experience, living-learning communities, and persistence to graduation for students in science, technology, engineering, and mathematics programs.Michael Georgiopoulos, University of Central Florida Michael Georgiopoulos is a Professor in the UCF School of Electrical Engineering and Computer Science and the PI of the NSF-funded S-STEM program at UCF entitled the "Young Entrepreneur and Scholar(YES) Scholarship Program" as well as the NSF-funded STEP program entitled "EXCEL:UCF-STEP Pathways to STEM: From Promise to Prominence." Dr. Georgiopoulos' research interests lie in the areas of machine learning, neural networks, pattern recognition and applications in signal/image processing
AC 2010-894: A META STUDY OF DISCRETE EVENT MODELING ANDSIMULATION (DES) USED BY HEALTHCARE INDUSTRIESSamuel Guccione, Eastern Illinois UniversityThomas McDonald, Eastern Illinois University Page 15.52.1© American Society for Engineering Education, 2010 A Meta Study of Discrete Event Modeling and Simulation (DES) Used by Healthcare IndustriesIntroductionDiscrete event modeling and simulation (DES) is a popular tool in widely varying fields foridentifying and answering questions about the effects of changes on processes. Themanufacturing and business sectors have been using DES since the early 1980’s. Because ofissues related to economic and social
biophysics. AIChE J. 49,806-812.2. Lightfoot, E.N. and Moscariello, J.S. (2004). Bioseparations. Biotechnology and Bioengineering 87, 260.3. Bonnerjea, J., Oh, S., Hoare, M., and Dunnill, P. (1986). Protein purification: the right step at the right time.Bio/technology 4, 954.4. Ward, W.W., Swiatek, G.C., and Gonzalez, D.G. (2000). Green fluorescent protein in biotechnology education.Methods Enzymol. 305, 672-680.5. Bes, M.T., Sancho, J., Peleaot, M.L., Medina, M., Gomez-Moreno, C., and Fillat, M.F. (2003). Purification ofcolored photosynthetic proteins for understanding protein isolation principles. Biochem. Mol. Biol. Educ. 31, 119-122.6. Sommer, C.A., Silva, F.H., and Novo, M.R.M. (2004). Teaching molecular biology to undergraduate biologystudents
; The Effects of Visual Stimulus in the Classroom, PS Political Science and Politics, by way of Gregory Rittman – A Study of Student Attitudes Regarding the Use of Video as a Teaching Tool, ‗987 Timothy Gangwer, Visual Impact, Visual teaching, Using Images to Strengthen Learning, 20098 Gregory Rittman, A Study of Student Attitudes Regarding the Use of Video as a Teaching Tool, 19989 Dr Clive Young, Overview of Web-based Video in Education, VideoAktiv10 Katherine S. Cennamo, Increasing educational videos' effectiveness, Society for the Advancement of Education USA, Today, December 199511 Barbara Gross, Strategies for the use of video in the classroom from Tools for Teaching 200912 Barbara
, pp.1-5 (London, 9-12 Nov.2009).[5] F. Monrose, M. Reiter, and S. Wetzel (1999). Password Hardening Based on Keystroke Dynamics. Proc. of theACM Conference in Computer and Communications Security, pp: 73– 82.[6] F. Monrose, M. Reiter, Q. Li, and S. Wetzel (2001). Cryptographic key generation from voice. Proc. of the IEEESymposium on Security and Privacy.[7] F. Hao, and C. Chan (2002). Private key generation from on-line handwritten signatures. InformationManagement & Computer Security, 10(2): 159–164.[8] B. Chen, and V. Chandran (2007). Biometric Based Cryptographic Key Generation from Faces. Proc. of the 9thBiennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques andApplication, pp: 394
; The Effects of Visual Stimulus in the Classroom, PS Political Science and Politics, by way of Gregory Rittman – A Study of Student Attitudes Regarding the Use of Video as a Teaching Tool, ‗987 Timothy Gangwer, Visual Impact, Visual teaching, Using Images to Strengthen Learning, 20098 Gregory Rittman, A Study of Student Attitudes Regarding the Use of Video as a Teaching Tool, 19989 Dr Clive Young, Overview of Web-based Video in Education, VideoAktiv10 Katherine S. Cennamo, Increasing educational videos' effectiveness, Society for the Advancement of Education USA, Today, December 199511 Barbara Gross, Strategies for the use of video in the classroom from Tools for Teaching 200912 Barbara
across interventions withrespect to gender. The current investigation lays the foundation for such work and providesresearch based instruments to pursue these efforts.Bibliography[1] Arango, F., Aziz, E., Esche, S., and Chassapis, C., “A Review of Applications of Computer Games in Educationand Training,” Proceedings of the 2008 ASEE/IEEE Frontiers in Education Conference, October 2008, SaratogaSprings, NY.[2] Beheler, A., “Girls are IT - A Workshop for Recruiting Girls into Information Technology,” Proceedings of the2006 American Society for Engineering Education Annual Conference & Exposition, June 2006, Chicago, IL.[3] Beyer, S., DeKeuster, M., Walter, K., Colar, M., and Holcomb, C. 2005. Changes in CS students' attitudestowards CS over
