-equippedwith the analytical and technical skills necessary for effective design and simulation.The second 3-credit segment would function as an advanced continuation of the course, offeringstudents the opportunity to deepen their understanding through extended experimental work,comprehensive data analysis, and computer simulations. Potentially, this portion could be used toincorporate advanced materials such as computational fluid dynamics (CFD), structural analysis,modeling of composite materials, and noise analysis thereby aligning with real-worldengineering practices and industry expectations. By distributing the workload across two well-defined phases, the 6-credit model allows for greater depth in both theoretical instruction andpractical
University of Wuppertal. He researches online and intercultural engineering education. His primary research focuses on the development, introduction, practical use, and educational value of online laboratories (remote, virtual, and cross-reality) and online experimentation in engineering and technical education. In his work, he focuses on developing broader educational strategies for de- signing and using online engineering equipment, putting these into practice, and providing the evidence base for further development efforts. Moreover, Dr. May is developing instructional concepts to bring students into international study contexts to experience intercultural collaboration and develop respective competencies. Dr. May
President and Professor at North American University in Houston, TX from July 2012 through December 2016. He also served as a Chair of Energy Conservation and Conversion Division at American Society of Engineering Education (ASEE). Dr. Pecen holds a B.S in EE and an M.S. in Controls and Computer Engineering from the Istanbul Technical University, an M.S. in EE from the University of Colorado at Boulder, and a Ph.D. in Electrical Engineering from the University of Wyoming (UW, 1997). He served as a graduate assistant and faculty at UW, and South Dakota State University. He served on UNI Energy and Environment Coun- cil, College Diversity Committee, University Diversity Advisory Board, and Graduate College Diversity
.[23] P. P. Ray, “ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope,” Internet of Things and Cyber- Physical Systems, vol. 3, pp. 121–154, 2023, doi: 10.1016/j.iotcps.2023.04.003.[24] T. Zhao, R. Chance, C. Buckhalter, and G. Wang, “Impact of ChatGPT on Student Writing in Construction Management: Analyzing Literature and Countermeasures for Writing Intensive Courses,” presented at the 60th Annual ASC International Conference 2024, Accepted.[25] Eberly Center, “Examples of possible academic integrity policies that address student use of generative AI tools,” 2023. [Online]. Available: https://www.cmu.edu/teaching/technology
Paper ID #20109Incorporating Ethics and Professionalism into Environmental EngineeringCurriculumDr. Ramanitharan Kandiah P.E., Central State University Associate Professor of Environmental Engineering, International Center for Water Resources Manage- ment, Central State University, Wilberforce, Ohio. He is a co-author of the textbook, ’Introduction to Water Resources’. He holds a PhD in Civil Engineering from Tulane University and a registered Profes- sional Civil Engineer in Ohio.Prof. Krishna Kumar V Nedunuri, International Center for Water Resources Dr. Nedunuri is the Director of the International Center for Water
Virginia Tech in Engineering Education and Future Professoriate and from USFQ in Structures for Construction Professionals. MiguelAndres’s research includes Architectural and Civil Engineering Project Management, Sustainable and Resilient Urban Infrastructure, and the development of engineers who not only have strong technical and practical knowledge but the social awareness and agency to address global humanitarian, environmental, and social justice challenges. For him, social justice is a concept that should always be involved in discussions on infrastructure. Related to STEM education, Miguel Andres develops disruptive pedagogies for STEM courses as a tool for innovation, and assessing engineering students’ agency to
Certificates from Virginia Tech in Engineering Education and Future Professoriate and from USFQ in Structures for Construction Professionals. MiguelAndres’s research includes Architectural and Civil Engineering Project Management, Sustainable and Resilient Urban Infrastructure, and the development of engineers who not only have strong technical and practical knowledge but the social awareness and agency to address global humanitarian, environmental, and social justice challenges. For him, social justice is a concept that should always be involved in discussions on infrastructure. Related to STEM education, Miguel Andres develops disruptive pedagogies for STEM courses as a tool for innovation, and assessing engineering
