to correlate Fluid Mechanics grades using gatewaymathematics (Calculus I and II) and engineering course (Statics and Solid Mechanics) performancefor VMI classes of 2020 and 2021. Additionally, this paper aims to identify the relationshipbetween these courses and graduation GPA, expanding on Ramniceanu et al.'s work.3 Lastly, coreCE courses will be examined for correlations with grades in a specific CE sub-discipline designcourse to indicate success in that discipline.VMI offers elective courses for five CE sub-disciplines, namely-water resources, environmentalengineering, structural engineering, geotechnical engineering, and transportation engineering.Table 1 lists all the 400-level elective courses under each sub-discipline. This study
consistent semesters of instruction in ThermoI, similar to the Spring 22 semester, should be implemented within the department, as well. Inreviewing this data, the authors plan to continue analyzing performance based off of Thermo Iconsistency of instruction and to determine if stricter guidelines or assignment requirementsshould be put in place for every instructor of that course to best foster student success later in thecurriculum.References1 C. Deak, B. Kumar, I. Szabo, G. Nagy and S. Szentesi, "Evolution of New Approaches in Pedagogy and STEM with Inquiry-Based Learning and Post-Pandemic Scenarios," Education Sciences, 2021.2 J. Malesic, "My Students are not ok," New York Times, 13 May 2022.3 M. H. Keshavarz, "A Proposed
companies still haveextensive and lengthy training programs; most do not. They expect their new hires to show up andtake care of business.Engineers design projects. They do this repeatedly. Teaching engineers in the context of actualprojects is natural and highly effective.This paper outlines how I have taught the structural design of timber, masonry, steel, concrete,and structural analysis for the past two decades. Does it work? Yes, absolutely. How do I know?Based on my experience of what is effective in professional practice and 19 years of student workproduct that closely matches that of a successful design office.7 References[1] S. D. Wurdinger, The Power of Project-Based Learning: HElping Students Develop Important Life Skills, Lanham
number on the turbine performance. The CFD simulationsaccurately predicted the power output and torque of the HAWT under different wind speeds,compared with experimental data, and revealed that the power coefficient of the HAWT increaseswith increasing wind speed reaching its maximum value at a wind speed of around 8 m/s. Nour et al. (2014) investigated the performance of a small-scale horizontal axis windturbine (HAWT) through computational fluid dynamics (CFD) simulations using Reynolds-averaged Navier-Stokes (RANS) and unsteady RANS (URANS) models and revealed that bothRANS and URANS models provide accurate predictions of the power coefficient and torque ofthe HAWT, with the URANS model showing better agreement with experimental data
100784, 2020.[7] U. Treisman, "Studying students studying calculus: A look at the lives of minority mathematics students in college," Coll. Math. J., vol. 23, no. 5, pp. 362-372, 1992.[8] X. Ge and S. M. Land, "A conceptual framework for scaffolding ill-structured problem- solving processes using question prompts and peer interactions," Educ. Tech. Res. Dev., vol. 52, no. 2, pp. 5-22, 2004.[9] Engineering Mathematics (EGR 1010) Topics and Materials. Wright State University. (website). Accessed May 27, 2023, n.d. Available https://engineering-computer- science.wright.edu/research/engineering-mathematics-topics-and-materials
