317, 2009.[9] P. Agarwal, "Retrieval Practice: Power Tool for Lasting Learning," Association for Supervision and Curriculum
Master's Engineering Management ProgramAbstractMany graduates with strong engineering management skills enter the workforce, yet they oftenlack the soft skills our industry needs. Middle Tennessee State University's (MTSU) Master ofScience in Professional Science (MSPS) program in Engineering Management has incorporatedthese desired soft skills into its core curriculum. This cross-disciplinary program providesMiddle Tennessee with the best-educated and well-trained scientific workforce. The program wasawarded the U.S. Department of Education's Graduate Assistance in Areas of National Need(GAANN) grant for Engineering Management (2019-2022), which supported nine students witha stipend, full tuition, and fees.In 2023, the MSPS program completed a
, and E.C. de Lira, “CO2 capture and water use efficiency in Opuntia stricta (Haw.) at different seasons and evaluation times”. Revista Colombiana de Ciencias Hortícolas, 16(2), e13525, 2022. https://doi.org/10.17584/rcch.2022v16i2.13525. # # #
], we alsohypothesize that knowledge about campus resources about mental health will have a similar butsmaller effect with stigma.MethodsThis study is conducted in the context of a larger longitudinal multi-institutional mixed methodsstudy exploring the relationship of engineering culture and stigma of mental health conditions inhelp-seeking attitudes of engineering students and professionals. Such project and other relatedresults have been described to detail in other publications [7]. For this work-in-progress we usethe data collected through the first wave of an online survey deployed at two institutions in thecontinental United States in Fall 2022 and Spring 2023. One institution is in the US Northeastand one in the US Midwest. Both are
criteria and societal imperatives and norms,” Education for Chemical Engineers, vol. 43, pp. 23–30, Apr. 2023, doi: 10.1016/j.ece.2023.01.004.[7] C. Ocampo-López, F. Castrillón-Hernández, and H. Alzate-Gil, “Implementation of Integrative Projects as a Contribution to the Major Design Experience in Chemical Engineering,” Sustainability (Switzerland), vol. 14, no. 10, May 2022, doi: 10.3390/su14106230.[8] A. Argoti, A. Orjuela, and P. C. Narváez, “Challenges and opportunities in assessing sustainability during chemical process design,” Current Opinion in Chemical Engineering, vol. 26. Elsevier Ltd, pp. 96–103, Dec. 01, 2019. doi: 10.1016/j.coche.2019.09.003.[9] D. Song, E. S. Yoon, and N. Jang, “A
Argentina, and a B.S. in Chemical Engineering from the University of America in Colombia.Morgan M Hynes (Assistant Professor) © American Society for Engineering Education, 2022 Powered by www.slayte.com Transdisciplinary STEAM education: Advocating for compassion as a core value in engineeringIntroductionTransdisciplinary STEAM education might help introduce compassion as an internal core valueof engineering. Currently, a utilitarian perspective of ethics and a Rawlsian approach to justicedominate engineering and are prevalent in the undergraduate curriculum. As a result, engineerswho learn under these approaches may design technologies
Dale and Suzi Gallagher of Professor of Engineering Education at Purdue University. He has degrees from Swarthmore College, Rensselaer Polytechnic Institute, and the University of Florida. He studies the longitudinal study of engineering students and forming and managing student teams and with collaborators has been recognized for the best paper published in the Journal of Engineering Education in 2008, 2011, and 2019 and from the IEEE Transactions on Education in 2011 and 2015. Dr. Ohland is an ABET Program Evaluator for ASEE. He was the 2002–2006 President of Tau Beta Pi and is a Fellow of the ASEE, IEEE, and AAAS. © American Society for Engineering Education, 2022
://www.pathways.cu.edu.eg/subpages/training_courses/C10-Analytical-EN.pdf[5] P. C. Abrami, R. M. Bernard, E. Borokhovski, D. I. Waddington, C. A. Wade, and T. Persson, “Strategies for Teaching Students to Think Critically: A Meta-Analysis,” Review of Educational Research, vol. 85, no. 2, pp. 275–314, Jun. 2015, doi: 10.3102/0034654314551063.[6] D. T. Tiruneh, A. Verburgh, and J. Elen, “Effectiveness of Critical Thinking Instruction in Higher Education: A Systematic Review of Intervention Studies,” HES, vol. 4, no. 1, p. p1, Jan. 2014, doi: 10.5539/hes.v4n1p1.[7] R. De La Espriella, “Critical Thinking: A Modern Practitioner’s Journey of Discovery.” 2020. [Online]. Available: https://bluedragon1-ips.com/wp-content/uploads/2022/11/2020-07
