students.1-5 Few ifany studies to this point have (a) shown a specific interest in engineering students, (b) sought toflip the paradigm by studying high achieving black students who display an identification (ratherthan disidentification) with academics, and (c) used a qualitative approach to explore andunderstand this phenomenon or lack thereof. The purpose of this report is to use the pre-college lived experiences of successful(academically identified) African American engineering students to understand how theacademic messages from prominent people in their lives shaped participant academic identitiesand interest in engineering. To develop this understanding, the study answers the following
AC 2010-514: TRACKING MIDDLE SCHOOL PERCEPTIONS OF ENGINEERINGDURING AN INQUIRY BASED ENGINEERING SCIENCE AND DESIGNCURRICULUMJade Mitchell-Blackwood, Drexel University Jade Mitchell-Blackwood is a Ph.D. candidate in the Department of Civil, Architectural and Environmental Engineering at Drexel University. She will complete her Ph.D. in 2010. Jade is a 2nd year NSF GK-12 Fellow. She has also received support from the U.S. Dept. of Education GAANN Fellowship Program and the National GEM Consortium. Her research focus is in the area of quantitative microbial risk assessment, specifically using analytical models to inform risk based decisions about pathogens in the environment. She has been the
Std. Error of the Model R R Square Adjusted R Square Estimate a 1 .813 .661 .660 3.08240 b 2 .834 .695 .694 2.92608 c 3 .849 .721 .719 2.80310 Page 15.1206.8 d 4 .860 .739 .737 2.71327Thus, the
, (3), 303-322.3. Jones, M. G., Minogue, J., Oppewal, T., Cook, M., & Broadwell, B. (2006). Visualizing without vision at the microscale: Students with visual impairment explore cells with touch, Journal of Science Education and Technology, 15, 1573-1839.4. Grow, D. I., Lawton, V., & Okamura, A. M. (2007). Educational haptics. American Association for Artificial Intelligence (AAAI) 2007 Spring Symposia- Robots and Robot Venues: Resources for AI Education.5. Okamura, A. M., Richard, C., & Cutkosky, M. R. (2002). Feeling is believing: Using a force-feedback joystick to teach dynamic systems. ASEE Journal of Engineering Education, 91(3), 345–349.6. He, X. (2003). Haptics-augmented undergraduate
laboratories and designed easy-to-use authoring tools to create such labs. Dr. Cherner holds an MS in Experimental Physics, and Ph.D. in Physics and Materials Science. He published over 80 papers in national and international journals and made dozens presentations at various national and international conferences and workshops. Dr. Cherner has served as a Principal Investigator for several government-funded educational projects.Ahmed Khan, DeVry University AHMED S. KHAN, Ph.D., is a senior Professor in the EET dept. at DeVry University, Addison, Illinois. He received his M.Sc (applied physics) from University of Karachi, an MSEE from Michigan Technological University, an MBA from Keller Graduate School of
AC 2010-1838: RECRUITMENT AND RETENTION OF WOMEN IN COMPUTERSCIENCE & ENGINEERINGAfsaneh Minaie, Utah Valley University Afsaneh Minaie is a professor of Computer Science at Utah Valley University. Her research interests include gender issues in the academic sciences and engineering fields, Embedded Systems Design, Data Bases, and Digital Signal Processing.Kirk Love, Utah Valley University Kirk Love is an associate Professor of Computer Science at Utah Valley University. His research interests include gender issues in the academic sciences, Digital Image Processing and Robotics.Paymon Sanati-Mehrizy, University of Pennsylvania Paymon Sanati-Mehrizy is an undergraduate student at the University
: a. In the Capital Kabul University (KU) Information and Communication Technology Institute (ICTI) Kabul Polytechnic University (KPU) University of Education b. Provincial Universities Balkh University (BU) in the north of the country Nangarhar University (NU) in the east of the country Kandahar (KU) and Sheikh Zahid Universities located in Khost (SZKU), in the south east and southern Afghanistan and Herat University (HU) in western Afghanistan. There are many private institutions which offer IT courses beside the above public universities in Afghanistan
AC 2010-372: ROBOTICS ENGINEERING: ASSESSING ANINTERDISCIPLINARY PROGRAMMichael Gennert, Worcester Polytechnic InstituteFred Looft, Worcester Polytechnic InstituteGretar Tryggvason, Worcester Polytechnic InstituteTaskin Padir, Worcester Polytechnic InstituteLance Schacterle, Worcester Polytechnic Institute Page 15.1046.1© American Society for Engineering Education, 2010 Robotics Engineering: Assessing an Interdisciplinary ProgramAbstractIn the spring of 2007, Worcester Polytechnic Institute introduced a BS degree program inRobotics Engineering. The degree program is a collaborative effort, involving faculty from thedepartments of computer science, electrical and computer