-56). While using this tool robs students of the learningbenefits of performing these calculations themselves, it does provide a step by step breakdown ofthe steps it performs in these calculations much like you would see in textbook exampleproblems. It can make for a great tool for students looking to verify their own calculations orthose stuck on a particular step. That being said, some caution should be exercised as there lacksa verification of ChatGPT’s ability to solve all equations encompassed within a first-yearengineering design course. There is no guarantee that all solutions it presents will be correct, asshowcased in RQ2’s example of weighted decision making.A current limitation of the free version of ChatGPT is the presented
up from 29.9% adecade earlier in 2010. In 2000, one-third of people with at least a bachelor’s degree hadcompleted an advanced degree. By 2018, 37 percent had done so. The number of people withmaster’s degrees, then is roughly 13% of the current U. S. Population. The number of peoplewith professional degrees is roughly 1.2%, while the number of people with Doctorate degrees isclose to 2.2%Given this, what is the interest and likelihood of those with master’s degrees pursuing an onlineDoctor of Technology degree? And, demographically, who are those students?The Doctor of Technology (DTECH) program of this paper was nearly six and a half years in themaking. It began with a committee envisioning a degree concept through a yet to be
) is the error signal at the kth time step. r(k) represents the reference temperature, andy(k) is the measured temperature. u(k) is the controller output and DC represents the duty cycle.For this activity, students are asked to write a python function in the program that represents theon-off controller. The inputs of the function are the setpoint and the actual temperature output, pv.The function should return the controller output, op. Once the program is done, they can run theprogram and plot the on-off response of the heater. Fig. 5 shows the response of an on-offcontroller. The top figure shows the temperature response changes with a setpoint for 1200 s. Thedashed line represents the desired temperature output. The 2nd figure from the top
Conference, Seattle.5. Kerr, Barbara. (2015). The flipped classroom in engineering education: A survey of theresearch. Proceedings of the 2015 International Conference on Interactive CollaborativeLearning. Florence, Italy.6. Garrick, R. (2018). Flipped Classroom Video Analytics. ASEE Annual Conference, Salt LakeCity.7. M. L. Fowler, Flipping signals and systems—Course structure & results. Acoustics, Speechand Signal Processing (ICASSP), 2014 IEEE International Conference. Pp 2219-2223, IEEE 2014.8. S. Zappe, R. Leicht, J. Messner, T. Litzinger and H.W. Lee.” Flipping the Classroom to ExploreActive Learning in a Large Undergraduate Course” Proceedings ASEE 2009 Annual Conference.9. Burghardt, M. David. (2021). Burghardt Thermodynamics. Retrieved
. Reid, K. J., and Cooney, E. M., “Implementing rubrics as part of an assessment plan”. TheInternational Journal of Engineering Education, 24(5), 893-900, 2008.4. Schaffer, S. P., Chen, X., Zhu, X., and Oakes, W. C., “Self‐efficacy for cross‐disciplinarylearning in project‐based teams”. Journal of Engineering Education, 101(1), 82-94, 2012.5. Ulrich, V., “Rating Capstone Design Students on an Industrial Scale”. In 2008 ASEE AnnualConference, Pittsburg, PA, June 22-25, 2008. (pp. 13-1018).6. Felder, R. M., and Brent, R., “Designing and teaching courses to satisfy the ABETengineering criteria”. Journal of Engineering Education, 92(1), 7-25, 2003.7. Osman, A., Yahya, A. A., and Kamal, M. B., “A benchmark collection for mapping programeducational
of Energy, “A Common Definition for Zero Energy Buildings,” Sep. 2015.[3] M. Eastment et al., “Solar Decathlon 2002: The Event in Review,” National Renewable Energy Laboratory, DOE/GO-102004-1845, Jun. 2004.[4] L. Cervantes, T. Letts, L. Vita, and T. Juliani, “Power Forward 4.0: A Progress Report of the Fortune 500’s Transition to a Net-Zero Economy,” World Wildlife Fund, Jun. 2021.[5] “Annual Impact Report: Fiscal Year 2021,” Association for the Advancement of Sustainability in Higher Education. [Online]. Available: https://express.adobe.com/page/n7LSTrJx9RmA5/[6] U.S. Department of Energy, “Solar Decathlon: About Solar Decathlon,” Solar Decathlon. https://www.solardecathlon.gov/about.html (accessed Dec. 17, 2021).[7
