not easily altered without someimpetus to make the change. The introduction of individuals into the industry that are moreinclined to act collaboratively could act as a catalyst for change.Purpose of the StudyGender diversity has been connected to increased profits across multiple industries.8 Thesefindings have led to the creation of the value-in-diversity perspective, which contends that adiverse workforce has a distinct benefit to business.8 However, these benefits are not limited toincreased earnings.8 For example, there is evidence that the inclusion of women in CM maydecrease conflict and increase collaboration. Brahnam, et al.’s study suggests that women maypossess more effective conflict resolution attributes than their male
., Snyder, “Manufacturing Career Pathways”, Society of Manufacturing Engineers, pp. 101-103, 2010. 7. Craft, E.L., Chrislip, D.K., Parr, R.A., Sauber, V.A., “Aligning Workforce Skills with Industry Needs Through Problem Based Learning Environments”, ASEE, pp. 26.168.1- 26.168.12, 2015. 8. Alaraje, N., Sergeyev, A., Matar, B.H., “Digital Technical Education Collaborative: Report on NSF-ATE Project on Reconfigurable Electronics Workforce Development”, Proceedings of the ASEE National Conference. 2017. 9. Sala, A.L., “Expanding Photonics Education in the International Year of Light”, Proceedings of the ASEE National Conference, pp. 26.714.1 – 26.714.7, 2015. 10. McCormack, S.L., Zieman, S., “Technological
. Educ., vol. 2, no. 1, pp. 4–10, 2013.[7] G. Mountrakis and D. Triantakonstantis, “Inquiry-based learning in remote sensing: A space balloon educational experiment,” J. Geogr. High. Educ., vol. 36, no. 3, pp. 385– 401, 2012.[8] N. Mathers, A. Goktogen, J. Rankin, and M. Anderson, “Robotic Mission to Mars: Hands- on, minds-on, web-based learning,” Acta Astronaut., vol. 80, pp. 124–131, 2012.[9] R. Fevig, J. Casler, and J. Straub, “Blending Research and Teaching Through Near-Earth Asteroid Resource Assessment,” in Space Resources Roundtable and Planetary & Terrestrial Mining Sciences Symposium, 2012.[10] S. R. Hall, I. Waitz, D. R. Brodeur, D. H. Soderholm, and R. Nasr, “Adoption of active
genes and bimodal grades. ACM Inroads, 1(3), 16–17. 2. Patitsas E., Berlin, J., Craig, M. & Easterbrook, S. (2020). Evidence That Computer Science Grades Are Not Bimodal. Communications of the ACM, 63(1), 91-98. 3. Robins, A. V. (2010). Learning edge momentum: A new account of outcomes in CS1. Computer Science Education, 20, 37–71. 4. Robins, A. V. (2019). Novice Programmers and Introductory Programming. In S. A. Fincher & A. V. Robins (Eds.), Cambridge Handbook of Computing Education Research (pp. 327–376). Cambridge, UK: Cambridge University Press. 5. Margolis, J., Estrella, R., Goode, J., Jellison-Holme, J., & Nao, K. (2008). Stuck in the Shallow End: Education, Race, and Computing
: Programs, best practices, and recommendations," Journal of Engineering Education, vol. 100, no. 1, pp. 89-122, 2011.[2] M. Bussey, M. Mei Song, and S.-H. Hsieh, Anticipatory Imagination as a Tool for Rethinking Engineering Education. 2017.[3] R. S. Adams and R. M. Felder, "Reframing Professional Development: A Systems Approach to Preparing Engineering Educators to Educate Tomorrow's Engineers," Journal of Engineering Education, vol. 97, no. 3, pp. 239-240, 2008/07/01 2013, doi: 10.1002/j.2168-9830.2008.tb00975.x.[4] R. M. Felder, D. R. Woods, J. E. Stice, and A. Rugarcia, "The future of engineering education II. Teaching methods that work," Chemical engineering education, vol. 34, no
, concise, and straightforward; being sure thatthe item was directly assessing what needed to be assessed; and considering the relevance of theitem to the student experience [22]. Items were all written to be statements that students couldrate agreement with on a Likert scale, where 5 = strongly agree and 1 = strongly disagree. Thesurvey developed now provides the foundation for a future pilot study, in order to analyze thesuggested constructs and determine factor loading to pick the best survey item(s) that relate toeach theme.Results: Survey Items to Assess Women’s Dissatisfaction in TeamsOne goal of the survey is to be able to use the resultant data to determine whether themesidentified in the interviews are related to the gender makeup of the
