Paper ID #41002MTSU’s Experimental Vehicle Program’s Outreach Events with an Empha-sison RecruitmentDr. Saeed D. Foroudastan, Middle Tennessee State University Dr. Saeed Foroudastan is the Associate Dean for the College of Basic and Applied Sciences (CBAS). The CBAS oversees 10 departments at Middle Tennessee State University. He is the professor of engi- neering. He is also the current Director for the Masters of Science in Professional Science. Foroudastan’ s academic experience includes teaching at Tennessee Technological University and Middle Tennessee State University in the areas of civil engineering, mechanical
future careers. The assessment regarding the effectiveness of the selected software tools andmethods used in the described course for solving engineering problems can be conducted througha student survey at the next opportunity when the author is assigned to teach the course.Fig. 8 Mathcad Results for the Analyzed Plane Truss ExampleFig. 9 Mathcad Results for the Analyzed Plane Truss Example (Cont.)References1. Navaee, S., “Utilization of EXCEL in Solving Structural Analysis Problems,” Proceedings of the 2003 ASEE Annual Confer- ence & Exposition, Nashville, TN, June 22-25, 2003.2. Navaee, S. & Das, N., “Utilization of MATLAB in Structural Analysis,” Proceedings of the 2002 ASEE Annual Conference & Exposition, Montreal, Canada
civil engineering design. Next the teams present the results oftheir stakeholder assessments in a VIC pitch presentation that describes the design stakeholders,the analysis the teams conducted, and how the VIC will create maximum impact for the project’sstakeholder(s). 3 Proceedings of the 2024 ASEE North Central Section Conference Copyright © 2024, American Society for Engineering Education Fall Semester Spring Semester CVE 4001 Concrete Design 4 Credits Team – 1 Student CVE 4002 Structural Steel Design 4 Credits
. [5] Craps, S., et al. (2021). "Different roles, different demands. A competency-based professional roles model for early career engineers, validated in industry and higher education." European Journal of Engineering Education 47(1): 144-163. [6] Mohan, A., et al. (2010). "Professional Skills in the Engineering Curriculum." IEEE Transactions on Education 53(4): 562-571. [7] Cruz, M. L., et al. (2020). "Evaluation of competency methods in engineering education: a systematic review." European Journal of Engineering Education 45(5): 729-757. [8] Skrzypek, C., et al. (2019). "Mentoring Connections: Implementing a Student–Alumni Mentor Program in Social Work." Journal of Social Work Education 55(3): 449-459
how both of these models can be used to study the cardiovascularsystem.Typical data from a student group is shown in the following tables and figures. Comparison of velocities Unblocked Blocked 1200 1000 800 Velocity µm/s 600 400 200 0 -200 1 2 3 4 5 6 7 8 9 10 11 Channel # -400Figure 2: Bar graph of bead velocities before and after blocking Channel 3.Figure 2 shows a bar graph of bead velocities in each channel before and after blockage inChannel 3
frustration, data was not specifically collected oranalyzed to evaluate if and how much team members contribute to individual student stressors.Neither the project stressors nor team dynamics were generally unique between the years beforeor during the collection of student feedback via the check-in. Both years experienced stressors ofproject and/or team member dynamics as is typical with the storming phase [5] of projectmanagement. However, future work would benefit from asking a follow-up question about whystudents rated themselves in the “Bad” and “School” quadrants and performing a qualitativeanalysis on the responses.More fundamentally, the tool is not designed to influence the student(s) directly, but rather it givesthe instructor information
