(tetrafluoroethylene): A Virtuous Cycleof Wear Reduction and Tribochemical Accumulation", The Journal of Phyical Chemistry C 2021,125, 19417−194276. Hasan Muhandes, Ádám Kalácska, László Székely , Róbert Keresztes and Gábor Kalácska,"Abrasive Sensitivity of Engineering Polymers and a Bio-Composite under Di_erent AbrasiveConditions", Materials 2020, 13, 52397. A.P. Harsha, "An investigation on low stress abrasive wear characteristics of high performanceengineering thermoplastic polymers", Wear 271 (2011) 942– 9518. R. Tarodiya, A. Levy, "Erosion of polymers and polymer composites surfaces by particles",Advanced Powder Technology 32 (2021) 3149–31599. S. Soleimani, J. Sukumaran, A. Kumcu, P. De Baets, W. Philips, "Quantifying abrasion andmicro-pits in polymer
-9.[9] K. L. Dickson and M. D. Miller, "Authorized crib cards do not improve exam performance," Teaching of Psychology, vol. 32, no. 4, pp. 230-233, 2005.[10] B. G. Johnson and C. S. Sargent, "Impact of formulas, language and instruction on student performance on cost-volume-profit problems," Accounting Education, vol. 23, no. 1, pp. 22-41, 2014.[11] N. Mathew, "Student preferences and performance: A comparison of open-book, closed book, and cheat sheet exam types," 2012 NCUR, 2012.[12] D. Visco, S. Swaminathan, L. Zagumny, and H. Anthony, "Interpreting Student Constructed Study Guides," in 2007 Annual Conference & Exposition, 2007, pp. 12.955. 1-12.955. 10
distributed to the students inboth sections. Questions addressed students’ familiarity and experiences with Generative AI andtheir opinions about its use in academic and professional settings, as well as its overall risks andbenefits. In Class 1, 59 students responded, and in Class 2, 34 students responded to the survey.The responses were anonymous; the instructors only categorized responses by section. Figures1–6 below show the two sections’ responses to the first 6 questions.Figure 1. Rate your familiarity with Generative AIComparing the two classes’ responses, the most significant differences are in the responses“never used” and “not very familiar.” In Class 2 (no instruction), over a third of the studentschose “never used” (34%), while Class 1’s
adjust to new people, places, and situations.14. Groups usually produce better results when they are made up of people who all see things thesame way.References[1] S. Nazari, P. Rodriguez, “International Critical Thinking and International CommunicationsAttitudes and Beliefs Survey Report,” University of Florida International Center-Office of GlobalLearning, 2021.[2] R. Davies, H. Zaugg, I. Tateishi, “Design and development of a cross-cultural dispositioninventory,” European Journal of Engineering Education, Volume 40, Number 1, pp. 81-94, 2015.[3] D. B. Knight, K. A. Davis, T. J. Kinoshita, C. Twyman, A. M. Ogilvie, “The Rising SophomoreAbroad Program: Early Experiential Learning in Global Engineering,” Advances in EngineeringEducation, Volume
Labs for past generous support of laboratory equipmentand site licenses for software.7. References[1] Silicon Laboratories, UG377: EFM8BB1LCK User’s Guide, Rev. 0.1 10/2018[2] Silicon Laboratories, EFM8 Busy Bee Family EFM8BB1 Data Sheet, Rev. 1.6 03/2017[3] D. R. Wilcox, S. E. Wilson and G. W. Wöstenkühler, “Embedded Design in a SophomoreCourse ”, in Proceedings of the 2008 ASEE National Conference and Exposition, Pittsburgh,Pennsylvania, June 22-25, 2008
,” InsideHigher Ed, March 31, 2020. [Online]. Available: https://www.insidehighered.com/digital-learning/blogs/learning-innovation/teaching-and-learning-after-covid-19. [Accessed October 15,2023][2] A. Bashir, S. Bashir, K. Rana, P. Lambert, and A. Vernallis, “Post-COVID-19 Adaptations;the Shifts Towards Online Learning, Hybrid Course Delivery and the Implications forBiosciences Courses in the Higher Education Setting,” Frontiers in Education, vol. 6, August2021. [Online]. Available: https://doi.org/10.3389/feduc.2021.711619. [Accessed November 1,2023][3] R. J. Rowe, L. Koban, A. J. Davidoff, and K. H. Thompson, “Efficacy of Online LaboratoryScience Courses,” Journal of Formative Design in Learning, vol.2, pp. 56–67, December 2017.[4] M. A. Sarvary, F. R
