andprofessional accrediting organizations.References[1] AABI (n.d.). What are the Steps to Accreditation? Retrieved from http://www.aabi.aero/accreditation/steps-to-accreditation/[2] ABET (n.d.). Program Eligibility Requirements. Retrieved from https://www.abet.org/accreditation/what-is-accreditation/eligibility-requirements/[3] North, B., & Schneider, G. (1998). Scaling descriptors for language proficiency scales. Language Testing, 15(2), 217-262.[4] Torlakson, T. (2012). Overview of the California English language development standards and proficiency level descriptors. Retrieved from https://www.scoe.org/files/Proficiency_Level_Descriptors.pdf[5] Mott, J. H., Hubbard, S. M., Lu, C-t., Sobieralski, J. B., Gao, Y., Nolan, M. S., &
c Society for Engineering Education, 2021 Compressive Mechanical Properties of Three-Dimensional (3D) Printed Thermoplastics Raymond K.F. Lam, Michael Orozco, Erick Mendieta, Bernard Hunter, and Joseph Seiter Queensborough Community College, The City University of New York, New York, U.S.A._____________________________________________________________________________________________1. Introduction Impact and adoption rate of 3-dimensional (3D) printing in manufacturing will increasedramatically over the next few years. The market for 3D printing technology itself is expected togrow to $5.2 billion by 2020 [1]. One example is General Electric (GE)’s decision to deploy 3Dprinters to manufacture
” (Accessed 7 January 2021) https://www.imperial.ac.uk/news/203613/physics- students-staff-develop-lab-box/[2] M. Larriba, D. Rodríguez-Llorente, A. Cañada-Barcala, E. Sanz-Santos, P. Gutiérrez- Sánchez, G. Pascual-Muñoz, S. Álvarez-Torrellas, V. I. Águeda, J. A. Delgado, J. García, “Lab at home: 3D printed and low-cost experiments for thermal engineering and separation processes in COVID-19 time,” Educ. Chem. Eng., vol. 36, pp. 24-37, Feb. 2021.[3] M. Campbell, A. Duhon, S. Kelone, B. Morein, C. Schexnaider, “Efflux Time and Pipe Variables” (Accessed 7 July 2021) https://www.youtube.com/watch?v=vyJUP3i4fQU&feature=youtu.be[4] A. Gupta, “Height Might - English - 24MB” (Accessed 7 July 2021) https
smallgatherings of socially distanced students, lab courses at Missouri S&T were allowed to be inperson with very small groups. These caps did not accommodate all students in many cases.Thus, other approaches were required. For the Fall, the faculty tried a tight schedule of teamsboth inside and outside of the designated lab time. Social distancing guidelines were maintained,but the faculty and TAs were overworked. Late that semester, the instructor for the ChemicalEngineering Unit Operations (UO) Lab 1 announced that he would be leaving.The responsibility for taking over the lab was handed over to the author. I had taught the UO laba few times at another university, so I was not a complete novice. The equipment at my current
high school GPA,but a marginally lower math ACT/SAT than the ECI 6-week participants. Even with this profile,the ECI 5-day participants outperformed the latter group in two outcomes: change in mathmastery and first math course GPA. The ECI 6-week program did have a slightly higher numberof students who entered into Calculus I based on ALEKS after completing the program.There are tradeoffs for decreasing the number of in-person program days, but the essence of thesafe space was maintained. In the future, it would be valuable to determine if the new model stillaids in underrepresented minority student retention and graduation.References[1] S. Wischusen and E.W. Wischusen, (2019) A One-Week Freshman Boot Camp ThatIncreases Second Year Retention
the types of problems that engineers solve.Some students responded that engineers solved challenging or Complex Problems; for example,engineers “[s]olve complex problems using their knowledge of how things work.” Other studentsdescribed the problems as Everyday Problems or Technical Problems. Both categories includemultiple similar ideas about the types of problems engineers solve for a living. Respectively,“[t]hey solve everyday problems and try to improve on ideas and products that could functionbetter” and “I believe engineers solve scientific problems to make the world better.” Somestudents combined the descriptive subcategories in their responses. These combinations ofmultiple, different descriptions were not very common, but when
