advice students to build Mechatronics devices. Today my interests are in vision, voice recognition, data mining, and gaining more experience in the field of artificial intelligent.Dr. Andy Zhang, New York City College of Technology Dr. Andy S. Zhang received his Ph.D. from the City University of New York in 1995. He is currently the program director of a mechatronics project in the New York City College of Technology/CUNY. For the past 15 years, Dr. Zhang has been working on bringing hans-on mechatronics technology to the undergraduate engineering technology curricula and on helping high school students to learn mechatronics through FIRST Robotic Competition (FRC), First Tech Challenge (FTC), and other STEM events
QRMA III, which is supported by NIGMS/NIH,Award Number R25GM108593 References1. Medema G, Ashbolt, N. QMRA: Its Value for Risk Management. Microrisk, Microbiological Risk Assessment: A Scientific Basis for Managing Drinking Water Safety From Source to Tap. Microrisk, 2006.2. Ashbolt NJ, Schoen ME, Soller JA, Roser DJ. Predicting pathogen risks to aid beach management: the real value of quantitative microbial risk assessment (QMRA). Water research, 2010; 44(16):4692–4703.3. Bambic D, McBride G, Miller W, Stott R, Wuertz S. Quantification of pathogens and sources of microbial indicators for QMRA in recreational waters. 2011.4. Weir MH, Shibata T, Masago Y, Cologgi DL, Rose JB. Effect of Surface Sampling and Recovery of Viruses and
invitation. Thefocus group interviews will coincide with the annual conference American Society forEngineering Education in Columbus, OH for the 124th Annual Conference & Exposition, June24 - 28, 2017.AcknowledgmentThis material is based in part upon work supported by the National Science Foundation underGrant Numbers 1535456 and 1712618. Any opinions, findings, and conclusions orrecommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation.References1. Hill Collins, P. Toward a new vision: Race, class, and gender as categories of analysis and connection. Race Sex Cl. 1, 25–45 (1993).2. American Society for Engineering Education. Engineering Database System
focus on testing what learner characteristics contribute to MOOC usagethrough predictive models, building a course analytics pipeline for visualizing learnerperformance, mapping of course characteristics, and development of evaluation tools (criteriaand rubrics) useful for MOOC evaluation.Bibliography[1] Davidson, E. J. (2005). Evaluation methodology basics: The nuts and bolts of sound evaluation. Thousand Oaks, CA: Sage.[2] Hicks, N., Zielinski, M., Wang, S. H., Douglas, K. A., Bermel, P., Diefes-Dux, H. A., & Madhavan. Intended Outcomes of Teaching a STEM MOOC. (Abstract submitted). IEEE Frontiers in Education Conference. Indianapolis, IN.[3] Douglas, K. A., Mihalec-Adkins, B., Hicks, N., Diefes-Dux, H. A., Madhavan
process) and POED 4(prototyping, testing, and post-mortem analysis) represent the two largest areas of student focus,but with POED 2a (concept generation) the second largest individual category. By comparing Figure 6(c) and the terms we highlight in Figure 6(a), we observe that thewords most frequently cited overall seem to approximately map to the POED most frequentlywritten about by individuals. We note the frequent use of the word ‘team,’ and the fact thatPOED 1, which deals with several issues pertinent to team formation, organization, andmanagement, both represent areas frequently explored by individuals in the LS. Similarly, weobserve that ‘concept(s)’ were extremely well represented in the writing samples. Those wordscould refer to
://github.com/joshpelkey/cmap-parse>. [7] Paas, F., Tuovinen, J. E., Tabbers, H., & Van Gerven, P. W. 2003. Cognitive load measurement as a means to advance cognitive load theory. Educational psychologist, 38(1), 63-71. [8] Hoffman, B., & Schraw, G. 2010. Conceptions of Efficiency: Applications in Learning and Problem Solving. Educational Psychologist,45(1), 1-14. doi:10.1080/00461520903213618 [9] Antonenko, P., Paas, F., Grabner, R., & van Gog, T. 2010. Using electroencephalography to measure cognitive load. Educational Psychology Review, 22(4), 425-438.[10] Hart, S. G. 2006. NASA-task load index (NASA-TLX); 20 years later. In Proceedings of the human factors and ergonomics society annual meeting, Vol. 50, No. 9, pp
interpersonal skills? Economics of Education Review 2011, 30 (6), 1516-1526.2 Lerner, A.L., Kenknight, B.H., Rosenthal, A. et al. Design in BME: Challenges, Issues, andOpportunities. Ann Biomed Eng 2006, 34 (2): 200-208.3 Jennifer H. Choi. Work in Progress: The Incorporation of Hands-on, team-based designchallenges in a large enrollment introductory biomedical engineering course. ASEE AnnualConference & Exposition, New Orleans, Louisiana 2016.4 Okudan, G.; Ogot, M.; Gupta, S. Assessment of Learning and its Retention in the EngineeringDesign Classroom Part A: Instrument Development. American Society for EngineeringEducation Conference Proceedings 2007, AC 2007-2261.5 Mulford, D. R.; Robinson, W. R., An Inventory for Alternate Conceptions among
