), 2235–2254. https://doi.org/10.1007/s11948- 020-00216-2[4] Stelios, S., & Christodoulou, A. (2020). “Teaching professional integrity: An empirical study on engineering students.” International Journal of Engineering Pedagogy (IJEP), 10(3), 98. https://doi.org/10.3991/ijep.v10i3.12013[5] Hess, J. L., Beever, J., Zoltowski, C. B., Kisselburgh, L., & Brightman, A. O. (2019). “Enhancing engineering students' ethical reasoning: Situating reflexive principlism within the Sira framework.” Journal of Engineering Education, 108(1), 82–102. https://doi.org/10.1002/jee.20249[6] Martin, D. A., Conlon, E., & Bowe, B. (2021). “A multi-level review of Engineering Ethics Education: Towards a socio-technical orientation of
University. I am the PI on a multi- institutional track 3 S-STEM grant designed to support low-income students in eastern NC at East Carolina University and 3 partnering community colleges. My disciplinary scholarship focuses on sensor networks for improvement of health. My educational scholarship focuses on curricular innovations and support to improve student outcomes. © American Society for Engineering Education, 2022 Powered by www.slayte.comLessons Learned from a Portfolio of Community-Engaged Capstone Projects Related to Engineering EconomicsAbstractThis paper examines a portfolio of community-engaged capstone projects with teams ofinterdisciplinary
orrecommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation.References[1] A. Aristovnik, D. Keržič, D. Ravšelj, N. Tomaževič, and L. Umek, “Impacts of the COVID- 19 pandemic on life of Higher Education Students: A global perspective,” Sustainability, vol. 12, no. 8438, pp. 1 – 34, Oct. 2020.[2] A. N. Ofori-Boadu, A. Ferguson, & A. White, “Mitigating our Diminishing STEM- SELF SYNDROME (DS CUBED): The voices of STEM students during COVID- 19 pandemic. 2021 Virtual National Science Foundation – HBCU – UP/ CREST PI/PD Meeting, February 2021. [Online[ Available: https://emerging-researchers.org/2021-hbcu-up-crest- pi-pd-presentation-videos
for Design and Technology in Electronic Packaging.[2] Rassudov, L, and A Kornuets, “COVID-19 Pandemic Challenges for Engineering Education,” Proceedings of the 2020 XI International Conference on Electrical Power Drive Systems (ICEPDS), Saint-Petersburg, Russia.[3] Choi, Back-Young, S. Song, and R. Zaman, “Smart Education: Opportunities and Challenges Inducted by COVID-19 Pandemic,” Proceedings of the 2020 IEEE International Smart Cities Conference (ISC2).[4] Gill, A, D. Irwin1, R. Yuk-kwan Ng, D. Towey1, T. Wang, and Y. Zhang, “The Future of Teaching Post-COVID-19: Microlearning in Product Design Education,” Proceedings of the 2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE).[5
statistics from the current population survey. [Online]. Available: https://www.bls.gov/cps/cpsaat11.htm [2] N. C. of Education Statistics. (2020) Race/ethnicity of college faculty. [Online]. Available: https://nces.ed.gov/fastfacts/display.asp?id=61 [3] U. S. C. Bureau. (2021) Acs demographic and housing estimates. [Online]. Available: https://data.census.gov/cedsci/table?q=United%20States&tid=ACSDP1Y2019.DP05 [4] ——. (2021) Quick facts texas. [Online]. Available: https://www.census.gov/quickfacts/fact/table/TX/POP010210 [5] N. S. Foundation. (2017) Women, minorities, and persons with disabilities in science and engineering. [Online]. Available: https://www.nsf.gov/statistics/2017/nsf17310/digest/occupation/overall.cfm [6
, which lasted betweenthree and ten minutes.interview so it could be transcribed later for analysis. Participants were asked questions such as,used in the activity made sense to you and were easy to understData AnalysisField notes from the observations and transcripts from the interviews were analyzed using firstand second cycle coding procedures [23] in MAXQDA, a qualitative data analysis software [24].Two members of the research team independently analyzed the field notes and interviewtranscripts to identify codes relating to spatial language. The research team also used the origami s as a priori codes [23] to serve as astarting point for the first cycle of coding. After coding
