Paper ID #12041Hex-Oid Habitat Design Challenge: Teaching Engineering Design in a Multi-disciplinary Role-Play ScenarioDr. Robert H. Mayer Jr., U.S. Naval Academy Dr. Mayer is a professor of ocean engineering at the U. S. Naval Academy. He is a past chairman of the Naval Architecture and Ocean Engineering Department and currently teaches courses in ocean engineer- ing design, probability & statistics, and underwater search & recovery operations. His research interests relate to the application of statistics, operations research methods and computers to the management, en- gineering and construction of ocean
to the worlds problems.References [1] CE Blue, LG Blevins, P Carriere, G Gabriele, S Kemnitzer, V Rao, and G Ulsoy. The engineering workforce: Current state, issues, and recommendations: Final report to the assistant director of engineering. National Science Foundation, 2005. [2] G Wayne Clough et al. The engineer of 2020: Visions of engineering in the new century. National Academy of Engineering, Washington, DC, 2004. [3] Catherine Hill, Christianne Corbett, and Andresse St Rose. Why So Few? Women in Science, Technology, Engineering, and Mathematics. ERIC, 2010. [4] Anthony P Carnevale, Nicole Smith, and Michelle Melton. Stem: Science technology engineering mathematics. Georgetown University Center on Education and the
. Gibson, "The New Latino Diaspora and Educational Policy" in Education in the New Latino Diaspora: Policy and the Politics of Identity . Ed. S. Wortham, E.G. Murillo, and E.T. Hamann. Wesport, CT: Ablex Publishing, 2002. [15] J.L. Epstein, "School/Family/Community Partnerships: Caring for the Children we share." Phi Delta Kappan 79 (9): p. 701711. 1995. [16] EQUALS, Family Math and Matematica para la famila . 1992. [17] N. F. Chavkin, and D.L. Gonzalez, Forging partnerships between Mexican American parents and the schools . Charleston, WV: ERIC Clearinghouse on Rural Education and Small Schools. 1995
Paper ID #13724Academic Maker Spaces and Engineering DesignDr. Vincent Wilczynski, Yale University Vincent Wilczynski is the Deputy Dean of the Yale School of Engineering and Applied Science and the James S. Tyler Director of the Yale Center for Engineering Innovation & Design. As the Deputy Dean, he helps plan and implement all academic initiatives at the School. In addition, he manages the School’s teaching and research resources and facilities. As the James S. Tyler Director of the Center for Engineer- ing Innovation & Design he leads the School’s efforts to promote collaboration, creativity, design and
Design,” IEEE Transactions on Control System Technology, vol. 13, no. 4, Jul. 2005.5. D. P. Crismond, and R. S. Adams, “The Informed Design Teaching and Learning Matrix,” Journal of Engineering Education, vol. 101, no. 4, Oct. 2012.6. B. Layng, D. Cain, K. McNulty, R. O’Connor, and T. Estrada (faculty mentor), “Design of an Autonomous, Line Following Pace Car for Athletic Training,” Zone 1 ASEE Confereence, University of Bridgeport, Bridgeport, Connecticut, April 2014.7. J.E. Speich, S. Yingfeng, and K.K. Leang (2008, December). “Low-Cost IR Reflective Sensors for Submicrolevel Position Measurement and Control,” in IEEE/ASME Transactions on Mechatronics, 13, pp. 700-709.8. M. P. Hans, AAAI
project.References1. Sweeney, L. B. & Sterman, J. D. Bathtub dynamics: initial results of a systems thinking inventory. Syst. Dyn. Rev. 16, 249–286 (2000).2. Sweeney, L. B. & Sterman, J. D. Thinking about systems: student and teacher conceptions of natural and social systems. Syst. Dyn. Rev. 23, 285–311 (2007).3. Thompson, P. W. in Learning Mathematics 125–170 (Springer, 1994).4. Lobato, J., Ellis, A. B. & Munoz, R. How ‘Focusing Phenomena’ in the Instructional Environment Support Individual Students’ Generalizations. Math. Think. Learn. 5, 1–36 (2003).5. Flynn, C. D., Davidson, C. I. & Dotger, S. Engineering Student Misconceptions about Rate and Accumulation Processes. ASEE Zone I Conference Proceedings (2014). at 6. Gray, G. L. et
program can have a majorexperience both on design and research, under this context, in their fifth year they have project-based courses with the proposal, execution and reporting phases being nominally divided up intothe two semesters. A member of the ME faculty is assigned as advisor and often the projectresults in a bachelor thesis, several of this projects have also resulted in journal publicationsand/or patent applications. We are strongly promoting this option, since it greatly benefits thestudents and allows us to detect talents to pursue graduate studies.Accreditation: Engineering programs accreditation agencies in Mexico started in the middle1990´s. Our ME program was accredited by the Mexican Council CACEI in 2007 and re-accredited in
