learning from that failure; 2. Work as a teamto fundamentally understand a problem and why the problem occurred (The goal is to understandnot only technically why it occurred but why the technical errors were not discovered andcorrected.); 3. Engage in critical thinking and analysis to identify what technical error(s)occurred and to try to determine what system error(s) existed that allowed the technical error togo undetected, and finally, logically analyze the case to determine what personal errors weremade by the people involved in the case; 4. Increase student awareness of the roles andresponsibilities of working in the Engineering Profession; and 5. Use the elements of criticalthinking to create a defensible, logical position on the question
. Occasionally, but rarely, students willdiscover these connections on their own, even though they may be readily apparent toteachers, curriculum designers, and other content experts. Examples of explicit andimplicit math integration in a PLTW course follow.Example 1: Excerpt illustrating explicit integration of math with engineering In this example two students are discussing the design of their project, aballistic device, with their instructor: S: ((At the same time)) Different, different angles. S: A protractor sitting here. With a string with a weight on it. So as you tip it it'll that'll tell you what degree you're tipping it. T: I like that. That's nice. S: So that tells you what degree so we can figure that out. In
-year calculus-based physics course reduced the achievement gap between menand women in the course, and elevated women‟s modal grade from a C to a B.20 In the first yearcourses for civil and environmental engineering at the University of Colorado (CU) therespective BOK6,1 is presented to students in order to show that a diversity of knowledge, skills,and values are important, in the hopes that students will find some parts of the profession withwhich they can personally identify.A secondary goal of this research was to determine if there were significant differences in theattitudes toward sustainability of the first year students in the civil engineering course versus theenvironmental engineering course. My hypothesis was that a higher
what was going on because he wasn’t telling us directly what we needed to do but instead bringing up more questions for us, and more problems to solve.” • All students interviewed found the DMM beneficial to the project. “Those meetings gave us direction, he would mention things that we had forgotten and stuff like that, with his way of asking questions about stuff we said.” “just getting [coach]’s feedback was beneficial. Finding out like if what we came up with Page 22.635.8 on our own was a good idea or if we missed something.” • Students expressed that they appreciated the coach asking difficult
multi-faceted, multidisciplinaryengineering issues. They are then asked to determine the most important problem/s and todiscuss stakeholders, impacts, unknowns, and possible solutions. Table 2 presents a summary ofsample scenarios, and Appendix B provides three full scenarios with instructional prompts. TheEPS Rubric, an analytic rubric, was developed to measure the extent to which studentperformance in response to a given scenario achieved the six learning outcomes associated with Page 22.38.2the ABET professional skills. This method is flexible, easy to implement, and can be used at the course level for teaching and measuring engineering
/index.html. [4] R. L. Custer, J. L. Daugherty, and J. P. Meyer, Formulating the conceptual base for secondary level engineering education: A review and synthesis,. Washington, DC: The National Acadamies Pres,, 2010. [5] S. Hartmann, H. Wiesner, and A. Wiesner-Steiner, Gender designs IT. IV,, ch. Robotics and gender: The use of robotics for the empowerment of girls in the classroom, pp. 175–188. VS Verlag, 2007. [6] J. Weinberg, J. Pettibone, S. Thomas, M. Stephen, and C. Stein, “The impact of robot projects on girls attitudes toward science and engineering,” in Robotics Science and Systems (RSS) Workshop on Research in Robots for Education, (Georgia Institute of Technology, Atlanta, GA), June 30th
