2007. 5. Minaie, Afsaneh, et.al., Nanotechnology in Engineering Education”, 2015 American Society for Engineering Education Annual Conference, June 2015. 6. “What is Nanotechnology?,” What is Nanotechnology? | Nano. [Online]. Available: https://www.nano.gov/nanotech-101/what/definition. [Accessed: 28-Jan-2018]. 7. P. Dockrill, “Scientists Just Developed The World's Smallest Transistor,” ScienceAlert, 07 Oct-2016. [Online]. Available: https://www.sciencealert.com/scientists-just- developed-the-world-s-smallest-ever-transistor. [Accessed: 28-Jan-2018]. 8. “VEGA3,” Tescan. [Online]. Available: https://www.tescan.com/en- us/technology/sem/vega3. [Accessed: 27-Jan-2018]. 9. M. J. Madou, Fundamentals of
expecting to see higher levels of student and agency motivation and engagement. With thismonetary award at stake, we also anticipate an improvement in the quality of this year’s projectproposals.References[1] R. G. Bringle and J. A. Hatcher, “A service-learning curriculum for faculty,” Michigan Journal of Community Service Learning, pp. 112-122, 1995.[2] S. J. Peterson and M. J. Schaffer, “Service learning: A strategy to develop group collaboration and research skills,” Journal of Nursing Education, vol. 38, no. 5, pp. 208-214, 1999.[3] C. I. Celio, J. Durlak, and A. Dymnicki, “A meta-analysis of the impact of service-learning on students,” Journal of Experiential Education, vol. 34, no. 2, pp. 164-181, 2011.[4] M. J. Gray, E. H
Paper ID #23254Work in Progress: Introduction of Failure Analysis to a First-year RoboticsCourseDr. Kathleen A. Harper, Ohio State University Kathleen A. Harper is a senior lecturer in the Department of Engineering Education at The Ohio State University. She received her M. S. in physics and B. S. in electrical engineering and applied physics from Case Western Reserve University, and her Ph. D. in physics from The Ohio State University. She has been on the staff of Ohio State’s University Center for the Advancement of Teaching, in addition to teaching in both the physics and engineering education departments. She is
kinds of personalinteractions necessary to create the conditions for effective group work and learning well.References[1] Davis, D., Trevisan, M., Leiffer, P., McCormack, J., Beyerlein, S., Kahn, M. J., and Brackin, P. (2013). Reflection and metacognition in engineering practice. in M. Kaplan, N. Silver, D. Lavaque-Manty and D. Meizlish (Eds.) Using reflection and metacognition to improve student learning. (pp.78-103). Sterling, VA: Stylus.[2] Nilson, L. B. (2013). Creating self-regulated learners. Sterling, VA: Stylus.[3] Sousa, D. A. (2006). How the brain learns (3rd ed.). Thousand Oaks, CA: Sage Publications.[4] Mestre, J. (2002). Transfer of Learning: Issues and research agenda. Retrieved 1/18/2018 from https://www.nsf.gov/pubs
conceptualprimitive works. Then a final project was created in the course (2010~2013); students wererequired to finish a group project adopting the primitives lectured in the classes. Studentstaking the EOS course could thus be well trained and solve problems as expected. However,we got some feedbacks from graduated students, who asked to introduce more skills ofinnovation and imagination in such a course. Their values can be demonstrated not only fromtheir competencies of hands-on skills but also from designing a new product. Hence, in the fourth phase (2014~2016), CIM was adopted and SCAMPER wasintroduced in the EOS courses. Students were encouraged to put more innovation skills intotheir final project. The more verbs (S, C, A, M, P, E, R) applied to
motivated a comprehensive study of sili-nail lamp at high student-throughput rates. Students could be con wafer behavior when exposed to microwaves. First theexposed to the concepts of crosslinking and glass transition temperature in the empty microwave was measured before itin a less formal setting than the traditional lecture, allowing was turned on, directly after it had been on for 15 s, and thenstudents to actually experience the concepts instead of solely every minute until the interior of the oven returned to roomhearing them described. temperature. It was found that even though each trial began at Student satisfaction with the demo version of the experi- room temperature
very different results.Trina’s efficiency started off as the best, but had a steep decline from 2015 to 2016. Sharp’sefficiency was never near the top but did not have that steep decline despite being the same typeof panel. Further investigation will be done into the loss of data for certain months as well as theeffect that cleaning has on the efficiency of our solar panels.5References 1 New York State Energy Research and Development Authority, NY-Sun Annual Performance Report through December 31, 2015, Final Report (March 2016), p. S-1 2 Kaya Laterman, “Is New York Ready for Solar Power?” The New York Times, The New York Times, 30 Sept. 2016, www.nytimes.com/2016/10/02/realestate/is-new-york-ready-for-solar