G. Okudan, “Integrating Systematic creativity into a first-year engineering design curriculum”, Int. J. Eng. Educ, 22(1), 109-115, 2006.[6]- B. Little, “Who Are You, Really?: The Surprising Puzzle of Personality”, Simon & Schuster, Inc., 2007.[7]- A. E. Poropat, A Meta-Analysis of the Five-Factor Model of Personality and Academic Performance, Psychological Bulletin, 135(2):322-38, 2009.[8]- M. Komarraju, S. J. Karau, R. R. Schmeck, and A. Avdic, “The Big Five personality traits, learning styles, and academic achievement”, Personality and Individual Differences 51(4):472-477, 2011.[9]- M. Schilpzand, D. M. Herold, and C. E. Shalley, “Members' Openness to Experience and Teams' Creative Performance”, Small Group
Conference Knowing an Engineer and Engineering Self-EfficacyHackett, G., & Betz, N. E. (1989). An exploration of the mathematics self-efficacy/mathematicsperformance correspondence. Journal for Research in Mathematics Education, 20, 261-273.Lent, R. W., Brown, S. D., & Larkin, K. C. (1984). Relation of self-efficacy expectations toacademic achievement and persistence. Journal of Counseling Psychology, 31, 356-362.Lent, R. W., Brown, S. D., & Larkin, K. C. (1986). Self-efficacy in the prediction of academicperformance and perceived career options. Journal of Counseling Psychology, 33, 265-269.Lent, R. W., Lopez, F. G., & Bieschke, K. J. (1991). Mathematics self-efficacy: Sources andrelation to
.), Social Problems and Social Contexts in Adolescence: Perspectives Across Boundaries. New York: Aldine De Gruyter, 1996. 11. A.L. Bryant and M.A. Zimmerman. Role models and psychosocial outcomes among african american adolescents. Journal of Adolescent Research, 2003. 12. J. Thomas S. Holmes, A. Redmond and K. High. Girls helping girls: assessing the influences of college student mentors in an afterschool engineering program. Mentoring and Tutoring: Partnership in Learning, 2012. 13. M
suggestions the same for large and small course sizes? These andother topics will be explored as we delve into the new (yet old) environment of online learningduring Covid.BackgroundThroughout the early 2000’s, education over the internet was debated. Some felt it would be atransformative power that would equalize education across time, space, gender, income andnation. Others felt that nothing could take the place of in-person education and anything elsewas inferior. Some universities jumped on the MOOC bandwagon (Massive Open OnlineCourses). Others saw no merit in offering massive courses for little or no credit to multitudes ofpeople for free.There were also many interpretations of online learning throughout the early 2000’s. To thepoint that some
. Burgess, “Sustainability andsuccessful, will be desired at other schools given that development after COVID-19,” Worldthey share our values. Development, Vol 135, no. 105082, The schedule and plan detailed above can be November 2020. [Online] Available:generally applied to a university the same size as ScienceDirect,Rowan, and can be scaled up or down based on a https://sciencedirect.comsciencedirect.com/s 6 cience/article/abs/pii/S0305750X20302084. [Online] Available: The Ecological Society
-ROM.2. Shadaram, M., Sachez-Contreras, L., 2000, “A Plan to Increase Graduate Enrollment at Science, Math, and Engineering Disciplines, “ Proceedings of the ASEE Gulf-Southwest Section Annual Conference, Las Cruces, New Mexico, April 5-8, 2000, Paper 76C1.3. Brian L. Yoder, “Engineering by numbers”, the ASEE Web site at www.asee.org/colleges.4. Coffman-Wolph, S., Gray, K., 2019, “Fun and Interactive Activities for an Introductory Computer Science Course of 200 Students”, Proceedings of the 2018 ASEE Gulf Southwest Section Conference, University of Texas - Austin.5. Rios, O., Fadda, D., 2019, “A Conceptual Mechanism Design Activity for an Introduction to Mechanical Engineering Course”, Proceedings of the 2018 ASEE Gulf Southwest
