. Kinetics principle(s) and/or kinematics you Kinetics principle(s) and/or kinematics you would use: would use: 3. During a hammer thrower’s practice swings, the 4. Knowing that crank AB rotates about Point A 7.1-kg head A of the hammer revolves at a constant with a constant angular velocity of 900 rpm speed v in a horizontal circle as shown. If = 0.93 clockwise, determine the acceleration of the piston m and = 60, determine the tension in wire BC. P when = 30. Kinetics principle(s) and/or kinematics you would use: Kinetics principle(s) and/or kinematics you
supportwas provided by the Role of Reflection in SoTL Faculty Learning Community program throughthe Indiana University-Purdue University Indianapolis Center for Teaching and Learning.References[1] A. R. Carberry, M. Siniawski, S. A. Atwood, and H. A. Diefes-Dux, “Best Practices for Using Standards-based Grading in Engineering Courses,” presented at the 2016 ASEE Annual Conference & Exposition, New Orleans, LA, USA, Jun. 26-29, 2016.[2] S. L. Post, “Standards-Based Grading in a Thermodynamics Course,” Int. J. Eng. Pedagogy, vol. 7, no. 1, pp. 173–181, Jan. 2017.[3] L. Nilson, Specifications Grading: Restoring Rigor, Motivating Students, and Saving Faculty Time. Sterling, VA: Stylus, 2014.[4] J. J. Polczynski and L. E. Shirland
completed using challenge activities. For spreadsheets, challengeactivities allow students to enter formulas, functions, and calculated values to test their strengthsusing spreadsheets. With hundreds of numeric combinations on many problems, students canrepeat a new version of any question until they compute correct answer(s). With over 100 differentquestions, the most difficult spreadsheet skills can be identified from students’ success. Thenumber of attempts before correct and total attempts will complement the percent correct to givemultiple metrics. Over 9,000 questions were attempted by the 2018 cohort and will be analyzedhere. Responses from the 2019 cohort will be compared in the conference presentation.Challenge activity scores varied
program, 40% of the population is comprised of women, a stark contrast to thesmall percentage of women represented in more traditional engineering programs. We felt thatinterviewing a proportionally larger number of women in a context different than traditionalengineering programs might provide insight into their construction, understanding, and valuingof knowledge(s). We acknowledge that this might risk having the male student having tokenrepresentation, and a follow-up study and analysis plans to address this gender imbalance.Data Collection: Participants were recruited from the AME capstone course and were chosenbecause the course is only taken by students approaching graduation; we felt that these studentshad ample experience with the program
projects were well balanced. On average, the studentsshared that the biological concepts were a bit more difficult than the mechanical engineeringconcepts (65% v/s 62.5%). Standardized pre-/post-summer experience surveys were also usedto assess the impact of the course modifications on the participants’ scientific self-efficacy andimpression of research (Survey of Undergraduate Research Experiences, SURE) [18]. Theresults from the SURE survey at the end of the Summer 2018 show that out of the 21comparative learning gains, the EGGN 122 freshmen and sophomore were higher than thenational average in 11 and lower than the average in 5 gains. In response to the survey results,the last semester of the program involved improving the students’ preparation
. The minimumparking space length can be obtained from the solution of θ, which is Lmin = 104 cm. Lpmin thenhas to be 94cm. From the result that S+ Lp = 138 cm, and choosing Lp =100 cm > 94 cm, one canobtain S = 38 cm. The rear sensor should read a distance around dr = 30 cm at the turning point P.To avoid accident, the parking space length is set as L = 110 cm > 104 cm and is then used in thecriteria for parking space finding in Eq. (1). 9 Figure 7. The picture of the modified RC toy car.The toy car does stops after finding a proper parking space and start backing up to park.However the parked positions are not at the theoretical location and are also not identical
