, 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
. Goldsmith, R. P. Mihail, ‘Kinesthetic Touches For a Theory of Computing Class’, Int’lConf. Frontiers in Education: CS and CE, 2016.[3] P. A. G. Sivilotti, S. M. Pike, ‘The Suitability of Kinesthetic Learning Activities for TeachingDistributed Algorithms’, ACM Special Interest Group Computer Science Education, 2007.[4] S. Asgari, J. Trajkovic, M. Rahmani, W. Zhang, R. C. Lo, A. Sciortino, ‘An observationalstudy of engineering online education during the COVID-19 pandemic’, PLOS ONE, 2021.[5] Croft, David, and Matthew England. "Computing with CodeRunner at Coventry University:Automated summative assessment of Python and C++ code." Proceedings of the 4th Conferenceon Computing Education Practice 2020. 2020.[6] Michele DiPietro, Susan A. Ambrose
inBiomechatronics and used to enhance student learning. Future work should focus on a morerobust assessment of how the PBL approach enhanced learning of course learning outcomes andoverall student satisfaction with the course structure. A more thorough assessment wouldprovide valuable guidance to others looking to replicate the teaching approach in othermultidisciplinary courses. Furthermore, refinement of the existing activities or the addition ofmore activities could likely further improve the course and associated learning outcomes.References[1] M. B. Popovic, "Biomechatronics," 2019.[2] J. Segil, "Handbook of biomechatronics," ed, 2019.[3] S. Xie, W. Meng, and SpringerLink (Online service). Biomechatronics in Medical Rehabilitation
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
Borders and Technologies: Advancements in Virtual Teams Research,” Jul. 01, 2012. [2] N. A. Ebrahim, S. Ahmed, and Z. Taha, “Virtual Teams: a Literature Review,” p. 222818 Bytes, 2014, doi: 10.6084/M9.FIGSHARE.1067906. [3] Y. Zhang, M. Gregory, and Y. Shi, “Global engineering networks (GEN): Drivers, evolution, configuration, performance and key patterns,” Journal of Manufacturing Technology Management, vol. 19, no. 3, pp. 299–314, Jan. 2008, doi: 10.1108/17410380810853740. [4] “The Massive and Rapid Shift to Remote Work and Virtual Leadership - i4cp,” Institute for Corporate Productivity (i4cp). https://www.i4cp.com/coronavirus/the- massive-and-rapid-shift-to-remote-work-and-virtual
. Egyptian Informatics Journal, 20(3):193 – 204, 2019. ISSN 1110-8665. doi: https://doi.org/10.1016/j.eij.2019.05.001. URL http://www.sciencedirect.com/science/article/pii/S1110866518302603. [9] Visualize code execution learn python, java, c, c , javascript, and ruby. URL http://www.pythontutor.com/.[10] Raghvinder S. Sangwan, James F. Korsh, and Paul S. Lafollette. A system for program visualization in the classroom. ACM SIGCSE Bulletin, 30(1):272–276, 1998. doi: 10.1145/274790.274311.[11] Nouf M. Al-Barakati and Arwa Y. Al-Aama. The effect of visualizing roles of variables on student performance in an introductory programming course. ACM SIGCSE Bulletin, 41(3):228, 2009. doi: 10.1145/1595496.1562949.[12] Zhang Jinghua
from populationsunderrepresented in engineering. In the 1990’s UC San Diego had a Minority EngineeringProgram that provided community and mentorship to underrepresented students. The NationalSociety of Black Engineers (NSBE), Society of Hispanic Professional Engineers (SHPE), andSociety of Women Engineers (SWE) were also longtime, active chapters at UC San Diego. Inaddition, multiple diversity and inclusion initiatives began to develop across campus within afew years of the IDEA Center, including the establishment of the Office of the Vice Chancellorfor Equity, Diversity, and Inclusion and the Black Resource Center.4.2 Start-up Stage: Early Activities“An organization that is in the beginning phase of operation.” [1]4.2.1 StrategyThe original