theory of delays. Retrieved from http://www.deltadynamicsinc.com6. Bozzone, V. (2002). Speed to market: Lean manufacturing for job shops (2nd ed.). New York: AMACOM.7. Celano, G., Costa, A., & Fichera, S. (2003). An evolutionary algorithm for pure fuzzy flow shop scheduling problems. International Journal of Uncertainty, Fuzziness & Knowledge-Based Systems, 11(6), 655-669.8. Choi, B. K., & You, N. K. (2006). Dispatching rules for dynamic scheduling of one-of-a-kind production. International Journal of Computer Integrated Manufacturing, 19(4), 383-392.9. Choi, S. H., & Yang, F. Y. (2005). Quick value-setting algorithms for the longest path problem of job shop scheduling. Journal of Manufacturing
mathematics, science and engineering sciences to solve problems (ABET Criterion 3.a, Program Criteria). b. an ability to plan, design, and conduct engineering experiments as well as to analyze and interpret data and report results (ABET Criterion 3.b). c. an ability to systematically identify, formulate, design and demonstrate electrical engineering systems, subsystems, components and/or processes that meet desired performance, cost, time and safety requirements (ABET Criterion 3.c and program criterion). Page 15.775.7 d. an ability to function on multidisciplinary teams (ABET Criterion 3
of the semester, industry representatives make presentations to the class on possibleprojects. Based on their essay, available projects, and student input, students are then dividedinto teams and are given the opportunity to choose a project from projects offered by industry, orthey have found on their own.For each project, the student team must prepare the following over the two semester time frame: a. Existing property information, general project description, project goals, (includes site visit information, photos, and research of property information) b. Prepare a Pro Forma analysis and discussion of project costs and benefits c. Prepare a GAP Analysis or justification of the project along with
Microsoft Excel VLOOKUP function. Figure 6. Computation of element coefficient matrices C(e). More precisely, cells C78, C79, and C80 contain, respectively, the formulas =VLOOKUP($A78,$F$47:$I$71,2) =VLOOKUP($A79,$F$47:$I$71,3) =VLOOKUP($A80,$F$47:$I$71,4) which search the item in column A (element number) and return the global nodes from the lookup table $F$47:$I$71.b. The VLOOKUP function is invoked once again to retrieve global node coordinates. In the cell range D78:E80 the formulas implement this task: =VLOOKUP($C78,$A$47:$C$67,2) =VLOOKUP($C78,$A$47:$C$67,3) =VLOOKUP($C79,$A$47:$C$67,2) =VLOOKUP($C79,$A$47:$C$67,3
score at 14.9% was classified as machine operators, andsemiskilled workers. Lastly 21.3% of students reported their parents as skilled craftsmen,clerical, or sales workers.Eighth Grade Math/Science Scores and Current GPA Among the participants in this study the majority of students reported receiving the gradeof “C” or higher in eighth grade math or science. More importantly ~ 44% of them received a“B” in math and almost 50% of students received a “B” in science. Roughly 17% of studentsreported receiving an “A” in both eighth grade math and science. This is important signifyingthat students performed above average in these core courses. According to the school district’sdefinition a “C” is considered an average grade. The average
, few treat anything like FEED as acoherent stage-based set of activities, none teach design validation, and few even cover designreviews. Figure 2. The FEED-Solution (F-S) Model of the Design Process (Market Pull)B. Two Key Features of the FEED-Solution (F-S) ModelThe F-S model is very clear about the design process having an input (the trigger), a process, andan output (the design proposal). This is important when communicating the design to clients Fall 2010 Mid-Atlantic ASEE Conference, October 15-16, 2020, Villanova Universityand partners, as well as to instructors. Before explaining how FEED is being implemented atPenn State, we will provide a few more details on two key features of the model, namely, thetrigger and the design
, occurrence and detectionratings are listed next. When beginning this process, it is recommended that the team start withthe scales shown in the standard, then modify the language in the scale descriptions to better fitthe needs of the team. SAE J1739 has defined scales from 1 (lowest) to 10 (highest) and adescription for each level of severity, occurrence and detection. RPN is the risk priority numberand is calculated by multiplying the ratings for severity, occurrence, and detection so that RPN =S x O x D.After completing the current process portion of the form, the team begins to prioritizeimprovement efforts as shown in Figure 2 by answering two questions: a) Which steps have thehighest RPN?, and b) Which steps are the most severe? The team must
applying it to practical uses. Thecritical changes will be the first few weeks, and in preparing the right reference sheets so thatstudents can gain momentum quickly. The later periods of the semester will cover the originalmaterial at a faster pace. The proposed new content is: A. Introduction, installation of python environment (Jython) and interface. (1 hours) B. Simple plots using arithmetic, iterations and “if-then” statements. (2 hours) C. Use of summation and linear operations applied to image transformations. (2 hours) D. Functions and example of class definition. (2 hours) E. Application to simulation of simple mechanical systems. (2 hours) F. Application to simulation of basic electric circuits. (3 hours) G