). at 4. Morozov, E. Making it. The New Yorker (2014). at 5. Foster, T. Welcome to the maker-industrial revolution. Popular Science (2015). at 6. Chachra, D. Why I am not a maker. The Atlantic (2015). at 7. Moldofsky, K. The maker mom. (2015). at 8. Hatch, M. The maker manifesto. McGraw Hill Education (2014). at 9. Martinez, S. & Stager, G. Invent to learn: Making, tinkering, and engineering in the classroom. (Constructing modern knowledge press, 2013).10. Make. Maker Pro. (2014).11. Makerspace North. Makerspace north. (2014). at 12. The British Council. Maker library network. at 13. Chaihuo Maker Space. Shenzhen Maker Faire. (2015). at 14. Seeed. First open hardware gathering in
ontological framework. Lastly, upon examination of the cognitive processes K-12 students’ employ duringdesigning, few coding schemes actually are informed by educational philosophies, learningtheory, and STEM educational reform. Nor, do they indicate how students can be better equippedto learn and develop their cognition while designing. As researchers and educators moveforward, examining decision making strategies as well as normative models may provideadditional relevance to Design Cognition in terms of how students are performing in relation toeducational philosophies, learning theory, and STEM Educational reform. ReferencesAdams, R. S., Turn, J., & Atman, C. Y. (2003). Educating effective
rubrics and exemplars, and an assessment tool is being developed to provide tuningfeedback in order to refine the laboratories in future years.References:1. Bartolo, L. et.al (2008), The Future of Materials Science and Materials EngineeringEducation, Workshop on Materials Science and Materials Engineering Education, NSF,September 2008.2. Olson, G. B. (2000). Designing a new material world. Science, 288(5468), 993-998.3. Feisel, L. D., & Rosa, A. J. (2005). The role of the laboratory in undergraduate engineeringeducation. Journal of Engineering Education, 94(1), 121-130.4. Feisel, L.D., and Peterson, G.D.,(2002). The Challenge of the Laboratory in EngineeringEducation,” Journal of Engineering Education, 91(4), 2002, pp. 367–3685. Edward, N. S
forengineering students. Not only would this improve the normality of the data and decrease theneed for additional analytical processes that will reduce the statistical power, but it would alsoallow for improved understanding of student learning and improved assessment of curriculumimpact on student abilities.Funding and AcknowledgementsBenjamin Call is funded by Utah State University’s Presidential Doctoral Research Fellowship.We would like to thank all of the students who participated in the study.References1. Halpern, D. F., & Collaer, M. L. (2005). The Cambridge Handbook of Visuospatial Thinking. Cambridge: Cambridge University Press.2. Sorby, S., Casey, B., Veurink, N., & Dulaney, A. (2013). The role of spatial training in
expressed herein are solely the authors’.REFERENCES CITED 1 Lighthall, A. (2012). Ten things you should know about today’s student veteran. Thought & Action: The NEA Higher Education Journal, 80-89. Available at http://www.nea.org/home/53407.htm2 Lord, S., Kramer, K., Olson, R., Karsada, M., Hayhurst, D., Rajala, S., … & Soldan, D. (2011). Special Session – Attracting and supporting military veterans to engineering programs. Proceedings of the 2011 Frontiers in Education Conference, Rapid City, SD, October.3 U.S. Department of Veterans Affairs. (2012). Annual benefits report fiscal year 2012. Available at
-scientificchallenge: Energy production. It is hoped that students learning about bioenergy willhave a deeper understanding of energy issues facing the planet and be prepared to be apart of solving these issues in the future.ReferencesBittle, S., Rochkind, J., & Ott, A. (2009). The Energy Learning Curve. Retrieved 8/15/14 from: http://www.publicagenda.org/files/energy_learning_curve.pdfBolte, C. (2009). Enhancing pupils’ abilities to properly judge and make informed decisions in the field of renewable energy sources. In Proceedings of the Australasian Science Education Research Association (pp. 149–154).Chen, K. L., Huang, S. H., & Liu, S. Y. (2013). Devising a framework for energy education in Taiwan