published as Mentor Training for Clinical and TranslationalResearchers. Its training activities addressed six research mentor competencies: (1) maintainingeffective communication; (2) aligning expectations; (3) assessing understanding; (4) addressingdiversity; (5) fostering independence; and (6) promoting professional development. The trainingfollowed the original design, which was a process-based approach. Through facilitateddiscussions of case studies and activities, the small group of mentors learned the six mentoringcompetencies, tried out different mentoring strategies, and solved mentoring challenges. Thetypical training format was four sessions of one to two hours of interactive discussion withfacilitation over two months. The curriculum was
. Purcell, “Consensus or contradiction? A review of the current research into the impact of granting extra time in exams to students with specific learning difficulties (SpLD),” J. Furth. High. Educ., vol. 44, no. 4, pp. 439–453, Apr. 2020, doi: 10.1080/0309877X.2019.1578341.[25] F. Gonçalves, D. Carneiro, P. Novais, and J. Pêgo, “EUStress: A Human Behaviour Analysis System for Monitoring and Assessing Stress During Exams,” in Intelligent Distributed Computing XI, vol. 737, M. Ivanović, C. Bădică, J. Dix, Z. Jovanović, M. Malgeri, and M. Savić, Eds., in Studies in Computational Intelligence, vol. 737. , Cham: Springer International Publishing, 2018, pp. 137–147. doi: 10.1007/978-3-319- 66379-1_13.[26] K. F
discipline. This need forsociotechnical fluency among technical educators is exacerbated when we expand the definitionof an instructor from the faculty member—who intellectually leads the course design—to includeteaching assistants (TAs), who design their own smaller classroom spaces for close interactionwith individual students.Given the breadth of the term “sociotechnical,” we delineate the term into internal and externalsociotechnical systems. External sociotechnical systems refer to human stakes within the largerengineering sphere, spanning industry and research, which are commonly included in discoursesurrounding engineering ethics [3]. Internal sociotechnical systems refer to individual relationswithin the engineering classroom which are
2002. Currently, he is a Professor at the Escola de En- genharia Mau´a, Instituto Mau´a de Tecnologia, Brazil. The professor has more than 21 years of work in the academic field and developed several academic works, including 05 master’s degree orientations, 35 Course Completion Works and 27 Scientific Initiation projects. Additionally, he produced around 150 publications including journals, book chapters, complete works and abstracts published in the annals of scientific conferences (national and international). His expertise areas include control systems, industrial automation, autonomous robotics, IoT (Internet of Things), artificial intelligence (neural networks and fuzzy logic), embedded electronics, assistive
,and 5.3% did not disclose. Approximately 76.9% were undergraduates, 20.7% were graduatestudents, and 2.4% did not disclose.Instrument testingCronbach’s α, the Kaiser-Meyer-Olkin (KMO) test, Bartlett’s test, and exploratory factor analysis(via RStudio) were used to determine internal reliability, factorability, and underlying constructs,respectively. Cronbach’s α’s for the overall instrument (excluding demographic and open-endeditems) and Constructs 1-3 were 0.932, 0.934, 0.957, and 0.95, respectively. For factorability,KMO tests results indicated an overall measure of sampling adequacy (MSA) of 0.91 (which isin the range of marvelous). The MSAs for 19 of the 25 items were in the range of marvelous, andthe remaining six were in the range of
. Lastly, conductingmore interviews with students and instructors will aid in constructing a Lite version that meetshigh educational standards and student requirements.AcknowledgementRELIA project is funded by the National Science Foundation’s division of undergraduateeducation under award number 2141798.References [1] F. Atienza and R. Hussein. Student perspectives on remote hardware labs and equitable access in a post-pandemic era. In 2022 IEEE Frontiers in Education Conference (FIE), pages 1–8. IEEE, 2022. [2] V. S. Katz, A. B. Jordan, and K. Ognyanova. Digital inequality, faculty communication, and remote learning experiences during the covid-19 pandemic: A survey of us undergraduates. Plos one, 16(2):e0246641, 2021. [3] Pew
bioprocess engineering, environmental engineering, environmental risk management, and I have authored >40 peer reviewed publications in these fields. I’m also active in developing workforce development initiatives, specifically within the biopharmaceutical manufacturing space. Beyond academia, I have 7+ years of international consulting experience working with the U.K. government, European Union, and the United Nations.Amara L Pettit, University of VirginiaClare Cocker, University of Virginia ©American Society for Engineering Education, 2025BYOE: Hands-on Experiments for Teaching Process Safety: Exploring DustExplosionsVanessa Campbell, Mara Pettit, Claire Cocker, Ron Unnerstall, George Prpich
ofIntelligence (WPPSI)’s Object Assembly subtest [31]. In this test, a picture is divided into pieceslike a puzzle, and children must assemble them correctly to reconstruct the image. In the sameinstrument, the Block Design subtest instructs children to rotate and arrange diagonally-dividedwhite and red 3-dimensional blocks to replicate specific patterns on the upturned block faces.Other mental operations tests include Mental Folding [20, 32], where flat sides are mentally foldedinto a 3-dimensional shape, and Mental Cutting (MCT) [32] which requires mentally dividingirregular shapes with a plane and identifying the resulting cross-section. In all tests, studentsperform internal operations on an image they are given, and choose from several options the