of Engineering Programs, 111 Market Place, Suite 1050, Baltimore, MD: Accreditaion Board of Engineering and Technology; 2009.2. Krystofolski A, Batterson B, Budarz S, Clark R, McNamara K, Miller M, Fagan J, Thomas Bianchi, Peters C, Brusseau K and others. NASA Moonbuggy Lunar Vehicle Design - 2008. Project report. New Britain: Central Connecticut State University; 2008.3. Six F. Moonbuggy Rules and Penalties. NASA; 2008.4. Hrenko J, Danenberg A, Summers K, Shaw H, Varghese P, Geagea E, Cook C, Elhwali A, Cegelka N. 2009 Great Moonbugg Race. Project report. New Britain: Central Connecticut State University; 09.5. Naoumov V, Al-Masoud N. NASA Project in ME Senior Capstone Design Class: Experience and
complete their in-class projects within the class period and to improve the overalleffectiveness of the CPBL: Page 15.690.8 a. Students use Tablet PCs with the DyKnow [15] class management software during every class period. This allows the instructor to embed simple inquiry based exercises using the FPGA board on non-project days. b. Create a sequence of pre-project in-class inquiry based exercises to familiarize students with the design environment (FPGA prototype board, Verilog code examples, Xilinx development, simulation, and synthesis tools). Additional small hands-on inquiry based projects are being created to
-year and two-year institutions. Consider: a. Concurrent enrollment b. One-to-one mutual agreements between an individual community college engineering program and a single university, which result in alignment of lower division curriculum for all majors.Whatever the next step might be, engineering faculty at four-year schools will have to be activelyinvolved to remedy this situation. Innovation is good but we still need consistency betweenapproaches. At the very least, four-year schools need to work with other four-year schools(particularly those within a region) as well as with the community colleges to ensure reasonableconsistency. When changes are proposed to the lower-division, the impacts to
programsupports the success of the program and the effective preparation of our trainees for careers instem cell research. [1] http://www.cirm.ca.govs[2] Baker, L., & Deal, B. CIRM - Interim economic impact review. Menlo Park: Analysis Group. (2008)[3] http://stemcells.nih.gov/research/training/defaultpage.asp[4] Saterbak, A. “Laboratory courses focused on tissue engineering applications,” Proceedings of the 2002 AmericanSociety for Engineering Education Annual Conference & Exposition, 2002.[5] Phillips BW, Crook JM. “Pluripotent human stem cells: a novel tool in drug discovery,” BioDrugs, 24(2): 99-108, April 1, 2010.[6] http://rsbweb.nih.gov/ij/[7] http://www.nhnscr.org/stem-cell-culture-course
with students’ gender, college major, calculus studying time, internettime, the frequency of asking calculus questions per week, and calculus achievement of thelast semester. Section B is based on the Tripartite Model, with five scales developedaccording to affective, cognitive and behavior domains respectively. The five scales includethe cognitive variables of usefulness and self-efficacy, affective variables of motivation andanxiety, and the behavior variable of learning habit. Each scale contained twelve items for atotal of sixty items. Items of the five scales were combined and randomly listed on a singlesurvey that was distributed to participants of this study.This research conducted a validity analysis of the five scales on 396 first
Practice in the U.S. Construction Sector. National Occupational Research Agenda (NORA)5. McCabe, B., Karahalios, D., Loughlin, C. (2005) Attitudes in Construction Safety. Construction Research Congress, ASCE.6. Reynolds, J.H., Petersen, A.K., and Tutesigensi, A., (2004) Case study: a zero tolerance assessment strategy for7. incorporating risk assessment into undergraduate construction related courses. UK: ITSN Engineering Report No. 03-2004.8. Bureau of Labor Statistics: (2009) Bureau of Labor Statistics Injuries, Illnesses and Fatalities Data. http://www.bls.gov/iif/oshcfoi1.htm9. Bureau of Labor Statistics: (2006) Bureau of Labor Statistics Injuries, Illnesses and Fatalities Data. http://www.bls.gov/iif/oshcfoiarchive.htm
mental maps that shape one’sperceptions [Chermack, 2004].b) The Process:In the body of the process, groups identify driving forces (social, economic, political, andtechnological) and the factors that shape those forces. These factors are then prioritizedaccording to importance and uncertainty.Why use scenario planning as a way to determine the Qatari Engineering Education 2030? Inuncertain times, a structured stakeholder dialogue can provide valuable insights into how thefuture might unfold for an organization. Because of stakeholder involvement, even unpleasantfutures can be accepted as plausible, allowing the organization to become aligned around facingand planning for them [Banuls and Salmeron, 2007].4. Expected outcomesThe study will also