leadership theoryin engineers’ professional identities,” Leadership, vol. 11, no. 3, pp. 351–373, 2015.[10] G. Warnick, J. Schmidt, and A. Bowden, “An experiential learning approach to developleadership competencies in engineering and technology students,” presented at the ASEE AnnualConference and Exposition, Indianapolis, 2014.[11] O. Pierrakos, M. Borrego, and J. Lo, “Assessing learning outcomes of senior mechanicalengineers in a capstone design experience,” in American Society for Engineering EducationAnnual Conference & Exposition, Honolulu, HI, 2007.[12] K. S. Cameron, R. E. Quinn, J. DeGraff, and A. V. Thakor, Competing Values Leadership,2nd ed. Northampton, MA: Edward Elgar Publishing, Inc., 2014.[13] K. A. Lawrence, P. Lenk, and R. E
toConstruction Material tab for them to acquire related knowledge. Similar to what hasbeen discussed above, only if students have both questions correct and click the“Construct” button, two illustrations for simulating the construction sequence of thebottom layer of a sluice gate appear on the right (Figure 11b).The Construction Process Simulation – Middle Layer, Construction Process Simulation –Top Layer, and Construction Process Simulation – Finish tabs follow the same pattern asthe Construction Process Simulation – Bottom Layer tab, where there are two Textboxesfor displaying questions, two Combo boxes for displaying multiple options, and one ortwo illustration(s) for simulating the construction sequence of a sluice gate (Figure 12).“Recommendation
doingspatial reasoning tasks, so it is possible that this extra time is a contributing factor in the reportedgains. On the other hand, students gained substantially simply by taking the class, so the benefitsof the app on its own are not clear.Another direction for further research should focus on additional development of the app.Possibilities include adaptive presentation of lessons based on student progress, further use ofgamification to enhance motivation and engagement, and building assessment into the app itself.References[1] S. Sorby, B. Casey, N. Veurink, and A. Dulaney, “The role of spatial training in improvingspatial and calculus performance in engineering students,” Learning and Individual Differences,vol. 26, pp. 20–29, 2013.[2] O. Ha
iteration, but we hope to start converging towards a new instructional modelthat better serves and retains a more diverse group of students, especially students fromunderprepared backgrounds.Traditionally, the first day of classes was spent attending to typical first-day-of-classhousekeeping business as well as speaking about hardware and software and introducing thebinary number system. Next came an introduction to Linux (since in order to minimizeinstallation issues and related troubleshooting, we have students program on our remote servers),more on binary numbers, including the 2’s complement representation, the hexadecimal numbersystem, etc. By the end of the first week of classes, the first program involving simple user input,a computation and
variation within the same item such as the moisture level, density of materialinside the package such as soil material and temperature.References[1] G. Aryal, K. Chanda, & L. Mapa. Statistical Analysis of the Effect of Temperature on RFIDTag Readability. Mechatronics 2010 Swiss Federal Institute of Technology ETH, Zurich,Switzerland, 2010[2] L. Mapa, & S. J. Khan. Radio Frequency Identification (RFID) Tag Detection in 3-D.Proceedings of the 2016 American Society for Engineering Education Annual Conference &Exposition, June 26-29, 2016, New Orleans, Louisiana[3] T. Kim, L. Mapa, D. Ramamurthy and F. Goni (2017) Investigating the effect of temperaturein RFID Technology, ASEE, 2017, Paper ID # 18531.[4] L. Mapa, & R. Gummereddy. Effect