, accessed 3 January 2013.2. ASCE (2008) Civil Engineering Body of Knowledge for the 21st Century, 2nd Edition, ASCE, Reston, VA, 181 p.3. TCAP3 (2003) “ASCE’s Raise the Bar Initiative: Master Plan for Implementation,” Proceedings of the 2003 ASEE Annual Conference and Exposition, Nashville, TN, June 22-25.4. Nelson, J.D., Phillips, M.L., Musselman, C.N., and Conzett, M.J. (2012) “The Raise the Bar Initiative: Charting the Future by Understanding the Path to the Present – Modifying the Model Laws and Rules for Engineering Licensure,” Proceedings of the 2012 ASEE Annual Conference and Exposition, San Antonio, TX, June 10-13.5. Ressler, S. (2012) “The Raise the Bar Initiative: Charting the Future by Understanding the Path to the Present
namingpotential contradictions in our inherently messy world of cultural, social andorganizational complexity. While CHAT cannot develop universally correct solutions,by identifying common problems CHAT can mitigate some of the stress resulting fromambiguity and encourage a mutual exchange of strategies and techniques to rein in suchcomplexity. CHAT-based research may not solve managerial concerns outright but canprovide a foundation for dialogue and purposeful discussion of common concerns.References[1] ABET - Criteria for Accrediting Applied Science Programs, 2012 - 2013: 2011. http://abet.org/asac-criteria-2012-2013/. Accessed: 2011-12.[2] Albanese, M.A. and Mitchell, S. 1993. Problem-based Learning: A Review of Literature on Its
size of modules is considerably small for small type ofapplications, this is an advantage, for the projects have space limitations. There are manyresearch attempts to increase efficiency of the TEGs and determine potential applications. Withthe expected development of more efficient TEGs, the number of TEG based applications will beused in most energy projects in the future where low power is required.References[1] The Science of Thermoelectric Materials, “The Seebeck Effect”, Thermoelectric CaltechMaterials Science, Thermoelectrics. Retrieved on January 3, 2014 fromhttp://www.its.caltech.edu/~jsnyder/thermoelectrics/#top[2] G. Jeffrey Snyder and Eric S. Toberer "Complex Thermoelectric Materials" Nature Materials7, 105-114 (2008).[3] CRC
, and the ability to apply varyingsignal frequencies. National Instruments LabVIEW has been utilized to create the GUIs (Figure3) for the system and the individual devices. Table I. Class on a Chip Experiments Device(s) Experiment Principle Concepts TRA* + Gear What is Micro? Microscale measurements TRA* + Gear Gears Gear motion Chevron actuator Micro Motion I: Electrothermal Thermal expansion, microactuators actuators Linear electrostatic actuator Micro Motion II: Electrostatic actuator Coulomb forces TRA* + Gear
Conceptions of Design: Implications for the Design of Learning Environments In C.M. Eastman, W.M. McCracken & W. Newstetter (eds.), Design Learning and Knowing: Cognition in Design Education. New York: Elsevier Press.8. Atman, C. J., Kilgore, D., & McKenna, A. (2008). Characterizing Design Learning: A Mixed-Methods Study of Engineering Designers’ Use of Language. Journal of Engineering Education, 97(3), 309-326.9. Dubberly, H. Innovation Models, Prepared for the Institute for the Creative Process, Alberta College of Art and Design. http://www.dubberly.com. Accessed October 7, 2010.10. Mosborg, S, R Adams, R Kim, C Atman, J Turns & M Cardella (2005). Conceptions of the Engineering Design Process: An Expert Study of
Frontiers in Education Conference, F1B11-15.4. Genheimer, S. R., & Shehob, R. L. (2009). A survey of industry advisory board operation and effectiveness in engineering education. Journal of Engineering Education, 98(2), 169-180.5. Varma, V. (2009). Practitioners as adjunct clinical professors: Their role in teaching real-world engineering applications in design and construction. Proceedings of the 2009 Annual Conference & Exposition, American Society for Engineering Education. Retrieved from http://www.asee.org/search/proceedings6. Colwell, J., Nakayama, S., & Jenks, C. (2008). Improving curriculum with third party standards and industrial advisory boards. Proceedings of the 2009 Annual Conference & Exposition