, C., Gannon, W. L., Madhusudhana, S., & Thomas, J. A. (2022).Detection and classification methods for animal sounds. Exploring Animal Behavior ThroughSound, 1, 269-317.[4] Astuti, W., Aibinu, A. M., Salami, M. E., Akmelawati, R., & Muthalif, A. G. (2011,May). Animal sound activity detection using multi-class support vector machines. In 20114th international conference on mechatronics (ICOM) (pp. 1-5). IEEE.[5] Ruff, Z. J., Lesmeister, D. B., Appel, C. L., & Sullivan, C. M. (2021). Workflow andconvolutional neural network for automated identification of animal sounds. EcologicalIndicators, 124, 107419.[6] Singh, N. (2020). Classification of animal sound using convolutional neural network.[7] Nunes, L., Ampatzidis, Y., Costa, L
literature review. IEEE Access, 2022. [3] Xuansheng Lu, Yanmin Zhu, Yanan Xu, and Jiadi Yu. Learning from multiple dynamic graphs of student and course interactions for student grade predictions. Neurocomputing, 431:23–33, 2021. [4] Yahia Baashar, Gamal Alkawsi, Nor’ashikin Ali, Hitham Alhussian, and Hussein T Bahbouh. Predicting student’s performance using machine learning methods: A systematic literature review. In 2021 International Conference on Computer Information Sciences (ICCOINS), pages 357–362, 2021. doi: 10.1109/ICCOINS49721.2021.9497185. [5] Boran Sekeroglu, Rahib Abiyev, Ahmet Ilhan, Murat Arslan, and John Bush Idoko. Systematic literature review on machine learning and student performance prediction: Critical
becomes widelyavailable to the public, software applications will adapt to the new interfaces, changing the ways welive. STEM education, specifically engineering education, can benefit from the new opportunities thatwill arise. References1. Trapletti, G. P., Jc86035, 17jiangz1. (Nov. 21, 2015 – Apr. 25, 2021). Timeline of the product Apple iMac [PNG]. Wikimedia Commons. https://commons.wikimedia.org/wiki/File:Timeline_of_the_product_Apple_iMac.svg2. Estefani, J. N. A. (2023, Aug 01). Zero UI: Redefining the Future of Human-Technology Interaction. Raw Studio. https://raw.studio/blog/zero-ui-redefining-the-future-of-human-technology-interaction/3. Statista. (2022, Feb 14). Unit
-change-2018-business-council-skills-survey/5. A. Shurin, N. Davidovitch, and S. Shoval, “The Role of the Capstone Project in Engineering Education in the Age of Industry 4.0 - A Case Study,” Eur. Educ. Res., vol. 4, no. 1, pp. 63–84, Feb. 2021, doi: 10.31757/euer.414.6. R. S. Weissbach, J. W. Snyder, E. R. Evans, Jr., and J. R. Carucci, Jr., “Industrial Sponsor Perspective On Leveraging Capstone Design Projects To Enhance Their Business,” Am. J. Eng. Educ. AJEE, vol. 8, no. 1, pp. 13– 22, May 2017, doi: 10.19030/ajee.v8i1.9959.7. A. Wefald, M. Benavides, and A. Mestrovich Seay, “LEARNING FROM LEADERSHIP CAPSTONE PROJECTS,” J. Leadersh. Educ., vol. 21, no. 3, Jul. 2022, doi: 10.12806/V21/I3/R3.8. M. H. Forbes and G. D
Manufacturing, 35, 1286–1296. https://doi.org/10.1016/j.promfg.2019.06.0896. LFritschen, A., Bell, A. K., Königstein, I., Stühn, L., Stark, R. W., & Blaeser, A. (2022). Investigation and comparison of resin materials in transparent DLP-printing for application in cell culture and organs-on-a-chip. Biomaterials Science, 10(8), 1981–1994. https://doi.org/10.1039/D1BM01794BANA S. AVILES VARGASAna Aviles Vargas is a Biomedical Engineering major with a concentration in Biomechanics at the University of Texas atSan Antonio. Currently serving as the president of the Society of Hispanic Professional Engineers (SHPE). Ana waspreviously a research and development intern at Eli Lilly and Company, working on a high throughput screening assay
Specimens of Novel ABS-Based Materials," Journal of Failure Analysis and Prevention, vol. 14, pp. 343-353, 2014.[8] H. Gong, M. Runzi, Z. Wang and L. Wu, "Impact of Moisture Absorp�on on 3D Prin�ng Nylon Filament," in International Solid Freeform Fabrication Symposium, Aus�n Texas, 2022.[9] M. M. Mulholland, T. Khraishi, Y. Shen and M. F. Horstemeyer, "Void growth interac�on experiments: Implica�ons to the op�mal straining rate in superplas�c forming," International Journal of PLacticity, vol. 22, no. 9, pp. 1728-1744, 2006.[10] S. Gampert, A. B. Siddique and T. A. Khraishi, "Void Growth and Interac�on in a Structural Aluminum Alloy: Experiments and Theory," ournal of Minerals and Materials Characterization and Engineering, vol