empowered by anunderstanding of the basic underlying physical meaning of the design equations and methods, theywill be much better equipped to tackle updated versions throughout their careers.The author has approached lectures in this way with excellent feedback from students. Examplestudent feedback include comments like: “[the instructor] explains complicated topics and concepts using pictures, drawings and example[s]…” “… [the instructor] tries to make everyone think about the concept behind the equations, instead of just plugging and chugging numbers…” “… [the instructor] encourages students to graph and look at trends and realize what is actually going on…” “Does a good job teaching concepts and how material applies
NCSES.11. U.S. Census Bureau. 2015. 2014 American Community Survey. Accessed from StevenRuggles, Katie Genadek, Ronald Goeken, Josiah Grover, and Matthew Sobek. Integrated PublicUse Microdata Series: Version 6.0 [Machine-readable database]. Minneapolis: University ofMinnesota, 2015.12. Tauriac, J. and Liem, J. “Exploring the divergent academic outcomes of U.S.-origin andimmigrant-origin Black undergraduates” J Divers High Educ. 2012 Dec; 5(4):10.1037/a0030181.13. Foner, N. (2001) “Comparative Perspectives on Immigrants in New York -- Across Time andSpace” dev.wcfia.harvard.edu/sites/default/files/NFoner_comparative.PDF14. Hughes, E. C. (1945). Dilemmas and contradictions of status. American Journal ofSociology, 50(5), 353-359.15. Massey, D. S
programs. Differentexperiences, values, beliefs, and attitudes that are a result of the intersection of multipledimensions of identity are allowed to naturally separate themselves. Furthermore, using thisprofile analysis allowed for new patterns to emerge that would have been previouslyoverlooked. For example, if two groups of respondents were distinct from each other in theattitudinal map but were similar along all measured axes of diversity (e.g., gender andrace/ethnicity), it is a signal that the separation between the groups is the result of anintersection with some unconsidered dimension(s) of attitudes or personal characteristics.Because TDA does not presuppose the qualitative or demographic information about thestudents it analyzes, the
education, and educational psychology, as well as an external evaluator and an advisory board member on several NSF-funded projects (CAREER, iCorps, REU, RIEF, etc.). c American Society for Engineering Education, 2018 Paper ID #23514Dr. Jacques C. Richard, Texas A&M University Dr. Richard got his Ph. D. at Rensselaer Polytechnic Institute, 1989 & a B. S. at Boston University, 1984. He was at NASA Glenn, 1989-1995, worked at Argonne National Lab, 1996-1997, taught at Chicago State University, 1997-2002. Dr. Richard is a Sr. Lecturer & Research Associate in Aerospace Engi- neering @ Texas
activity conducted over two consecutive course periods, students, in teams, choosefrom a list of articles about different types of technologies, such as a bridge, a GPS app, airconditioning in office buildings, and airbags. Many of the articles were non-academic includingsome blogs. Our intent here was to push students to not only be able to discern the key points theauthor(s) raise(s) and what information and evidence (or lack thereof) is used to support theirclaims, but also critically consider what the stance of the author is and how this might havecolored his/her assumptions and viewpoint.After evaluating the article as a whole, students are asked to analyze the technology itself andcreate a single presentation slide to summarize their
-act-is-now?cid=other-eml-alt-mip-mck-oth- 1801&hlkid=f8917367b4da4431926eb0f50b515749&hctky=1575970&hdpid=094bf139- fd76-400b-8896-e6caf6e19d81Bureau of Labor Statistics. (2017). News Release from BLS, US Department of Labor. Retrieved from https://www.bls.gov/news.release/pdf/osh.pdfCarson, R. (1962). Silent Spring, Houghton Mifflin, Boston, MACastellanos, S. (2018). Smart Elevators, Self-Driving Cars Require More Computing Power at Network’s Edge. The Wall Street Journal. Retrieved from https://blogs.wsj.com/cio/2018/01/02/smart-elevators-self-driving-cars-require-more- computing-power-at-networks-edge/Cisco. (2017). Cisco Announces $1 Billion Program for Smart Cities. Cisco the Network
