Science Class.Proceedings of the 17th SIGCSE symposium on Computer science education, 138-143.[2] Bergin, S. & Reilly, R. (2005). Programming: factors that influence success. ACM SIGCSEBulletin, Volume 37 – Issue 1, 411-415.[3] Bateman, C.R. (1973) Predicting performance in a basic computer course. Proceedings of theFifth Annual Meeting of American Institute for Decision Sciences, Boston, MA. 130-133.[4] Butcher, D.F., & Muth, W.A. (1985). Predicting performance in an introductory computer sciencecourse. Communications of the ACM, 28, 263-268.[5] Campbell P. F., & McCabe, G. P. (1984). Predicting the success of freshmen in a computerscience major. Commun. ACM, 27(11):1108–1113.[6] B. Cantwell-Wilson & Shrock, S
requirements, (b) planningsite design and page layout, (c) understanding Adobe Dreamweaver interface, (d)adding content, (e) organizing content, and (f) evaluating and maintaining a site.The results indicated that there were significant differences between students ofthe Information Communications Department and those of other departments inthe domain of web communication. Four competency indicators of planning sitedesign and page layout, understanding Adobe Dreamweaver interface, addingcontent, and organizing content were detected, and the findings were that the ICDepartment students outperformed the others. The students’ background variableson the influence of web communication competency were analyzed and resultsindicated that background variables
setupThe Experiment The students were asked to the following in this experiment: a. Collect the open loop temperature response of the plate over 1 hour when subjected to two different input voltage levels such as 6 volts and 9 volts. b. Use the open loop data to obtain a dynamic model of the heated plate. c. Through analysis, or simulation of the model in MATLAB or Excel, select appropriate control gains to control the temperature of the plate. d. Test the selected gains by running a closed loop control test over 30 minutes/1 hour with a desired temperature of 50 C.The students were asked to collect two open loop response plots to check the linearity of thesystem and to average the
observing all teams when teaching and providing feedback on theirprocesses, a metacognitive structure was used to engage students in self reflection and groupprocessing. The MERIT kit has three key components that are designed to address commonchallenges we face in teaching and assessing collaborative learning and teaming skills. Thesethree components are: (a) “Vicarious Learning Experiences” using case study videos (e.g., PBSDesign Squad clips) along with group processing with MERIT cards, (b) the “I Know My TeamMembers” document, and (c) a “Performance Assessment Task” used for pre and postevaluation. Next steps, in the validation of the MERIT kit, is wide dissemination and evaluationof the kit in supporting individual student learning.Factors
into a grade for each student (Table 5). Table 4 shows theperformance criterion as referenced to the ABET outcome and the assigned value to thatperformance criterion.1 The product of the value and score results in a point value. Page 15.258.7 Table 4. Score Tally Sheet Table 5. Translation to GradeOutcome Criterion Value Score Points a 3 3 Point Total at Grade b 1 4 or above b 3 2 213 A d 1 3
Institutional Marketplace and Faculty Attrition.” The NEA Higher Education Journal7. Lee, M., Abate, M.A., Fjortoft, N., Linn, A., and Maddux, M., “Report of the Task Force on the Recruitment and Retention of Pharmacy Practice Faculty,” Am. J. Pharm. Educ., 59, 28S-33S(1995).8. Brent, R., and Felder R. “A Model for Engineering Faculty Development.” Intl. Journal of Engr. Education, 19(2), 234–240 (2003).9. Moody, J. “Supporting Women and Minority Faculty.” Academe Online January-February (2004).10. R. Boice, Advice for New Faculty Members. Allyn & Bacon, Needham Heights, MA (2000).11. Etzkowitz, H., C. Kemelgor, and B. Uzzi, Athena Unbound: The Advancement of Women in Science and Technology, New York, NY: Cambridge
goal of the consortium is to become a world leader in energyresearch, education, technology, and energy systems and analysis. In so doing, the consortiumshall: Page 15.682.3 (a) Coordinate and initiate increased collaborative interdisciplinary energy research among the universities and the energy industry. (b) Assist in the creation and development of a Florida-based energy technology industry through efforts that would expedite commercialization of innovative energy technologies by taking advantage of the energy expertise within the
strengthening forthe discovery group and knowledge acquisition for the remaining students. Each group hadindividual discoveries that occurred at different points in time and informed subsequent lectures.This lesson learned conveniently deals with structural concerns, and does not address the non-technical or cultural issues. Figure 3. National Palace, Port-au-Prince: (a) August 7, 2006;[8] and (b) January 14, 2010.[9]Who Let the Dogs Out?Expanding research questions to include a cultural emphasis is a slippery slope in an engineeringcourse. Who let the dogs out? refers to a breadth of content associated with disasters that seemsto go on forever. Unusual topics arose during the discussions such as economics, politics,anthropology, sociology, foreign
