. Science (New York,N.Y.), 341(6153), 1455–1456. https://doi.org/10.1126/science.1240487Hora, M.T., Colston, J., Chen, Zhidong, Pasqualone, A. (2021). National Survey of CollegeInternships (NSCI) 2021 Report Insights into the prevalence, quality, and equitable access tointernships in higher education Summary findings from the pilot phase of the NSCI at 17 17colleges and universities. University of Wisconsin Center for Research on College-WorkforceTransitions.https://ccwt.wisc.edu/wp-content/uploads/2022/04/CCWT_NSCI-2021-Report.pdfHowell, L. P., Wahl, S., Ryan, J., Gandour-Edwards, R., & Green, R. (2019). Educational andCareer Development Outcomes
the guidance of an instructor(s), originated in medical sciences at McMaster university in33 Ontario, Canada, in 1965 [1, 2]. PBL and Experien al Immersive Learning (EIL) are o en used34 interchangeably. These pedagogical approaches are rooted in construc vism, an educa onal theory35 emphasizing the use of learners’ experiences and interac ons with the outside world to learn a subject36 [3, 4].37 In higher educa on, ac ve learning methods (e.g. PBL and EIL) may be u lized in lieu of or accompanying38 more passive, tradi onal educa on methods such as tradi onal lectures direc ng knowledge flow from39 the instructor to the learner [5, 6]. While the tradi onal lecture approach has evolved to be the40 predominant mode of instruc
Conference. Moreinformation and details related to themes and analyses may be found in that paper. This paper’smain focus was to collect and present case studies for engineering ethics instruction.ReferencesBairaktarova, D. and Woodcock, A. (2015). Engineering ethics education: Aligning practice and outcomes. IEEE Communications Magazine, 53(11), 18–22. doi:10.1109/MCOM.2015.7321965.Bielefeldt, A. (2022). Work in Progress: Personalizing Engineering Ethics through the Individual Stories of Engineers and People Impacted. In 2022 ASEE Annual Conference. Excellence Through Diversity. Paper ID#37519.Braun, V. and Clarke, V. (2006). Using thematic analysis in psychology. Qualitative research in psychology, 3(2), 77-101.Brunhaver, S. R., Jesiek
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producing this work.In addition, the authors would like to acknowledge the leadership and financial support of theSchool of Engineering of Universidad Andres Bello, Chile. We also thank the Educational andAcademic Innovation Unit (UNIDA) for mentoring and guidance in developing scientific articlesin higher education research.Finally, the authors would like to acknowledge the financial support of Writing Lab, Institute forthe Future of Education, Tecnologico de Monterrey, Mexico, in producing this work.References[1] F. Bonomi and M. S. Islas, "Being a student in a pandemic: experiences and problems at the Faculty of Exact and Natural Sciences of Mar del Plata," (in Spanish), Boletín SIED, vol. 2, no. 2, pp. 20–31, Dec. 2020. [Online
at a larger scale.Finally, the questions in the academic integrity theme aim to capture students' experiences andobservations on how these tools are used and framed in academic institutions. We aim toreplicate Zastidul [9] finding that students believe the amount of plagiarism will increase as AItools increase in popularity. We expand this work by capturing the context of the institutions andcourse policies around AI usage. Table 1: List of Survey Questions by theme Theme Questions Awareness and ● Do you currently use an AI product? Use of AI in Education ● What AI product(s) do you currently use? ● How much do you pay for the AI products you use
ofEngineering of Andrés Bello University. They also thank the Educational and Academic Unit(UNIDA) for its mentoring and guidance in developing scientific articles in higher educationresearch.References[1] S. Berres, L. Maldonado, P. Grassia, E. Ventura-Medina, and V. Magueijo, "Competencias necesarias en graduados de ingeniería según representantes de la industria regional Chilena", in XXIX UFRO 2016 - Formación de Capital Humano en Ingeniería en el contexto de una Sociedad Global, pp. 9, Temuco, Chile, 2016.[2] L. M. Pedraja-Rejas, E. R. Rodríguez-Ponce, C. J. Espinoza-Marchant, and C. P. Muñoz-Fritis, "Liderazgo y cultura en carreras de ingeniería: estudio en una universidad chilena", Formación Universitaria, vol
conduct the DACE process,employing sustainable building design software tools as computer models for the experiments. Inthis paper, we propose and illustrate the DACE process as a training framework for noviceresearchers who are brand new to research. The DACE process provides a general set of researchtools, consisting of four steps: (1) Calibration of the computer model(s) for the application ofinterest, (2) Design of experiments to organize a set of computer model input parameter settings,(3) Execution of the computer model(s) to generate performance metric outputs, (4) Analysis ofthe input and output data. For sustainable building design, the performance metric outputsrepresent dimensions related to the pillars of sustainability: people
Prospects The 2018 Revision Methodology. UnitedNations, New York, pp. 1–22, 2018.[3] R. P. Dameri and C. Rosenthal-Sabroux. Smart City: How to Create Public and EconomicValue with High Technology in Urban Space. Springer, Switzerland, pp. 1–238, 2014.[4] C. V. Tao and J. Li. Advances in Mobile Mapping Technology. Taylor Francis, Nottingham,pp. 1–176, 2007.[5] K. P. Schwarz and N. El-Sheimy. Mobile Mapping Systems – State of the Art and FutureTrends. In: XX ISPRS Congress, Commission 5, Istanbul, Turkey. 2004.[6] M. Sairam, S. Nagarajan, and S. Ornitz. “Development of Mobile Mapping System for 3DRoad Asset Inventory”. Sensors, v. 16, pp. 1–19, 2016.[7] M. Piras, A. Cina, and A. Lingua. Low-Cost Mobile Mapping System: an Italian Experience.In: IEEE