isused loosely by the public. Often it is used to describe a repair person, of for example,television or washing machines.The two pathways had their origins in the industrial revolution. The first two universitydepartments of engineering were created in the 1830’s [3]. The importance of applied scienceseems to have been recognised from the beginning. Indeed, it was Humphrey Lloyd, theProfessor of Natural Philosophy, who in 1841 proposed that Trinity College Dublin shouldestablish training in engineering, the teaching of which would be supported by professors(scientists and mathematicians) already in the university [4].In parallel, in Scotland, there developed from 1821 a system of voluntary MechanicsInstitutes which spread across England and
“successful” in terms of student enrollment, degrees awarded, and jobplacements. Ultimately, our intent is to determine how IABs can have more direct influence andinput into engineering technologies, for the benefit of both parties.References[1] Fran Stewart and Kathryn Kelley, “Connecting hands and heads: retooling for the ‘smart’ manufacturingworkplace,” Economic Development Quarterly, Feb. 2020.[2] National Academy of Engineering, Understanding the Educational and Career Pathways of Engineers.Washington, DC: The National Academies Press, 2018.[3] S. Matos, D. Riley, and A. Akera, “WannABET? Historical and organizational perspectives on governance inengineering education,” In Proc. ASEE Annual Conference & Exposition, Columbus, OH, 2017.[4] K
Job with a Huge Skills Gap: Cyber Security," Forbes Media LLC, March 2017. [Online]. Available: Forbes.com.[3] S. Snitkin, "IT-OT Cybersecurity Convergence," 2018. [Online]. Available: https://www.arcweb.com/blog/it-ot-cybersecurity-convergence.[4] J. Manyika and et. al., "Unlocking the Potential of the Internet of Things," McKinsey Global Institute, McKinsey and Company, June 2015.[5] M. Montgomery and S. F. Ravich, "Opinion: The Cybersecurity Risk to Our Water Supply is Real. We Need to Prepare.," Washington Post, 3 January 2022.[6] Texas A&M University-Commerce, Human Subject Protection, Policy 15.99.01.R1, 2019.[7] K. Zurkus, "How Can Industry Leaders and Academic Help Improve Cybersecurity Education?," Available online
and R. Munoz-Luna, “Scrum Methodology in Higher Education: Innovation in Teaching, Learning and Assessment.,” Int. J. High. Educ., vol. 6, no. 6, pp. 1– 18, 2017.[9] A. Jaiswal, T. Karabiyik, P. Thomas, and A. J. Magana, “Characterizing Team Orientations and Academic Performance in Cooperative Project-Based Learning Environments,” Educ. Sci., vol. 11, no. 9, Art. no. 9, Sep. 2021, doi: 10.3390/educsci11090520.[10] S. A. Wheelan, B. Davidson, and F. Tilin, “Group development across time: Reality or illusion?,” Small Group Res., vol. 34, no. 2, pp. 223–245, 2003.[11] D. W. Johnson, R. T. Johnson, and K. A. Smith, “Cooperative learning: Improving university instruction by basing practice on validated theory,” J. Excell. Univ
. 116, no. 1, pp. 75–98, 1994, doi: 10.1037/0033-2909.116.1.75.[2] J. J. Jirout, V. E. Vitiello, and S. K. Zumbrunn, “Curiosity in schools,” in The new science of curiosity, Hauppauge, NY, US: Nova Science Publishers, 2018, pp. 243–265.[3] L. D. Feisel and A. J. Rosa, “The role of the laboratory in undergraduate engineering education,” J. Eng. Educ., vol. 94, no. 1, pp. 121–130, 2005, doi: 10.1002/j.2168-9830.2005.tb00833.x.[4] D. A. Sabatini, “Teaching and research synergism: The undergraduate research experience,” J. Prof. Issues Eng. Educ. Pract., vol. 23, pp. 98–102, 1997, doi: 10.1061/(ASCE)1052- 3928(1997)123:3(98).[5] D. Lopatto, “Survey of undergraduate research experiences (SURE): First findings,” Cell Biol