DCIcorrelates only moderately with grade achieved in the class (coefficient 0.45), improvement inDCI score is moderately negatively correlated with grades (coefficient -0.45), as shown in figure5a and b. That DCI scores and grades correlate is within family for other strictly broadcastofferings of this course. The following semester, for example, grades and final DCI scorescorrelated with a coefficient of 0.48. However the grades and score improvement whereuncorrelated with a coefficient of 0.15. Average scores for pre- and post course inventorieswhere the same for those two offerings. These results indicate that the student’s conceptualunderstanding of the material is somewhat reflected in the calculation style assessments used togenerate grades
AC 2010-1741: EXAMINING STUDENTS’ PERCEPTIONS OFINTERDISCIPLINARITY BASED ON GENDER AND DISCIPLINARYAFFILIATIONAlexandra Coso, University of Virginia ALEXANDRA COSO is a graduate student pursuing an M.S. in Systems Engineering at the University of Virginia. She received her B.S. in Aerospace Engineering from MIT. Her current research focuses on interdisciplinary engineering education and students' perceptions of the different dimensions of interdisciplinary engineering projects.Reid Bailey, University of Virginia REID BAILEY is an Assistant Professor in the Department of Systems and Information Engineering at the University of Virginia. His research interests focus on studying how students
.: National Academies Press.2. Bransford, J. D., Brown, A. L., & Cocking, R. R., ed. (2000). How People Learn: Brain, Mind, Experience, and School. Washington, D.C.: National Academies Press.3. diSessa, A. A. (1993). “Toward an Epistemology of Physics,” Cognition and Instruction, 10(2 & 3), 105-225.4. Sternberg, R.J., (2003). Cognitive Psychology. 3rd ed., Belmont, CA: Wadsworth.5. Joyce, B., & Weil, M. (2000). Models of Teaching (6th ed.). Boston: Allyn and Bacon.6. Sheppard, S. D., Macatangay, K., Colby, A., & Sullivan, W. M., (2009). Educating Engineers: Designing for the Future of the Field. San Francisco: Jossey-Bass.7. Simon, H. A. (1957). Administrative Behavior (2nd ed.). Totowa, NJ: Littlefield
circles) such asthe plastic-metal laminate film commonly used in food packaging. Questions about Metal films who is on base A B Literal name interpretation Plastic films FIGURE 1. Schematic of Koestler’s Bisociation Theory applied to a joke (A) and a technical problem (B). The left diagram depicts the classic “Who’s on First” gag of Abbott and Costello where each open circle represents an individual joke. The right diagram explores the common application of plastic and metal films. Each circle on the right represents various ways of combining metal and plastics. Most of these are impractical
-year career plan results, we see that students who enter theprogram with specific plan for a career in engineering have a much higher probability of retentionthan those with other plans.In terms of academic achievement, not surprisingly, students who remain in the program insophomore year have higher grades in the EG 10111/2 courses, and higher overall semestergrade-point averages, than students who leave in the fall or the spring. Retained studentsgenerally performed at the B+ level, while students who left generally performed at the B to B-level (all differences statistically significant at the 0.000 level) and yet were also in good academicstanding. But, it is important to note that, at least for the fall survey data, students do not
these courses are indicated inTable 1. Initial registrations were even higher for 2009, but a number of students who pre-registered chose to drop the course within the first week of classes.Table 1: Course enrollments A term (B term) 2007 2008 2009 Feed the World 38 (36) 24 (23) NA Power the World 63 (52) 81 (71) 57 (47) Heal the World NA 46 (45) 66 (62) Grand Challenges NA 55 (54) 54 (53)In 2009 both PTW and GC had population limits of 60 and significant numbers of students onthe waitlist at the beginning of the year. The numbers within parentheses indicate the number ofstudents who registered for the second half of the course. The most common reasons studentscited for
also benefit. Industry sponsors have quick access to theirproject’s health and instructors can reliably assess team and individual student effort.6. Bibliography[1] Borstler, J., Carrington, D. Hislop, G., Lisack, S. Olsen, K., and Williams, L. (2002). “Teaching PSP: Challenges & Lessons Learned”, IEEE Computer, September/October 2002 pp. 42-48.[2] Boehm, B. Software Engineering Economics, Prentice-Hall, NJ, 1981.[3] Boehm, B. “Software Risk Management: Principles and Practices” IEEE Software 8(1):32-41, 1991.[4] Boehm, B., Egyed, A., Port, D., Shah, A., Kwan, J. and Madachy, R., “A stakeholder win-win approach to software engineering education”, Annals of Software Engineering 6:295-321, 1998.[5] Cockburn, A. “Earned-value and burn