, Pittsburgh (2003 – 2004) and Assistant Manager (Metallurgy Group), Engineering Research Center, Telco, India (1985 – 1993). He has published over 55 papers in peer-reviewed journals and conferences including a 2007 Best Paper Award by the Manufactur- ing Division of American Society for Engineering Education (ASEE), three review papers and three book chapters. He has participated in numerous national and international conferences. He is a member of ASM International, TMS, ACerS, AIST, ASEE, IMEA, and a registered Chartered Professional Engineer. Dr. Manohar’s research interests include mathematical and computer modeling of materials behavior, thermomechanical processing of steels and other metallic materials
informal engineering education settings,especially for younger learners, to prepare future generations to address global environmental issues.References[1] Hivenet. (2024, August 30). The critical role of education in driving environmental sustainability. https://www.hivenet.com/post/the-critical-role-of-education-in-driving-environmental-sustainability[2] Monika, J. (2024). Sustainability Education in the 21st Century: Incorporating Environmental Awareness in K-12 Curriculum. International Journal of Post Axial: Futuristic Teaching and Learning, 120-133.[3] Plevyak, L. H. (2022). Teaching Towards Green Schools: Transforming K–12 Education through Sustainable Practices. Routledge.[4] Feinstein, N. W., & Carlton, G. (2012
ℏD Tu 4 Nu = = 1.2 + 0.2 �1 + 6300 � � � Re3 (2) K ReIf we conduct the forced and free convection tests in one session, then the spreadsheet for datareduction is provided. If we run the two cases in two separate 3-hour sessions, then we can havethe students set up the spreadsheet. Figure (8) shows typical results for the forced convection test. Figure (8) Disc Direction Face Backwards Disc Dia [cm] 1.9
American Society of Civil Engineers and the Structural Engineers Association of California. He has published over thirty technical papers in the area of structural control and earthquake engineering.Tim Le, San Francisco State University Mr. Tim Le earned his Bachelor of Science in Civil Engineering from University of Minnesota. He was admitted in the Fall 0f 2005 to the Master of Science in Engineering Program at San Francisco State University. In the Fall 2005, the School of Engineering hired Mr. Le as Graduate Teaching Associate. In that position, he is a Surveying Lab Instructor. He currently works at Caltran as an intern
technical and business skills for “John.” Asummary of the coding approach with findings is presented in Table 1. Trait (sample language used1) Julie John Percent of responses (count) Percent of responses (count) Business (Landscape) 0% (0) 5% (1) Technical (Honors, 35% (7) 37% (7) Undergraduate research, CAD, Publication, Engineering, Skilled, CoolCapstoneProject, Worked-in-lab, Handcycle, Intern, 3-programming- languages) Non-Technical (Active, No gap, 20% (4) 16% (3) Barista, Hard worker
research as a means to advocate for Latinas in STEM. International Journal of Qualitative Studies in Education, 31(8), 769–783. https://doi.org/10.1080/09518398.2018.1479046Blaney, J. M. (2022). Cultivating community college pathways to STEM leadership: Examining the relationships between gender, upward transfer, and students’ computing leadership identity. Community College Review, 50(3), 269–291. https://doi.org/10.1177/00915521221087283Bonilla-Silva, E. (2010). Racism without racists: Color-blind racism and the persistence of racial inequality in the United States (3rd ed.). Rowman & Littlefield.Carlone, H. B., & Johnson, A. (2007). Understanding the science experiences of successful women of
‘internationalization,’ where international engineers and students leavetheir home countries, and instead use their valuable knowledge and skills towards their enduringcolonization in the Global North [20], [21].In their Seminal paper on “10 Calls to Action to Natural Scientists Working in Canada” [22],Carmen Wong and her co-authors, discuss calls to actions towards reconciliation with theindigenous population of Canada. The first call to action, “Understand the socio-politicallandscape around your research sites”, emphasizes the political nature of natural sciences ingeneral. It is essential that we understand that technologies created by engineers continue to“channel epistemic oppression through socio-technical acts of white supremacy” [23, p. 7].In this
largenumber of majors that require this topic of study, we set forth the following design goals: 1) The kit should readily address multiple topics that are commonly taught. 2) The kit should be low-cost (target similar to a textbook) but high quality. 3) The kit should produce results of sufficient accuracy to reinforce the principles being studied convincingly. 4) The kit should permit creative exploration of the subject in addition to prescribed technical exercises and demonstrations.Fluid dynamics is a course that primarily focuses on understanding how to model the behavior ofa fluid system in motion. As a result, any proper kit will need to have a means to put fluid inmotion. Although the topic of hydrostatics is a
