/dissemination outlets and topics (at the local level and beyond)and to strengthen collaboration between engineering and education faculty and students as far asresearch goals (such as how a working group can facilitate research collaborations). Thecollaboration is cross-disciplinary. The members of the working group include individuals fromEngineering, Education, and Family Studies and Human DevelopmentThe chair of the working group usually generates ideas and facilitates meetings between theworking group members and the faculty member(s). Specific ideas for writing and organizingabstracts come from the group members as well as the chair. This group has meetings scheduledfor the spring semester to divide work among members based on their preferred
opportunities. Although not identical, these IRES programs both presentunique opportunities to develop both students’ cultural and research skills as well as theirpersonal interests, goals, and professional skills.AcknowledgementsThis material is based upon work supported by the National Science Foundation under GrantsNo. 1658620 and No. 1658604. 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.References[1] D. Bremer, “Engineering the world,” Online J. Glob. Eng. Educ., vol. 3, no. 2, pp. 13–18, 2008.[2] A. Parkinson, “The rationale for developing global competence,” Online J. Glob. Eng. Educ., vol. 4, no
. D. MacMillan, “An evaluation of the supplemental instruction programme in a first year calculus course,” International Journal of Mathematical Education in Science and Technology, vol. 39, no. 7, pp. 843-855, 2008.[5] C. S. Ticknor, K. A. Shaw, and T. Howard, “Assessing the impact of tutorial services,” Journal of College Reading and Learning, vol. 45, no. 1, pp. 52-66, 2014.[6] F. Duah, T. Croft, and M. Inglis, “Can peer assisted learning be effective in undergraduate mathematics?,” International Journal of Mathematical Education in Science and Technology, vol. 45, no. 4, pp. 552-565, 2014.[7] R. L. Shapiro, E. O. Wisniewski, E. Kaeli, T. B. Cole, P. A. DiMilla, and R. Reisberg, “Role of gender
parents have not completed their H.S. education. Childs participation in some college, when parent(s) have a bachelor’s degree or more is 87%. Childs participation in some college, when parent(s) did not complete High School is 47%.The Winds of ChangeThe winds of change are blowing the sands of time through the pages of history; as the sayinggoes. We are standing at the precipice of seismic shifts in national and international highereducation and public institutions of higher education in particular. The U.S. economy is stuck inneutral since the last recession [8, p.1], tuition prices are skyrocketing, student loan debt hassurpassed $1.5 trillion [15, p. 1], parents – who have leveraged their homes through equity loansand second
, international relations in the sphere of transport communications, iternational logistics and supply chain management, sustainable development and ecology.Mrs. Karalyn Clouser, Western Transportation Institute at Montana State University Karalyn Clouser is a GIS and planning specialist with the Western Transportation Institute. She has expe- rience editing and managing spatial data to support transportation planning and implementation projects, and offers skills with numerous GIS tools and platforms. At WTI, she has provided GIS and planning support to the Paul S. Sarbanes Transit in Parks Technical Assistance Center, which assists with the de- velopment of alternative transportation on federal lands. Her experience includes
detection. In addition, a study on the trends of curiositylevels across the different lab’s QFT data may yield insight into whether students are improvingin their critical thinking skills and developing more curiosity in exploring a provocative orchallenging statement. We also plan to continue work with studying curiosity detection withother learners, other data mining schemes, investigating linguistic text mining methods, andother QFT or question-based datasets.References[1] D. L. Schwartz, J. M. Tsang, and K. P. Blair. The ABC’s of How We Learn: 26 Scientifically Proven Approaches, How They Work, and When to Use Them. W. W. Norton & Company, Inc., New York, NY, 2016.[2] M. J. Kang, M. Hsu, I. M. Krajbich, G. Loewenstein, S. M. McClure
. structure oversees 5-18 peer tutors. tutors from that department. Central program director oversees departmental managers and cross-departmental activities. Composition of peer Graduate students and Graduate students and Undergraduate students coaching team postdocs postdocs Location of dedicated At least one designated One designated office Conference room in coaching space(s) room within each space campus makerspace