, the instructor has to go throughthe certification process and earn the educator certificate. Certification program and materials are ona password-protected educational web portal. When the instructor earns the educator certificate, s/hebecomes the administrator of the certification portal. An administrator can register the students andmonitor the progress of the students on each course. The program is a self-paced program that canbe completed by each student on their own. However, four-hour-long weekly meetings werearranged with students as a group, and program materials were studied and completed together infive weeks for better control and efficiency. For the meetings, the university provided Google Meetaccounts were used. This way, the
Engineering Education 910. Hur, B. (2020). Learning Embedded Systems with MSP432 microcontrollers: MSP432 with Code Composer Studio (1st ed., Vol. 1). Independently Published.11. Hur, B. (2020). Learning Embedded Systems with MSP432 microcontrollers: MSP432 with Code Composer Studio (1st ed., Vol. 2). Independently Published.12. Hur, B. (2020). Learning Embedded Systems with MSP432 microcontrollers: MSP432 with Code Composer Studio (2nd ed.). Independently Published.13. Chan, L. M., Intner, S. S., & Weihs, J. (2016). Guide to the Library of Congress classification. ABC-CLIO.14. National Instruments. (n.d.). Introduction to the LabVIEW Application Builder. https://www.ni.com/en
into 80% of the data being trained and the remaining 20% being tested Algorithms and multiple models trained (Naive Bayes, Random Forest, Decision Tree, KNN) Predicating and accuracy comparation of Naive Bayes, Random Forest, Decision Tree, KNNC. ResultIt is difficult to know in advanced which machine learning model(s) will perform better for a givendataset. After testing the four algorithms, the accuracy score of each is indicated in Table 2 to showwhich algorithm has the highest accuracy (highlighted green) and the lowest accuracy (highlightedorange). Overall, after testing out four different supervised machine learning algorithms, therandom forest algorithm was the most accurate in determining the activity event of adolescentsbased on their
term benefits for the computer engineering field.Acknowledgements Sea Islands Institute – Funding for our work has been provided from the Sea Islands Institute. The teachers and administrations at The Children Center – Time and resources invested by our community partner into the project. Bibliography[1] "The Children's Center: About Us," 2/2, 2020; https://thechildrenscentersc.org/aboutus/.[2] "Standard Industrial Classification (SIC) Manual," O. S. a. H. A. United States Department of Labor, ed.[3] J. Semega, M. Kollar, E. A. Shrider, and J. Creamer, Income and Poverty in the United States: 2019, P60-270, United States Census Bureau, U.S. Government Publishing
. References 1. Harold Smith, P. K. Bhattacharya and M. Dubey, “Lead Diffusion in NMOS-IGFETS due to hybridization of PZT Sensors,”6th Annual DOE- EPSCoR Conference, Baton Rouge, Louisiana, November 2002. 2. Ellen Fussell, “How important is an MBA to an engineer?” http://www.isa.org/intech, January 2003, p.48. 3. L. E. Savage, A. Jefferson, M. Klopf, and P. K. Bhattacharya, “Design and fabrication of Thin Film Micro-sensors for Corrosion studies using - Center for Advanced Microstructures and Devices (CAMD),” Proc. ASEE/ GSW-1996 Annual Conference, New Orleans, Louisiana, March 23-25, 1998, p 109. 4. F. Zhao, Y. Zhang, J.Z.Z. Shi, B. Bihari, E. Frietman, X.D. J. Qiao and Z. S. Ray. T. Chen, Opt. Eng. 42(1
fluctuations withreasonable and tractable models of performance. In the two-phase flow experiments, it isnecessary to consider the fluctuations as random. As a tool to carry out the procedure, acomputer-aided system (CAS) presented in Figure 1 and 3 is developed, which consists of thefollowing components. 1.AT-MIO-16E-2 data acquisition (DAQ) board (E series architecture 500kSamples/s, 12-bit, 16 analog input multifunction DAQ, 16 single-ended/8 differential channels, two 12-bit analog outputs, 8 digital I/O channels). 2. CB-68LP I/O Connector, having dimension 7.62 by 16.19cm equipped with 68 screw terminals for easily connecting 68-pin DAQ devices, has a vertical mounted 68-pin connector, which includes one 68-pin