Disabilities in Science and Engineering: 2021,” Alexandria, 2021.[2] I. Villanueva, M. Di Stefano, L. Gelles, K. Youmans, and A. Hunt, “Development and assessment of a vignette survey instrument to identify responses due to hidden curriculum among engineering students and faculty,” Int. J. Eng. Educ., vol. 36, no. 5, pp. 1–21, 2020.[3] S. Nieto, Affirming diversity : the sociopolitical context of multicultural education. Longman, 1992.[4] I. Villanueva, M. Di Stefano, L. Gelles, P. V. Osoria, and S. Benson, “A race re-imaged, intersectional approach to academic mentoring: Exploring the perspectives and responses of womxn in science and engineering research,” Contemp. Educ. Psychol., vol. 59, p. 101786, Oct
) insufficient good Research Quantity of prior research No Little Some Large amount of Potential experience in academic experience experience experience experience (CV) and beyond Quality of prior research No Time spent in a Secondary Peer-reviewed experience in academic experience lab with no author on conference and beyond demonstrated publication(s) presenter, first- outcomes and/or prior author
Education, Jan. 11, 2021. [Online]. Available: https://doi.org/10.1080/07377363.2020.1847968. [Accessed Mar. 5, 2021].[9] D. Blackwood, D. L. Peters, and E. Gross, “Disciplinary Migration of Engineering Master’s Students: Why do Some Students Change their Majors and Others do Not?” in American Society for Engineering Education Annual Conference & Exposition, Tampa, Florida, USA, June 15, 2019.[10] S. Jaggars, “Online learning in community colleges,” In Handbook of distance education, M. G. Moore Ed. New York, NY: Routledge, 2012, pp. 594-608.[11] J. C. Ortagus, “From the periphery to prominence: An examination of the changing profile of online students in American higher education,” The Internet
," Social and Personality Psychology Compass, vol. 13, no. 3, Mar 2019, Art no. e12436, doi: 10.1111/spc3.12436.[2] W. Ng, S. M. Ware, and A. Greenberg, "Activating Diversity and Inclusion: A Blueprint for Museum Educators as Allies and Change Makers," Journal of Museum Education, vol. 42, no. 2, pp. 142-154, 2017, doi: 10.1080/10598650.2017.1306664.[3] M. A. Craig, V. Badaan, and R. M. Brown, "Acting for whom, against what? Group membership and multiple paths to engagement in social change," Current Opinion in Psychology, vol. 35, pp. 41-48, Oct 2020, doi: 10.1016/j.copsyc.2020.03.002.[4] H. R. M. Radke, M. Kutlaca, B. Siem, S. C. Wright, and J. C. Becker, "Beyond Allyship: Motivations
nuance of community cultural wealthdimensions, counterspace processes, and misalignment between assets and institutional policies.The findings below are focused around passages in the data that were coded as both a type ofCCW and either a counterspace process or misalignment.FindingsPreliminary findings from our analysis of interview data align with Margherio et al.’s [6]research highlighting the interplay between CCW and counterspaces. Students who havepersisted in STEM into their Junior or Senior year describe LSAMP as a resource that helpedthem both activate existing forms of capital/cultural resources they possessed entering collegeand develop skills and networks that contributed to continuing success. Further, examination ofchallenges
] National Academy of Engineering, “Engineering technology education in the United States,” Washington, DC: The National Academies Press. 2016.[2] The Integrated Postsecondary Education Data System, (IPEDS), “Data on engineering technology degrees,” Washington, DC, 2014.[3] About Us. National Institute for Certification in Engineering Technologies, Sept 2017. [Online]. Available: https://www.nicet.org/about-us/[4] Strada Education Network (US) Lumina Foundation for Education, “Certified value: when do adults without degrees benefit from earning certificates and certifications?” 2019.[5] O’NET online quick search for engineering technology. O’NET, Feb 2021. [Online]. Available: https://www.onetonline.org/find/result?s=%22engineering