, research has suggested a 30 kilometers or greatertidal fence along a dam or bridge more is required to achieve economic viability. For tidalturbines, velocities are dependent on the blade design and typically require velocities of 1m/s orgreater to generate effective electrical power. 3,4 Another tidal energy obstacle is the high initial project cost. For large scale projects, thecosts are usually $10 million USD or greater. Based on published data from the Bay of Fundy(located in Eastport, Maine) turbine project it is possible to calculate the simple payback for thisproject: $ 21,000,000 = $(0.215) (1,200 Homes) (10932 kW*Hr) (12 Hrs) ( X )Yrs kW*Hr
within a sp pecific colleege or departtment; and shhort-term prrograms are characterizeed asintensivee one-time acctivities, succh as confereences or trainning meetinggs. Figure 1 illustratesprogram commonalitties with regard to program durationn, target grouups, departm ment- ordisciplinee-specificity y, and exposu ure of particiipants to teaaching and mmentoring at other instituutionsvia formeed partnersh hips and collaaborations. The particippant selectiviity of clusterr programs, tthelongest inn duration——often lasting g up to two years, y is soleely based onn membershiip in targeteddgroups, such s as havin ng PhD-stud
adoptedHalfin’s codes (1973). Halfin identified seventeen design strategies that commonly appeared insuccessful practitioners’ daily work. Among Halfin’s seventeen codes, the researchers confirmedthat SLED participants frequently used seven cognitive strategies; therefore, the study used theseven codes for analyzing the CTA sessions (as shown in Table 2).Table 2 Seven Halfin (1973) Cognitive Processes Code Cognitive Definition Strategy DF Defining The process of stating or defining a problem which will enhance problem(s) investigation. leading to an optimal solution. AN Analyzing The process of identifying, isolating, taking apart, breaking down, or
andcontextual metrics these students use in describing what success means to them will be useful ininfluencing programs aimed at ensuring students success in colleges and universities.References1. Lent, R. W. (2013). Career-life preparedness: Revisiting career planning and adjustment in the new workplace. The Career Development Quarterly, 61(1), 2-14.2. Atman, C. J., Sheppard, S. D., Turns, J., Adams, R. S., Fleming, L. N., Stevens, R., Streveler, R. A., Smith, K. A., Miller, R. L., Leifer, L. J., Yasuhara, K., & Lund, D. (2010). Enabling engineering student success: The final report for the Center for the Advancement of Engineering Education. San Rafael, CA: Morgan & Claypool Publishers.3. Arnett, J. J. (2000
subscribe to this ideology value a programmed curriculum, and the psychology underpinning it to be found in behavioural psychology, as for example that of B. F. Skinner. In engineering education it can be seen in the systems of mastery learning and personalised instruction that were experimented with in the 1960’s and 1970’s [18; [19]; [20]. While behavioural psychology was replaced by cognitive psychology it is relevant to note that there are many politicians and administrators who believe that computer assisted learning might come to be used to replace lectures which are considered to be conveyors of the same knowledge that is to be sound in textbooks. Evaluation is very important to those who hold this ideology. There are
audiobook archive LibriVox.Dr. David M. Whittinghill, Purdue University, West Lafayette (College of Engineering) Dr. David Whittinghill is an Assistant Professor of Computer Graphics Technology and Computer and Information Technology. Dr. Whittinghill’ s research focuses on gaming, simulation and computer pro- gramming education and how these technologies can more effectively address outstanding issues in health, education, and society. Dr. Whittinghill leads projects in virtual reality, pediatric physical therapy, sus- tainable energy simulation, Chinese language learning, and games as a tool for improving educational out- comes. Dr. Whittinghill is the director of the Games Innovation Laboratory (www.gamesinnovation.org