EngineeringInformation Sources and Access. Issues in Science & Technology Librarianship, (2009) 57. Retrieved fromhttp://www.istl.org/09-spring/refereed3.html2. Denick, D., Bhatt, J., & Layton, B. (2010). Citation analysis of Engineering Design reports for informationliteracy assessment. Proceedings of the 2010 American Society for Engineering Education Annual Conference &Exposition. Retrieved from http://www.asee.org/search/proceedings3. Nerz, H. F., & Weiner, S. T. (2001). Information competencies: A strategic approach. Proceedings of the 2001American Society for Engineering Education Annual Conference & Exposition. Retrieved fromhttp://www.asee.org/search/proceedings4. Millet, M. S., Donald, J., & Wilson, D. W. (2009). Information
personal path led me from a [university] BS/MS in 1969/70 to industry experience in [state]. After balancing family obligations and career motivation in the late 70’s and early 80’s, I returned to school and received my PhD from [different university] in 1985. My continued commitment to education led me to the newly created chemical engineering department at [another university] in 1986, where I started as an assistant professor just before turning 40.” – Diane Dorland, dean, Rowan UniversitySally Ann Keller gained leadership experience at the National Science Foundation and LosAlamos National Laboratory before becoming dean: “When I look back on my career, I can honestly say I did not spend much time planning
learning.AcknowledgementsThis material was supported by National Science Foundation grant no. 0935211. Any opinions,findings, and conclusions or recommendations expressed in this material are those of the authorand do not necessarily reflect the views of the National Science Foundation. Page 22.1220.11Bibliography1. Felder, R.M. and Silverman, L.K. “Learning and Teaching Styles in Engineering Education,” Journal of Engineering Education, Vol. 78(7), 674–681 (1988)2. Litzinger, T.A., Lee, S.-H. Wise, J.C. and Felder, R.M. “A Study of the Reliability and Validity of the Felder- Soloman Index of Learning Styles,” Proceeding of American Society Engineering Education
Page 22.1152.2student population is diverse in terms of age and experience, with a majority of students workingfull time in technical fields and continuing their education towards an engineering bachelordegree at the same time.VibrationsThe “Vibrations” course is a 4-credit, upper level required course in the Mechanical Engineeringprogram. The textbook used in the course is “Mechanical Vibrations” by S. Rao, now in its fifthedition6. The topics covered include single- and two-degree of freedom systems, free and forcedvibrations, an introduction to multi-degree of freedom and continuous systems, determination ofnatural frequencies and mode shapes, and vibration control.The Student Learning Outcomes are:1. Formulate and solve free vibration
, Ses-sion 0241. http://depts.washington.edu/englib/eld/conf/07/ABET-3i-Sheila-Young.pptv Association of College and Research Libraries. 2000. Information Literacy Competency Stan- dards for Higher Education. Chicago: ACRL, ALA.vi Knowles, M. S. 1975. Self-directed learning : a guide for learners and teachers. Cambridge Adult Education: Englewood Cliffs, NJ.vii R.M. Cervero, J. D. Miller, and K.H. Dimmock. 1986. “The Formal and Informal Learning Activities of Practicing Engineers.” Engineering Education. 77(2): 112-114viii Guglielmino, L. M. 1978. “Development of the Self-Directed Learning Readiness Scale.” Doctoral Dissertation, University of Georgia.ix Litzinger, T., J. Wise, S. Lee, and
careers. U.S. Department of Education, PLLI-98-8055. Available at http://www.ercassoc.org/nsf/engrg_paths/.2. Tinto, V. (1993). Leaving college: Rethinking the causes and cures of student attrition, (2nd ed.). The University of Chicago Press, Chicago.3. Tinto, V. (203, November 5-7). P r o m o t i n g s t u d e n t r e t e n t i o n t h r o u g h c l a s s r o o m p r a c t i c e . Presented at Enhancing Student Retention: Using International Policy and Practice. An international conference sponsored by the European Access Network and the Institute for Access Studies at Staffordshire University. Amsterdam Retrieved on 2010, September 8 from http