. Kahneman, Thinking, Fast and Slow. New York: Farrar, Straus and Giroux, 2011.[5] M. R. Banaji & A. G. Greenwald, Blindspot: The Hidden Biases of Good People. New York:Delacorte Press, 2013.[6] C. Herring & L. Henderson, “From affirmative action to diversity: Toward a critical diversityperspective,” Critical Sociology, vol. 38. ED-5, pp. 300, 2012.[7] C. Herring, “Diversity and departmental rankings in chemistry,” in Careers,Entrepreneurship and Diversity: Challenges and Opportunities in the Global ChemistryEnterprise, H.N. Cheng, S. Shah & M.L. Wu, Eds. Washington, DC: American ChemicalSociety, 2014, pp. 225-236.[8] A. Kalev, F. Dobbin & E. Kelly, “Best practices of best guesses? Assessing the efficacy ofcorporate affirmative
EDC graduate track was approved. With MCEDC, her main duties have included student advising and academic program development. Recently, she co-developed the curriculum for the new Minor in Global Engineering offered by the CU Boulder College of Engineering and Applied Science starting in fall 2016. Ms. Sandekian earned B.S. and M.S. degrees in Aerospace Engineering Sciences at CU Boulder, a Spe- cialist in Education (Ed. S.) degree in Educational Leadership and Policy Studies from the University of Northern Colorado, and earned her Ph.D. in the Higher Education Student Affairs Leadership program from the University of Northern Colorado in 2017. c American Society for Engineering
, has anapproximately 60 seconds training time while achieving 95%-97% accuracy on the MNIST testset. The finalized model is Jetson ready. 98.5 98 97.5 97 96.5 96 95.5 95 94.5 0 50 100 150 200 250 300 350 Figure 11: Runtime (s) vs. Accuracy (%) Baseline Network Batch Size 1024 Training Epochs 100 Learning Rate 0.01 Optimizer Adam Hidden Units 800
holds B.S. and M.A. degrees in Mathematics. Dr. Hensel has over seven years of experience working in engineer- ing teams and in project management and administration as a Mathematician and Computer Systems Analyst for the U. S. Department of Energy as well as more than 25 years teaching mathematics, statis- tics, computer science, and freshman engineering courses in higher education institutions. Currently, she leads a team of faculty who are dedicated to providing first year engineering students with a high-quality, challenging, and engaging educational experience with the necessary advising, mentoring, and academic support to facilitate their transition to university life and to prepare them for success in their
extending beyond ourfirst goals of STEM exposure and engagement.References[1] S. Rogers, S. Harris, I. Fidan, and D. McNeel, “Art2STEM: Building a STEM Workforce at the Middle School Level,” ASEE Annual Conference and Exposition, Vancouver, BC, June 26-29, 2011.[2] M. Bright, “The Importance of Early, Consistent Exposure to STEM Fields,” Huffington Post, May 5, 2017. https://www.huffingtonpost.com/entry/the-importance-of-early-and- consistent-exposure-to_us_5908e6b1e4b03b105b44bcdf[3] S. Oberoi, “The Economic Impact of Early Exposure to STEM Education,” Committee for Economic Development, June 21, 2016. https://www.ced.org/blog/entry/the-economic- impact-of-early-exposure-to-stem-education[4] H
., & Lunetta, V. N. (2004). The laboratory in science education: Foundations for the twenty-first century. Science Education, 88, 28-54.5 Capobianco, B. M. (2006). Undergraduate women engineering their professional identities. Journal of Women and Minorities in Science and Engineering, 12(2-3), 95- 117.6 Krapp, A., & Prenzel, M. (2011). Research on Interest in Science: Theories, methods, and findings. International Journal of Science Education, 33(1), 27-50.7 Zawojewski, J. S., Diefes-Dux, H. A., & Bowman, K. J. (Eds.). (2008). Models and Modeling in Engineering Education. Rotterdam, Netherlands: Sense Publishers8 Cooper, M. M., Cox, C. T., Nammouz, M., Case, E., & Stevens, R
experience working in engineer- ing teams and in project management and administration as a Mathematician and Computer Systems Analyst for the U. S. Department of Energy as well as more than 25 years teaching mathematics, statis- tics, computer science, and freshman engineering courses in higher education institutions. Currently, she leads a team of faculty who are dedicated to providing first year engineering students with a high-quality, challenging, and engaging educational experience with the necessary advising, mentoring, and academic support to facilitate their transition to university life and to prepare them for success in their engineering discipline majors and future careers.Dr. Melissa Lynn Morris, West
an formal assessment of the methodology and preset it as a full paper. Works Cited1. Newstetter, W. C. (2006). Fostering integrative problem solving in biomedical engineering: the PBL approach. Annals of biomedical engineering, 34(2), 217-225.2. Mason, G. S., Shuman, T. R., & Cook, K. E. (2013). Comparing the effectiveness of an inverted classroom to a traditional classroom in an upper-division engineering course. IEEE Transactions on Education, 56(4), 430-435.3. Johnson, David W., Roger T. Johnson, and Karl A. Smith. Cooperative Learning Returns to College What Evidence Is There That It Works? Change: The Magazine of Higher Learning 30.4 (1998): 26-35.