national commu- nity, Dr. Peeples has made an impact on improving the STEM pipeline through personal commitment, local partnerships, institutional leadership and effective collaboration. Dr. Peeples has mentored a di- verse group of high school, undergraduate and graduate students including three high school students, 64 undergraduate and 13 graduate students, and three postdoctoral fellows in her biochemical engineering laboratories. Five of her current and former doctoral students are underrepresented minority students who are also U. S. citizens, and four are U.S. women. Several of her graduate and undergraduate student re- searchers have won local, regional and national awards for their work. As the first Associate
University Doctoral Student, for her assistance in the development of journal protocol. - Dr. Ann-Marie Vollstedt, for knowledge and experiences around the implementation and use of active learning activities.References1. Prince, M. Does active learning work? A review of the research. Journal of Engineering education- Washington 93, 223–232 (2004).2. Hutchison, M., Follman, D. K., Sumpter, M. & Bodner, G. M. Factors influencing the self-efficacy beliefs of first-year engineering students. Journal of Engineering Education 95, 39–47 (2006).3. Freeman, S. et al. Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences of the United
0.0613 0.0613 0.0077 Total 29 38.1737 S = 0.0875595 R-Sq = 99.84% R-Sq(adj) = 99.42% Figure 10. Analysis of Variance (ANOVA) summary for the response variable “Moment”7. Learning Analysis and AssessmentGiven that the two courses, Product Design and Work Design, are offered for junior levelstudents, the majority of students had taken to the Introduction to Engineering Design coursewhere students are taught the basics of engineering design processes, methods, and decisionmaking using team design projects. Moreover, several students in the Product Design and Workdesign classes had previous internship experiences. The knowledge and experiences of thestudents brought in different ways of thinking and
., Bielefeldt, A. R., Sullivan, J. F., & Littlejohn, R. L. (2017). Divergent requirements for technicaland non-technical coursework in undergraduate engineering programs. International Journal of EngineeringEducation, in press.9. Ohland, M. W., Sheppard, S. D., Lichtenstein, G., Eris, O., Chachra, D., and Layton, R. A. (2008). Persistence,engagement, and migration in engineering. Journal of Engineering Education, 97(3), pp. 259-278.10. The College Board. Trends in Higher Education. Retreived December 15, 2016.https://trends.collegeboard.org/college-pricing/figures-tables/tuition-fees-room-board-over-time-unweighted11. DeAngelo, L., Franke, R., Hurtado, S., Pryor, J. H., & Tran, S. (2011). Completing college: Assessinggraduation rates at four
been an Electrical Engineering Professor. Dr. Mendoza is interested in Socioeconomi- cally Disadvantaged Engineering Students, Latino Studies in Engineering, Computer Aided/Instructional Technology in Engineering, and Entrepreneurship/Service Learning.Dr. 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, taught at Northwestern for Fall 1995, worked at Argonne National Lab, 1996-1997, Chicago State, 1997-2002. Dr. Richard is a Sr. Lecturer & Research Associate in Aerospace Engineering @ Texas A&M since 1/03. His research is focused on computational plasma modeling using
EngineeringEducation to the New Century. National Academies Press: Washington, DC.[3] American Society of Mechanical Engineers. (2008) 2028 Vision for Mechanical Engineering.http://files.asme.org/ICOMES/News/15876.pdf[4] Klein-Gardner, S. S. and Walker, A. (2011) Defining Global Competence for EngineeringStudents, Paper presented at 2011 ASEE Annual Conference & Exposition, Vancouver, BritishColumbia, Canada.[5] Continental AG (2006) In Search of Global Engineering Excellence: Educating the NextGeneration of Engineers for the Global Workplace. Continental AG: Hanover, Germany.[6] Downey, G. L., Lucena, J. C., Moskal, B. M., Parkhurst, R., Bigley, T., Hays, C., Jesiek, B.K., Kelly, L., Miller, J., Ruff, S., Lehr, J. L. and Nichols-Belo, A.. (2006) The
. Borrego, M., S. Cutler, and D. Loden. Evaluation of the Engineers Without Borders Challenge at Western Australia Universities. in AaeE Conference. 2010. Sydney: Australasian Association for Engineering Education.7. Allert, B.I., et al., Making the Case for Global Engineering: Building Foreign Language Collaborations for Designing, Implementing, and Assessing Programs. Online Journal for Global Engineering Education, 2007. 2(2).8. Parkinson, A., The Rationale for Developing Global Competence. Online Journal for Global Engineering Education, 2009. 4(2).9. Gregg, M.W., Global Competence: Its Importance For Engineers Working In A Global Environment, in American Society for Engineering Education Annual Conference. 2011