. Page 24.937.14AcknowledgmentsWe would like to acknowledge Dr. Eric Vance and Jennifer Cheng of Virginia Tech’sLaboratory for Interdisciplinary Statistical Analysis (LISA) lab for their suggestions andadvice regarding the statistical analysis of this research.We would also like to thank Dr. David Knight of Virginia Tech’s Department of EngineeringEducation for his statistical consultations.This material is based upon work supported, in part, by the National Science Foundation,under grant # EEC-1159813. Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect the views ofthe National Science Foundation.References1. National Action Council for Minorities in
. Unpublishedmanuscript in progress, 2010. referenced in http://www.cs.cmu.edu/~CompThink/resources/TheLinkWing.pdf[3] Goadrich, M., Rogers, M., Smart Smartphone Development: IOS Versus Android. Proceedings of the 42nd ACMtechnical Symposium on Computer Science Education, Mar. 2011[4] Kurkovsky, S., Engaging students through mobile game development. Proceedings of the 40th AMC TechnicalSymposium on Computer Science Education March 3-7, 2009, 2009.[5] Papert, S., Mindstorms: children, computers, and powerful ideas, New York, NY: Basic Books, 1980.[6] Reilly, M., Kindergarten coders can program before they can read. New Scientist 2927, 21-22, 2013.[7] Resnick, M. All I Really Need to Know (About Creative Thinking) I Learned (By Studying How Children Learn
and drives academic achievement, Edutopia. Online at http://www.edutopia.org/stw-project-based-learning-best-practices-guide.5. NGSS (2013). Next Generation Science Standards, http://www.nextgenscience.org/next-generation-science- standards.6. Johnson, S. (2010). What the hell is Minecraft and why the hell should you care? Online at http://www.g4tv.com/thefeed/blog/post/707771/what-the-hell-is-minecraft-and-why-the-hell-should-you-care/.7. Minecraft (2013). Online at https://minecraft.net/.8. Heick, T. (2013) 5 Lessons To Learn From Minecraft In Education, TeachThought, Feb. 2, 2013. http://www.teachthought.com/trending/5-lessons-to-learn-from-minecraft-in-education/.9. Richter (2013). XML and HTML with
Page 24.994.7design task. Due to the idiosyncratic nature of students and the nature of the design processvariance across the results presented is comprehensible. Examples of this can be seen in theconceptual frameworks presented below. Student 1’s perception of the stages of designbecame much more balanced in the post task model, with the student placing emphasis on allstages of design and a more equal importance placed on each stage. Comparatively, student12 placed less emphasis on some stages of the design task. Post Post Figure 2: Samples of students’ pre and post models
for accrediting engineering pro- grams. Available at http://www.abet.org/eac-criteria-2014-20152. Atmel Corporation (2010) ATmega16/32U4 datasheet. Available at http://www.atmel.com/images/7766s.pdf3. Audia, P. and Rider, C. (2005) A garage and an idea: what more does an entrepreneur need? California Man- agement Review 48(1), 6-28.4. Beckman, S. and Barry, M. (2007) Innovation as a learning process: Embedding design thinking. California Management Review 50(1), 25-56.5. Carryer, J., Ohline, M. and Kenny, T. (2010) Introduction to mechatronic design. Prentice Hall.6. Gibson, J. (1986) The ecological approach to visual perception. Routledge.7. Lidwell, W., Holden, K., and Butler, J. (2010) Universal Principles of Design: 125 Ways to
Academy of Engineering. (2008). Changing the conversation: Messages for improving public understanding of engineering. Washington, DC: The National Academies Press.6. Tonso, K. L. (2006). Student engineers and engineer identity: Campus engineer identities as figured world. Cultural Studies of Science Education, 1, 237–307.7. Carlone, H. B. (2004). The cultural production of science in reform-based physics: Girls' access, participation, and resistance. Journal of Research in Science Teaching, 41(4), 392-414.8. Carlone, H. B., Johnson, A., & Eisenhart, M. E. (2014). Cultural perspectives in science education. In S. K. Abell & N. Lederman (Eds.). Handbook of research on science education (2nd edition) (pp: 651
