Effective Teams. Journal of Student Centered Learning, 2: 9-34.4. R. Marra, K. Rodgers, D. Shen, and B. Bogue, 2009. Women Engineering Students and Self-Efficacy: A Multi- Year, Multi-Institution Study of Women Engineering Student Self-Efficacy. Journal of Engineering Education, 98: 27-38.5. A. Bandura, 1977. Self- Efficacy: Toward a Unifying Theory of Behavioral Change. Psychological Review, 84: 191-215.6. A. Carberry, H-S Lee, and M. Ohland. 2010. Measuring Engineering Design Self-Efficacy. Journal of Page 22.739.8 Engineering Education, 99: 71-79.7. R. Felder, G. Felder, M. Mauney, C. Hamrin, and E
., Steadman, J. W., Tietjen, J. S., White, K. R., & Whitman, D. L. (2005). Using the fundamentals of engineering (FE) examination to assess academic programs. Clemson: National Council of Examiners for Engineering and Surveying.McNeel, S. P. (1994). College teaching and student moral development. In J. R. Rest & D. Narvâaez (Eds.), Moral development in the professions: Psychology and applied ethics (pp. 27-49). Hillsdale, N.J.: L. Erlbaum Associates.National Council of Examiners for Engineering and Surveying. (2008). Exam development procedures manual: Exam development, scoring, and general procedures: NCEES.Pascarella, E. T., & Terenzini, P. T. (2005). How college affects students : a third decade of
achievements for theperformance indicators, the capstone course assessment can be viewed as a significant indicatorfor the program assessment, as well. It is a best practice that the set of performance indicatorsand rubrics used for identifying the gaps and assessing the course should be developed incollaboration with the program faculty and stakeholders.References1. Henscheid, J. M., “Professing the disciplines: An analysis of senior seminars and capstone courses,” National Resource Center for the First Year Experience and Students in Transition, Monograph No. 30, Columbia, SC: University of South Carolina, 2000.2. Kerka, S., “Capstone experiences in career and technical education,” Practice Application Brief No16, Clearing house on Adult
studentsagree or disagree with a survey question.Question Survey QuestionNumber1 I understand which technical communication skills are needed and how they are used in a STEM (science, technology, engineering, or mathematics) career field.2 I can compose a standard business letter.3 I can compose a standard interoffice memorandum (memo).4 I can create a data spreadsheet and related graph(s) for the data using a typical spreadsheet program such as Microsoft Excel ®.5 I can compose a complete technical report including title page, cover letter, table of contents, and body of the report.6 I understand what skills are necessary for a team to function
concepts inelectrical and computer engineering at a much deeper level so that they can participate fully inthe design, construction, and testing of mechanical systems. This is forcing changes in theundergraduate ME curriculum. Starting in the 1970‟s,5,6 microprocessors have been incorporatedinto ME courses, usually in a senior technical elective or laboratory course at a number ofschools. Coursework on mechatronics, a discipline form at the overlap between mechanical,electrical, and computer engineering, exist in almost all engineering schools with minors anddegree programs available at some institutions.While a two-course sequence in mechatronics is routinely offered to seniors at Virginia Tech anda Minor in Mechatronics is under consideration
by Sheila Tobias3 and Richard Felder4 in the 1990’s are “second tier” engineeringstudents. Tobias3 defines first tier engineering students as those who have intentions and abilityto earn science degrees and do so. Second tier are students who have the initial intention andability but instead switch to nonscientific fields. For many engineering students who start atcommunity colleges or are a “second tier” student, the calculus math sequence is a key factor intheir decision to complete an engineering degree and then their time to graduation. This is due inpart to the math prerequisites required for engineering and physics courses. To finish anengineering degree in four years, a student needs to start in calculus 1 in the fall of the first
allowed waste-to-energy plants to become highly clean. 3. Explain the important issues and environmental impacts USA is suffering environmental costs by not utilizing the potential of waste to energy plants. The environmental impact is higher greenhouse gas emissions and loss of cheap electricity. 4. Recommended actions. Create awareness that waste-to-energy plants do not mean the end of recycling Streamline the process of selecting and building the incinerators Change public perception by educating them about effective operation of waste to energy plants elsewhere Government funding 5. Based on your analysis/reflection of the environmental impacts what action(s) you would like to take
and World Reports http://www.usnews.com/rankings, 2010.10 Lynch, D. R., Russell, J. S., Mason, J. M. and Evans, J. C. “Claims on the Foundation: Professionalism and its Liberal Base,” ASCE Journal of Professional Issues in Engineering Education and Practice, Volume 135, Issue 3, pp. 109-116 (July 2009).11 Lynch, D. R., Russell, J. S., Evans, J. C. and Sutterer, K. G. (2008), “Beyond the Cognitive: The Affective Domain, Values and Achievement of the Vision,” ASCE J. of Professional Issues in Engineering Education and Practice, Vol.135, No.1, pp.47-56. (January 2009).12 The Vision for Civil Engineering in 2025, ASCE, 2007