, provided regular consultations and also joined the UM team at Olin College’s 2017 Collaboratory Summer Institute. Gemma is a recent graduate from the MSc Digital Education program at the University of Edinburgh.Dr. Ines Basalo, University of Miami Dr. Basalo is an Assistant Professor in Practice in Mechanical and Aerospace Engineering at the Uni- versity of Miami. Prior to joining the University of Miami in 2014, she worked as an adjunct professor at Columbia University and the Cooper Union in New York City. She received her PhD from Columbia University in 2006, where her research focused on the mechanical and frictional properties of articular cartilage. Dr. Basalo ’s teaching experience includes Thermodynamics
Attrition inEngineering, Journal of Engineering Education, 87(2), 133-141.Kiyama, J.M., Luca, S.G., Raucci, M., & Crump-Owens, S. (2014). A cycle of retention:Peer mentors’ accounts of active engagement and agency. College Student AffairsJournal, 32( 1), 81-95.Mosher, G.A. (2017). Professional Advisers in engineering and technologyundergraduate programs: Opportunities and challenges. The Journal of TechnologyStudies, 43( 1), 26-34.NSF (2015). Women, Minorities, and Persons with Disabilities in Science andEngineering 2015. National Center for Science and Engineering Statistics Directoratefor Social, Behavioral and Economic Sciences. Retrieved fromhttp://www.nsf.gov/statistics/2015/nsf15311/digest/nsf15311-digest.pdfPittsburgh
theory can guide the developmentand implementation of beneficial changes.AcknowledmentThis material is based upon work supported by the National Science Foundation under Grant No.EEC-1329224. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation.References1. Clough, G.W., The engineer of 2020: Visions of engineering in the new century. National Academy of Engineering, Washington, DC, 2004.2. Dryburgh, H., WORK HARD, PLAY HARD Women and Professionalization in Engineering—Adapting to the Culture. Gender & Society, 1999. 13(5): p. 664-682.3. Faulkner, W., Dualisms, hierarchies and gender in
, profession-based, industry andsociety level abstract learning objectives is surprisingly short. It is as close as your closeststudent. SBL is focusing on student’s knowledge, skills and self-awareness capabilitiesthrough its methodology. It is not a substitute for engineer´s disciplinary knowledge. It ispart of “software” that runs the engineering skills through making the student morecapable in creating and sharing her passion, vision and thoughts in a group of people.Though not listed directly in the ABET criteria1, 16 document we believe that thesequalities are part of the key skill set in creating sustainable engineering, coming up withnew ventures, commitment to life long learning, and simply fostering ethical andcommitted individuals to the
world. Retrieved from The Telegraph: http://www.telegraph.co.uk/news/science/large-hadron-collider/3351899/Large- Hadron-Collider-thirteen-ways-to-change-the-world.html4. Khan, S., & Kissick, B. (2008). Beating the Competition Down with the Stick of Education: A Winning Strategy for a Global World. AC 2008-2662, (p. 9).5. Esparragoza, I., Larrondo Petrie, M. M., Jordan, R., & Paez Saavedra, J. (2007). Forming the Global Engineer for the Americas: Global Educational Experiences and Opportunities Involving Latin America and the Caribbean. AC 2007-576, (p. 20).6. Esparragoza, I., Larrondo, M., & Sathianathan, D. (2008). : Global Engineering Education in the Americas
://www.californiacommunitycolleges.cccco.edu/Portals/0/StudentSuccessTaskForce/SSTF_FinalReport_We b_010312.pdf3. Dunmire, E., Enriquez, A., and Disney, K. (2011). The Dismantling of the Engineering Education Pipeline, Proc. 2011 Annu. Conf. ASEE.4. Schroeder, C., Scott, T., Tolson, H., Huang, T., & Lee, Y. (2007). A meta analysis of national research: Effects of teaching strategies on student achievement in science in the United States. Journal of Research in Science Teaching, 44(10), 1436–1460.5. Smith, K., Sheppard, S., Johnson, D., & Johnson, R. (2005). Pedagogies of engagement: Classroombased practices. Journal of Engineering Education, 94(1), 87–101.6. Menekse, M., Stump, G., Krause, S., & Chi, M.T.H. (2013). Differentiated overt
teamwriting team, review a test led to team used contributed test preferably not the coordinator. long and questions, but were ultimately This team should create the unproductive responsible for creating and solutions and rubrics for grading discussions. printing the final version(s) of its the tests as part of the test design. assigned test. Instructors who Any instructor could express Provide a deadline for comments weren’t directly concerns about any questions that prior to review by the test creation involved in had been submitted to the Google team and then