the Innovation (STEM-ID) Attributes of STEM-ID that are uninfluenced by other factors at any given point in time. Complexity The number of parts in the STEM-ID curricula and the extent of their interdependence. Specificity The level of detail in which the operationalization of STEM-ID is described. Scope STEM-ID’s target area(s) within the field of education. Empirical Evidence that STEM-ID accomplishes desired outcomes. Effectiveness Results The extent to which the impacts of STEM-ID can be
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Project (2018). 5. Cheryan, S., Master, A. & Meltzoff, A. N. Cultural stereotypes as gatekeepers: increasing girls’ interest in computer science and engineering by diversifying stereotypes. Front. Psychol. 6, (2015). 6. Boucher, K. L. & Murphy, M. C. Why so few? The role of social identity and situational cues in understanding the underrepresentation of women in STEM fields. in Self and social identity in educational contexts 93–111 7. Malone, K. R. & Barabino, G. Narrations of race in STEM research settings: Identity formation and its discontents. Sci. Educ. 93, 485–510 (2009). 8. Sparks, D. M. Navigating STEM-worlds: Applying a lens of intersectionality to the career identity
at San Antonio Dr. Joel Alejandro (Alex) Mejia is an associate professor with joint appointment in the Department of Bicultural-Bilingual Studies and the Department of Biomedical and Chemical Engineering at The University of Texas at San Antonio. Dr. Mejiaˆa C™s work examDr. Teja Guda, The University of Texas at San Antonio ©American Society for Engineering Education, 2024 Work-In-Progress: The Influence of Digital and In-Person Pedagogical Interventions on Undergraduate Biomedical EngineersIntroduction Undergraduate engineering programs are designed to be both rigorous and experiential,consisting of a curriculum aimed at helping students develop a strong foundation of
used here the term ‘system map’ refers to a simplified graphical representation of how acomplex human-social-technical system behaves. ‘System’ derives from the Greek root systemameaning an organized whole compounded of parts. The positivist scientific revolution with itslogical chains of inference that engineering derives from sought to reduce problems into simpleparts, and as a result focused less on the whole. Initial work on systems arose in biology sincelife could not be well described by positivist methods. From its origins in organismal biologysystem science arose as a synthetic and interdisciplinary field in the 1960’s stimulated byadvances in computational methods. Since then the ideas of system science have beengeneralized to
mention of new advanced manufacturing techniques. Following an evidence-basedapproach, our goal is to development an age-appropriate, project-based AM curriculum thataddresses young students’ disposition, knowledge, and skills related to AM and facilitates theiraction outcomes towards pursuing AM education opportunities and career paths.References[1] M. A. Mardis and F. R. Jones, “Assessing School-to-Career Pathways for Manufacturing in Rural Communities: Further Investigation of Advanced Manufacturing Programs in Northwest Florida,” in 2020 ASEE Virtual Annual Conference Content Access, 2020.[2] C. S. Tenney, M. A. Mardis, and F. R. Jones, “Discerning advanced manufacturing education pathways: Insights from rural northwest Florida’s
could motivate unhelpful actions, such as blaming students in an educational setting. Byunderstanding a robust picture on how professional shame functions in the interior worldsindividual faculty, we aim to help faculty have tools to harness this powerful emotional state inways that increase social connectedness, both for themselves and their academic programs.AcknowledgementsThis work was supported through funding by the National Science Foundation (NSF CAREER#2045392). Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation. Additionally, the authors gratefully acknowledge the anonymous reviewersfor their
Education, Educational Research Methods, Multidisciplinary Engineering, Experimentation and Laboratory-Oriented Studies, and Systems Engineering Divisions. He also volunteers as a Program Evaluator for ABET accreditation in the EAC and ETAC. ©American Society for Engineering Education, 2024 Leveraging Innovation and Optimizing Nurturing in STEM:Engineering identities in low-income students across their first year of college (NSF S-STEM #2130022)Leveraging Innovation and Optimizing Nurturing in STEM (NSF S-STEM #2130022, knownlocally as LION STEM Scholars) is a program developed to serve low-income undergraduateEngineering students at Penn State Berks, a regional campus of the
: Computer Science FAQ”, https://www.NJ.gov/education/techno/csfaq.htm.[6] K. G. Herbert, V. K. Anu, K. Z. Sultana, S. Robila, J. R. Miller, S. Hagiwara, R. A.Goldstein, and T. J. Marlowe, "Professional and Capacity Building in K-12 Computer ScienceEducation: A Multi-Faceted Approach”, ACM SIGCSE '23: Proceedings of the 54th ACMTechnical Symposium on Computer Science Education, Toronto, Canada, March 2023.