in engineering. These institutions may need to have moderate expectations relativeto retention, but could expect other valuable outcomes for their women students.1. Marra, R. M., & Bogue, B. (2006). Women Engineering Students' Self Efficacy--A Longitudinal Multi- Institution Study. Women in Engineering ProActive Network.2. Tsui, Lisa. "Effective strategies to increase diversity in STEM fields: A review of the research literature." The Journal of Negro Education (2007): 555-581.3. Goodman, I. F. (2002). Final Report of the Women's Experiences in College Engineering (WECE) Project. Online Submission.4. Bottomley, L. J., Rajala, S., & Porter, R. (1999, November). Women in engineering at North Carolina
engineers ranked project management with 5’s strongly agreeing PSO 5b Page 26.678.16was addressed satisfactorily.Students’ questionnaire responsesResults from the open-ended responses from student questionnaires highlighted what studentsperceived as strengths and areas for improvement before and after completion of the firstsemester design course. Students perceived their strengths prior to completion of the designcourse to include knowledge of water/wastewater treatment technologies enhanced anddeveloped through the MEnvE curriculum. Select students also viewed soft skills such ascommunication and time management as strengths. Areas for improvement
assistance in the development of the SVT digital curriculum, datacollection, and for serving as teaching assistants during the course; Monica A. Sweet, Ph.D. forguidance with assessment; Christine Alvarado. Ph.D. for guidance with App development;Jessica Block, Deborah Forster Ph.D, Jurgen Schultz Ph.D., and Philip Weber (QualcommInstitute) for getting the software and project off the ground; Sheryl Sorby and Cengage LearningInc. and for use of exercises from their workbook; and the Qualcomm Institute at UC San Diego,the Academic Senate at UC San Diego, and Engaging Students in Engineering (ENGAGE) fortheir financial support for the development of the Spatial Visualization Trainer (SVT) andcorresponding studies.References:[1] Sorby, S. A. (2009
Paper ID #11809Revitalizing an Electromechanical Energy Conversion CourseThomas E McDermott P.E., University of Pittsburgh Thomas E. McDermott is an Assistant Professor at the University of Pittsburgh, with over 30 years of industrial experience in consulting and software development. His research interests include electric power distribution systems, renewable energy, power electronics, electromagnetics, and circuit simulation. Tom is a registered professional engineer in Pennsylvania and an IEEE Fellow. He has a B. S. and M. Eng. in Electric Power from Rensselaer, and a Ph.D. in Electrical Engineering from Virginia
University. His scholarly interests span computing education research, information technology for teaching and learning, and software engineering. Prior to coming to Drexel, Dr. Hislop spent eighteen years working in government and industry where his efforts included software development and support, technology planning and evaluation, and development and delivery of technical education.Dr. Sarah Monisha Pulimood, The College of New Jersey S. Monisha Pulimood is on the faculty of the Department of Computer Science at The College of New Jersey. She has been successfully incorporating immersive learning experiences and multidisciplinary collaborative projects into her courses for several years; has published on undergraduate
During Class After Class Preparation activity: Short lecture Finish application Reading, video, or assignments, open lab problem(s) Activities Prepare for next class Evaluation: online quiz Application or turned in solution assignments or labMethodsThis study was conducted under Institutional Review Board exempt protocol #2013E0570 inaccordance with the Office of Responsible Research Practices.We have collected data through online surveys and daily preparatory work quizzes given via theonline
ITEEA representative, and local employers. The college is responsible for providing theoverall coordination between the college, CCBC, ITEEA and the local LEA(s), and for arrangingand providing facilities for the trainer, teacher, and counselor training. Together the college andLEA will 1) conduct a crosswalk between the college’s Introduction to Engineering Technologyor similar class and the EbD curriculum to identify topics missing from ADA and EngD; 2)identify writers and trainers for ADA and EngD to create missing material and to becomecertified ITEEA trainers to conduct PD for local teachers; 3) work with ITEEA to oversee thecreation and piloting of new materials (if required); 4) create an articulation agreement for theIntroduction to