researchers and were generated based on experiencewith homework in STEM courses, both from a teaching and a student perspective. The surveywas composed of five main sections:1. General questions about the student’s school, year of study, major, and average number of problem sets assigned per week.2. Positive Homework Course. Questions relating to a homework experience in a STEM course that the student would describe as “positive.” a. Initial questions asked for the name of the course, and the type(s) of homework utilized in the course. The name of the professor was asked, but was optional. b. Then students were asked to rate on a scale from Never, Rarely, Sometimes, Often, to All of the Time, the amount to which they felt
of book and how it is acquired.Figure 6 shows the distribution of acquisition channels for printed textbooks and Figure 7 showsthat distribution for ebooks. Figure 6: How printed books were acquired Page 24.1183.11 Figure 7: How ebooks were acquired.The survey showed that while 72% of printed books were purchased and most of the rest (20%)were rented, the acquisition of ebooks was much more evenly distributed between methods. Itwas pointed out above that none of the Arts & Science students responding to the survey rentedtheir textbook. This is consistent with only six percent of A&S
technology commercialization, including the first technology licenses, faculty start-ups, student patent filings, student start-ups, on campus incubation of start-ups and partner companies, and a Commercialization Council that bridges the gap between university research and the broader technology commercialization community in San Antonio. Mr. Hallam was a recipient of the MIT Course 16 Sixteen award, the SABJ 40 under 40 award, the Richard S. Howe Undergraduate Teaching Excellence award, and currently holds the Jacobson Distinguished Professorship in Innovation and Entrepreneurship at UTSA.Prof. Dorie Jewel GilbertProf. Olivier Wenker MD, The University of Texas MD Anderson Cancer Center Dr. Wenker is a Professor of
of the author and do notnecessarily reflect the views of the National Science Foundation.ReferencesCapobianco, B. M., Diefes-Dux, H. A., & Mena, I. B. (2011). Elementary school teachers' attempts at integrating engineering design: Transformation or assimilation? In Proceedings of the 118th American Society for Engineering Education Annual Conference and Exposition, Vancouver, British Columbia.Charyton, C., Jagacinksi, R. J., Merrill, J. A., Clifton, W., & DeDios, S. (2011). Assessing creativity specific to engineering with the revised creative engineering design assessment. Journal of Engineering Education, 100(4), 778-799.Forbes, C. T. (2011). Preservice elementary teachers’ adaptation of science
pushthrough this.”The UW and WSU STARS faculty and staff want to thank the University of Colorado’sAssociate Dean of Inclusive Excellence Jacquelyn Sullivan and GoldShirt Program DirectorTanya Ennis for their guidance and encouragement during the launch phase of the WashingtonSTARS in Engineering Program.This material is based upon work supported by the National Science Foundation Graduate 10K+STEP Grant under Grant No. 1317246 & 1317349.Bibliography[1] Reardon, S. F. The Widening Academic Achievement Gap Between the Rich and the Poor New Evidence and Possible Explanations, 2011. http://cepa.stanford.edu/content/widening-academic-achievement-gap-between- rich-and-poor-new-evidence-and-possible[2] Strutz, M. L., Orr, M. K., Ohland,. “Low
. M. J. Traum, S. L. Karackatttu, “The Research Incubator: Fast-tracting Undergraduate Engineering Students into Research via Just-in-Time Learning,” ASEE GSW Paper Number 09-33, Proceedings of the 2009 ASEE Gulf-Southwestern Section Annual Conference,Waco, TX, March 18-20,2009.2. Foroudastan, S., “Experimental Vehicles Program Inspires Innovative Projects through Research and Development” 2013 Proceedings of ASEE AC.3. Foroudastan, S., “Mechanical Engineering Education: Not Just about the Math,” 2004 Proceedings of IMECE International Mechanical Engineering Congress, Anaheim, CA, November 13-19.4. Holmes, M. “Brain Sports Find a Place in the Sun.” SWE Summer 2011: 14-16