survey included items from the Math Anxiety Ratings Scale(MARS-30) to measure levels of student math test anxiety. Students were also given a surveyabout their future-oriented motivation in their FYE course that uses a 7-point Likert scale to as-sess factors including students’ perceptions, connectedness, value, clarity, and alignment of theirfuture(s). These two survey data sets were combined to allow the simultaneous exploration ofboth their perceptions of Calculus exams and perceptions of the future.After collecting and cleaning the data on students’ perception of Calculus exams, we performedan Exploratory Factor Analysis. We found that students see the purpose of Calculus exams infour ways: with a future oriented purpose, with a performance
Canvas quizz:Quiz_A1 1 = Point value per question:Basic concepts covered::Understanding units # Question Answer Another answer Another answer Another answer Another answer 1 Slugs are units of ___. mass 2 kg/(m*s^2) are units of ___. pressure normal stress shear stress 3 ___ has units of kg/(m*s^2). pressure normal stress shear stress
study.REFERENCES[1] US News, 2022, "U.S. News Education Rankings Colleges," [Online]. Available: https://www.usnews.com/best-colleges/rankings [Accessed Feb. 13, 2022].[2] IDEO, 2022, “What is Design Thinking?” [Online]. Available: https://www.ideou.com/blogs/inspiration/what-is-design-thinking [Accessed Feb. 13,2022].[3] Vargas Hernandez, N., Fuentes, A., & Crown, S. (2018, October). Effectively Transforming Students through First Year Engineering Student Experiences. In 2018 IEEE Frontiers in Education Conference (FIE) (pp. 1-5
. Nendaz and A. Tekian, “Assessment in Problem-Based Learning Medical Schools: A Literature Review,” Teach. Learn. Med., vol. 11, no. 4, pp. 232–243, Oct. 1999, doi: 10.1207/S15328015TLM110408.[7] J. Baggini, “What professionalism means for teachers today.,” Educ. Rev., vol. 18, no. 2, 2005.[8] R. L. Blake, M. C. Hosokawa, and S. L. Riley, “Student Performances on Step 1 and Step 2 of the United States Medical Licensing Examination Following Implementation of a Problem-based Learning Curriculum:,” Acad. Med., vol. 75, no. 1, pp. 66–70, Jan. 2000, doi: 10.1097/00001888- 200001000-00017.[9] D. Gijbels, F. Dochy, P. Van den Bossche, and M. Segers, “Effects of Problem-Based Learning: A Meta-Analysis From the Angle of Assessment
= � � 𝑑𝑑𝑡𝑡𝑡𝑡𝑡𝑡𝑡𝑡 𝑑𝑑𝑑𝑑The results from the shakedown test are shown in Figure 9, along with a plot of the prediction ofinviscid theory (Bernoulli’s equation) which is not developed here formally. The result is that thevelocity of the exit jet is the same as what would be obtained from an object dropped in free fallfrom a height h. The main experimental result here is obtained from mass principles only. 6 5 Inviscid Theory Vexit = (2gH)0.5 4 Exit Velocity (m/s) 3 Experimental Data 2
desired by students. 8. References[1] D. Raviv, “Visual Explanations of First Order Differential Equations,” in 16th LACCEIInternational Multi-Conference for Engineering, Education, and Technology, 2018.[2] T. Goldfinch, A. L. Carew, and T.J. McCarthy, “Improving Learning in EngineeringMechanics: The Significance of Understanding Causes of Poor Performance,” in Proceedings ofthe AAEE Conference, 2008.[3] S. Baker and L. Talley, “The Relationship of Visualization Skills to Achievement inFreshman Chemistry,” in Journal of Chemistry Education, 1972.[4] J. Velazquez-Iturbide, I. Hernan-Losada, and M. Paredes-Velasco, “Evaluating the Effectof Program Visualization on Student Motivation,” in IEEE Transactions on Education, 2017.[5] R
, and detailed fabrication files on theDAMNED project with interested faculty members. Please contact us using the information inthe title block of the article. This material is based upon work supported by the National ScienceFoundation under Grant No. EEC-2022271. Any opinions, findings, and conclusions orrecommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation.Citations[1] J. E. Froyd, P. C. Wankat, and K. A. Smith, “Five Major Shifts in 100 Years of Engineering Education,” Proc. IEEE, vol. 100, pp. 1344–1360, 2012.[2] C. R. Mann and M. Press, “A Study of Engineering Education,” Carnegie Foundation for the Advancement of Teaching, Boston