the world, and the use ofonline educational resources, amongst several others. Their corresponding benefits in terms ofsolving the large scale real world problems are also highlighted.References 1. Marjoram T., Engineering shortage a threat to development, underlines UNESCO’s first global report on engineering. Basic and Engineering Sciences, Natural Sciences, UNESCO Press, France, October 2010. 2. Morell L., Borri C., Rajala S. A. et al, IFEES: Enhancing Engineering Education at a Global Scale. Revista de Ensino de Engenharia (ABENGE), Vol. 27 N. 3, ISSN 0101-5001, 2008. 3. Kulacki F. A., and Krueger E .R., Trends in Engineering Education-An International Perspective. http://www.ineer.org/Events/ICEE1998/Icee/papers
Higher Education, 5(3),203-221.6 Rochin, R., & Mello, S. (2007). Latinos in science: Trends and opportunities. Journal of Hispanic HigherEducation, 6(4), 305–355.7 Stevens, R., O'Connor, K., Garrison, L., Jocuns, A., & Amos, D. M. (2008). Becoming an engineer: Toward athree dimensional view of engineering learning. Journal of Engineering Education, 97(3), 355-368.8 Stevens, R. O’Connor, K., & Garrison, L. (2005). Engineering student identities in the navigation of theundergraduate curriculum. In Proceedings of the 2005 American Society for Engineering Education AnnualConference. Portland, OR: ASEE.9 Aschbacher, P. R., Li, E., & Roth, E. J. (2010). Is science me? High school students’ identities, participation, andaspirations in
Society for Engineering Education, 2008.3. Brown C., Johnson M., Lax J., “Educational Classroom Technology: What Works Best in the Engineering Context”, 2007, 37th ASEE/IEEE Frontiers in Education Conference, Session S4J.4. Grady, H., and Codone, S., " From chalkboard to PowerPoint to the web: A continuum of technology," 2004 International Professional Communication Conference, pp. 217-222.5. Colegrove, Patrick. "Making It Real: 3D Printing as a Library Service." Why IT Matters to Higher Education: EDUCASE Review. EDUCASE, 27 Oct. 2014. Web. 18 Mar. 2016. .6. Johnson, L., Adams Becker, S., Cummins, M., Estrada, V., Freeman, A., and Ludgate, H. (2013). NMC Horizon Report: 2013 Higher
department’s role inpreparing physics teachers: The Colorado learning assistant model." American Journal ofPhysics 78.11 (2010): 1218-1224. 2 Reckinger, S. M, Reckinger, S. J., “An Interactive Programming Course Model for MechanicalEngineering Students”, Proceedings of the American Society of Engineering Education AnnualConference, Indianapolis, IN, June 15-18, 2014. URL:http://www.asee.org
tr e S d o M Preference Figure 3: Distribution of the learning styles for female students in ENGG 349.same as the male students. However, the data suggests that 10% more of the males are active andvisual learners than are the females. In a comparative study of engineering students, a verysimilar trend in the differences in learning styles between male and female
- Predictor Variables Model 4: Overall Satisfaction in the Classroom (y) Predictor Predictor Description x Instructor Interaction and Feedback t Classroom Environment z Modes of InstructionOrdinal Logistic Regression as a Modeling TechniqueOrdinal logistic regression models are a specific extension of multiple regression models, whichuse many predictor variables that have an effect on the dependent variable. These models areused to explain an ordinal dependent variable given one or more independent variable(s).25Specifically, this model was chosen because the
reflect the views of the National ScienceFoundation.References1. Swail, W.S., Redd, K.E., & Perna, L.W. (2003). Retaining minority students in higher education: A framework for success. ASHE-ERIC Higher Education Report, Adrianna J. Kezar, Series Editor, 30, 2. San Francisco, CA: Jossey-Bass.2. Bairaktarova, D., Reyes, M., Nassr, N., & Carlton D.T. (2015). “Spatial Skills Development of Engineering Students: Identifying Instructional Tools to Incorporate into Existing Curricula,” Proceedings of the 2015 American Society for Engineering Education Annual Conference & Exposition, Seattle, WA, June 14-17, 2015. USA: American Society of Engineering Education.3. Metz, S., Sorby, S., Reap, J., Berry, T., &
of the 3D printing model via a website using webcams. In addition,students should be able to print their own design using standard or alternative plastic materials withspecific attributes such as flexibility, transparency, electrical conductivity or any other material thatis compatible with the printer. Of utmost importance, this model has to be able to be escalated to acampus-wide system to allow access to the entire student body.IntroductionThe earliest 3D printing technology was developed in the late 1980’s and was referred to as rapidprototyping technology. The idea of rapid prototyping came to be from the need for quicker andcost-efficient design testing for product development within the manufacturing industry. It wasn’tuntil 2009
