knowledge inpractical applications, engineering applications were introduced to the student activity.Students agreed (on a yes/no scale, with 93.3% agree, n=15) to the statement that thismodel “help[s] you to understand the role of mathematics in physics and engineering”.The more surprising result was that students also agreed (73% agree, n=15) to thestatement that the co-teaching model “help[s] you to be successful in this calculuscourse”, when the applications are in the pre-calculus level. Attitudinal data will continueto be tracked for the rest of this academic year. Grade Distribution A baseline measurement through the X Calculus Readiness test is used to measurethe mathematics aptitude of students getting into calculus. The one
higher response rates. Atthis institution, simple acknowledgement of those degree programs with 100% response rates inthe foreword to the summary report and in a meeting of department chairs motivates those withhigh response rates to continue their efforts in the following year. Embarrassment of thoseprograms with lower response rates motivates increased efforts in the following year to improveresponse rate.Finally, for the last two years, an anonymized summary of the survey results has been publishedonline and advertised to current students. Students have thus been able to access informationvaluable to them such as what companies have just recently employed graduates from theirmajor(s), what graduate and professional schools have admitted
and construction industry. Page 24.272.1 c American Society for Engineering Education, 2014 Changing the Course Design to Include Habitat for Humanity Improved Course Outcomes and Broadened Student’s Perceptions of Community ServiceIntroductionArchitectural education often includes course(s) pertaining to the creation of architecturalworking drawings. Working drawings require the individual creating them to have knowledge ofprinciples, conventions, standards, applications, and restrictions pertaining the manufacture anduse of construction materials, components
: Studio STEM Thanks to our Sponsors! This material is based upon workResearch-based supported by the National Science Foundation (NSF) under Grants DRL 1029756 and 1247287. Any opinions, findings, conclusions or Research about student science recommendations expressed in this learning, motivation to learn material are those of the author(s) STEM concepts, engineering design
undergraduate students. Current graduate students: • Yanshu Li, from F’2012, GRA, Ph.D. Student, SUNY at Buffalo, Buf- falo, NY. • Tim Yore, from S’2011, GRA, Ph.D. Student, SUNY at Buffalo, Buffalo, NY. • Guillaume Thomain, S’2011, GTA, Ph.D. Student, SUNY at Buffalo, Buffalo, NY Total number of graduate students advised = 22. Total number of postdoctoral scholars sponsored = 11.Prof. Athos Chariton Petrou, SUBY at Buffalo Athos Petrou is a professor of Physics at SUNY Buffalo. His studies the magneto-optical properties of semiconductor nanostructures Page 24.659.1 c American Society for
and retention. A SWE and ASEE Fellow, she is a frequent speaker on career opportunities and diversity in engineering. Page 24.1275.1 c American Society for Engineering Education, 2014 Transfer Students: Lessons Learned Over 10 YearsAbstract.This paper will summarize the accomplishments of an NSF sponsored S-STEM program fortransfer students. This program had 97 students: 41.2% underrepresented minority, 28.9%female, and 60.8% either female and/or underrepresented minority. Therefore, this programoverrepresented minority engineering and computer science students in the university by
each student population.ReferencesAdelman, C. (1998), Females and Men of the Engineering Path. A Model for Analysts of Undergraduate Careers, U.S. Department of Education, Office of Educational Research and Improvement, Washington, D.C.; U.S. Government Printing Office.Bransford, J., A. Brown, and R. Cocking (Eds) (2000), How People Learn: Brain, Mind, Experience, and School: Expanded EditionBrown, S., L Flick, and T. Fiez (2009), “An Investigation of the Presence and Development of Social Capital in an Electrical Engineering Laboratory”, Journal of Engineering Education, 98(1). 93-102.Bordonaro, M., A. Borg, G. Campbell, B. Clewell, M. Duncan, J. Johnson, K. Johnson, R. Matthews, G. May, E. Mendoza, J. Sideman, S. Winters, and C