). Epistemic practices of engineering for education. Science Education, 101(3), 486-505.[2] Deniz, H., Yesilyurt, E., Newman, J. S., & Kaya, E., (in press). Towards Defining Nature of Engineering in the Next Generation Science Standards Era. Critical Issues in STEM Education.[3] Hartman, B., & Bell, R. L. (2017, June), Teaching the Nature of Engineering in K-12 Science Education: A Delphi Study (Fundamental) Paper presented at 2017 ASEE Annual Conference & Exposition, Columbus, Ohio. https://peer.asee.org/28927[4] Karataş, F. Ö., Bodner, G. M., & Unal, S. (2016). First-year engineering students' views of the nature of engineering: implications for engineering programmes. European Journal of
dimensionsubgroups at each peer rating event. Table 3 Self-rating and Peer-rating Across Dimension (Convergence) ANOVA Analysis Intervention Peer Difference P-value Effect Size Difference P-value Effect Size Review Mean (Cohen's d) Dispersion (Cohen' s d) Time CD = 0 1 -0.5175 = 22 1 -0.4292 = 22 2 -0.00952 0.9098 .0287 .005837 .8835 .0309CD >= 22 3 0.02424 0.7729 .0041
the general instructional objectives of thefreshman course.The project was titled “Introduction to Big Data Analytics: Analyzing Tweets with Matlab”. Theinstructor provided the students with a Matlab code that was designed to facilitate applyingSentiment Analysis to tweets. For example, the code can be used to (1) identify tweets thatcontain one or more specific keywords and (2) create a histogram of words used in these tweets,in order to identify recurring themes in tweets that mention the keyword(s). The final deliverablefor the project was a report in which students detailed how they used the Matlab code to answer anumber of open-ended questions, as well as an introductory section in which students discussedthe importance and applications
an Analytic Lens. Journal of Research in Science and Teaching 2007, 44, 1187-1218. 2. Meyers, K. L.; Ohland, M. W.; Pawley, A. L.; Silliman, S. E.; & Smith, K. A. Factors relating to engineering identity. Global Journal of Engineering Education 2012, 14 (1), 119-131. 3. Ohland, M. W.; Sheppard, S. D.; Lichtenstein, G.; Eris, O.; Chachra, D.; & Layton, R. A. Persistence, Engagement, and Migration in Engineering Programs. Journal of Engineering Education 2008, 97 (3), 259- 278. 4. Meyer, M.; Marx, S. Engineering Dropouts: A Qualitative Examination of Why Undergraduates Leave Engineering. Journal of Engineering Education 2014, 103 (4), 525-548. 5. Godwin, A.; Potvin, G.; & Hazari, Z. The Development
styles, and academic integrity.To build an effective supervisory relationship, first a workshop on Life as a graduate student isoffered. Students hear from senior graduate students on the challenges, opportunities, andsupport throughout grad studies. Additional topics of discussion include: 1) how to keep a happyand healthy life style, 2) where to get help? and 3) what are the opportunities for leadership orscholarship? The discussions are conducted in round table groups to provide an open format.The second workshop focuses on the supervisory relationship. This workshop is designed toteach students on their responsibilities as graduate students, and to give them a toolkit to build asuccessful relationship with their supervisor(s)/academic
Paper ID #15214Experiential Learning in the Thermal Sciences: Introducing and ReinforcingFundamental Thermodynamics and Heat Transfer Principles to K-12 andEngineering Undergraduate StudentsDr. Arden Moore, Louisiana Tech University Dr. Moore graduated with his B. S. in mechanical engineering from Louisiana Tech University in 2001, followed by his Master’s and Ph. D. degrees in mechanical engineering from the University of Texas at Austin in 2007 and 2010, respectively. During his time in graduate school he worked in the fields of thermoelectric nanostructures, nanoscale energy transport physics, and advanced thermal
develop andrecognize one’s own self-regulation in learning and teaching.ACKNOWLEDGMENT This material is based upon work supported by the National Science Foundation underGrant No. 1148806. Any opinions, findings, and conclusions or recommendations expressed inthis material are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.Bibliography[1] ABET - Engineering Accreditation Commission, “Criteria for Accrediting Engineering Programs: Effective for Reviews During the 2015-2016 Accreditation Cycle. November, 2014[2] Zimmerman, B. J., “Becoming a Self-Regulated Learner: An Overview.” Theory into Practice, vol. 41, no. 2, pp. 64-70, 2002.[3] Zimmerman, B. J. Attaining self