Thermodynamics classes, as well as a senior level lab class that covers both thermal/fluid and mechanical systems. One of the thermal/fluid labs examines a steam generation powerunit called the RankineCycler™, which is produced by Turbine Technologies.1 This particularlab is used by several engineering programs throughout the country, and has been evaluated byGerhardt et. al. quite extensively.2-4 The focus of this lab is to provide students the opportunity toapply several of the topics covered in the Thermodynamics classes to an actual power producingsystem. These topics include: 1) Plotting a T-S curve for a cycle 2) Calculating the isentropicand second law efficiency of a steam turbine 3) Calculating the 1st law efficiency of a powerplant.While this
York, NY: McGraw Hill. (2007). 4. Cleveland, D., & Ireland, L. R. Project Management: Strategic Design and Implementation. New York, NY: McGraw Hill. (2009). 5. Murphy, C., Allen, D., Allenby, B., Crittenden, J., Davisosn, C., Hendrickson, C., & Mtheus, H. Sustainability in Engineering Education and Research at U.S Universities. Environmental Science & Technology, 5558-5564, 2009, 43(15). 6. Matthew, V., Lipkin-Moore, S., Arce, P. E., Arce-Trigatti, A., Lavoine, N., Lucia, L., Selvi, E., Eggermont, M., Tiryakioglu, M., Hall, J., Edelen, R., & Plumblee, J. A Roadmap for the Design and Implementation of Communities of Practice for Faculty Development. Paper presented at 2022 ASEE Annual
: https://www.bls.gov/ooh/computer-and-information-technology/home.htm [2] K12CS (November 2023). K-12 Computer Science Framework [Online]. Available at: https://k12cs.org/ [3] Code.org (2022). 2022 State of Computer Science Education [Online]. Available at: https://advocacy.code.org/2022_state_of_cs.pdf [4] S. Wilson and M. Egerstedt, "The Robotarium: A Remotely-Accessible, Multi- Robot Testbed for Control Research and Education," IEEE Open Journal of Control Systems, 2022, vol. 2, pp. 12-23, doi: 10.1109/OJCSYS.2022.3231523. [5] Robotarium Python Simulator [Online]. Available at: https://github.com/robotarium/robotarium_python_simulator. [6
toquestions found in the textbook. Students were allowed to select any problem from the“developing engineering skills” section of the textbook problems, all of which had solutionswhich requires logic, skills, and concepts from the current chapter. Students were awarded creditfor having the following seven elements: a summary of the problem statement, a sketch of thesystem(s) in the problem, key equations and concepts used, a state table (if it was relevant to theproblem), a summary of the solution process, the solution to the problem, and at least one “sanitycheck” somewhere during or after the solution process. The sanity check provides students anopportunity to evaluate how realistic their solution or solution process. Each video had a softtime
evolution, standards, and infrastructure associated with vehicle-to-everything communications by internet of vehicles." IEEE access 8 (2020): 117593-117614.22 Coccia, Mario. "The theory of technological parasitism for the measurement of the evolution of technology and technological forecasting." Technological Forecasting and Social Change 141 (2019): 289-304.23 Almgren, Richard, and Dmitry Skobelev. "Evolution of technology and technology governance." Journal of Open Innovation: Technology, Market, and Complexity 6, no. 2 (2020): 22.24 Craps, S., Pinxten, M., Knipprath, H., & Langie, G. “Exploring professional roles for early career engineers: a systematic literature review. “European Journal of Engineering Education