Paper ID #9827Utilizing Think-Aloud Protocols to Assess the Usability of a Test for EthicalSensitivity in ConstructionMr. Kenneth Stafford Sands II, Virginia Tech Kenneth S. Sands II is a doctoral candidate and graduate assistant in Environmental Design and Planning at Virginia Tech. His research focus is on professional ethics and its pedagogy.Dr. Denise Rutledge Simmons, Virginia Tech Denise R. Simmons, Ph.D., is an assistant professor in the Myers-Lawson School of Construction & Civil and Environmental Engineering at Virginia Polytechnic Institute and State University. She holds a B.S., M.S., and Ph.D. in civil
-the- Nation.pdfCullum, J., Hailey, C., Householder, D., Merrill, C., & Dorward, J. (2008). Formative evaluation of a professional development program for high school teachers infusing engineering design into the classroom. Paper presented at the meeting of the American Society for Engineering Education, Pittsburgh, PA.Donna, Joel D. (2012) A model for professional development to promote engineering design as an integrative pedagogy within STEM education. Journal of Pre-College Engineering Education Research (J-PEER), 2(2), Article 2. Downloaded from http://dx.doi.org/10.5703/1288284314866Garet, M. S., Porter, A. C., Desimone, L., Birman, B. F., & Yoon, K. S. (2001). What makes
the best word(s) to branch on at each point to reduce the overall error. The result tends to be a more accurate tree (as each branching word is explicitly chosen to reduce the classification error), but for a non-‐trivial increase in the amount of time needed to identify the appropriate words. Each item took between 8 and 10 hours for this algorithm to identify the final
-course mod- ule focused on creativity and problem solving leadership and is currently developing a new methodology for cognition-based design. She is one of three instructors for Penn State’s Massive Open Online Course (MOOC) on Creativity, Innovation, and Change, and she is the founding director of the Problem Solving Research Group, whose 50+ collaborating members include faculty and students from several universities, as well as industrial representatives, military leaders, and corporate consultants.Dr. Senay Purzer, Purdue University, West Lafayette S¸enay Purzer an Assistant Professor in the School of Engineering Education and is the Director of As- sessment Research for the Institute for P-12 Engineering
Paper ID #9564CAREER: A Study of How Engineering Students Approach InnovationDr. Senay Purzer, Purdue University, West Lafayette S¸enay Purzer an Assistant Professor in the School of Engineering Education at Purdue University. In 2011, she received a NSF CAREER award, which examines how engineering students approach innovation. She is also a NAE/CASEE New Faculty Fellow. Purzer conducts research on aspects of design education such as innovation and information literacy.Mr. Nicholas D. Fila, Purdue University, West Lafayette Nicholas D. Fila is a Ph.D. student in the School of Engineering Education at Purdue University
similar ones. Where three scored problems in a common areaare assigned, the effect of voluntary un-scored practice is not enough to improve performance ona fourth scored problem, for which no practice is provided, regardless of how practice is 11provided. Given the voluntary nature of the practice problems studied here, and the ease withwhich they can be provided with systems such as PathFinder, their use is recommended,especially related practice problems. Future work can focus on more difficult problems. Studentscan be directly asked why they do or do not use practice problems.References1 Bonham, S. W., Deardorff, D. L., & Beichner, R. J. (2003). Comparison of student performanceusing web and
. Page 24.1181.8One initial clustering effort, based on student self-reports of physical and emotional statedemonstrates a strong relationship in outcomes and emotional state. While this is not necessarilysurprising this result raises questions about what responsibility do instructors have to identifystudents having emotional distress? And, once identified, what are the best strategies for dealingwith the students who score low in self reported wellness?ReferencesAnaya, A. R. and J. G. Boticario (2009). A Data Mining Approach to Reveal Representative Collaboration Indicators in Open Collaboration Frameworks. 2nd International Conference On Educational Data Mining. Cordoba, Spain.Baker, R. S. J. d. (2010). Data Mining. International
needed by a student or a researcher.15, 16There are a few simple steps to implement a remote laboratory (Figure 1): Figure 1: Basic concept of remote laboratories. a) The first and foremost thing is that the equipment should have interfaceability with a computer (or with a networked device) along with the ability to exchange its input(s) and output(s) as needed to perform experiments. b) The next required item is a local computer that will provide the processing requirement for an experiment along with hosting a graphical user interface (GUI). The GUI will allow a remote user to perform experiments using the local computer without any