AC 2010-384: PEER MENTORING: IMPACT ON MENTEES AND COMPARISONWITH NON-PARTICIPANTSRose Marra, University of Missouri ROSE M. MARRA is an Associate Professor in the School of Information Science and Learning Technologies at the University of Missouri. She is Co-Director of the NSF-funded Assessing Women andMen in Engineering (AWE) and Assessing Women In Student Environments (AWISE) projects and Co-PI of the National Girls Collaborative Project. Her research interests include gender equity issues, the epistemological development of college students, and promoting meaningful learning in web-based environments.Whitney Edmister, Virginia Tech WHITNEY A. EDMISTER is the Assistant Director of the
). Dropout from higher education: A theoretical synthesis of recent research. Review of Educational Research, 45 (1), 89-123.[22] Tinto, V. (1987). Leaving college. Chicago: University of Chicago Press.[23] Tinto, V. (1993). Leaving college: Rethinking the causes and cures of student attrition. 2nd ed. Chicago: University of Chicago Press.[24] Williamson, D.R., and Creamer, D.G. (1988). Student attrition in 2- and 4-year colleges: Application of a theoretical model. Journal of College Student Development, 29, 210-17.[25] Van Gennep, Arnold. (1960). The Rites of Passage (1909), trans. Monika B. Vizedon and Gabrielle L. Caffee. Chicago: University of Chicago Press
table was prepared October 2008.)4 Hooks, B. (1981). Ain’t I a Woman: Black Women and Feminism. Boston: South End Press.5 Spelman, E.V. (1988) Inessential Woman: Problems of Exclusion in Feminist Thought. Boston: Beacon Press.6 Amelink, C.T. & Creamer, E.G. (2010). Gender differences in elements of the undergraduate experience thatinfluence satisfaction with the engineering major and the intent to pursue engineering as a career. Journal ofEngineering Education, 99 (1), 81-927 National Action Council for Minorities in Engineering. (2008). Confronting the ‘New’ American Dilemma,Underrepresented Minorities in Engineering: A Data-Based Look at Diversity. Executive Summary.8 Commission on Professionals in Science and Technology. (2006
strategy statistically proved that the TAs and students’ performance significantlyimproved. The strategy can be applied to other science and engineering courses. The authors planto extend this strategy to 3 other courses over the next 3 years. The strategy presented in thisstudy may be used at other institutions with appropriate modifications in order to engage ourstudents to learn the laboratory experiments. Page 15.744.6Bibliography 1. Brooks, R., Madjar, A., Miller, W., Takkalapelli, K. “Finite Element Method - A Tool for Learning Highway Design”, 2008 ASEE Annual Conference, Pittsburg, PA 2. Brooks, R., Ayranci, B., Takkalapelli, K
, Murray B, Marinello S. RR Interval Analysis for Detection of Atrial Fibrillation in ECG Monitors. 30th Annual International IEEE EMBS Conference, Vancouver, 2008. 5. Khan MG. Rapid ECG Interpretation. 3rd Ed. Totowa: Humana Press. 6. Sornmo L, Stridh M, Husser D, Bollmann A, Olsson SB. Analysis of Atrial Fibrillation: from electrocardiogram signal processing to clinical management. Philosophical Transcactions of The Royal Society, 2008. 7. Chang PC, Hsieh JC, Lin JJ, Yeh FM. Atrial Fibrillation Analysis Based on Blind Source Separation in 12- Lead ECG Data. ICMB, (2010):286-295. 8. Weissman N, Katz A, Zigel Y. A New Method ofor Atrial Electrical Activity Analysis from Surface ECG Signals Using
technologies, and a well educated,globally distributed global workforce represent significant challenges to the status quo ofU.S. engineering and engineering education. Meeting these challenges requires atransformation of how engineering is taught. Strong domain knowledge and technicalexpertise no longer make a well-rounded engineer; the rapid pace of change in scienceand engineeringalso requires high levels of ingenuity and adaptivity. Learning scientistsdescribe these dual capabilities as “adaptive expertise” (AE). Adaptive experts areinnovative: they are able to creatively leverage their experience and perform well in noveland fluid situations. They are also efficient: they apply their core taxonomic knowledgeappropriately and expeditiously. Common
because technology continues to impact and influence society.The intent of the course was to enhance the student’s understanding of how technologiesdeveloped and why. The material covered helps the student to understand and recognize ourdependence on technology and its invasive nature into our lives. In this course the students studythe past development, use and affects of technology in order to be better prepared for the newtechnologies of the future.Bibliography1. Accreditation Board for Engineering and Technology, at http://www.abet.org2. Alcorn, Paul. Social Issues in Technology:, A Format for Investigation, 4th ed. Upper Saddle River, NJ: Prentice Hall. 2003.3. Hjorth, L., Eichler, B., Khan, A. and Morello, J. Technology and