category was not considered in analysis. 11Table 7. Paired Samples Testing Bloom’s Category p value Paired Samples Test Skewness (S) Remember <0.05 Sign Test -0.824 Understand <0.05 Sign Test -1.222 Apply <0.05 Sign Test -1.910 Analyze 0.031 Wilcoxon Test 0.228 Evaluate
. Eng. Educ., vol. 95, no. 2, pp. 123–138, 2006.[2] M. Mosgaard and C. M. Spliid, “Evaluating the impact of a PBL-course for first-year engineering students learning through PBL-projects,” in 2011 2nd International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace Electronic Systems Technology (Wireless VITAE), Feb. 2011, pp. 1–6. doi: 10.1109/WIRELESSVITAE.2011.5940927.[3] K. M. Yusof, A. N. Sadikin, F. A. Phang, and A. A. Aziz, “Instilling professional skills and sustainable development through Problem-Based Learning (PBL) among first year engineering students,” Int. J. Eng. Educ., vol. 32, no. 1, pp. 333–347, 2016.[4] C. S. Simmons, “Using CATME team-maker to form student groups in a
: https://www.facebook.com/UBNavigate/ • Twitter Page: https://twitter.com/UBNAVIGATE • Ten downloadable case studies that teach a variety of concepts, issues and strategies concerning women in STEM: https://www.buffalo.edu/navigate-project/case-studies.htmlReferences[1] Catalyst. (2015). Revealing the Real Millennials: Workplace Gender Bias. New York.Retrievedfrom http://www.catalyst.org/knowledge/revealing-real-millennials-workplace-gender-bias. 7[2] Bird, Sharon R., and Karla A. Erickson. 2010. A constructive controversy approach to casestudies. Teaching Sociology 38(2): 119-131.)[3] Shields, S. A., Zawadzki, M. J., & Johnson, R. N
Paper ID #37617An Organizational Review of CIP Code Designations forConstruction Science, Technology, Engineering, andManagement Programs and CurriculumYilmaz Hatipkarasulu (AssociateProfessor)Guntulu S Hatipkarasulu © American Society for Engineering Education, 2022 Powered by www.slayte.com An Organizational Review of CIP Code Designations for Construction Science, Technology, Engineering, and Management Programs and CurriculumABSTRACTThe higher education programs in the United States are organized using the Classification ofInstructional Program (CIP) codes. This taxonomic scheme
) and AEOP REAP through the Rochester Institute of Technology.Reference[1] N. N. Heilbronner, (2012). “The stem pathway for women.” Gifted Child Quarterly, 57(1), 39–55. https://doi.org/10.1177/0016986212460085[2] A. Connors-Kellgren, C. E. Parker, D. L. Blustein, & M. Barnett, (2016). “Innovations and challenges in project-based STEM Education: Lessons from ITEST”. Journal of Science Education and Technology, 25(6), 825–832. https://doi.org/10.1007/s10956-016-9658-9[3] N. Dasgupta, & J. G. Stout, (2014). “Girls and women in Science, Technology, Engineering, and Mathematics.” Policy Insights from the Behavioral and Brain Sciences, 1(1), 21–29. https://doi.org/10.1177/2372732214549471[4] S. Cano, (2022
, R.W. & Brown, S.D. & Hackett, Gail. (2002). Social cognitive career theory. Career Choice and Development (4th Ed.. 255-311).[5] Oyserman, Daphna & Destin, Mesmin. (2010). Identity-Based Motivation: Implications for Intervention. The Counseling psychologist. 38. 1001-1043. 10.1177/0011000010374775.[6] Bandura, A. (1994). Self-efficacy. In V. S. Ramachaudran (Ed.), Encyclopedia of human behavior (Vol. 4, pp. 71-81). New York: Academic Press. (Reprinted in H. Friedman [Ed.], Encyclopedia of mental health. San Diego: Academic Press, 1998).[7] Oyserman, D. (2015). Pathways to success through identity-based motivation, 188. https://doi.org/10.1093/oso/9780195341461.001.0001[8] Knight, M., & Cunningham, C