The University of Texas at Arlington Copyright 2003, American Society for Engineering EducationIn the field of mechanics education, which tend to offer relatively hard classes such as statics,dynamics, and strength/mechanics of materials. PBL is not the only method to enhance students’learning. Indeed, educators have experimented with novel approaches (mostly computer-based)to try to do just that5,6,7,8. However, as mentioned above, PBL is generally considered a morerigorous approach that is proven to enforce concept learning in students. In mechanics courses,this is usually done by assigning design project(s) to groups of students9,10. Such design projectsare by definition open-ended and have no unique answer or
failure. If the structure does fail, how hurtfulwill that failure be? In many situations the actual calculations of the probability offailure and severity of failure may be rather difficult.It is possible to plot the severity of failure versus the probability of failure. Everyengineering design, can, in theory, be put on this figure. An example of this isshown below in Figure 1. The letters a, b, c, and d refer to specific locations inQuadrants 1-4. S Quadrant 1 Quadrant 2 e a v e b r i t y Quadrant 3 Quadrant 4 c
References1. Z. Ye, H. Majlesein, P. Bhattacharya and H. Mohamadian, "Exploring Multi-Objective Optimization to Enhance Sensor Integration Technology for Course Instruction and Laboratory Development", Proceedings of the 2006 ASEE Gulf Southwest Annual Conference, March 15-17, 2006, Baton Rouge, USA2. Jurado, Francisco; Castro, Manuel; “Experiences with fuzzy logic and neural networks in a control course”, IEEE Transactions on Education, v 45, n 2, May, 2002, p 161-1673. Yurkovich, S., Passino, K.M., “A laboratory course on fuzzy control”, IEEE Transactions on Education, v 42, n 1, Feb. 1999, p 15-214. M. Teixeira, E. Assunção, and M. Covacic, "Proportional Controllers: Direct Method for Stability Analysis and MATLAB Implementation", IEEE
of individual projects, collective exchange is theobjective; Do not expect quick results, since changing culture is always a difficult step thanthinking or pursuing. References 1. Pulham, C. R. “Is engaging with the public optional?”, Materials Today, Elsevier Pub., Vol. 10, No. 12, Dec.2007. 2. Ball, D.W. Spectroscopy, Vol. 22, No.12, Dec. 2007. 3. Vallero, D. A. Biomedical Ethics for Engineers, Academic Press, p.89, 2007. 4. Huband, F. L. “Wind and Water”, ASEE Prism, Vol.14, No. 3, November 2004. 5. Baura, G. D. “Engineering Ethics: An Industrial Perspective,” Elsevier, p.7, 2006. 6. Mehta, S and Danielson, S. “Enhancing Student Learning: Focus on Engineering
Heating and Cooling (SHAC) Simulation Programs: Assessment and Evaluation – Summary Report,” May 19815. Goswami, D.Y.; “Present Status of Solar Energy Education,” Proc. 2001 ASEE Annual Conf. and Exposition, Session 14336. Haberl, J.S.; Cho, S.; “Literature Review of Uncertainty of Analysis Methods (F-Chart Program),” Energy Systems Laboratory report ESL-TR-08/08-04, Texas A&M University7. Hodge, B.K.; “Alternate Energy Systems – A New Elective?” Proc. ASEE Annual Conference & Exposition, 2002, Session 25668. Kalogirou, S.; Papamarcou, C.; “Simple Validation Method of a TRNSYS Model for a Thermosyphon Solar Water Heating System,” Proc. 10th Mediterranean Electrotechnical Conference (MELCON 2000), vol
toEngineering,” Proceedings of 2005 ASEE Annual Conference & Exposition, Portland, Oregon, June 2005.Rousche, P., et al.. “A Bioengineering Summer Day Camp for High-School Science Students and Teachers,”Proceedings of 2006 ASEE Annual Conference & Exposition, Honolulu, Hawaii, June 2006. Proceedings of the 2009 ASEE Gulf-Southwest Annual Conference Baylor University Copyright © 2009, American Society for Engineering EducationKuyath, S., Murphy, D. I., and Sharere, D., "Summer Camps in Engineering Technology," Proceedings of 2005ASEE Annual Conference & Exposition, Portland, Oregon, June 2005.Clark, J. V., “Minorities in Science and Mathematics: A