is more value in gaining such information by exploring these researchvenues. Research which is conducted by visiting the site is known as field research2. It consist ofparticipant observation, interviews and document analysis as seen in figure 17. Field research canbe very exciting and rewarding and at the same time extremely overwhelming. It is important toknow what kind of information needs to be collected at the time of such research. Since the fieldis full of stories and actions, one can easily become lost in the scenario, hence having a biggerpicture and focusing on the specific research question(s) is a very important component of thefield study2. However, one cannot neglect important relevant incidents and make an informedapproach
applications, which are designed for end-users and delivered over the web. Therefore, Cloud Consumers are able to use online applications. In this level of service model, Cloud Consumers need to be authorized to use provided online applications [3].NIST has published its Cloud Computing Reference Architecture in the Special Publication SP500-292. In the presented Architecture, NIST tries to provide an easy way of understanding theoperational intricacies in Cloud Computing [2]. There are five different parts in the NIST CloudComputing Reference Architecture, which are Cloud Consumer, Cloud Provider, Cloud Auditor,Cloud Broker, Cloud Carrier [4].Chandramouli, R., Iorga, M., and Chokhani, S. (2014) discussed cryptographic key managementissues
. Our future work will include further refinement of the model as ourstudy reaches theoretical saturation. Additionally, we have begun to interview students thatparticipated in non-curricular activities and attended a Historically Black College or Universityin order to compare and contrast the experiences of African American students in differentcollege settings.AcknowledgmentsThis material is based upon work supported, in part, by the National Science Foundation, undergrant EEC-1159813. Any opinions, findings, and conclusions or recommendations expressed inthis material are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.References
. Thank you to Dr. Dawn Martin and the rest of the NASA team who made theexperience at Kennedy Space Center a life time experience. Page 26.529.12Bibliography1. Blanchard, S., Egiebor, N., Sweeney, J., Zidek, L., Sechrist, C., Hulbert, S., Osborn, J., O’Neill, R. “Blank Slate Engineering at Florida Gulf Coast University – Innovative and Multidisciplinary from the Ground Up”. Proceedings of the 2006 ASEE Annual Conference and Exposition, June, 2006.2. Villiers, C. “Fostering Excellence in High School Students Exposed to Applied Mathematics and SAT Prep Summer Program,” Proceedings of the 2010 ASEE Annual Conference &
. The authors plan to verify such results in a futurestudy with a large sample size. The survey asked that faculty members answer the questions byplacing an X on the line for all options that may apply. The first two questions asked the facultyabout their teaching rank and work status. Faculty responded included eight full professors, fourassociate professors and three assistant professors. Eleven faculty members identified their workstatus as full-time, tenured. The other four faculty members are full-time, tenure-track.Question three asked the faculty to state the reason(s) for pursuing a teaching career in theUnited States. Figure 1 shows that professional development is the leading reason attractinginternational faculty, especially those
Paper ID #13185Making practical experience: Teaching thermodynamics, ethics and sustain-able development with PBL at a bioenergy plantDr. Darinka del Carmen Ramirez, ITESM (Tecnol´ogico de Monterrey) Ph. D. Darinka Ram´ırez is a professor at the Chemical Engineering department of ITESM (Tecnol´ogico de Monterrey), Campus Monterrey, Mexico. She has a B. S. in biochemical engineering at IT La Paz, M. S. in chemical engineering at Tecnol´ogico de Monterrey, and Ph. D. in Educational Innovation also at Tecnol´ogico de Monterrey. She teaches mainly Material Balances, Energy Balances and Thermodynamics to undergraduate students