generation from a majorityof these sources is based on either of the two main thermodynamic cycles: Rankine and Braytoncycles. To help understand the working of these cycle and the components involved in the powergeneration process, an animation is added that explains the working of each of the cycles on a step-by-step basis. Simultaneous to the animation, the thermodynamic graphs (h-s and P-v charts) usedin textbooks to explain the processes are also shown as animations, which helps the participantunderstand the process thoroughly. The charts provide the properties (temperatures, pressures, andspecific volume) of the working fluid, which aids in design calculations required to achieve thedesired power output. The window of the tool which had the
change, thus giving engineers the much needed hands on knowledge to implementideas directly into concepts and validate the outcome [4].Figure 1: Main SERC Work AreaThe Student Electronic Resource Center (SERC) at the University of Pittsburgh provides hands-on learning that complements the theoretical understanding that is being developed in theclassroom, and students are able to develop their skills at a rapid pace (Figure 1). Using a systemdeveloped by Vincent Wilczynski at Yale University that categorizes makerspaces in ahierarchical level, SERC would be classified as an S-3, A-4-S, U-2, F-1, M-3 makerspace [5].Meaning that SERC provides support for at least three university missions, access is provided toall current and past students in the
fellows to measure confidence and compared to scoresfrom the rubrics to determine correlations.Next StepsCurrently, the recruiting materials for the 2018 STEM storyteller program is under developmentand the public speaking rubric is under development. At the time of the 2018 ASEE Annualconference, it is anticipated that the poster for this paper will be able to present the recruitingmaterials, the public speaking rubric, and any lessons learned from trying to attract 1st year Ph.D.students into this program.ReferencesMooney, C., & Kishenbaum, S. (2009). Unscientific America: How Scientific Illiteracy Threatens our Future. New York: Basic Books.Committee on Prospering in the Global Economy of the 21st Century. (2007). Rising Above the
., change in knowledge) often uses some proxylike course grades or performance on a particular project or exam to ascertain student knowledgechange. Utilizing course or project/exam grades may contain bias not only because there issometimes no baseline metric upon which to determine prior/exogenous knowledge, but alsobecause such grades are normally a) not anonymous to the instructor(s) and b) can be affected bythe instructor’s own grading biases.Changes in attitude toward a given topic or engineering in general is valuable knowledge, giventhe effects of student perception on graduation rate [16] and eventual employment [17] as well asless easily measured variables like satisfaction in engineering and creativity in the discipline.There are multiple
thestandard deviation values decreased at the end of the term – thereby suggesting that the scatterwas more clustered at the end of the term. Whereas, the scatter was more varied at the begging ofthe term – suggesting that the incoming students had disparate skill sets.end of term student commentsStudent end-of-term comments in written evaluations were very positive - with the studentsindicating that the greatest benefit to them came from exposure to the Instructional TeamTeaching effort, which provided effective, supportive weekly monitoring and mentoring.references[1] Ulrich, K. T., & Eppinger, S. D. (2008). “Product Design and Development”. 2004. NewYork: McGraw-Hill.