driverless car sees the road,” https://www.ted.com/talks/chris_urmson_how_a_driverless_car_sees_the_road, accessed February 12, 2017.2. Richards, Neil M., and William D. Smart. "How should the law think about robots?," https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2263363, accessed February 12, 2017.3. J.G. Ballard, Thousand Dreams of Stellavista, Short Story, 1963.4. Aikenhead, G. S. and Ryan, A. G, “The Development of a New Instrument: Views on Science—Technology— Society (VOSTS)” Sci. Ed., Vol. 76, 1992, pp. 477–491.5. Mack, P.E., Campbell, T. and Abd-Hamid, N.H., “Issues in Survey Assessments of STS courses”, Bulletin of Science, Technology, and Society, October 2008, Vol. 28, pp. 408-413.6. California Critical
Exposition, San Diego, CA, November 2013. 3. L. Guessous, Q. Zou, B. Sangeorzan, L. Smith, L. Yang, X. Wang, J.D. Schall, G. Barber and M. Latcha,“ AERIM Automotive-themed REU Program : Organization, Activities, Outcomes and Lessons Learned,” Paper AC 2001-1309, 2011 ASEE Annual Conference and Exposition, Vancouver, Canada, June 2011. 4. E. Seymour, A.-B Hunter, S. Laursen, and T. DeAntoni, T. "Establishing the benefits of research experiences for undergraduates: first findings from a three-year study," Sci. Educ., 88, pp. 493-594, 2004. 5. A.W. Astin, What matters in college? Four critical years revisited. San Francisco: Jossey- Bass., 1993. 6. Pascarella, E. T., & Terenzini, P. T., How college
education.References1 ABET. Criteria For Accrediting Engineering Programs. (2014).2 Phase, I. Educating the Engineer of 2020:: Adapting Engineering Education to the New Century. (National Academies Press, 2005).3 Ainsworth, S. in Visualization: Theory and practice in science education 191-208 (Springer, 2008).4 Miskioğlu, E. E. in Frontiers in Education Conference (FIE), 2016 IEEE. 1-7 (IEEE).5 Kolb, D. A. Learning styles and disciplinary differences. The modern American college, 232-255 (1981).6 Miskioğlu, E. E. Learning in Style: Investigation of Factors Impacting Student Success in Chemical Engineering at Individual and Team-Levels with a Focus on Student Learning Styles, The Ohio State University
heads and graduate program administrators of selectedengineering doctoral programs to assist with survey promotion and distribution. The largenumber of responses will provide our analysis with the statistical power to identify and measurethe significance of identity and motivational profiles of doctoral engineering students.AcknowledgementsThis work was funded by the National Science Foundation, grant # 1535254.References1. Ugwu, D.N., Adamuti-trache, M., 2017. Post-Graduation Plans of International Science and Engineering Doctoral Students Attending U . S . Universities 7, 1–21.2. Long-Chuan, L., Rose, G.M., Blodgett, J.G., 1999. The Effects of Cultural Dimensions on Ethical Decision Making in Marketing: An Exploratory Study. J. Bus
learning are ways of teaching that better connect the component parts of engineeringwork"8(p174). Sheppard et al. identify five key insights for rethinking the education of engineers:“Engineering work is inherently interactive and complex; Formulating problems and solvingproblems are interdependent activities; Engineering has many publics, Engineering incorporatesmany domains beyond the technical; Engineers affect the world.”8(p175) However, pockets ofinnovation suggest that transformation of engineering education is underway. In order tomeasure this transformation, it is important to benchmark the current practice, or 'signaturepedagogy', of engineering.Signature PedagogiesA signature pedagogy “organize[s] the fundamental ways in which future
for Q&A to allow students to add pictures (so they canmeet each other) and make it easier to search.Bibliography[1] Brandao J; Carvalh V. “Game Quiz”-Implementing a serious game platform based in quizgames for the teaching of information and technology. 11th International Conference IEEEremote engineering and virtual instrumentation 2014[2] MATLAB and Statistics Toolbox Release 2012b, The MathWorks, Inc., Natick,Massachusetts, United States.[3] Pensky, M. (2001). “Digital Natives, digital immigrants.” On the Horizon. 9 (5), P. 1.[4] Bradford, M.; Muntean, C.; Pathak P. “An analysis of flip-classroom pedagogy in first yearundergraduate mathematics for computing” 2014 IEEE Frontiers in education conference.[5] Paturusi, S. ;Chisaki. Y
students’ knowledge and skills in magneticcomponent design. Improvements on the lab course based on the survey results are currentlybeing conducted. Lastly, the lab manuals for these experiments will be made available on line soother universities who are interested in establishing a similar course may make use of the alreadydeveloped materials.Bibliography1. P. Thollot, “Power Electronics Today”, Proceedings of the 1990 IEEE Colloquium in South America, 1990, pages 184-187.2. G. Grandi, M. K. Kazimierczuk, A. Massarini, U. Reggiani, and G. Sancineto, “Model of Laminated Iron-Core Inductors for High Frequencies”, IEEE Trans. On Magnetics, Vol. 40, No. 4, July 2004.3. S. Zwass, Los Angeles Chapter, IEEE Magnetics Society, letter