. Erlandson, S. Magzamen, E. Carter, J. L. Sharp, S. J. Reynolds, and J. W. Schaeffer, “Characterization of Indoor Air Quality on a College Campus: A Pilot Study,” International Journal of Environmental Research and Public Health, vol. 16, no. 15, Aug. 2019, doi: 10.3390/ijerph16152721.[3] M. Alavy and J. A. Siegel, “IAQ and energy implications of high efficiency filters in residential buildings: A review (RP-1649),” Science and Technology for the Built Environment, vol. 25, no. 3, pp. 261–271, Jan. 2019, doi: 10.1080/23744731.2018.1526012.[4] R. A. Wood, M. D. Burchett, R. Alquezar, R. L. Orwell, J. Tarran, and F. Torpy, “The Potted-Plant Microcosm Substantially Reduces Indoor Air VOC Pollution: I
reports on the types of projects that first-year engineering students self-selectedduring the planning stage of a creative design project using a campus maker space. It examinesthe appropriateness of plan development and scoping, and finds that the assignment resulted inproperly scoped and achievable plans. These results will be of interest to educators teachingdesign and project planning to first-year students, and to those interested in developingself-selected creative projects. They may also be of interest to managers of maker spacesdedicated to those students by indicating popular material and tool choices in self-selectedprojects.References[1] M. Z. Lagoudas, J. E. Froyd, J. L. Wilson, P. S. Hamilton, R. Boehm, and P. Enjeti, “Assessing
pathway for senior projectselection for students pursuing this are of specialization and not only.References [1] Howe, S., Rosenbauer, L., & Poulos, S. (2017). The 2015 capstone design survey results:current practices and changes over time. International Journal of Engineering Education, 33(5),1393.[2] Dutson, A. J., Todd, R. H., Magleby, S. P., & Sorensen, C. D. (1997). A review of literatureon teaching engineering design through project‐oriented capstone courses. Journal ofEngineering Education, 86(1), 17-28. [3] Savage, R., Chen, K., & Vanasupa, L. (2008). Integrating project-based learning throughoutthe undergraduate engineering curriculum. Journal of STEM Education, 8(3).[4] Stone, W. L., & Hugh Jack, P. E. (2017). Project
both? 3) When an engineering code of ethics or a theoretical framework was used, which one(s) specifically?The main goal in this study was to ascertain what—if any—quantitative impact using the first(Approach 1) versus the second (Approach 2) pedagogical approaches to teaching ethics in thecourse had on student papers.In this section, the authors address two main questions: 1. Under which approach (1 or 2) were students more likely to incorporate the following resources into their end-of-semester research papers? a.) At least one of the six ethical theoretical frameworks discussed in class b.) At least one professional engineering organization’s code of ethics 2. Based on Question 1, for students who
alsoincreases. Equation 7 is the strain gauge model developed in this paper. This model shows therelationship between voltage and strain and is only applicable to elastic range. 𝑆 = 0.0099𝑉 − 0.0023 (7)Where ‘S’ is strain and ‘V’ is voltage. Voltage and Strain Relationship 0.00450 0.00400 0.00350 0.00300 Strain 0.00250 0.00200 0.00150 0.00100 0.00050 0.00000 0.25 0.3 0.35 0.4 0.45 0.5 0.55 0.6 0.65
implementation of the course and accentuated diverse skills and understandingsin our lectures, discussions, and course assignments. Quantitative and qualitative measures ofour students’ perception of their interdisciplinary understanding of climate change before and atthe end of the course suggest that our efforts were successful (Tables 3 and 4). Multidisciplinary teaching is known to be effective.9,10 We hope that our apparentsuccess with our multidisciplinary course provides an example that can be emulated by othersinterested in new models for teaching climate change and other highly complex subjects.WORKS CITED (1) Lemos, M. C.; Klenk, N.; Kirchhoff, C. J.; Morrison, T.; Bremer, S.; Fischer, A. P.; Bruno Soares, M.; Torres