, Eds., New York, NY, USA: Routledge, Aug. 2023, pp. 125-143.[6] C. Lewis and R. Perry, “Lesson study with mathematical resources: A sustainable model for locally-led teacher professional learning.” Math. Teacher Educ. and Develop., vol. 16, no. 1, pp. 1-20, Jun. 2014.[7] K. Smith, S. Finney, and K. Fulcher, “Connecting assessment practices with curricula and pedagogy via implementation fidelity data,” Assmt. & Eval. in Higher Educ., vol. 44, no. 2, pp. 263-282, 2018, doi: 10.1080/02602938.2018.1496321.[8] M. Swain, S. J. Finney, and J. J. Gerstner, “A practical approach to assessing implementation fidelity,” Assmt. Update, vol. 25, no. 1, pp. 5-13. Jan-Feb. 2013.[9] M. Vazquez Cano and M. Yin
between the learner and their environment andinfluenced learners' achievements" [8, p. 86]. While remembering that one study app or methoddoes not fit all needs, students must learn the principles of self-regulated learning and how to studyto foster deep understanding. Although this initial pilot study was done within an in-person course,these problems are only compounded for online courses due to reduced personalized guidance,interaction, and feedback. Intentional thinking involves analyses of one's thinking. Studentsdevelop strategies or ways of thinking about the task at hand and the processes or strategiesnecessary to complete the task.COVID-19’s dramatic shift to remote learning left many students struggling in online learningenvironments
conductingcontrol group data collection. All educational materials will be designed to use in the controlgroup (without SedimentSketch), and then repeated using SedimentSketch in the test group.Additionally, we are working on the initial user interface design and development of the pilotversion of SedimentSketch.In years two and three, we will complete SedimentSketch development, test it in the classroom,and work on assessment data analysis and evaluation.1 AcknowledgementsThis work was supported by the National Science Foundation under Grant “HSI Implementationand Evaluation Project: SedimentSketch, teaching tool in and beyond the sedimentologyclassroom to provide equitable and inclusive learning for Hispanic students” #2318386.References[1] R. S
.; Johnson, M. Advanced Manufacturing Research Experiences for High School Teachers: Effects on Perception and Understanding of Manufacturing; 2018 ASEE Annual Conference & Exposition, Salt Lake City, Utah. 10.18260/1-2--30079.(3) Pinnell, M.; Taylor, M. R.; Mian, A.; Preiss, S. M.; Petry, L.; Franco, M. S. Assessment of a Collaborative NSF RET Program Focused on Advanced Manufacturing and Materials, 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana. 10.18260/p.26325.(4) Zhu, W.; Fan, X.; Brake, N.; Liu, X.; Li, X.; Zhou, J.; Sisk, D.; Yoo, J. Engineering Design and Manufacturing Education through Research Experience for High School Teachers. Procedia Manuf. 2018, 26, 1340–1348.(5) Zhang, W. Manufacturing
Integration in Core Engineering Science Courses,” Proceedings of the ASEE Annual Conference & Exposition, p. 1, Jan. 2015.[8] J. Larson, W. M. Barnard, A. R. Carberry, and D. Karwat, “Student Recognition, Use, and Understanding of Engineering for One Planet Competencies and Outcomes in Project-based Learning,” presented at the 2021 ASEE Virtual Annual Conference Content Access, Jul. 2021. Accessed: Jan. 08, 2024. [Online]. Available: https://peer.asee.org/student-recognition-use-and-understanding-of-engineering-for-one-plan et-competencies-and-outcomes-in-project-based-learning[9] D. Lopatto, “Undergraduate research as a high-impact student experience,” Peer Review, vol. 12, no. 2, p. 27+, 2010.[10] A. L. Zydney, J. S
approach to assess newly designed modulesfor the QIST hardware course offered in the Spring 2024 semester at the University of Florida.Introduction & BackgroundQuantum computing is a field of computing that utilizes principles from quantum mechanics, abranch of physics that deals with the behavior of matter and energy at the atomic and sub-atomicscales. At the atomic and subatomic levels, electrons, photons, and ions act as qubits. In classicalcomputers, bits are processed sequentially, performing tasks one after the other. However, inquantum computing, qubits can be entangled, a phenomenon where the state of two or morequbits becomes correlated. Unlike classical computers that use bits to represent information as0’s and 1’s, quantum computers
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