Figure 5The data indicates that students’ success attaining this performance indicator, was higherin part 2 (75%) than in part 1 (50%). This is as expected result, since part 1 requiredmore critical thinking skills, than part 2. Overall, the students performed 63% percent.This level of success leaves much room for quality improvement, but at least there isconfidence that the assessment procedure outlined in this work is a good tool formeasuring and demonstrating ABET outcome E.[1] www.abet.org[2] Dudeck, K., Grebski, W. (2013). Energy Education and Training: A Case Study. In Anwar, S. (Eds.), (Vol. On line, March 2013). Taylor and Francis. http://www.tandfonline.com/doi/abs/10.1081/E-EEE- 120048423.[3] Dudeck, K., Grebski, W. (2011) “New
volatility study on a smallertime scale in the near future, including the events triggered by cosmic rays outside Milky Way 10.AcknowledgmentsWe thank QuarkNet for support. We thank Alexei Kisselev for laboratory support. We thank DrDavid Lieberman, QCC Physics Chair and Dr Chantale Damas, NASA-QCC Space WeatherStudent Research Consortium Grant PI, for support. We thank Eric Cheung MD UIC MedicalCollege Psychiatry Department for discussion. C. D. and S. B, thank QCC for their hospitality. Fall 2017 Mid-Atlantic ASEE Conference, October 6-7 – Penn State BerksReferences1 QuarkNet. http://quarknet.i2u2.org/home2 The Royal Swedish Academy of Sciences Press Released. Bank of Sweden Prize in Economic Sciences in Memory of
physics. “When I was a kid my father took me to the physics lab…. Whenyou're a kid it ha[s] a great influence on you, because ... your dad just looked like an Einstein.”For Sean, being a good son was tied up in being a good teacher and a good engineer, as successin one indicates success in the others. He also drew on his experiences and identity as a non-native speaker when talking about his work teaching engineering, as demonstrated in thefollowing quote: “One of my students asked me, ‘Oh my god. I got a minus work, a negative work.’ ... Don't feel bad about the negative work…. This negative means that this is work out of your system, not into your system. For example, the pump work, and the rankine cycle is positive
Paper ID #19448Torsion Tests to Study Plastic Deformation in Ductile MaterialsProf. Somnath Chattopadhyay, University at Buffalo, SUNY Dr. Somnath Chattopadhyay teaches mechanics, manufacturing and design at the University at Buffalo. He has authored a text on Pressure Vessel s and till recently was an Associate Editor of the ASME Journal of Pressure Vessel Technology. His research interests are in the areas of fatigue and fracture of metals, carbon nanotubes, multi-scale material modeling and engineering education. He had a very successful industrial career with Westinghouse Electric where he directed and performed
“professional knowledge” as a type ofknowledge arising from engagement in reflection activities is in alignment with Stevens et al.’s(2008) notion of accountable disciplinary knowledge. In other words, reflection activities canhelp students gain or advance their knowledge in relation to course learning objectives,knowledge and skills required for accreditation, etc. In talking with students to explore whetherthe reflection activity did result in professional knowledge, we might be interested in statementsfrom students such as: “I learned something relevant to the course objectives,” “I learnedsomething relevant to my degree,” and “I learned something related to getting a universitydegree.”Factor 2: Personal knowledgeReflection activities have the
Paper ID #20385Material and Processing Basics Through Reverse EngineeringProf. Somnath Chattopadhyay, University at Buffalo, SUNY Dr. Somnath Chattopadhyay teaches mechanics, materials, manufacturing and design at University at Buffalo He has authored a text on Pressure Vessel s and till recently was an Associate Editor of the ASME Journal of Pressure Vessel Technology. His research interests are in the areas of fatigue and fracture of metals, carbon nanotubes, multi-scale material modeling and engineering education. He had a very successful industrial career with Westinghouse Electric where he directed and performed
efficiency of transaction processing. Mobility refers tothe capability of mobile payment transactions to be carried out at any time and in any place. Easeof use is the ease with which transactions can be performed using mobile payment methods.Mobile payments are completed in a relatively short time when compared to other forms ofpayment, hence the speed attribution, and the security of mobile payments is also a benefit thatmakes mobile payments adoption particularly advantageous [1][4][5]. The ease-of-use, speed,and efficiency of transaction processing are factors that boost merchant adoption as well [2].“The acceptance of mobile payment method[s] by merchant[s] especially small and mid-sizedbusiness[es] (SMBs) has risen tremendously…[to] 21% of