, 2004.5. Toohey S., "Designing courses in Higher Education", Buckingham, UK: SRHE and Open University Press, 1999.6. F.P. Deek, F.P., Kimmel, H., & McHugh, J., “Pedagogical changes in the delivery of the first course in computer science: Problem solving then programming”, Journal of Engineering Education, 87, 3, pp. 313-320, July 1998.7. Meier, R.L., Williams, M.R., and Humphreys, M.A., “Refocusing our efforts: assessing non-technical competency gaps”, Journal of Engineering Education, 89, 3, pp. 377-385. 2000.8. Massa N.M., Masciadrelli G.J, Mullett G.J., " Re-Engineering Technician Education for the New Millennium ", Proceedings of ASEE AC 2005-504.9. Bransford, J. D., Donovan, M. S., Pellegrino, J. W., (Eds.), How People Learn
profiles16,15, language recognition with the study ofspecific patterns from bilingual speakers17, classification of species, and many otherdisciplines including medicine, biology, image classification, speech recognition, computerscience, insurance, among others18,19.K-Means algorithmK-Means is a partition-based clustering algorithm that takes as input parameters a set S ofentities and an integer K (number of clusters), and outputs a partition of S into subsets S1,...,Skaccording to the similarity of their attributes20. Although there are several different variationsand optimizations of K-Means algorithm21, this paper is focused on its four methods (Lloyd,Forgy, MacQueen and Hartigan-Wong).The estimation of the number of clusters in a data collection
and build the "Bombe," a machine that was successfully used by the United States during the war to analyze and “crack” encoded communication messages from the German Naval Enigma machine. While Desch’s work and contributions to the design and manufacturing of such machines led him to be awarded the Presidential Medal for Merit by President Harry S. Truman in 1947, it was not until 1992 that this work was declassified. 8|P a g e In this interview, Anderson discusses her life and career, such as the difficulties of being a woman in the STEM fields. Although not of a STEM profession, she provides encouragement to continue
characterized as a heterogeneous formof communication that leveraged programming and other forms of content expertise as“linguistic resource[s].” 5, 20 These two studies, therefore, challenged the mutual exclusivity oftechnical and social practices under the technical/social dualism and thus highlighted theheterogeneity of the actual engineering practice.Looking across the division of labor literature, scholars illustrate the co-production of gender andtechnology (including engineering) via the technical/social dualism while disrupting how, asBuck and colleagues described, “organizational structures and occupational ethos of engineeringperpetuate this co-constituency.” 2 This body of literature also empirically and conceptuallyadvanced Faulkner’s call
student population as part of a survey conductedfor all students at our home institution, and to enhance participation as much as possible.Acknowledgements: Page 26.25.13 Financial support for this program came from Armour College of Engineering, PritzkerInstitute of Biomedical Science and Engineering, Wanger Institute for Sustainable EnergyResearch (WISER), and Carol and Ed Kaplan (endowed fund to Armour College).Bibliography1. Boyer Commission. (1998). Reinventing undergraduate education: A blueprint for America’s research universities. Stony Brook, NY: State University of New York.2. Smith, S. J., Pedersen-Gallegos, L
Satisfied (5) to Very Dissatisfied (0). **Percentage responding yes.Faculty comments provided to the open-ended questions were also very positive. When asked tocomment what s/he thought was the most valuable outcome of group interaction from the lunchseries, one faculty member answered “Meeting other faculty especially from other departments.Also, the more experienced faculty have provided great support and insight into how to getthings done at OU.” Other faculty members stated “Information gathering. Resources that arealready in place on campus [are] not easy to find online - therefore, the interaction makes it [an]information gathering channel” and “Meeting the other faculty and staff because then I had an
, Australia, 1989.2. Diamond R.M., " Designing and Assessing Courses and Curricula: A Practical Guide " San Francisco, CA: Jossey-Bass,1997.3. Fink L.D., "Creating Significant Learning Experiences: An Integrated Approach to Designing College Courses", San Francisco, CA: Jossey-Bass, 20034. Saroyan A., Amundsen C., "Rethinking teaching in higher education: From a course design workshop to a faculty development framework", Sterling, VA, Stylus Publishing, LLC, 2004.5. Toohey S., "Designing courses in Higher Education", Buckingham, UK: SRHE and Open University Press, 1999.6. F.P. Deek, F.P., Kimmel, H., & McHugh, J., “Pedagogical changes in the delivery of the first course in computer science: Problem solving then programming”, Journal of