. Page 26.556.1 c American Society for Engineering Education, 2015 DNA Extraction Using Engineering Design: A STEM Integration Unit (Curriculum Exchange) Target Grade Level: 6-8 En gr TEA MSE n gin eerin g t o Tran sform t h e E d ucat ion of An aly sis, Measuremen t , & Scien ce Authors and Contact: Corey A. Mathis Tamara J. Moore S. Selcen Guzey Purdue University Purdue University Purdue University mathisc@purdue.edu
Engineering Initiative I. An Education Outreach Manual in TissueEngineering. In: Pittsburg Uo, editor. 2010.9. Birol G, Liu S, Smith D, Hirsch P Educational Modules in Tissue Engineering Based onthe “How People Learn” Framework. Bioscience Education E-journal. 2006;7.10. Bhatia S. A disease-centered approach to biomaterials education and medical devicedesign. 33rd Annual International Conference of the IEEE EMBS; Boston, Massachusetts2011.p. 3617-9.11. Reichert W, Harris TR, Lemmons J, Mikos AG, Puleo DA, Schoen FJ, Temenoff JS.2011 Panel on developing a biomaterials curriculum. Journal of Biomedical Materials ResearchPart A. 2011;100A:802-16.12. Feldman D, Gombotz WR. Biomaterials Education: An academic and industrialviewpoint
; Geophysical Division, Science and Technology Directorate.[2] Stephen G. Katsinas, "America's Rural Community Colleges: Demographics, Challenges, and Opportunities", (a Briefing on Rural Community Colleges for the U.S. Department of Education), Washington, D.C. (invited talk). February 24, 2010.[3] K. Koscher, A. Czeskis, F. Roesner, S. Patel, T. Kohno, S. Checkoway, D. McCoy, B. Kantor, D. Anderson,H. Shacham, and S. Savage. “Experimental security analysis of a modern automobile”, In Proceedings of the 31st IEEE Symposium on Security and Privacy, May 2010.[4] Elinor Mills, “Hackers broke into FAA air traffic control system”, The Wall Street Journal, page A6, 2009.[5] Vanessa Fuhrmans, “Virus Attacks Siemens Plant-Control Systems
of Applied Psychology, 97(4), 890–900.5 Côté, S. (2014). Emotional Intelligence in Organizations. Annual Review of Organizational Psychology andOrganization Behavior, 1, 459–488.6 Frye, C. M., Bennett, R., & Caldwell, S. (2006). Team Emotional Intelligence and Team Interpersonal ProcessEffectiveness. American Journal of Business, 21(1), 49–58.7 Gibbs, N. (1995, October 2). EMOTIONAL INTELLIGENCE: THE EQ FACTOR. Time, Cover story.8 IRR113-3. (2009, January 1). Alignment During Pre-Project Planning: A Key to Project Success, Version 2.1.Retrieved January 1, 2013, from https://www.construction-institute.org/scriptcontent/more/ir113_3_v2_more.cfm9 Jordan, P. J., Ashkanasy, N. M., Härtel, C. E. J., & Hooper, G. S. (2002). Workgroup
questionnaire.Self-Rating of Engineering Leadership Skills. The second part of the survey included a skillsquestionnaire that was developed based on the survey instrument created by Ahn et al.3. Ahnet al.’s survey contained 45 items specifically designed to measure outcomes in engineeringundergraduate students related to leadership, adaptability to change, and synthesis abilities3.Twenty of these items, principally the ones directly related to leadership, were chosen for theskills questionnaire (e.g. I independently initiate new individual or team projects and Imanage and organize my time efficiently). The participants were asked to rank the extent towhich they embodied each statement on a scale of one to four (1=rarely, 2=sometimes,3=frequently and 4
). Page 26.1430.4 Table 1 – Coding scheme description and examples.Domain Category Description Example Refers to writing or presentation of the design “There are grammatical error[s] Communication work. throughout the paper.” Explicitly refers to one of the design concepts Design Concepts taught in class by using terminology taught in “The goal could [be] more specific.” class.Substance Refers