mechanics curriculum, as well as the efficacy of differentiatedlearning both within this class and as students continue through their curriculum in both subjectareas.BibliographyB. S. Bloom, “Mastery Learning,” in Mastery Learning: Theory and Practice, New York:Rinehart & Winston, 1971, pp. 47–63.Durm, Mark W. "An A is not an A is not an A: A history of grading." In The educational forum,vol. 57, no. 3, pp. 294-297. Taylor & Francis Group, 1993.Agrawal, Ashok K., and Stephanie Harrington-Hurd. "Preparing next generation graduates for aglobal engineering workforce: Insights from tomorrow's engineers." Journal of EngineeringEducation Transformations 29, no. 4 (2016): 5-12.Nilson, Linda B. Specifications grading: Restoring rigor, motivating
engineering programs, 2022–2023. url: https://www.abet.org/accreditation/accreditation-criteria/criteria-for-accrediting- engineeringprograms-2022-2023/.”[2] L. D. Feisel and A. J. Rosa, “The role of the laboratory in undergraduate engineering education,” Journal of engineering Education, vol. 94, no. 1, pp. 121–130, 2005.[3] T. Kotulski and S. Murray, “The national engineering laboratory survey,” Labshare Project. December, 2010.[4] M. Robinson, “The machina: an ecosystem of control system experiments,” ASEE NCS Regional Conference, Pittsburgh: ASEE 2022.[5] J. Sarik and I. Kymissis, “Lab kits using the arduino prototyping platform,” in 2010 IEEE Frontiers in Education Conference (FIE), pp. T3C–1, IEEE, 2010.[6] P. Jamieson and J
. M. Allen, “Essential Functions of Academic Advising: What Students Want and What Students Get,” NACADA Journal, vol. 26, no. 1, pp. 56-66, 2006.[5] B. J. Zimmerman, A. Bandura and M. Martinez-Pons, “Self-Motivation for Academic Attainment: The Role of Self-Efficacy Beliefs and Personal Goal Setting,” American Educational Research Journal, vol. 29, no. 3, pp. 663-676, 1992.[6] N. A. Mamaril, E. L. Usher, C. R. Li, D. R. Economy, and M. S. Kennedy, “Measuring Undergraduate Students’ Engineering Self-Efficacy: A Validation Study,” Journal of Engineering Education, vol. 105, no. 2, pp. 366-395, 2016.[7] B. W. Smith, J. Dalen, K. Wiggens, E. Tooley, P. Christopher, and J. Bernard, “The Brief Resilience Scale: Assessing the
MIDFIELD as well as student veterans in engineering. Her evaluation work includes evaluating teamwork models, broadening participation initiatives, and AGEP, S-STEM and LSAMP programs.Ms. Andrea Stancescu, NC State University Hello, My name is Andrea Stancescu and I am a junior in the undergraduate applied mathematics and statistics program at NC State. I have been working with Dr. Brawner since August of 2021 on collecting and analyzing the survey results from the AGEP-NC project. I am looking forwards to working with everyone!Dr. Maureen Grasso, NC State University Maureen Grasso former Dean of the Graduate School at North Carolina State University and the Univer- sity of Georgia has over 16 years as a dean in
, Natesan, P. Vidhya, and Xiao-Zhi Gao. "Virtual laboratory: A boon to the mechanical engineering education during covid-19 pandemic." Higher Education for the Future 8.1 (2021): 31-46.5. Makransky, Guido, Thomas S. Terkildsen, and Richard E. Mayer. "Adding immersive virtual reality to a science lab simulation causes more presence but less learning." Learning and Instruction 60 (2019): 225-236.6. Deshpande, Amit A. and Samuel H. Huang. "Simulation games in engineering education: A state‐of‐the‐art review." Computer Applications in Engineering Education 19.3 (2011): 399-410.7. Brown, Corina E., et al. "Visualizing molecular structures and shapes: A comparison of virtual reality, computer simulation, and traditional
validation strategy." Global Journal of Engineering Education 13.3 (2011): 96-101.9. Lui V.M., Gallardo- Córdova, K.E., Castillo- Díaz S., "Performance and authentic assessment in a mechanical engineering course." Global Journal of Engineering Education 20.1 (2018): 30-38.10. Cruz M.L., Saunders-Smits G.N., Groen P., "Evaluation of competency methods in engineering education: a systematic review." European Journal of Engineering Education (2019): 1-29.