, Susan; Wiens, Gloria J.; Kazerounian, Kazem; Allen, Janet Katherine; and Jacobson, Kathy. Broadening Participation: A Report on a Series of Workshops Aimed at Building Community and Increasing the Number of Women and Minorities in Engineering Design, .Mechanical Engineering Conference Presentations, Papers, and Proceedings 2013, Paper 11.3. Williams, W. M. & Ceci, S. J. National hiring experiments reveal 2:1 faculty preference for women on STEM tenure track. Proceedings of the National Academy of Sciences 112, 5360-5365, doi:10.1073/pnas.1418878112 (2015).4. Hager, M. A., Engagement Motivations in Professional Associations. Non-Profit and Voluntary Sector Quarterly, Vol 43 (2S), Pg. 39S-60S (2013).5. Parker, M., Welch
. The non-profit team providedgrant management and oversight for the colleges’ funded STEM programs, requiring quarterlyreporting of their financial expenditures and budget balances, progress against their proposedtimelines, and narratives describing program status, outcomes, and challenges. The SFAz PIresponded to these reports with emails, phone calls and site visits when appropriate, providingongoing support and guidance to the college PIs to ensure their program’s success.STEM Metrics Development ApproachFrom its onset, the SFAz+8 program was designed to generate evidence to validate achievementof the program goals. Objectivity was ensured through the use of an external evaluator. Eachprogram goal had associated measurable outcome(s) and
carrying out a nearest-neighbor decision rule. The metric vector is a subset of 2 componentsof the normalized spectral energy vector E x ⁄ E s with E x components given by f(k + 1) 2 Ex ( k ) = f ( k ) X ( f ) df (1)where k = 1, 2, 3, 4, 5, 6 . The integral limits are defined by the frequency band vector f = [ 501, 708, 1000, 1413, 1995, 2818, 3981 ] (2)which defines f ( 1 ) through f ( 7 ) . The energy
. Shirley Ann Jackson [4] noted that “[s]ince that time, there has beencontinuing concern that engineering education does not sufficiently incorporate liberal studies…As engineering and the technological revolution continue to transform our world, we must assurethat those who steer these changes understand the totality of the human condition, and that bringsus back to the liberal arts.” The chorus of calls for change has included soul-searching reportssuch as that by Grinter (1955) [5], which was soon overwhelmed by the urgency of Sputnik andthe Space Race insisting on the primacy of purely technical competence, and Olmsted [6].Olmsted’s 1968 ASEE Report Liberal Learning for the Engineer praised a few exemplarystudent-driven, socially
Smith from the Lerner College of Business and Economics forpartnering with us on this exciting project and for instructing the UD ADVANCE Women’s LeadershipProgram.References[1] ACE, “Pipelines, Pathways, and Institutional Leadership: An Update on the Status of Women in Higher Education,” American Council on Education, 2017. Available: https://www.acenet.edu/news- room/Documents/Higher-Ed-Spotlight-Pipelines-Pathways-and-Institutional-Leadership-Status-of- Women.pdf. [Accessed 29 November, 2018].[2] C. Bilen-Green, K. Froelich, S. Jacobson, “The Prevalence of Women in Academic Leadership Positions, and Potential Impact on Prevalence of Women in the Professorial Ranks,” WEPAN Conference Proceedings, 2008.[3] C. Bilen-Green
Transnational Education: From the Perspective of Administrators and Students," British Council, 2017.[2] J. K. Y. C. Cedrick Kwuimy, "A first time flipped classroom experience: Measure of outcomes and challenges," in ASEE Proceedings, Southeast Section Conference, Columbus, Ohio, 2017.[3] S. H. P. B. L. D. G. Z. J. Jeongkyu Lee, "Toward Success of Collaborative Program In School of Engineering Between the US and China," in ASEE International Forum, New Orleans, LA, 2016.[4] S. I. Segalewitz, "Seven Years of Success in Implementation of a 3 + 1 Transfer Program in Engineering Technology Between Universities in China and the Unites States," in 120th ASEE Annual Conference & Exposition, Atlanta, GA, 2013
- Cost Brain Computer Interface TechnologiesAbstract:Advancing an interest and literacy in Science Technology Engineering and Mathematics (STEM)fields in high school students through summer and after school programs has been widelypopular since the 1990’s, and these programs are effective at improving retention and persistenceafter graduation. However, there still remains a lack of designing programs to increase interestand literacy of biomedical engineering (BME) related applications that are scalable at otherinstitutions. This is typically due to the challenges of providing costly resources that areavailable only in specific laboratory settings and require graduate level expertise to operate. Toprovide a low-cost and scalable approach to