members. In addition, it could be supplemented with tracking howmany students actually emailed the instructor (or teaching assistant) and the frequency of thoseemails. Also, a correlation between some of the student’s communication, attendance, andlearning management system usage versus their course grades could be completed. Further, anANOVA could be completed if demographic, ANGEL usage, email usage, and coursesatisfaction were known for each individual student (currently these are known only at theaggregate level).Bibliography 1. Pew Internet and American Life Project, Available at: http://www.pewinternet.org/. Accessed July 1, 2016. 2. Jones, S. (Principal Author), The Internet Goes to College: How students are living in the future
vertical position, will be implemented using a finite state machine. Note: you are not required to design the feedback controller or state machine. Select appropriate sensors and actuators to implement the proposed system. These may include position/velocity/acceleration sensors, temperature sensors, motors, linear actuators, and many others. Note: accuracy, speed, and cost all matter! Select an appropriate microcontroller(s) to implement the proposed SLS system. If necessary, design appropriate interfaces between sensors and actuators and the microcontroller(s). Note: while useful in class, the Arduino Uno is likely not sufficiently
.25886.Donnell, Jeffrey A., Betsy M. Aller, Michael Alley, and April A. Kedrowicz. 2011. "Whyindustry says that engineering graduates have poor communication skills: What the literaturesays." American Society for Engineering Education.Garcia Lorca, F., & Ferguson, D. M., & Condoor, S. S. 2015. “Reinforcing CommunicationSkills Through Participation in a Team-based Weekly Innovation Challenge,” 2015 ASEEAnnual Conference & Exposition, Seattle, Washington. 10.18260/p.24664Lewis, N. A. 2008. "The engineer as a professor: Bringing experience to the engineeringclassroom." ASEE Mid-Atlantic Section meeting, US Military Academy at West Point, NYLoendorf, W. 2004. “Transitioning From Industry To Education: The First Year,” 2004 ASEEAnnual
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
Paper ID #19391Cross College Faculty Collaboration for the development of a new major inDesign and Construction IntegrationLuciana de Cresce El Debs, Purdue University Programs Luciana Debs, is an Assistant Professor of Construction Management in the School Construction Manage- ment Technology at Purdue University. She received her PhD from Purdue University Main Campus. Her previous degrees include a MS from the Technical Research Institute of Sao Paulo (IPT-SP), and BArch from the University of S˜ao Paulo (USP), in Sao Paulo, Brazil. Prior to her current position she worked in design coordination in construction and real
collection, and to their supervisors in the Enrollment Management division for supportingtheir efforts.ReferencesBieri Buschor, C., Berweber, S., Keck Frei, A. & Kappler, C. (2014). Majoring in STEM-Whataccounts for women’s career decision making? A mixed methods study. The Journal ofEducational Research, 107, 167-176. Table 5. Development of Pipeline Programs at WPI* Year Program Time Age Audience Founded Frontiers Summer 1985 High School Boys and Girls Camp Reach Summer 1997 Middle School Girls
Lock and Dam System Concrete Steel 3:30 -- 4:00 Material Material 4:00 -- 4:30 Team Building Exercise Lab Lab 4:30 -- 5:00 Note: The two material laboratory exercises run parallel with students split into two groups.Program Highlights Unique features of the CCSU NSTI program are the welcome luncheon and graduationceremony. The welcome luncheon is scheduled on the first day. FHWA Division Officerepresentative(s), CTDOT liaisons, university administrators (Admissions and Dean's Office),participating faculty, and speakers from the
interviews provided some key insights into howstudents perceive active learning and active learning classrooms in the School of Engineering.The insights gained through this process can be used by faculty when designing a course, andwhen planning to use an active learning classroom.AcknowledgementsWe would like to thank Treanor Architects for the photos of the active learning classrooms fromtheir “Post-Occupancy Evaluation,” of the LEEP2 expansion. ReferencesAstrachan, O. L., R. C. Duvall, J. Forbes and S. H. Rodger. (2002). "Active learning in small tolarge courses." FIE., 10.1109/FIE.2002.1157922.Beichner, R. and J.M. Saul. (2008). "Introduction to the SCALE-UP (student-centered activelearning environment