of Participant, Gender of Participant b. Predictors: (Constant), Number of courses taken (students) or taught (faculty), Type of Participant, Gender of Participant c. Predictors: (Constant), Type of Participant, Gender of Participant d. Predictors: (Constant), Type of Participant e. Dependent Variable: Total score in the concept test out of 20The ANOVA results of the four models created from the auto linear regression using a backwardalgorithm showed that although Models 2 and 3 were significant at p<0.05, Model 4 wassignificant at p<0.001, and it has an F-statistic>4, which is twice the Model 3’s. Thus, Model 4performed best among the
ensure the accessibility and functionality of the video modules. Theproject team plans to carry over the learned experiences and skill set to simplify the video designand development process in the future.AcknowledgementThis work is sponsored by CSU STEM-NET program.References 1. Kim, J. (2021). 11 Takeaways from the 2021 CHLOE Report. Inside Higher Ed, https://www.insidehighered.com/blogs/learning-innovation/11-takeaways-2021-chloe- report 2. Noetel, M., Griffith, S., Delaney, O., Sanders, T., Parker, P., Cruz, B., and Lonsdale, C. (2021). Video Improves Learning in Higher Education: A Systematic Review, Review of Educational Research, 91(2): 204–236. 3. Månsson, J., Löfgreen, J., and Warfvinge P. (2017
study skills and/orstudents struggling to adapt the correct learning technique(s) best associated for a certain topic. Masteringthe content in ordered sequence is particularly critical as students in AE are a non-controlled enrollmentstatus, that is, students with lower than 3.0 GPA may enter the major. Anecdotal evidence indicates thatstudents at lower GPA levels have greater difficulties with these challenging courses. In many instances,the difficulties can be attributed to underdeveloped learning skills and their cognitive processing abilities.Failure to successfully complete these courses unwittingly results in setbacks, such as, on-time entrance tomajor and academic progress in subsequence major courses for a significant number of
Paper ID #37442Design, Fabrication, and Testing of Next Generation DesktopLearning Modules for Chemical and Mechanical EngineeringEducationAminul Islam Khan (Mr.) Aminul Islam Khan Received his B.S. and M. S. from the Bangladesh University of Engineering and Technology where he also served as a Lecturer and Assistant Professor. Currently, Khan is a Ph.D. candidate at Washington State University. He has been involved in multidisciplinary research including hands-on learning for STEM education, transport modeling in micro/nanoscale devices, and various inverse techniques including Bayesian inference, Monte Carlo
EducationAnnual Conference & Exposition.[3] Fabien, Brian and Vereen, Keona. Implementing a Freshman Engineering Design Experience at theUniversity of Washington. 3rd International Conference on Higher Education Advances, HEAd’17,Valencia, 2017.[4] J. Kellar, W. Hovey, M. Langerman, S. Howard, L. Simonson, L. Kjerengtroen, L. Sttler, H.Heilhecker, L. Ameson-Meyer, and S. Kellogg, A problem-based learning approach for freshmanengineering, in 30th Annual Frontiers in Education Conference (FIE), Feb. 2000.[5] H. Lei, F. Ganjeizadeh, D. Nordmeyer, and J. Phung, Student learning trends in a freshman-levelintroductory engineering course, in 2017 IEEE Global Engineering Education Conference (EDUCON),April 2017, pp. 152–156.[6] L. A. Meadows, R. Fowler, and
Instruction, vol. 35, no. 4, pp. 265–289, Oct. 2017, doi:10.1080/07370008.2017.1355211.[3] V. Borum and E. Walker, “What Makes the Difference? Black Women’s Undergraduateand Graduate Experiences in Mathematics,” The Journal of Negro Education, vol. 81, no. 4, pp.366–378, 2012, doi: 10.7709/jnegroeducation.81.4.0366.[4] M. S. Ross, B. M. Capobianco, and A. Godwin, “REPOSITIONING RACE, GENDER,AND ROLE IDENTITY FORMATION FOR BLACK WOMEN IN ENGINEERING,” JWomen Minor Scien Eng, vol. 23, no. 1, pp. 37–52, 2017, doi:10.1615/JWomenMinorScienEng.2017016424.[5] S. J. Robinson, “Spoke tokenism : Black women talking back about graduate schoolexperiences,” Race Ethnicity and Education, vol. 16, no. 2, pp. 155–181, 2012, doi:10.1080/13613324.2011.645567