with demonstrable function (s). The designer presented sensible strategies for measuring the function (s) including uses of appropriate statistical tools. Extra point: Voted best design by the class (optional).The goals for this design challenge were to 1. learn to use a laser cutter, a relatively simple machining tool 2. learn to define and demonstrate function of an artifact 3. learn to measure functional performance using statistical tools Page 22.1596.4 4. learn to work within specific constraints (amount of material and shapes of basic building blocks
hydrolizes myelin glycoprotein6. Buanol via co-fermentation of T. Resei, R. erythroplis and immobilized C. beijerinckii.7. Expression of thermostable scaffoldin protein in S. solfataricus8. Site-directed mutagenesis of oxygen diffusion pathways in C. reinhardtii hydrogenase for enhanced oxygen tolerance9. Phototrophic biocathode for enhanced biomass photosynthesisMaterials-related10. Photon modulated On/Off switch via light oxidative voltage (LOV) protein.11. Organic solar cells via combined nanotube-bulk polymer heterojunctions12. Cation-exchange membrane formation via film forming and hot press lamination13. Increasing the efficiency of self-healing polymers14. Lithium ion battery electrolytes for low temperature
length using single-sided razor blades (never double-sided razors). More recently, aPCB milling machine has been employed to take direct CAD layouts and put them directly to theFR-4. In both schemes, pass band insertion losses of less than 0.2dB and stop band rejections ofgreater than 50dB are easily obtained using both techniques. The students then use an HP-8510BAutomatic Network Analyzer to measure the S-parameters of their final prototype and comparewith the original set of specifications. Figure 2 shows examples of two 3rd order commensurateline filters using both techniques. Page 22.1190.3Figure 2: Examples of student-designed nominal
modeling capability, productdatabases, validation, and economic analysis. All software tools provide effectivemodeling and simulation capabilities suitable for class room use.Bibliography[1] Department of Energy, “Annual Energy Outlook 2009,” 2009.[2] Fay, J. A., and Golomb, D. S., “Energy and Environment,” Oxford University Press, 2002.[3] Kutz, M., “Environmentally Conscious Alternative Energy Production,” John Wiley & Sons, 2007.[4] Hodge, B. K., “Alternative Energy Systems and Applications,” John Wiley & Sons, 2010.[5] Aung, K., “Design Exercises and Projects for Energy Engineering,” Proceedings of the 2005 ASEEAnnual Meeting & Exposition, Portland, Oregon, June 2005.[6] Gilman, P., Blair, N., Mehos, M., Christensen, C., Janzou, S
causes frustration for students is moving easily between verbal, symbolic, andgraphical representations. This represents a major challenge to students, especially in theirphysics classes. A quick look at a typical physics books used at TAMU14 reveals that almost allthe problems are presented verbally, although pictures are used on occasion. This is also the casewith optimization problems in calculus, which are often used as applications of the derivative.Often, students do not have any major difficulty in carrying out the mathematical manipulations.Rather, they struggle to convert the verbal description into a mathematical description. Studentsare unable to answer questions such as: 1. What is(are) the variable(s) of interest? 2
hydrolizes myelin glycoprotein6. Buanol via co-fermentation of T. Resei, R. erythroplis and immobilized C. beijerinckii.7. Expression of thermostable scaffoldin protein in S. solfataricus8. Site-directed mutagenesis of oxygen diffusion pathways in C. reinhardtii hydrogenase for enhanced oxygen tolerance9. Phototrophic biocathode for enhanced biomass photosynthesisMaterials-related10. Photon modulated On/Off switch via light oxidative voltage (LOV) protein.11. Organic solar cells via combined nanotube-bulk polymer heterojunctions12. Cation-exchange membrane formation via film forming and hot press lamination13. Increasing the efficiency of self-healing polymers14. Lithium ion battery electrolytes for low temperature