changing in the future would be to focus more on directexamples of technologies useful in the green design field. However, this is a model that we willcontinue to implement and would recommend to others.References:[1] M. Rickinson, C. Lundholm, and N. Hopwood, Environmental Learning: Insights from research into the s tudent experience, 2010 edition. Dordrecht ; New York: Springer, 2009.[2] U.S. Environmental Protection Agency. Definition of Green Building. http://www.epa.gov/greenbuilding/pubs/about.htm; Accessed Jan 02/2015.[3] Smith, G. Sustainability and Schools: Educating for Interconnection, Adaptability, and Resilience. The Journal of Sustainability Education; Vol. 8, 2010[4] “Stockholm 1972
choice question, detailing chapter aspect of this feedback with appropriate page#, location on chapter to test the explanation(s) that feedback page etc.; reader's help explain why explanations, and a understanding, with the distractor photocopy for the one correct choice choices are tutor, on another and three incorrect, and aspect of the "distractor" - explain why the
Paper ID #11864Mapping Student Development in Culturally Contextualized DesignLaura S´anchez-Parkinson, University of Michigan Laura S´anchez-Parkinson is a Research Assistant for the Office of the Provost, Global and Engaged Ed- ucation at the University of Michigan (U-M) and a Program Coordinator at the National Center for In- stitutional Diversity. She holds a B.A. in Organizational Studies and Sociology and a M.A. in Higher Education Management and Organizations from the U-M. Her research focuses on organizational change by exploring deep-seated inequalities at colleges and universities to promote positive change for
Page 26.1512.4themselves while earning engineering degrees in various disciplines were compared to those ofstudents earning degrees in physics, chemistry, math, economics and psychology at the sameinstitution. Inclusion of these degrees was informed by the University of Colorado Boulder (CUBoulder)’s 20-year historical trends of the degrees students earn when they leave the College ofEngineering and Applied Science (CEAS), but continue on to earn university degrees. The topmajors of those students who earn degrees outside of the CEAS, who were in the college at sometime are: 1. economics, 2. finance, 3. psychology, 4. integrative physiology, 5. biochemistry, and6. math. Of those, economics and psychology were chosen for the study because they
. Perry, W. G., Forms of Intellectual and Ethical Development in the College Years – A Scheme, New York: Holt, Rinehart and Winston, 1968, 1970. 2. Guttenplan, D. D., “Measuring the Wealth Effect in Education”, in The New York Times, 12/1/2013, http://www.nytimes.com/2013/12/02/world/europe/measuring-the-wealth-effect-in-education.html? , (accessed 1/26/2015). 3. Strauss, S., “The Connection Between Education, Income Inequality, and Unemployment”, in The Huffington Post, 1/2/2012, http://www.huffingtonpost.com/steven-strauss/the-connection-between- ed_b_1066401.html , (accessed 1/26/2015). 4. Morse, R. and M. Foster, “How U.S. News Calculated the Best Global Universities Rankings”, in US News
, Hocevar D, Hagedorn LS. A social cognitive construct validation: Determining women’s and men's success in engineering programs. J Higher Educ. 2007;78(3):337-364.4. Vogt C. An account of women’s progress in engineering: A social cognitive perspective. J Women Minor Sci Eng. 2003;9(3&4):217-238.5. Zeldin AL, Pajares F. Against the Odds: Self-Efficacy Beliefs of Women in Mathematical, Scientific, and Technological Careers. Am Educ Res J. 2000;37(1):215-246.6. Lent R, Brown S. Cognitive assessment of the sources of mathematics self-efficacy: A thought-listing analysis. J Career Assess. 1996;4(1):33-46.7. Seymour E, Hewitt NM. Talking About Leaving: Why Undergraduate Leave the Sciences. 12th ed. Boulder, CO
control. Dr. Rodriguez has given over 70 invited presentations - 13 plenary - at international and national forums, conferences and corporations. Since 1994, he has directed an extensive engineering mentoring-research academic success and professional development (ASAP) program that has served over 500 students. These efforts have been supported by NSF STEP, S-STEM, and CSEM grants as well as industry. Dr. Rodriguez’ research inter- ests include: control of nonlinear distributed parameter, and sampled-data systems; modeling, simulation, animation, and real-time control (MoSART) of Flexible Autonomous Machines operating in an uncertain Environment (FAME); design and control of micro-air vehicles (MAVs), control of bio