. Johnson, and C. J. Finelli, “The role of college knowledge and proactive behavior on participation in cocurricular activities,” J. Eng. Educ., vol. 110, no. 1, pp. 114–142, 2021, doi: 10.1002/jee.20380.[4] C. A. Capper, Interpretivist Epistomology. New York City NY: Routledge, 2018.[5] V. Braun and V. Clarke, “Using thematic analysis in psychology,” Qual. Res. Psychol., vol. 3, no. 2, pp. 77–101, 2006.[6] K. Charmaz, Constructing grounded theory. SAGE Publications, 2006.[7] E. Nordmann, C. E. Küepper-Tetzel, L. Robson, S. Phillipson, G. I. Lipan, and P. McGeorge, “Lecture capture: Practical recommendations for students and instructors.,” Scholarsh. Teach. Learn. Psychol., 2020, doi: 10.1037/stl0000190.[8
-option multiple-choice test, for example,there is a 25% chance of choosing a correct option by pure luck. Similarly, a test taker has 75% chance ofchoosing the wrong option inadvertently. The fact that what students really know may be so confoundedundermines the objective of administering CIs to probe their prior knowledge. Similarly, it may also bedifficult to determine whether a respondent chose a wrong option on the CI test due to a lack of priorknowledge or as the result of having a misconception(s) about the concept the test item assesses. Accordingto extant conceptual change literature, being able to differentiate between misconceptions and a lack ofknowledge has considerable implications for effective pedagogy [9, 11, 12]. Thus, an
in space and earth system sciences as well asprecision agriculture and environmental stewardship are aligned with the NASA and USDAeducational and research objectives, the land grant mission of University of Maryland EasternShore(UMES), workforce development undertakings, and the goals of the “Smart Farming” and“AIRSPACES” projects ongoing on campus for the past several years. Since their inception, theseprojects have embraced the experiential learning paradigm within a multidisciplinary verticallyintegrated project framework [1, 2]. Undergraduate engineering and computer science students, aswell as other STEM majors, have worked alongside graduate student(s) in the doctoral program inFood Science and Technology (FDST) to advance the project
thank the anonymousreviewers for their feedback.References[1] Austin Cory Bart, Dennis G. Kafura, Clifford A. Shaffer, and Eli Tilevich. Reconciling the promise and pragmatics of enhancing computing pedagogy with data science. In Proceedings of the 49th ACM Technical Symposium on Computer Science Education, SIGCSE 2018, Baltimore, MD, USA, February 21-24, 2018, pages 1029–1034, 2018.[2] Lillian N. Cassel, Michael Posner, Darina Dicheva, Don Goelman, Heikki Topi, and Christo Dichev. Advancing data science for students of all majors (abstract only). In Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education, Seattle, WA, USA, March 8-11, 2017, page 722, 2017.[3] Jeffrey S. Saltz, Neil I. Dewar, and
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funded in 2014-2018 under grant EEC-1359137, in 2010-2013 under grant EEC-1004915 and in 2006-2008 under grant EEC-0552737.References1. E. Seymour, A.-B Hunter, S. Laursen, and T. DeAntoni, T. "Establishing the benefits of research experiences for undergraduates: first findings from a three-year study," Sci. Educ., 88, pp. 493-594, 2004.2. A.W. Astin, What matters in college? Four critical years revisited. San Francisco: Jossey- Bass., 1993.3. Pascarella, E. T., & Terenzini, P. T., How college affects students: Findings and insights from twenty years of research. San Francisco: Jossey-Bass., 1991.4. Boyer Commission on Educating Undergraduates in the Research University, Reinventing Undergraduate Education: A Blueprint for