, found that a third of the studentschose engineering due to the influence of a role model who often was a parent or very closerelative.Perceptions of the Engineering ProfessionSocial and employer perceptions of the engineering profession as an occupational group willundoubtedly affect students’ choice in their course of study. There have been a number ofstudies of the engineering profession and its discourse. The public perception of theengineering profession has long been problematic. Surveys conducted, in the United States,by the National Academy of Engineering13 showed that the engineering profession in the1980’s lacked identity, and that many people could not distinguish between engineers,technicians and scientists. These public attitudes
1 2Instructor 3 2 --- 1 1 2 3 1 1 5 1 --- ---Instructor 4 2 1 1 4 1 --- 1 --- --- 4 2 1Instructor 5 2 --- 3 3 1 ---Instructor 1’s Case:Instructor 1 believes that MEAs have the potential to change the way that engineering studentslearn to be engineers. He is particularly interested in how MEAs can facilitate ethics education inengineering and how
: • # of accidents (based on instructor • total # of chips observation) • minimum # of chips collected by an • # of chips collected by E-W individual approaches • maximum # of chip collected by an • # of chips collected by N-S individual approachesAt the end of each scenario these MOEs will be tabulated to demonstrate how well each level ofcontrol serves demand. See Table 1: Page 15.249.6Table: 1 Measures of Effectiveness for Each ScenarioScenario # Chips E- # Chips Tot
thhatthey pressumably had d a preexistinng inclinationn toward STTEM careers,, based on thhe fact that thheychose thiis course outt of all those offered by MGS M and byy their responnses to the pre-course pinterest surveys. s Tw wo example slides s from thhe second prresentation are a shown inn Figure 2. Figure 2. Example E sliddes from instrructor presenntation “Whhat is an Enggineer?”.The thirdd presentatio on was
Thesecond study, conducted by Korte et al. in 2008, looked at 17 new engineers at a large,international car manufacturer which they termed Big Car Company. Like Polach, they showedthat new engineers in this organization relied heavily on coworkers for help and that anunderstanding of the larger organization was crucial to the understanding of their own day-to-daywork.6 Viewing these findings in terms of supports and barriers, high-quality relationships withcoworkers and an understanding of “the big picture”6 could be considered supports for newengineers while the lack of either could be considered barriers. This paper applies the samesupport/barrier framework to Korte et al.’s original data set, consisting of interviews with 59 newengineers at four
in democracies’ primary social serviceof keeping its citizens alive. Page 15.477.16 Bibliography1 Foster, Richard S., and Francis P. Hoeber, "Limited mobilization: a strategy for preparednessand deterrence in the Eighties," Orbis 24 (1980: 451.2 Fierro, Eduardo. "Preliminary reconnaissance presentation about Haiti earthquake," at PacificEarthquake Engineering Research Center, University of California at Berkeley, 27 January 2010,available at http://peer.berkeley.edu/publications/haiti_2010/related_events_haiti.html, accessed8 March 2010.3 Bajak, Frank (Associated Press). "Chile was ready for quake, Haiti wasn't
defined self-regulated learningas “learning that results from students‟ self-generated thoughts and behaviors that aresystematically oriented toward the attainment of their learning goals” (p. 125). In addition,Bandura9 showed that self-efficacy beliefs impact performance because these beliefs representpeople‟s perception of their capabilities to perform a task at designated levels. These researchershave provided empirical data on causal or correlational relationships between self-efficacy andepistemic beliefs and self-regulated behaviors and performance in subjects such as mathematics5,10 .During problem solving, students assess the difficulty of the task while disambiguating theimportant from irrelevant information. According to Jonassen11
sources for engineering and technologyinformation. The paper is divided into five sections: J.B. Johnson: an Engineer, Scholar, Pioneerin Informatics and Humanist; The First Years up to the 1950’s; The Sixties and Seventies; The1980’s through 2009; and The Ei Village and its Creator John Regazzi. Each section describesmajor changes, improvements, management and editorial decisions introduced. It also presentssome information on the people that have made The Engineering Index (Compendex) a valuableresource such as J.B. Johnson, Bill M Woods, John E. Creps, and John Regazzi.IntroductionThe prominence of The Engineering Index as a technical and scientific information service hasbeing recognized through the years. In 1976, Mildren1 described it as