national or regional conference, as well as a poster/presentation atWKU’s annual research week. The faculty is expected to submit publication(s) upon completionof the grant. [15]“The Undergraduate Research Award (URA) program at Miami University encourages studentsto seek out a faculty-mentored experience in developing a research grant proposal [16]”. Thegrant amount varies between ($150 to $500), which are supposed to be spent for researchexpenses, i.e. purchasing supplies and materials for research. All enrolled full-timeundergraduate students in all disciplines on all campuses who have a GPA of at least 2.0 areeligible to apply. The student should approach a faculty member and write the proposal inaccordance with the faculty and submit with
that the population in the United States is nolonger as diverse as it once was[5]. As people have emigrated from all parts of the world,cultural groups are represented in much different percentages than 10 years ago. Over the lastcentury much of the diversity evident in the early 1900’s has assimilated into what is referred toas a melting pot, constantly changing. However, universities do not reflect the type and level ofdiversity of the current population[2, 3]. Both of the engineering and engineering technologyprograms, despite higher levels of one underrepresented group or another, still has much higherlevels of white students. Thus the general population that was once in the minority are moving toa more balanced number as related to the
SBxFigure 2: Projectile motion archetypeProjectile motion is confined here to two-dimensions for simplicity as not much morefundamental complexity is gained from including a third dimension to the particle’s motion. Themotion of the particle is constrained to have constant velocity and solutions are usually foundusing three classic kinematics equations. The problem description below shows three points ofinterest in the trajectory, A, B, and C. Each point can have specified its position, S, or velocity,V. Since acceleration in projectile motion is constant, only two constant values, the x- and y-components, are necessary to define the acceleration at all points along the trajectory. Ifadditional variables for the time of flight between each point
," Teachers College Record, vol. 113, pp. 1311-1360, Jan 2011.7. T. Kleickmann, S., Tröbst, A. Jonen, J. Vehmeyer, & K. Möller, " The effects of expert scaffolding in elementary science professional development on teachers’ beliefs and motivations, instructional practices, and student achievement," Journal of Educational Psychology, vol. 108, pp. 21-42, Jan. 2016.8. K. Appleton, “Elementary science teaching,” in Handbook of Research on Science Education, S. K. Abell & N. G. Lederman, Eds. New York: Routledge, 2008, pp. 493– 535.9. L. Darling-Hammond, B. Berry, & A. Thoreson, "Does teacher certification matter? Evaluating the evidence," Educational Evaluation and Policy Analysis, vol. 23, pp. 57- 77, March 2001.10
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DiversityCommittee members and delegates whose hard work and dedication have truly impacted ASEEand the engineering environment. We especially thank Kristen Constant for phrasingsuggestions.References[1] C. Herring, “Does diversity pay?: Race, gender, and the business case for diversity,” American Sociological Review, vol. 74, no. 2, pp. 208–224, 2009.[2] N. M. Carter and H. M. Wagner, “The bottom line: Corporate performance and women’s representation on boards (2004-2008),” Catalyst, vol. 1, 2011.[3] S. Devillard, W. Graven, E. Lawson, R. Paradise, and S. Sancier-Sultan, “Women Matter 2012. Making the Breakthrough,” McKinsey \& Company, 2012.[4] B. L. Yoder, “Engineering by the Numbers,” in American Society for Engineering Education
vs. Wikipedia. Journal of Academic Librarianship, 38, 391-399.Coulter, P., Clarke, S., & Scamman, C. (2007). Course grade as a measure of effectiveness of one-shot information literacy instruction. Public Services Quarterly, 3, 147–163.Denison, D. R., & Montgomery, D. (2012). Annoyance or delight? College students' perspectives on looking for information. Journal of Academic Librarianship, 38, 380–390. http://dx.doi.org/10.1016/j.acalib.2012.08.007Detlor, B., Booker, L., Serenko, A. & Julien, H. (2012). Student perceptions of information literacy instruction: The importance of active learning. Education for Information, 29, 147-161.Garrison, D. R., Cleveland-Innes, M., Koole, M., &
DiverseLearners in Science Technology Engineering and Mathematics (STEM),” in ASEE AnnualConference & Exposition, Columbus, OH, USA, June 24-28, 2017.[5] M. Smith, “The Virtual Laboratory: Technology Enhancement For Engineering Education,”ASEE Annual Conference, Albuquerque, New Mexico, USA, June 24-27, 2001.[6] M. Angolia, “An Active Learning Approach to Core Project Management Competencies” inASEE Annual Conference & Exposition, New Orleans, LA, USA, June 26-28, 2016.[7] D. Roy, P. Bermel, K. A. Douglas, H. A. Diefes-Dux, M. Richey, K. Madhavan and S. Shah,“Synthesis of clustering techniques in educational data mining,” in ASEE Annual Conference &Exposition, Columbus, Ohio, USA, June 24-28, 2017.[8] J. Barbuto, “A Critique of the Myers
Librarian for Engineering and Entrepreneurship at the North Carolina State University Libraries. She provides research support for the College of Engineering, College of Textiles, and entrepreneurship initiatives at NCSU. Shelby received her B.A.’s from Pennsylvania State University and her MSLIS from the University of Illinois at Urbana-Champaign’s iSchool. c American Society for Engineering Education, 2018 Work In Progress: Healthcare Economics and Information Literacy: Resources for Success in Undergraduate Biomedical Engineering EducationThe pathway to successful medical innovation includes a labyrinth of business hurdles includingregulatory approval, reimbursement strategy, intellectual property
, Oct. 2005.[4] R. W. Lent, H. Sheu, D. Singley, J. A. Schmidt, L.C. Schmidt, and C. S. Closter, “Longitudinal relations of self-efficacy to outcome expectations, interest, and major choice goals in engineering students,” Journal of Vocational Behavior, vol. 73, no. 2, pp. 328-335, Oct. 2008.[5] M. T. Wang, F. Ye, and J. L. Degol, “Who chooses STEM careers? Using a relative cognitive strength and interest model to predict careers in science, technology, engineering, and mathematics,” Journal of Youth and Adolescence, vol. 46, no. 8, pp. 1805-1820, Aug. 2017.