and ducts of HVAC systems the head loss (energy dissipatedin a fluid system due to friction) and associated pressure drop is expressed by McQuiston, Parkerand Spitler [1]. The head loss can be determined for piping systems with elbows and valves. Thestandard circular cross section 90-degree elbow design is known to not be optimized for pressuredrop, see Baukal, Gershtein and Li [2].Yin et al. [3] completed a study of low-resistance optimization of 90 degree elbows using doubleguide vanes and achieved a maximum resistance reduction of 38.1 %. Sarstedt et al. [4] usedtopology optimization for fluid flows employing local optimality criteria. Sculptor is based onArbitrary Shape Design (ASD) and allows CFD designers to create their own shape
. Association of American Colleges and Universities, 2008[2] M. Prince, “Does Active Learning Work? A Review of the Research.” Journal of Engineering Education, vol. 93(3), pp. 223-231, 2004.[3] S. Lal, A.D. Lucey, E. Lindsay, D. F. Treagust, J. M. Long, and M. G. Zadnik, “The Effects of Remote Laboratory Implementation on Freshman Engineering Students’ Experience”, 2018 ASEE Annual Conference and Exposition, American Society for Engineering Education, Paper ID #22272, 2018.[4] J. Long, “Anywhere-anytime engineering education in a complete undergraduate program.” International Journal on Innovations in Online Education, 4 (1), 2020[5] J. Grodotzki, T. R. Ortelt, and A. E. Tekkaya, “Remote and Virtual Labs for Engineering Education 4.0
college/work experiences and manifests in their self-beliefs,sense of belonging, and internal recognition. In this paper, we employed a qualitative approachto examine self-belief and perceptions of engineering and what engineers do among URMengineering students in their senior year. The research questions that informed this study are asfollows: 1. How do URM (engineering) students in our study describe engineering, engineers, and what they do? 2. What values or attitudes do they have that help them identify (or not identify) as engineers? 3. In what way do URM students receive recognition (or fail to be recognized) as engineers from others?A thematic analysis approach was used to analyze the interview transcripts. The
University). Complimenting my pedagogical research is an interest in bioprocess engineering, environmental engineering, environmental risk management, and I have authored >40 peer reviewed publications in these fields. I’m also active in developing workforce development initiatives, specifically within the biopharmaceutical manufacturing space. Beyond academia, I have 7+ years of international consulting experience working with the U.K. government, European Union, and the United Nations.Dr. Anne Marguerite McAlister, University of Virginia Dr. Anne M. McAlister is an Assistant Professor in the First Year Engineering Center at the University of Virginia. She has her PhD in Education and MS in Systems Engineering from the
Technical Symposium on ComputerScience Education, 2017, 15-20.[14] Brown, N. C. & Altadmri, A. Investigating novice programming mistakes: educator beliefsvs. student data. Proceedings of the tenth annual conference on International computingeducation research, 2014, 43-50.[15] Mow, I. C. Analyses of student programming errors in Java programming courses. Journalof Emerging Trends in Computing and Information Sciences, 2012, 3, 739-749.[16] Efopoulos, V.; Dagdilelis, V.; Evangelidis, G. & Satratzemi, M. WIPE: a programmingenvironment for novices. ACM SIGCSE Bulletin, 2005, 37, 113- 117[17] Pritchard, D. Frequency distribution of error messages. Proceedings of the 6th Workshop onEvaluation and Usability of Programming Languages and Tools
Contextual Correlates of Student-Teacher Relationships,” 2004.[14] J. Cummins, “Pedagogies of choice: Challenging coercive relations of power in classrooms and communities,” Int J Biling Educ Biling, vol. 12, no. 3, pp. 261–271, 2009, doi: 10.1080/13670050903003751.[15] L. B. Yoke, “Interrelationship between Perceived Instructor Power, Student Dissatisfaction, and Complaint Behaviors in the Context of Higher Education,” International Education Studies, vol. 11, no. 7, p. 12, Jun. 2018, doi: 10.5539/ies.v11n7p12.[16] M. Lovorn, C. S. Sunal, L. M. F. Christensen, D. W. Sunal, and C. Shwery, “Who’s in control? Teachers from five countries share perspectives on power dynamics in the learning
are often shut out of formal pathways to learning due torefugees' lack of resources and opportunities. Of the adult refugee learners who are eligible forpostsecondary education, the UNHCR estimates that only 3% are able to enroll in highereducation programs [23], and the demand for higher education degrees, connected education, andvocational training have been increasing. In terms of technical training, the International LaborOffice [24] points out several other challenges, such as accessing TVET programs and decentjobs, lack of information, lacking recognition of qualifications and skills, and low collaborationbetween employers and workers’ organizations. In light of this challenge, we developed apedagogical model that fills in this