ate upd rds A hea ccess processing nd n g a reco lth ing Data s i e car & es car e B upd Acc ealth
Paper ID #9828High School Students’ Attitudes to Engineering and Engineers related totheir Career ChoiceMrs. Adriana Anunciatto Depieri, University of Sao Paulo For almost 10 years I have worked as an assintant professor and since 2003, I have worked for the Brazilian Ministry of Science, Technology and innovation in the Popularization of Science and Technology issues. Besides policy formulation and implementation of programs to popularize S & T, we give support to improve science teaching in schools, in partnership with the Ministry of Education. Authorized by deads, I have dedicated most of time as a PhD candidate
responses. Results also indicate that both engineering andscience majors are relatively confident in their level of preparedness for future research, signifiedby means above 6.0 for nearly every preparedness item. Before the summer experience, sciencestudents perceived significantly higher (p = 0.0039) recognition from their mentor(s) ascompared to engineering students, whereas in every other aspect of science identity there wereno significant differences by major in either pre- or post-summer experience items. The resultssuggest that early-stage engineering students identify less with research compared to theirscience counterparts and, subsequently, feel less prepared to conduct research; however,participation in an interdisciplinary experience
, 2008).6 Computing Research Association. Cyberinfrastructure for education and learning for the future: A vision and research agenda. (Computing Research Association, 2005).7 Boyer, E. L. The Boyer Commission on Educating Undergraduates in the Research University, Reinventing undergraduate education: A blueprint for America's research universities. (Stony Brook, N.Y., 1998).8 Mitchell, W. J., Inouye, A. S. & Blumenthal, M. S. (National Academies Press, Washington, D.C., 2003).9 Barak, M., Lipson, A. & Lerman, S. Wireless laptops as means for promoting active learning in large lecture halls. Journal of Research on Technology in Education 38, 245-263 (2006).10 Barak, M. & Rafaeli
/s) and must decelerate to a speed of 220 mph (100 m/s) at landing. During re-entry, thenose and leading edges of the wings experience temperatures as high as 3000 °F (1650 °C).1One of the major decisions to be made during the shuttle development was the design for thebooster rockets. Options included using liquid or solid-fueled boosters, and whether the boosterswould be expendable or reusable. NASA believed that solid rocket boosters would be lessexpensive to develop, even though they had had higher projected operational costs than liquidboosters. The shuttle was the first manned spacecraft to use solid rockets.1 There is somespeculation that the Air Force pressured NASA to use solid fuel boosters because they wanted todevelop the
Research Questions Question(s) Qual Research Question Question Mixing in One Mixing in Two Mixing in Three Phases of Mixing No Mixing Phase Only Phases or More Phases Mention
Mailman and board chair Beth Kennedy for supporting thestudy. A special thank you to PedGames server administrator Hao Xu and to all of the PedGamesstudent programmers for their creativity, dedication and hard work.Bibliography1. Shaw, S., Boehm, Z., Penwala, H., and Kim, J., GameMath! Embedding Secondary Mathematics into a Game- Making Curriculum Proceedings of the American Society of Engineering Education, 2012.2. van der Meulen, R. and Rivera, J. (2013) Gartner press release. Online at http://www.gartner.com/newsroom/id/2614915.3. Moskal, B. and Skokan, C. (2007). An innovative approach for attracting students to computing: A comprehensive proposal. Online at http://www.nsf.gov/awardsearch
at the PetroleumInstitute.Once students reach the freshmen level there are core courses that have to be completedirrespective of their majors. The core course courses as well as some elective courses requiredfor the engineering programs are offered through the Arts and Science Program (A & S).The six departments within A & S include Mathematics, Physics, Chemistry, Humanitiesand Social Sciences, Communication, and General Studies (See Figure 1).. Students musttake these required courses in a sequence. Figure 1. The Petroleum Institute Academic Department StructureThe General Studies department offers a sequence of two engineering design coursescalled STEPS, which stands for Strategies