-occupational- injuries/number-and-rate-of-fatal-work-injuries-by-industry.htm[2] G. M. Waehrer, X. S. Dong, T. Miller, E. Haile, and Y. Men, “Costs of occupational injuries in construction in the United States,” Accid. Anal. Prev., vol. 39, no. 6, pp. 1258–1266, Nov. 2007, doi: 10.1016/j.aap.2007.03.012.[3] “Census of Fatal Occupational Injuries Summary, 2022 - 2022 A01 Results.” Accessed: Jan. 09, 2024. [Online]. Available: https://www.bls.gov/news.release/cfoi.nr0.htm[4] J. E. Roughton, OSHA 2002 recordkeeping simplified. Amsterdam Boston: Butterworth- Heinemann, 2003.[5] “What is OSHA’s Definition of a Near Miss? - OSHA.com.” Accessed: Jan. 09, 2024. [Online]. Available: https://www.osha.com/blog/near-miss-definition[6] E. A.-L
. "Using personal learning environments before, during and after the pandemic: The case of “e-me”." Education Sciences 13, no. 1 (2023): 87.[5] Lester, J., Klein, C., Rangwala, H., & Johri, A. (2017). Learning analytics in higher education: ASHE Higher Education Report. John Wiley & Sons.[6] Romero, C., & Ventura, S. (2010). Educational data mining: a review of the state of the art. IEEE Transactions on Systems, Man, and Cybernetics, Part C (applications and reviews), 40(6), 601-618.[7] Markowska-Kaczmar, U., Kwasnicka, H., & Paradowski, M. (2010). Intelligent techniques in personalization of learning in e-learning systems. In Computational Intelligence for Technology Enhanced Learning (pp. 1-23). Berlin
, Illinois, June 18-21, 2006[2] S. Laguette, “Assessment of Project Completion for Capstone Design Projects”, American Society for Engineering Education Annual Conference and Exposition, San Antonio, Texas, June 10-13, 2012[3] R. Bringula, “Development of Rubrics for Capstone Project Courses: Perspectives from Teachers and Students”, Computer and Society, 2011, Available online at https://doi.org/10.48550/arXiv.2011.11035[4] D. Jones, “Successful Use of Rubrics to Assess Student Performance in Capstone Projects”, American Society for Engineering Education Annual Conference and Exposition, Louisville, Kentucky, June 20-23, 2010 [5] T. Sasipraba et. al., “Assessment Tools and Rubrics for Evaluating the Capstone Projects
interviews in future trips will bestructured to ensure that younger adults and students are represented, as well as to gatherinformation from older adults regarding their support needs.References[1] E. Tsang, J. Van Haneghan, B. Johnson, E.J. Newman, and S. Van Eck. “A report on service-learningand engineering design: service-learning's effect on students learning engineering design in Introductionto Mechanical Engineering”. International Journal of Engineering Education, 17(1), pp. 30-39, 2001.[2] W. Oakes. Creating effective and efficient learning experiences while addressing the needs of thepoor: an overview of service learning in engineering education. In 2009 Annual Conference &Exposition (pp. 14-381), June 2009.[3] M. Lima. Service-Leaning
programming projects.In essence, the Micro:Bit code project has proven to be an effective pedagogical tool inmotivating and engaging freshman electrical engineering students, bridging the gap betweentheoretical knowledge and practical application. The project's success not only reinforces thesignificance of integrating tangible projects in programming education but also underscores theenduring relevance of computational thinking and programming skills in the evolving landscapeof electrical engineering.References[1] J. Wing, "Computational Thinking," Communications of the ACM, vol. 49, no. 3, pp. 33-35,2006.[2] S. Bundy, "Computational Thinking is Pervasive," Journal of Scientific and PracticalComputing, vol. 1, no. 2, pp. 67-72, 2007.[3] M. J
differentbackgrounds.As I was listening to my group mates' cultural/heritage inspired projects, I gained a newappreciation for the amount of diversity at Georgia Tech. With a simple criteria of being fromone's own heritage, everyone created a unique and intriguing project.ReferencesBecker, Mas, S. Dong, J. Kronholz, and C. Brownson. 2018. “Relationships between Stress and Psychosocial Factors with Sources of Help-Seeking among International Students.” Journal of International Students 8 (4): 1636–61.Bowman, Nicholas A. 2010. “The Development of Psychological Well-Being among First-Year College Students.” Journal of College Student Development 51 (2): 180–200.Brophy, Jere. 1983. “Conceptualizing Student Motivation.” Educational Psychologist 18