://academic.udayton.edu/kissock/http/research/EnergySoftware.htm. The University ofDayton Industrial Assessment Center is one of twenty-six Department of Energy funded Centers.It has been in operation since the early 1980’s and has completed over 950 industrial assessments.In the years of operation, the Center has developed many spreadsheets, software programs, andreport formats which it made available to the Ohio Lean Building Project (OLBP). Colleges anduniversities wishing to replicate such a program would also have access to the “Energy EfficiencyGuidebook.”Formal Program GoalsThe program’s goals: 1. Train the next generation of energy engineers and technicians in building energy efficiency. 2. Make Ohio’s buildings more energy efficient by
of Teaching. Innov High Educ. 2015;40:291–303.11. Arbuckle J, Williams BD. Students’ Perceptions of Expressiveness: Age and Gender Effects on Teacher Evaluations. Sex Roles. 2003;49(9–10):507–16.12. Sprague J, Massoni K. Student Evaluations and Gendered Expectations: What We Can’t Count Can Hurt Us. Sex Roles. 2005;53(11–12):779–93.13. Miller J, Chamberlin M. Women Are Teachers, Men Are Professors: A Study of Student Perceptions. Teach Sociol. 2000;28(4):283–98.14. Terkik A, Prud’hommeaux E, Alm CO, Homan C, Franklin S. Analyzing Gender Bias in Student Evaluations. Rochester Institute of Technology; 2016.15. Fandt PM, Stevens GE. Evaluation Bias in the Business Classroom
officially over and has already been graded. This project provides a perfect opportunity for students to hone their engineering designskills. The experience students gain with CAD, CAM, FEA, and CNC machining during thisproject, both through their successes and failures along the way, prepares them for a betterchance at success while working on other projects in this course and in their capstone designprojects, and, of course, after graduation and throughout their careers as engineers.References[1] Perez, D., J. Gibson, S. C. Opsal, R. M. Lynch, and R. M. French, “Guitar Building Course Gives High School Students” A Taste of Engineering” Proceedings of the IL-IN Section Conference of the American Society for Engineering Education, 2010
entries will attempt to relate the work activities of each week to thecoursework completed thus far in the student's academic curriculum. The journal may containany dilemmas or problems and related solutions or courses of action taken.A final report is also mandatory. This is above and beyond the weekly journal and StudentEvaluation form. The format and topic(s) of the final report is left up to the student with theapproval of the research supervisor. The intent of the report is to prepare a scholarly workdocument to be submitted (acceptance is not a requirement) in the form of a conference,scientific and trade journal paper, technical meeting or conference presentation.A seminar will be scheduled at the end of the term. At this seminar, students
spring of 2017. The Historical Society director wanted to show the shift from flour milling topaper milling on the Fox River that occurred at that time. So, the class was ‘hired’ to makeinteractive exhibits that demonstrated how an 1870’s flour mill worked.It was a unique opportunity for the class, because they were able to interact with a client,including touring the space, creating prototypes, having the client request design changes, andfinally building the exhibit. Partnering with the students also helped the Historical Societyreceive two local community grants to support the exhibit. At the end of the semester, thedirector of the Historical Society reviewed the student projects and accepted 4 of the 5 projectsfor inclusion in the exhibit
Paper ID #19798Engineering Economics for Freshmen EngineersDr. Gilbert C Brunnhoeffer III P.E., Roger Williams University Practiced Civil Engineering and Engineering Management in the U S Army for 20 years. Engaged in software engineering for three years and ran factories producing engineered materials for the aerospace and electronics industries for seventeen years. Teaching career includes engineering mechanics, civil engineering, and construction management for seventeen years. c American Society for Engineering Education, 2017 Engineering Economics for Freshmen EngineersFreshmen
2/37 Functional Materials and Structures – Spring 2015 2 S ELF C LEANING C OATING: L OTUS EFFECT H YDROPHOBIC ¢ Efficient self-cleaning plant mimicked in paints and other surface coatings ¢ Pipe cleaning in oil refineries ¢ Car never needs cleaning ¢ Window never needs cleaning ¢ Make up