identified by the RACI. Inquiry-based learning activities were designedusing variation theory4 to challenge students’ conceptual understanding of rate and accumulationprocesses across multiple contexts. Activities include the use of toy bricks to construct rate andaccumulation graphs. These activities will be tested in a required sophomore civil andenvironmental engineering course. The success of these activities will be measured usingformative assessments and pre-post course RACI scores. An observation protocol will also beused to assess students’ responses to the class activities5.References1. Flynn, C.D., Davidson, C.I., Dotger, S., 2014. Engineering Student Misconceptions about Rate and Accumulation Processes, in: ASEE 2014 Zone I
studentswrote in the triggering phase (Wang & Chen, 2008). This includes doing further research on atopic in order to support an argument being made against another student’s post or exploringother research because a student’s attention was brought to another aspect of the topic byanother student’s initial post. The final phase is the most important and is when a studentintegrates what s/he learned from discussion with other students (Wang & Chen, 2008). Thiswould typically be seen in a post later in the discussion after there has been enough discussionfor students to process the new perspectives and assimilate them to their understanding. Theguidelines that the online learning coordinator provides to encourage meaningful participationin the
for the actors to develop their own contextthrough improvisation.In TPC, Open Scene is used differently. Students are paired up (with an occasional trio, ifnecessary) and given a generic set of instructions explaining that they will perform a ‘scene’ withtheir partner(s) for their peers in approximately ten minutes. These instructions also include somereminders of things to consider that may help them communicate their scene, including tone,volume, body language, and use of relational space (all discussed previously in course content).Students are additionally encouraged to use readily available props as they deem appropriate.Each group is instructed to keep their scene a secret from other groups as they prepare. Then,each group is given
from this study can give contextualized voice to student-led efforts in retention [17].References[1] M. S. Ross and S. McGrade, “An exploration into the impacts of the National Society of Black Engineers (NSBE) on student persistence,” in ASEE 123rd Annual Conference & Exposition, 2016.[2] D. Dickerson and T. Zephirin, “Exploring the association of a cultural engineering student organization chapter with student success,” in Proceedings of ASEE 124th Annual Conference & Exposition, 2017.[3] W. C. Lee and H. M. Matusovich, “A model of co-curricular support for undergraduate engineering students,” J. Eng. Educ., vol. 105, no. 3, pp. 406–430, 2016.[4] W. C. Lee, A. Godwin, and A. L. H. Nave
2.49% 47.62% Business 1.48% 41.45%STEM Engineering 0.38% 20.94% Mathematics, statistics 5.94% 29.76% Physical science and science technologies 3.37% 31.55% Computer science and information 2.34% 20.56% technologiesWomen’s Share of S&E BS DegreesGender Disparities in Engineering Bachelor’s Degrees Earned by Women, 70% Selected Fields, 1970-2013 60% 57% 57% 58% 57% 54% 55
issues for thecontrol valve outputs, but we would recommend using shielded wires on these measurements.This paper gives details of construction and operation for a new lab apparatus that is suitable forundergraduate experiments in fluid mechanics, process control, and secure operation ofcyberphysical systems. Hopefully, other instructors will be able to benefit from our experienceusing this equipment.References[1] A. Teixeira, K. C. Sou, H. Sandberg and K. H. Johansson, "Secure control systems: A quantitative risk- management approach," IEEE Control Systems, vol. 35, pp. 24-45, 2015.[2] H. Sandberg, S. Amin and K. H. Johansson, "Cyberphysical security in networked control systems: an introduction to the special issue," IEEE Control Systems