conceptual design for a Data Warehouse which would integrate the different data servers the company used. With i2 Technologies he led the work on i2’s Data Mining product ”Knowledge Discover Framework” and at CEERD (Thailand) he was the product manager of three energy software products (MEDEE-S/ENV, EFOM/ENV and DBA-VOID) which were/are used in Asian and European countries by both governmental and non-governmental organizations. Acharya has a M.Eng. in Computer Technology and a D.Eng. in Computer Science and Information Management with a concentration in knowledge discovery, both from the Asian Institute of Technology in Thailand. His teaching involvement and research interest are in the area of Software Engineering
laboratory-based solar and wind energy technology course. Anothercourse is an online general renewable energy course offered every summer session coveringmain renewable energy systems such as solar and wind energy, electric vehicles, hydrogen fuelcell systems, biomass, solar thermal energy, green building technology, etc.References[1] U.S. Department of Energy, Solar Instructor Training Network, South-Central Region.http://www.sitn-sc.org/about-us[2] IREC, Interstate Renewable Energy Council.http://www.irecusa.org/workforce-education/solar-instructor-training-network/[3] U.S. Department of Energy, SunShot Initiative.http://www1.eere.energy.gov/solar/sunshot/instructor_training_network.html[4] Pantchenko, O. S., Tate, D. S., OLeary, D., Isaacson, M
% Experience Prepared you 23.3% 23% 36.4 18% for graduate school Flexible 60% 20% 30% 10% requirement Pressure for 0 80% 10% 80% achievementsThe students and graduates agreed that the initial constraints were higher for industry projects,where internal clients were more willing to change them once they were set. In response to one Page 24.742.7of the survey questions that asked which type of project(s) (industry or internal) created the mostpressure to achieve the outcomes, more
: Messages for Improving Public Understanding of Engineering. Available: http://www.nap.edu/catalog.php?record_id=12187[3] S. M. Lord, "Work in Progress - Engineering students' disciplinary choices: Do race and gender matter?," in Proceedings of the IEEE/ASEE Frontiers in Education Conference, San Antonio, TX, 2009, pp. W1D-1 - W1D-2.[4] ASME Intl. (2013, March 30, 2013). About American Society of Mechanical Engineers - ASME. Available: https://www.asme.org/about-asme[5] B. L. Yoder. (2011, June 21, 2013). Engineering by the Numbers. Available: http://www.asee.org/papers- and-publications/publications/college-profiles/2011-profile-engineering-statistics.pdf[6] S. M. Lord, R. A. Layton, and M. W. Ohland
tragedies.References1. Daniell, James, and Armand Vervaeck. (2011). "Damaging Earthquake Database 2011- the Year in Review." CATDAT-Integrated Historical Global Catastrophe Database.2. OECD. (2008). "Costs of Inaction of Environmental Policy Challenges." Report ENV/EPOC(2007)17/REV2.3. Escaleras, M., N. Anbarci, and C. Register. (2007). "Public Sector Corruption and Major Earthquakes: A Potentially Deadly Interaction." Public Choice, Vol. 132, no. 1-2, pp. 209-30.4. Harajli, M. H., S. Sadek, and R. Asbahan. (2002). "Evaluation of the Seismic Hazard of Lebanon." Journal of Seismology, Vol. 6, no. 2, pp. 257-77.5. Elias, A., P. Tapponnier, S.C. Singh, G.C.P. King, A. Briais, M. Daeron, H. Carton, A. Sursock, E. Jacques, R
andstandard deviation in the grades to see if the test grades have changed with the introduction ofthe videos.Results Page 24.1253.4The first step was to evaluate the classes without videos (S12 and F12) against each other todetermine if there was a significant difference between the two classes. Then the two classestaught with the videos (S13 and F13) were evaluated to determine if those classes weresignificantly different. Table 1 shows the test averages and their corresponding standarddeviations. Table 1 Summary of Test Averages and Standard Deviations (s) Test 1 Test 1 Test 2
, and Mathematics) project, award number DUE-1140502. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the authors and do not necessarily reflect the views of the National Science Foundation.References[1] Elliott, S. and Kukula, E. (2007), The Challenges Associated with Laboratory-Based Distance Education, EDUCASE Quarterly, pp. 37-42.[2] Saleem, A. I. and Al-Aubidy, K. M. (2008), Mixed Reality Environment for Web-Based Laboratory Interactive Learning, International Journal of Online Engineering, 4(1), pp. 40-45[3] Gomes, L. and Bogosyan, S. (2009). Current Trends in Remote Laboratories, IEEE Transactions on Industrial Electronics, 56(12), pp. 4744-4756.[4] García