defined a series of objectives for adesign project than the designer- whether in a consulting office or in a classroom- want to findout what the customer really wants. Questions such as: what is an economic project? How doyou define the best design? What is a safe design? What are the factor(s) that will affect thedesign the most? Phrasing it differently, knowledge resides in the questions that can be asked andthe answers that can be provided (2) .A sequence of inquiry characterized by a hierarchy: certainquestions need to be asked and answered before other questions can be asked. There is a setprocedure which constitutes the inquiry process in an epistemological context. Taxonomies ofsuch a procedure or inquiry process have been extended to
- Objectives of the Experiment and the ProjectThe following major objectives were set at the inception of the project:1. To develop an experiment and project for a complete review and a better understanding of thestatistical parameters that may heavily influence the engineering/design decision making process.2. To create an opportunity for collaborative research and design efforts between undergraduateengineering student(s) and faculty.3. To design, produce, test, and optimize a cost-effective, reproducible apparatus withoutstanding features.4. To make all information necessary for fabrication of the apparatus and conducting theexperiment and the project available to engineering programs nationwide
, journals and funded projects. Engineering curricula are crowded, however, and leave little room for new courses. Beginning with the “writing across the curriculum” movement in the 1980’s, the literature reveals that many disciplines have mounted “across the curriculum” movements. These include writing, mathematics, critical thinking, citizenship, ethics and other fields. Given crowded engineering curricula, an “across the curriculum” approach is a logical means to address the need to add entrepreneurial thinking without adding additional courses. Measurement tools are a critical requirement to assess the efficacy or any curriculum intervention. This is especially true when dealing with a new and
electromagnetic problems, transient heat flow and solid state structural analysis using finite element routines, EMI and EMC characterization, S-parameter permittivity extraction routines, Synthetic Aperture Radar (SAR) design and data processing routines, and the use of Genetic Algorithms for antenna optimization. Dr. Baginski is a member of Eta Kappa Nu, Sigma Xi, the New York Academy of Sciences, and the IEEE Education and Electromagnetic Compatibility Societies. He is also a member of Who’s Who in Science and Engineering and Who’s Who Among America’s Teachers. Page 15.728.1© American Society for
/IDP?2. What were the main sources of conflict Indentifies the sources of conflict perceivedyou experienced in your team? by the students as well as their frequency.3. Pick one or two conflict(s) that you Establishes a more detailed description ofexperienced from the list above and explain students’ perception of conflict as well ashow they affected your team its impact on their team performance.4. How did the team manage those Investigates the strategies that studentsconflicts? used to deal with team conflicts.5. Did you think that any of the conflicts Evaluates students’ understanding ofyou experienced were productive and help productive conflict.your team perform better
), and the Virginia State Board of Education. The VSUenrollment is about 4700 undergraduate and 500 graduate students. The number of full-timeinstructional faculty is 206 and number of full-time research and public service faculty is 48.VSU also has about 105 part-time faculty members 2.NeedsA study by Howard University reveals that the representation of minority in science, technology,engineering, and mathematics (STEM) professionals is significantly disproportionate to minorityrepresentation in the U.S. general population and workforce 3. Minorities, particularly AfricanAmericans, are showing an increase in enrollment and subsequent degree attainment in science andengineering (S&E) (US Census Bureau, 2006). However, little increase has
plays a very important role in carrying loads, especially bending andtorsion. The shape can be optimized to maximize performance for a given loading condition. Simplecross-sectional geometries are not always optimal. For example, I-beams can carry bending loads moreefficiently when compared to a solid cross-section, like a solid square. By efficiency we mean for a givenloading condition the section uses as little material as possible.We define the shape factor in bending, „ B’ e due to stiffness effects as: S B e