. J. R. Armstrong and F. G. Gray, "Fault Diagnosis in a Boolean n Cube Array of Microprocessors," IEEE Trans.on Comput., vol. C-30, pp. 587-590, Aug. 1981.2. P. Banerjee et al., "An Evaluation of System-Level Fault Tolerance on the Intel Hypercube Multiprocessor,"Proc. 18th Int'l Symp. on Fault-Tolerant Computing, pp. 362-367, 1988.3. K. Y. Chwa and S. L. Hakimi, "On Fault Identification in Diagnosable Systems," IEEE Trans. Comput., vol. C-30, pp. 414-422, June 19814. A. T. Dahbura and G. M. Masson, "An O(n2.5) Fault Identification Algorithm for Diagnosable Systems," IEEETrans. Comput., vol C-33, pp. 486-492, June l984.5. A. T. Dahbura, "System-Level Diagnosis: A Perspective for the Third Decade" Tech. Rept. AT&T Bell Labs.,1987.6. E
drawingsStudy school Unknown- depicting Male Female grade(s) gender personas engineers engineers engineersKnight &Cunningham9 3 – 12 189 21% 13% b 66%(2004) aFralick et al.7 3–8 526 69% 19% 12%(2009) aKaratas et al.8 6 20
numbering and language of the current version will be used.Although the ASCE member’s original indictment alleged false testimony before a grand jury,suggesting a violation of canon 3’s mandate to “issue public statements only in an objective andtruthful manner,” the CPC felt that the swift dismissal of the indictment and the member’ssubsequent assistance to the grand jury made it difficult to support a violation of that canon.Instead, the committee focused on the member’s confession that, at his supervisor’s direction, hehad falsified his time sheets to inflate the hours reported as time spent on the public project.Canon 4 of the code says that “engineers shall act in professional matters for each employer orclient as faithful agents or trustees
result, using inexpensive deposition equipment, students weresuccessful at constructing working OLEDs.Bibliography1 For details see The Royal Swedish Academy of Sciences website, www.kva.se.2 Recombination radiation in anthracene crystals, W. Helfrich and W. G. Schneider, Phys. Rev. Lett., 14, 229- 231 (1965).3 Organic Electroluminescent Diodes, C. Tang, and S. VanSlyke, App. Phys. Lett., 51, 913-915 (1987).4 Light-emitting diodes based on conjugated polymers, J. H. Burroughes, D. D. C. Bradley, A. R. Brown, R. N. Marks, K. Mackay, R. H. Friend, P. L. Burns, and A. B. Holmes, Nature, 347, 539–541 (1990).5 Bringing science policy into the optics classroom: Solid state lighting and United States lighting standards. S. K
: A North American perspective. International Journal for Educational Integrity, 1(1), 2/16/2010. Retrieved from http://www.ojs.unisa.edu.au/index.php/IJEI/article/view/147. McCabe, D. L. (1997). Classroom cheating among natural science and engineering majors Science and Engineering Ethics, 3(4), 433-445. doi:10.1007/s11948-997-0046-y8. Rimer, S. (2003). A campus fad that's being copied: Internet plagiarism seems on the rise. New York Times Online, Retrieved from http://www.nytimes.com/2003/09/03/nyregion/a-campus-fad-that-s-being-copied- internet-plagiarism-seems-on-the-rise.html?pagewanted=19. Whittington, J. & Colwell, J. (2009). Should a cyberethics class be required?: Plagiarism and online learning
are those ofthe authors and do not necessarily reflect the views of the National Science Foundation. Page 22.241.8References[1] ABET (2005). Criteria for accrediting engineering programs effective for the evaluations during the2006-2007 accreditation cycle. The Engineering Accreditation Board for Engineering and Technology.http://www.abet.org/eac/eac/htm.[2] National Academy of Engineering (2005). Educating the Engineer of 2020: Adapting EngineeringEducation to the New Century, Washington D.C.:National Academy Press.[3] Schaffer, S., Chen, X., Oakes, W. (2010). Measuring cross-disciplinary team learning inundergraduate project design