Proceedings, Virtual On line: ASEE Conferences, Jun. 2020, p. 34664. doi: 10.18260/1-2--34664.[2] J. L. Hsu, M. Rowland-Goldsmith, and E. B. Schwartz, “Student Motivations and Barriers toward Online and In-Person Office Hours in STEM Courses,” CBE—Life Sci. Educ., vol. 21, no. 4, p. ar68, Dec. 2022, doi: 10.1187/cbe.22-03-0048.[3] L. Li, J. Finley, J. Pitts, and R. Guo, “Which is a better choice for student-faculty interaction: synchronous or asynchronous communication?”.[4] T. Schubert, F. Jacobitz, and E. Kim, “Office Hours Re-imagined: Mentored Learning in Ideation Spaces,” in 2016 ASEE Annual Conference & Exposition Proceedings, New Orleans, Louisiana: ASEE Conferences, Jun. 2016, p. 25817. doi: 10.18260/p.25817.[5] S. C
. © American Society for Engineering Education, 2023 References[1] Welding, L., (2023). US college enrollment decline: Facts and figures. Downloaded on November 14 from:www.bestcolleges.com/research/college-enrollment-decline/#[2] U.S. Census Bureau, 2023. Annual Estimates of the Resident Population: 2010 to 2019 (PEPANNRES). Down-loaded on November 10, 2023 from www.uscensus.gov .[3 ] Matilda, N., and Nordberg, E., (2023). The Impact of Unemployment on Enrollment in Higher Education: TheCase of Sweden. International Economics, June 2023.[4] June, A.W., (2022). Here’s how rising inflation is affecting higher ed. Chronicle of Higher Education. April 14, 2022.[5] Janke, S., (2020). Prospective
perform lab experiments without the need to go to a physical lab. This has opened a door forteaching advanced concepts with the help of computer programs – some of these experiments areeither prohibitively expensive to perform in an academic setting or technically infeasible withoutthe full industrial infrastructure. For example, Du Val and He used state-of-the-art aircraftmodeling and simulation tools for rotorcraft design, analysis, test, and full-flight simulationapplications [18]. They also developed Graphical User Interfaces that provide user-friendlyoperation. Likewise, Jasti et al.’s study showed that student performance in the application,analysis, synthesis, and evaluation learning levels improved compared to those not provided in
2604-2622, ISSN 0360-5442,https://doi.org/10.1016/j.energy.2005.10.023.(https://www.sciencedirect.com/science/article/pii/S0360544205002264)[4] Sandholmy, W.H.; 2012, Lecture Notes on Game Theory[5] Saaty T. L., 2008; Decision making with the analytic hierarchy process; Int. J. Services,Vol.1, No.1 2008.[6] Triantaphyllou, E., Using the analytic hierarchy process for decision making in engineeringapplications: Some challenges, February 1995, The International Journal of IndustrialEngineering: Theory, Applications and Practice 2(1):35-44[7] Hansson S. O., 2005; Decision Theory, A brief Introduction[8] Swiler L., P., Paez T. L., Mayes R. L., 2009; Epistemic Uncertainty Quantification Tutorial.[9] Negnevitsky, M. (2005). Artificial intelligence
students.In conclusion, the transformation of the Digital Design Lab course at Georgia SouthernUniversity stands as a testament to the potential of thoughtfully designed educationalresources to enhance student learning outcomes. The ongoing process of assessment andrefinement ensures that the course will continue to evolve, keeping pace with technologicaladvancements and educational best practices. This initiative not only benefits the students ofGeorgia Southern University but also holds the promise of influencing digital designeducation in a broader academic context.References[1] “Open Educational Resources | UNESCO.” https://www.unesco.org/en/open- educationalresources (accessed Nov. 15, 2023).[2] S. Huntsman, A. C. Edenfield, and E. L. Davis