the above specifications. Hopefully, a stream of projects cancontinue to be generated. AcknowledgementThis material is based upon work supported by the National Science Foundation under Grant No.0336591. 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. References1. Caso, R., Clark, C., Froyd, J.E., Inam, A., Kenimer, A.L., Morgan, J.R., and Rinehart, J., “A Systemic Change Model in Engineering Education and Its Relevance for Women,” Proceedings, 2002 American Society of Engineering Education Conference and
Letter, Spring 20059. http://journaltool.asme.org/Content/AuthorResources.cfm10. ASME Writing Guide for Baylor University – (Student handout developed for EGR 4335, Mechanical Engineering Laboratory.)KEN VAN TREURENKen Van Treuren is an Associate Professor in the Department of Engineering at Baylor University. Hereceived his B. S. in Aeronautical Engineering from the USAF Academy and his M. S. in Engineering fromPrinceton University. He completed his DPhil in Engineering Sciences at the University of Oxford, UK. AtBaylor he teaches courses in laboratory techniques, fluid mechanics, energy systems, propulsion, andfreshman engineering. Proceedings of the 2005 ASEE Gulf-Southwest Annual Conference
project has proven that designing, creating, and printing 3D molds using the TinkerCAD softwareand 3D printers is feasible. The new push system design will eliminate the granule removal issue seenin Prototype 2. The future goal is to scale up the current Prototype 3 design to produce more tabletswith a single mold. By creating the ideal prototype, the creation of tablets made from non-syntheticexcipients will be achieved and potentially allow tailoring of a new and effective drug formulations. References 1. Byrn, S., Futran, M., Thomas, H., Jayjock, E., Maron, N., Meyer, R.F., Myerson, A.S., Thien, M.P., and Trout, B.L. (2015). Achieving continuous manufacturing for final dosage formation
for all pins is identified, the pins can beconfigured as output pins by writing the word value to the GPIO_OUTPUT_EN memory address asshown in the sample code in Figure 2 (Lines 1-3).All of the obtained word values for all of the pins we used are defined in our source code filememorymap.inc as shown in Figure 3. This configuration file is also used to store the base address foraccessing the pins (GPIO_CTRL_ADDRESS), and the offsets used for enabling output(GPIO_OUPTUT_EN) and changing pin state (GPIO_OUTPUT_VAL) which are found in FE310-G002 manual5. This configuration file is included in all of our .S assembly files. 1 li t0, GPIO_CTRL_ADDRESS # Store into t0 GPIO BASE address 2 li t1, GPIO_PINS
interruptions. 8 References 1. Moeini, R., Zare, M. R., & karimian, F. (2021). Reduce repair cost of wastewater pipelines for using trenchless and open cut technology. Ain Shams Engineering Journal, 12(1), 423–435. https://doi.org/10.1016/j.asej.2020.04.016 2. Arifin, H. H., Zardasti, L., Lim, K. S., Md. Noor, N., Yahaya, N., Mazlan, A. N., & Mohd. Sam, A. R. (2021). Stress distribution analysis of composite repair with carbon nanotubes reinforced putty for damaged steel pipeline. International Journal of Pressure Vessels and Piping, 194, 104537. https://doi.org/10.1016/j.ijpvp.2021.104537 3. Castiglia, M., Santucci de Magistris
. MethodologyThis project is divided into two main sections, hardware and software. The hardwarediscussion will detail the microcontroller, the development environment and allrequirements necessary to recreate a working model. The software section will brieflyillustrate the Keil C IDE and JavaKit applications as well as the firmware written for themicrocontroller.HardwareThe DS80C400 is a microcontroller with onboard network support. In addition, themicrocontroller has seven bidirectional parallel ports, four counters/timers and threeserial ports with onboard UARTs (3). The instruction execution speed has beendramatically increased with a maximum input clock speed of 75 MHz and the original8051’s 12 clocks-per-instruction cycle has been reduced to four