from different operating divisions that have technical or businessissues. They are brought together to develop new or innovative products to make their divisionssustainable and profitable. It is very important to establish the entrepreneurial mindset by theCEO/professor (CEO/P) that fosters teamwork with a free spirit of brainstorming. This structureprovides real-world situations as in industry. The CEO/P acts as a mentor who providesencouragement and instills confidence that the employees/students (E/S) can deliver the producton time while meeting the project objectives.4BrainstormingThe E/S brainstorm as a group over several meetings and their ideas are recorded. To helpdevelop creativity, the CEO/P uses several methods such as asking E/S to
a county government team that was N DIC N T S HT KERSO 38 collaborative, interested in working N ST 38 TH ST N with a university class and
Circuit analysis in the s-domain Topics not explicitly introduced or covered in detail Scaling y, z, and h parameters Convolution* Fourier analysis* *Topic in the text that is sometimes, but not always covered in an EE circuits sequence. Figure 1: Circuits I Coverage Compared to a Traditional Two-Semester Circuits SequenceFigure 2 lists the labs associated with Circuits I content that is covered at either an intermediate- or anintroductory-level. More information about labs in
, exposure to and enrollment in higher education varies greatly by gender,especially when considering certain academic disciplines. Despite recent enrollmentgains in aggregated or overall enrollment, women remain underrepresented in science andengineering (S&E) undergraduate programs compared to their male counterparts(National Science Foundation, 1999). Traditionally a male-dominated field, significantlyfewer females choose engineering as an academic path, both at the national level Page 15.174.2(National Science, Foundation, 1999; National Center for Education Statistics, 2004) andthe University of Louisville (Office of Institutional Research and
Disagree Instructions and use of the virtual laboratory were clear and easy 49 0.0% 8.2% 4.1% 49.0% 38.8% to understand. The learning objectives of the virtual lab were clear. 49 2.0% 28.6% 16.3% 32.7% 20.4% The time and effort spent on the virtual laboratory was comparable to that which I typically spend on a homework 48 0.0% 37.5% 10.4% 20.8% 31.3% assignment. The virtual laboratory component improved my understanding of 49 0.0% 10.2% 26.5% 38.8% 24.5% fluid mechanics concepts. This method(s) of presenting information
contributions to this work. Fall 2010 Mid-Atlantic ASEE Conference, October 15-16, 2010, Villanova UniversityBibliography1. Engineering Criteria 2000: Criteria for accrediting programs in engineering in the United States. Engineering Accreditation Commission, Accreditation Board for Engineering and Technology, Inc: Baltimore, MD, 1998.2. Shaping the future. Volume II. Perspectives on undergraduate education in science, mathematics, engineering, and technology. Advisory Committee to the National Science Foundation, Directorate for Education and Human Resources: Arlington, VA, 1998.3. Carr, S., "What are we waiting for? Put engineering first!" Excellence in Higher Education, 8(3), 1999.4. Belytschko, T., A
course instructors and in-class observations of students engagedin impromptu design exercises represent the qualitative measures to be employed in the study.The methods and procedures for data collection and analysis are detailed below.5. ConclusionIn this paper, the use of impromptu design as a vehicle for integrating design educationthroughout the engineering curriculum was discussed. Examples of impromptu design exercisescurrently being developed for a diverse range of classes across engineering disciplines werepresented along with a discussion about some of the challenges of developing an adequateassessment plan.Bibliography[1] A. J. Dutson, R. H. Todd, S. P. Magleby, and C. D. Sorenson. “A review of literature on teaching
Disagree Instructions and use of the virtual laboratory were clear and easy 49 0.0% 8.2% 4.1% 49.0% 38.8% to understand. The learning objectives of the virtual lab were clear. 49 2.0% 28.6% 16.3% 32.7% 20.4% The time and effort spent on the virtual laboratory was comparable to that which I typically spend on a homework 48 0.0% 37.5% 10.4% 20.8% 31.3% assignment. The virtual laboratory component improved my understanding of 49 0.0% 10.2% 26.5% 38.8% 24.5% fluid mechanics concepts. This method(s) of presenting information