group discussion, groups reported back to the class. The instructors compiledconsensus items into a master list, which was distributed to the class as a rubric. (See AppendicesA-C for student-generated rubrics.)Call To Action:Students were asked to use the rubric as a guide when reviewing drafts.Autumn Workshop Session(s) 2 or 2-3 (75 min or 2x50 min):Expectations for Conduct and Useful Feedback; Peer Review in Small GroupsObjective:Enable students to provide meaningful guided peer review of drafts.Activation:The instructor asked students to share prior peer review experiences to uncover what constitutesuseful feedback. The class reached consensus on the following criteria for providing helpfulfeedback: 1) Always suggest something actionable
and recognition influenceachievement and interest, especially for girls and women.26,30-36 The preference for empatheticwork appears to help women maintain their identities, not merely adopt the identities ofmen.3,4,37-39Interest. The National Research Council identifies interest as a critical factor in predictingfuture engagement in STEM.40 Studies focused on girls in STEM indicate girls lack interest, notability.4,41 Interest may have a larger influence than academic achievement on choice of STEMas a career.42,43 Fewer and fewer students have been choosing to major in scientific fields atsecondary and university levels.44,45 In some areas, such as mechanical and electricalengineering, the number of women has declined since the 1960’s.46
avery brief measure, a 5-item innovation self-efficacy (ISE.5) scale was developed using the 19-item Dyer et al. Innovative Behavior Scale (IBS) as a starting point, adapted for undergraduateengineering students, and then condensed using confirmatory factor analysis.The ISE.5 measures innovation self-efficacy as a unitary construct drawn from Dyer et al.’s fiveinnovative behavior components (Questioning, Observing, Experimenting, Networking Ideas andAssociational Thinking) and has good internal and external validity as well as good test-retestreliability. The ISE.5 (as a measure of innovation self-efficacy) is shown to be an importantmediator between innovation interests and a desire to pursue innovative work as a career post-graduation. This
equationsof the form P(D)y(t) = Q(D)x(t), for derivative operations P(D) and Q(D) and functions x(t) andy(t) by looking at the equation in a different light. The transform reframes the equation as analgebraic equation in a new variable s by which the solution is easily obtained; in fact, for acompletely relaxed system (no initial conditions), the transform almost appears to amount to aninnocent change of variables. The new world of frequency is not trivial; in fact, the concept of "frequency response" is a difficulty when teaching circuits and controls. Two prominent methods of visualizing the frequency response exist, Bode Plots and Nyquist
. W., & Osipow, S. H. (1966). Vocational certainty and indecision incollege freshmen. Personnel & Guidance Journal, 44(10), 1037-1041.Atadero, R. A., Rambo‐Hernandez, K. E., & Balgopal, M. M. (2015). Using social cognitivecareer theory to assess student outcomes of group design projects in statics. Journal ofEngineering Education, 104(1), 55-73.Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory.Englewood Cliffs, NJ: Prentice-Hall.Betz, N. E., & Voyten, K. K. (1997). Efficacy and outcome expectations
measurement of engineering identity was accomplished using an adapted version of Godwinet al.’s (2016) measure of identity. Godwin et al. concludes that an engineering student’sengineering identity is a function of four attitudes relating to interest, performance, recognitionand agency. Interest is the student’s innate attraction to the subject material surroundingengineering, such as math, science and physics. Performance is an academic self-efficacyconstruct measuring how much a student believes in their ability to positively perform inacademically in engineering coursework. Recognition is how a student believes they arerecognized as an engineer, particularly by meaningful others such as parents or professors.Finally, agency or as Godwin et al