/faculties/ppsw/2005/m.p.j.van.der.gaag/.3. Dika, S. L. (2003). The effects of self-processes and social capital on the educational outcomes of high school students, Educational Research and Evaluation (Vol. PhD, pp. 210). Available from http://scholar.lib.vt.edu/theses/available/etd-05012003-162439/unrestricted/etd.pdf.4. Van Der Gaag, M. P. J., & Snijders, T. A. B. (2003). A comparison of measures for individual social capital. Paper presented at the Creation of and Returns to Social Capital. Retrieved from http://www.xs4all.nl/~gaag/work/comparison_paper.pdf.5. Van Der Gaag, M. P. J., & Snijders, T. A. B. (2005). The resource generator: social capital quantification with concrete items. Social Networks, 27(1), 1-29
Engineer of 2020: Visions of Engineering in the New Century, The National Academies Press.8. Nguyen, D. (1998). The Essential Skills and Attributes of an Engineer: A Comparative Study of Academics, Industry Personnel and Engineering Students. Global Journal of Engineering Education, 65-76.9. McIlwee, J.S. and Robinson, J.G., (1992) Women in Engineering: Gender, Power, and Workplace Culture, Albany, NY: State University of New York Press.10. Hyde, J. S., (2005) The Gender Similarities Hypothesis, American Psychologist, 60(6), pp. 581-592.11. Deno, J., (1995) The Relationship of Previous Experiences to Spatial Visualization Ability, Engineering Design Graphics Journal, pp. 5-17.12. Sorby, S.A., (2001) A Course in Spatial
-averageperformance for example, in a prerequisite course). In this case, a negative correla-tion between website use and final exam performance would not determine a negativeeffect. For this reason, Cramster website use was first compared with common mea-sures of students’ skills entering the course to determine whether a lack of preparationcaused a predisposition for website use. Scores on both the SAT Math test and thefinal exam of the prerequisite course were normalized; the Z score for a given student’sexam, s, is calculated by normalizing the deviation from the mean by the standarddeviation, or s−µ Zs = . (1
-semester EngineeringStudents and its Implementation in a Large Introduction to Engineering Course,” ASEEConference Proceedings, pp. 10135-10139, 2004.4M. Grimheden, “From Capstone Courses to Cornerstone Projects: Transferring Experience fromDesign Engineering Final Year Students to First Year Students,” ASEE Conference Proceedings,AC 2007-1582, 2007. Page 22.401.85 S. Ekwaro-Osire, J. J. Mendias III, and P. Orono, “Using Design Notebooks to Map Creativityduring Team Activities,” Proc. FIE Conference, 2009.6 H. Hassan, “Creativity and Innovation for Electrical and Computer Engineering Research,”Proc. ASEE Annual Conference, 2004.7 A. J. Wilkinson, R
a 10-Likert scale from Page 22.454.4zero to 100 rather than a 5-point Likert scale, because it is a stronger predictor of performanceand students, the population of interest, have a comfort level in being scored in school on a 100-point scale.5 Finally, the scale was modified in order to identify the impact of their serviceexperience(s) relative to their traditional (i.e., non-service-learning) coursework simultaneously.This was accomplished with a double-sided scale where the extremes represent 100% for oneintervention and 0% for the other intervention Example: 10CL/90SE = 10% from coursework learning/90% from service experienceA
-patterned adhesives," IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, Page(s): 105 - 111, February 2006.9. P. Glass, M. Sitti, and R. Appasamy, "A New Biomimetic Adhesive for Therapeutic Capsule Endoscope Applications in the Gastrointestinal Tract," Gastrointestinal Endoscopy, Vol. 65, No. 5, Page AB 91, April 2007.10. B. Kim, S. Park, C. Jee and S. Yoon, "An Earthworm-Like Locomotive Mechanism for capsule endoscopes," IEEE/RSJ International Conference on Intelligent Robots and Systems, Page(s): 2997 - 3002, August 2005.11. R. Siegwart and I. Nourbakhsh, "Introduction to Autonomous Mobile Robots," The MIT Press, 2004