Mindset Intervention and Learning Analytics on Mindset and Learning Engagement," 2022, available: https://pure.tue.nl/ws/portalfiles/portal/215278050/Master_Thesis_HTI_Evie_Tossaint.pdf9. B. J. Zimmerman and A. R. Moylan, "Self-regulation: Where metacognition and motivation intersect," in Handbook of Metacognition in Education, Routledge, 2009, pp. 299-315, available: https://psycnet.apa.org/record/2010-06038-01610. L. D. Di Paolo et al., "Active Inference Goes to School: The Importance of Active Learning in the Age of Large Language Models," IEEE Transactions on Neural Networks and Learning Systems, [year of publication], [volume], [issue], [page numbers], doi: 10.1098/rstb.2023.0148.R2, doi: https://doi.org
; Biomimetics, 18(2), pp. 0210016 Fu, K., et al., 2014, "Bio-Inspired Design: An Overview Investigating Open Questions From the Broader Field of Design-by-Analogy," Journal of Mechanical Design, 136(11).7 Neufeld, K.H. and D. Gaucher, 2017, "Creativity and innovation dictionary."8 Greco, F., et al., 2022, "Crovitz Innovator Identification Method."9 Boyd, R.L., 2017, "Psychological Text Analysis in the Digital Humanities," Cham: Springer International Publishing, Cham, pp. 161-189JOHN CARRELLJohn Carrell is an Assistant Professor of Engineering at the Texas Tech University Honors College. He received hisdoctorate in industrial engineering from Texas Tech University, and his research focuses on enriching engineeringeducation through the
=qytvAz_VYK QC 14. Chavez, J. E. (2022, March 16). Integrated Multi-Sensor Remote System design for Real-Time indoor air quality monitoring. https://peer.asee.org/integrated-multi-sensor-remote-system-design-for-real-time-indoor-air-quality-monitoringMICHAEL ANTONIO GARCIAMichael Antonio Garcia is a student at the University of the Incarnate Word in the School of Math,Science, & Engineering. He is graduating in May of 2024 with a Bachelor’s of Science with adouble major in Cybersecurity and Computer Information Systems, with a concentration inComputer Programming.DANIÉL SANTOS GARZADaniél Santos Garza is a student at the University of the Incarnate Word in the School of Math,Science, & Engineering. He is graduating
/j.appdev.2011.04.001.[20] S. Sorby, B. Casey, N. Veurink, and A. Dulaney, “The role of spatial training in improving spatial and calculus performance in engineering students,” Learn. Individ. Differ., vol. 26, pp. 20–29, 2013, doi: https://doi.org/10.1016/j.lindif.2013.03.010.[21] T. Johnson, A. P. Burgoyne, K. S. Mix, C. J. Young, and S. C. Levine, “Spatial and mathematics skills: Similarities and differences related to age, SES, and gender,” Cognition, vol. 218, p. 104918, Jan. 2022, doi: 10.1016/j.cognition.2021.104918.[22] S. A. Sorby and N. Veurink, “PREPARING FOR STEM: IMPACT OF SPATIAL VISUALIZATION TRAINING ON MIDDLE SCHOOL MATH PERFORMANCE,” J. Women Minor. Sci. Eng., vol. 25, no. 1, pp. 1–23, 2019.[23] B. N
engineering from Michigan State University (MSU), East Lansing, Michigan, in 2022. Sylmarie worked as a Systems Engineer for the MITRE Corporation in 2015 and as a Data Analyst/Contractor for the Environmental Protection Agency in 2018 and 2019. Her research interests include real-time processing of biomedical and social signals, efficient implementation of machine learning algorithms, design of wearable social behavior and health monitoring systems, and engineering education. ©American Society for Engineering Education, 2024 Fostering Computational Thinking in Freshman Electrical Engineering Students through a Micro:Bit Code ProjectAbstractComputational Thinking (CT) is an
and Depth in Civil EngineeringLaboratory Classes," in ASEE Southeastern Section Conference 2022, Washington D.C., USA[2] D. Truax, "Restructuring the undergraduate laboratory instructional process." Journal ofProfessional Issues in Engineering Education and Practice 133.3 (2007): 192-198. © American Society for Engineering Education, 2016 2024 ASEE Southeast Section ConferenceAppendix A: Survey Questions for the studentsVMI CEE's lab restructuring-Students' perspectiveQ1 Starting in the Fall of 2021, the Virginia Military Institute (VMI) Civil and EnvironmentalEngineering (CEE) Department restructured its lab offerings. Previously, distinct lab courseswere offered for Soil Mechanics