and designthinking and that their differences are due to differences in application and the nature of their usein a process [1]. The Inclusive Concept Model suggests that systems thinking is merely a specificapplication of design thinking and falls under the category of design thinking [1]. Lastly was theIntegrative Concept Model which suggests that systems and design thinking are part of the sametype of cognition with the perceived difference between them being due to a gap between theirapplication in industry and formal research. Using Greene et al.’s work as a springboard, wecontinued exploration of the systems/design thinking relationship.Our paper is structured to first examine the emergent cognitive abilities and attributes of
Foundation. The Foundation was established by Stanton andElisabeth Davis after Mr. Davis's retirement as chairman of Shaw's Supermarkets, Inc.References[1] S. Pulford, J. Tan, M. Gonzalez, and A. Modell, "Satisfaction: Intrinsic and Extrinsic Motivation in Engineering Writing Coursework," in 125th ASEE Annu. Conf. Expo, 2018.[2] J. D. Ford, "Knowledge transfer across disciplines: Tracking rhetorical strategies from a technical communication classroom to an engineering classroom," IEEE Transactions on Professional Communication, vol. 47, no. 4, pp. 301-315, 2004.[3] D. A. Winsor, "Engineering writing/writing engineering," College composition and communication, vol. 41, no. 1, pp. 58-70, 1990.[4] L. Reave
, “Teacher and Student Attitudes Toward Teacher Feedback,” RELC J., vol. 38, no. 1, pp. 38–52, 2007.[4] E. Ekholm, S. Zumbrunn, and S. Conklin, “The relation of college student self-efficacy toward writing and writing self-regulation aptitude: writing feedback perceptions as a mediating variable,” Teach. High. Educ., vol. 20, no. 2, pp. 197–207, 2015.[5] R. Yoshida, “Teachers’ choice and learners’ preference of corrective feedback types,” Lang. Aware., vol. 17, no. 1, pp. 78–93, 2008.[6] O. H. A. Mahfoodh and A. Pandian, “A Qualitative Case Study of EFL Students’ Affective Reactions to and Perceptions of Their Teachers’ Written Feedback,” English Lang. Teach., vol. 4, no. 3, pp. 14–25, 2011.[7] T. Ryan and M
which corresponded to speed-limit changesbetween roads along the driven route. These sections are highlighted in Figure 2 by sudden dropsand spikes of the car velocity where a stoplight, stop sign, or turn was encountered. The recordedreadings were grouped 1-8, 9-18, 19-25, 26-34, 35-45, 46-66, 67-85, 86-103, 104-124, 125-130,131-133, 134-149, 150-158, 159-165, 166-173, and 174-183 to make up the sixteen sections. Figure 3: Car velocity (m/s) versus anemometer reading (m/s) In Figure 4, the average car velocities of the readings in each section, shown as bluemarkers, were calculated and plotted versus the average air velocity recorded in the anemometerof each section, shown as red markers. The plotted values are in
. Guskey, and L. A. Jung, “Response-to-intervention and mastery learning: tracing roots and seekingcommon ground,” The Clearing House, vol. 84, no. 6, pp. 249-255, 2011[3] – M. W. Bonner, “Grading rigor in counselor education: a specifications grading framework,” EducationalResearch Quarterly, vol. 39, no. 4, pp 21-42, 2016[4] – G. G. Shaker, and S. K. Nathan, “Teaching about celebrity and philanthropy: a case study of backward coursedesign,” The Journal of Nonprofit Education and Leadership, vol. 8, nr. 4, pp 403-421, 2018[5] – J. Ring, “Specifications Grading in the Flipped Organic Classroom,” Journal of Chemical Education, vol. 94,no. 12, pp 2005-2006, 2017[6] – L. Pope, H. B. Parker, and S. Ultsch, “Assessment of specifications grading in an
asked on the platform. The platform does not have a good interface for the display ofdrawings or mathematical formulae, which are important in upper-division engineering courses.To work around this, this author began to exploit the image upload feature of Kahoot! to upload asingle image containing all drawings, necessary formula, and the multiple choice answerselections [20]. The students then simply choose the shape/color corresponding to ABCD in theKahoot! app. An example of such an image is demonstrated in fig. 2. It can be seen that thegeneric purple kahoot! background that was demonstrated in fig. 1 has been replaced by an imagecontaining the question. This example deals with the strain rate tensor, S, that had been recentlyintroduced in