farms.X- References1- J. Kleissl, Solar Energy Forecasting and Resource Assessment, Elsevier/Academic Press, 2013, USA2- J. Ramos, et al. “UTPA Solar Systems Efficiency, ASEE Annual Conference 20123- http://www.kippzonen.com/?product/18172/CHP+1.aspx 01/04/20144- http://www.kippzonen.com/?product/13/CMP+11.aspx 01/04/20145- http://www.kippzonen.com/?product/2021/SOLYS+2.aspx 01/04/20146- http://www.campbellsci.com/cr1000-datalogger 01/04/20147- http://www.nrel.gov/midc/utpa_srl 01/02/20148- M. J. Reno, C. W. Hansen, J. S. Stein, Global Horizontal Irradiance Clear Sky Models: Implementation andAnalysis, SAND2012-2389, 20129- J. S. Stein, C. W. Hansen, M. J. Reno, The Variability Index: A new and novel metric for quantifying Irradianceand PV output
communication skills. Figure 1. Historical perspective of semiconductor product engineering at Texas Tech from its establishment to current. The numbers above the years refer to the PSPE cohort and the numbers below refer to the uPSPE/S-SDE cohorts.The endeavor at TTU became known as the Program for Semiconductor Product Engineering(PSPE). Shortly thereafter, the TTU program was incorporated into the broader AnalogUniversity Program. The TTU program was expanded to support nearly all of TI’s business unitsincluding: DLP (Digital Light Processing), SPARC (Sun Microsystems design support), HVAL Page 24.1298.5(High Volume Analog), and HPA (High
concepts. application(s) OR focusing opportunities” are evident. to the rationale for on the science needed to science learning. solve a real-world engineering challenge. a b c d C4. Teacher routinely asks Teacher sporadically asks Teacher asks students to Teacher does not Page 24.1333.7 students to provide scientific students to provide provide scientific and/or ask students to and/or engineering rationale scientific
Proceedings of the ACM 14th international workshop on Data Warehousing and OLAP, on pages 101-104, ACM, October, 2011.2. S. Amjad, S. Neelakrishnan, and R. Rudramoorthy. “Review of design considerations and technological challenges for successful development and deployment of plug-in hybrid electric vehicles,” in Renewable and Sustainable Energy Reviews, 14(3), on pages 1104-1110, 2010.3. The Apache Software Foundation, “Apache Hadoop,” http://hadoop.apache.org, February, 2014.4. “A commercialization project of Energy Systems Network,” http://www.energysystemsnetwork.com/project-summary-benefits, April, 2012.5. “Why Think City?,” http://thinkev.leftbankcompanies.com/why-think-city, December, 2013.6. J. Shafer, S
the century. Figure 1: Sample Project-based Climate Change Module: Understanding Climate Induced Changes in Arctic Ice (developed by W. Armington and S. Powers Clarkson University http://www.clarkson.edu/highschool/climate_ed/modules/index.php ) Page 23.928.5Several modules have a human activity or energy focus and provide opportunities for integratingengineering with science and mathematics content. As an example, the Power Profiler moduleincludes activities associated with energy efficiency and electric power production, including thegeneration of a poster depicting the
the late Page 23.939.21990’s and early 2000’s was already in place and expanding based on what was thought to beprudent.The story begins in 1996, starts with a faculty coalescence program that became a faculty/studentcoalescence program. The program is based on the mentoring model of: I do, you watch. Wedo, you learn. You do, others watch. We all do, we all learn3. The faculty develops into a teamand they pass this on to the students. In 2013 the model has been in place for some years and theresult is a community that functions well – students succeed and the results are increased studentbody, more national recognition, and better