experiment B in week two, and the other team of Page 15.793.9students will perform experiment B in week one followed by experiment A in week two.The course grade is determined from performance on laboratory reports (80%) and performanceon a midterm exam (20%). The course will be taught for the first time in the spring 2010semester.Progress in the Initial YearDuring the first year of the minor, the enrollment in the appropriate courses (described in thepreceding sections) are summarized in Table 1 below. Also, the enrollment in courses that havebeen taught before are summarized in Table 2. Table 1. Course Enrollments During 2009-2010
, students need to learn about theenergy requirements for vehicle propulsion, about the Table 2. Course Syllabuscharacteristics of internal combustion engines, and 1. Introduction and Contextabout the ways in which these characteristics interface. 2. HVACThe driving simulator exercise addresses precisely this a. Thermal envelope; heating and coolingcombination of issues. loads b. Heat sources Hybrid electric vehicles are a technology that c. Cooling and humidity controlcan be addressed well in this course because of the d. Ventilation and heat and energyneed for a system level analysis considering
., "ThermoNet: A Web-Based Learning Resource for Engineering Thermodynamics," 2000 ASEE Annual Conference (American Society for Engineering Education, 2000).2. Young, V., and Stuart, B., "A Theme Course: Connecting the Plant Trip to the Text Book," Journal of Engineering Education, October, 475-479 (2000).3. Young, V.L. and Stuart, B.J., “The Theme Course: Connecting the Plant Trip to the Text Book,” Journal of Engineering Education, Vol. 89, No. 4 (2000).4. Felder, R.M., Woods, D.R., Stice, J.E., and Rugarcia, A., “The Future of Engineering Education II. Teaching Methods That Work,” Chem. Engr. Education, Vol. 34, No. 1 (2000).5. Anderson, E.E., Sharma, M.P., and Taraban, R., “Application of Active Learning
endeavors while employing mixed-methods. A recurring theme in her scholarship explores gender and diversity for girls and women in environmental sciences and engineering with an emphasis on their learning, socialization and career development. She has served as an evaluator and senior researcher on the ADVANCE-ENG Girls to Women: An Innovative Engineering Faculty-Student Mentoring Summit for Underrepresented Minority (URM) Girls and Their Mothers and managed a cadre of other environmental training programs.Christine Grant, North Carolina State University Dr. Christine Grant is a Full Professor of Chemical and Biomolecular (CBE) engineering at North Carolina State University (NCSU). She
-enjoyment, t(283) = 9.627, p < .001; b) sense of learning, t(283) = 4.109, p < .001; and c)perception of its helpfulness, t(284) = 4.377, p < .001. Page 15.533.6Figure 2 - Comparing the Motivation Measures for GMA and DAA activitiesResults from the motivation measures were further supported by the unprompted additionalcomments students’ provided on the post lab survey. Of the seventy-one students that providedadditional comments, seventy-six percent referred to satisfaction, enjoyment or learning derivedfrom engaging in the lab tasks. A representation of these comments is shown in Table 3Table 3 - Sample Student Comments from Post lab Survey
several kiteconfigurations likely to be utilized for aerial imaging applications ( Figure 4a shows a Delta Kiteused in the project). Laboratory and field investigations of Picavet (Figure 4b) and Aeropod(Figure 4c) platforms for KAP, were also undertaken. The exchange students were trained onARCGIS 9.2 and exposed to a variety of software and hardware tools and equipment utilized inprecision agriculture. They also learned to geo-reference, mosaic, and analyze kite aerialimagery. Dr. Yilmaz and Dr. Nagchaudhuri worked as faculty mentors for the students involvedin the project. Mr. Geoffrey Bland at NASA Wallops Flight Facility also worked closely with thestudents. Figure 4(a) – Delta Kite Figure 4(b) – Picavet Figure 4(c
positive teaching experience for the new teacher, and better learning environment andeducation for the students.IntroductionMany new as well as experienced teachers of engineering, science, and technology in collegesand universities often struggle with the teaching component of their jobs. This can be veryfrustrating as these individuals see themselves as highly-intelligent, well-accomplished peoplewho understand the material that they are attempting to teach to students—often undergraduatestudents. When the teaching struggles result in (a) poor teaching evaluations by the students or(b) a significant reduction of time spent developing his or her research program, the teachingproblems can reduce the chances of the faculty member gaining tenure. So
addresses the skills continuum in three main parts: a) Part I addressesthe Direct Leadership Skills and Actions required for Engineering Levels [1-3]; b) Part II addresses theOrganizational Leadership Skills and Actions required for Engineering Levels [4-6], and; c) Part IIIaddresses the Strategic Leadership Skills and Actions required for Engineering Levels [7-9]. The overallanalysis sets the foundation for building a coherent professional graduate curriculum and dynamiceducational process reflective of how experienced engineering professionals learn, grow, and create newtechnology in industry. This paper addresses Part III: the Strategic Leadership Function, Skills andActions that the engineer must learn and develop at Director of Engineering
=37. a. Knowledge: 5-point Likert Scale (1=Strongly disagree, 2=Disagree, 3=Neutral, 4=Agree, and 5=Strongly agree) b. Attitude: 5-point Likert Scale (1=Strongly disagree, 2=Disagree, 3=Neutral, 4=Agree, and 5=Strongly agree) c. Behavior: 5-point Likert Scale (1=Never, 2=Less than once a year, 3=Once or twice a year, 4=About once a month, and 5=At least once a week)Table 3 shows the responses for a subset of the items from PEAS. Through the knowledge items,we see that parents (or caregivers) are aware of the importance and benefits of engineering to thesociety and the relevance of engineering to other STEM areas. In particular, item 5 and item 4showed the highest means under knowledge items: ‘I
detail.Shortly after the second meeting the electric company representative decided that a company inColorado, whose primary business was doing hybrid to plug-in hybrid conversions, would beused for the conversion. The reasons for using the hybrid to PHEV conversion company were:a) The time needed for the students to develop the breadth and depth of expertise needed to dothe initial design calculations, material procurement and certification, and construction of the Page 15.1290.3vehicle conversion. b) The control package and battery assembly for the conversion wouldrequire quite some time for the students to acquire the required in-depth knowledge to
also demonstrates that if assessment instruments are carefullydesigned, collection of data for program assessment need not be cumbersome: the sameraw data collected during the routine activity of grading student assignments can also beapplied to programmatic assessment. The strategy is summarized in a six-step methodthat is applicable to any engineering program, though the specific objectives to beassessed and courses in which to implement the strategy will be different for everyprogram.Fall 2010 Mid-Atlantic ASEE Conference, October 15-16, 2010, Villanova UniversityTable 1: Grading rubrics for assessment of Junior/Senior Clinic projects.Project Element An “A” team (10) A “C” team (7) A “B” team (5)Project Goals
manufacturing enterprise. The lab will employ graduate students to help developexperimental setups along with student lab manuals and instructors’ notes. An overallarchitecture of the Internet Based Manufacturing Laboratory (IBML) at UTEP is depictedin Figure 1. Page 15.504.3 2 Machining Process Parts A CAM Software VMC B Assembly
concepts", V. Mitin, X-F. Liu, M. Bell, and G. Fulmer, J. Materials Education, 2009, Vol. 31, No. 3-4, pp. 175-200.6. “Developing a Lab Course in Nanotechnology for Undergraduate Engineering Students” V. Mitin, N. Vagidov, X. Liu, ASEE Annual Conference, June 22-25, 2008, Pittsburgh, Pennsylvania, Proceedings, AC 2008-1736, pp. 1-8.7. S. A. Maier, M. L. Brongersma, P. G. Kik, S. Meltzer, A. A. G. Requicha, and H. A. Atwater, "Plasmonics - A route to nanoscale optical devices," Advanced Materials, vol. 13, pp. 1501-1505, 2001.8. J. C. Weeber, J. R. Krenn, A. Dereux, E. Bourillot, J. P. Goudonnet, B. Schider, F. R. Aussenegg, and C. Girard, "Optical near-field properties of lithographically designed me-tallic nanoparticles
a specific time increases their commitment to attend. ≠ Develop an online sign in process to better monitor program utilization. ≠ Develop a privacy policy so users are aware of session recording options.Bibliography1. Avison, D., Baskerville, R., & Myers, M. (2001). Controlling Action Research Projects. Information Technology & People, 14(1), 28-45.2. Bloom, B. S. (1984). The search for methods of group instruction as effective as one-to-one tutoring. Educational Leadership, 41(8), 4.3. Bork, A. (2000). Learning technology. Educause Review, 35(1), 74-81.4. Chang, S. L. (2004). The roles of mentors in electronic learning environments. AACE Journal, 12(3), 331-342.5. Elden, M., & Chisholm, R. F. (1993
from othersincluding peers, family, and professional engineers and applied scientists emerged as asignificant factor influencing the decision to pursue graduate education in engineering or anapplied science discipline. Participation in a summer research or internship program alsoimpacted and solidified the decision of study participants to pursue an advanced degree. Keyfactors impacting doctoral degree completion included: peer support, faculty adviser support,support from university administrators, and family support. These findings were analyzed inrelation to the research and higher education literature on the persistence of African Americansin graduate education. In addition to identifying factors that influenced this group of