). Page 22.927.87 Nakajima, K. & Hori, M. in 2009 2nd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2009, August 8, 2009 - August 11, 2009. 319-322 (IEEE Computer Society).8 Huang, Y.-M., Kuo, Y.-H., Lin, Y.-T. & Cheng, S.-C. Toward interactive mobile synchronous learning environment with context-awareness service. Computers and Education 51, 1205-1226 (2008).9 Dagon, D., Martin, T. & Starner, T. Mobile phones as computing devices: The viruses are coming! IEEE Pervasive Computing 3, 11-15 (2004).10 Maniar, N., Bennett, E., Hand, S. & Allan, G. The effect of mobile phone screen size on video based learning. Journal of Software 3, 51-61 (2008
documents seemed veryuseful to evaluate any of the 3 skill areas for a pilot. However, an interesting idea surfacedregarding the team status meetings with the instructor in which an interview Q&A style could beused to gather sufficient evidence.A pilot was conducted in spring 2010 involving the capstone for Electrical Engineering as wellas Computer Engineering majors. The face-to-face meetings with the teams provided anexcellent opportunity to evaluate the skill levels. The instructor reported that each teamemployed all 3 skills at one or more point(s) during the semester. The results are shown in Table5 for all 6 teams. Good performance was observed in 2-3 teams for each skill; however, the bestteams were not always the same. No team
Cliffs, NJ: Prentice-Hall, 1986.3. Bandura, A. "Social Cognitive Theory in cultural context." Applied Psychology: An International Review. 51,2002, pp. 269-290.4. Concannon, James P. and Lloyd H. Barrow. "A Cross-Sectional Study of Engineering Students' Self-Efficacy byGender, Ethnicity, Year and Transfer Status." Journal of Science, Education and Technology 18 (2), 2009, pp. 163-172.5. Ponton, Michael K., Julie Horine Edmister, Lawrence S. Ukeiley, and John M. Seiner."Understanding the role ofself-efficacy in engineering education." Journal of Engineering Education 90 (2), 2001, pp. 247-251.6. Pajares, Frank. "Current directions in self-efficacy research." In M. Maehr and P.R. Pintrich, eds., Advances inmotivation and achievement 10, 2007
automotivelaboratory and research activities. 6. References1. Bosch Automotive Proving Grounds http://www.bosch.us/content/language1/html/2744.htm, retrieved on 01/15/2011.2. Laurent, J., Talbot, M., Doucet, M., Road surface inspection using laser scanners adapted for the high precision 3D measurements of large flat surfaces, Proceedings of International Conference on Recent Advances in 3-D Digital Imaging and Modeling; 12-15 May 1997 pp. 303 – 310.3. Si-Jie Yu, Sreenivas R Sukumar, Andreas F Koschan, David L. Page, and Mogi A Abidi; 3D reconstruction of road surfaces using integrated multi-sensory approach; Optics and lasers in Engineering; Volume 45, Issue 7; July 2007; pp. 808-818.4. Tarel, J. P. , Ieng, S.-S., and Charbonnier, P
Press.3. Moran, J. 2002. Interdisciplinarity, New York: Routledge4. Rhoten, D., and Pfirman, S. 2007. Women in interdisciplinary science: Exploring preferences and consequences. Research Policy, 36(1), 56-75.5. Geiger, R., and Sa, C. 2005. Beyond technology transfer: new state policies to harness university research for economic development, Minerva, 43(1), 1-21.6. Lattuca, L., Vogt, L., and Fath, K. 2004. Does interdisciplinarity promote learning? Theoretical support and researchable questions. Review of Higher Education, 28(1), 23-48.7. Borrego, M., and Newswander L. 2008. Characteristics of successful cross-disciplinary engineering education collaborations. Journal of Engineering Education, 97(2), 123-134.8. Qualters, D., Sheahan
Creativity, Self-regulated Learning, and Motiva- tion through Cyberinfrastructure-enabled Problem/Project-based Learning”, American Education Science Review, vol. 1, no. 1, February, 2010 Wei Zheng, Jianjun Ying, Gordon Skelton, Huiru Shih, Tzusheng Pei and Evelyn Leggette, ”Strategies in Science and Engineering Studies”, Journal of Information Systems Technology and Planning, vol. 2, issue 3, winter 2009. N. Meghanathan, S. Sharma and G. W. Skelton, ”Use of Mobile Sinks to Disseminate Data in Wireless Sensor Networks,” International Journal of Information Processing, vol. 2, no. 2, April/ May 2008. Marc Bitner, Gordon Skelton, ”Low Cost, Highly Effective Parallel Computing Achieved Through a Beowulf Cluster
Tropical Land-Use Change: Greenhouse Gas Emissionsfrom Biomass Burning, Decomposition and Soils in Forest Conversion, Shifting Cultivation andSecondary Vegetation”, Climatic Change, 46(1-2), p. 115-158, (2000).2 “The Revised 1996 Intergovernmental Panel on Climate Change Guidelines”, http://www.ipcc-nggip.iges.or.jp/public/gl/invs1.html3 P. M. Cox, R. A. Betts, C. D. Jones, S. A. Spall and I. J. Totterdell, “Acceleration of globalwarming due to carbon-cycle feedbacks in a coupled climate model”, Nature 408, p. 184-187(2000).4 M. Asif and T. Muneer, “Energy Supply, its Demand and Security Issues for Developed andEmerging Economies”, Renewable and Sustainable Energy Reviews, 11(7) p. 1388-1413, (2007).5 Department of Energy, “Green Technology
of “why” women departengineering.References1. Schneider, C.G. and D. Humphreys, Putting Liberal Education on the Radar Screen. Chronicle of Higher Education, 2005. 52(5): p. B20-B20.2. Nationl Center for Education Statistics, Persistence and Attainment of 2003-04 Beginning Postsecondary Students: After 6 Years, T. Hunt-White, Editor. 2010, U S Department of Education: Washington, DC.3. Brainard, J. and A. Fuller, Graduation Rates Fall at One-third of 4-Year Colleges, in The Chronicle of Higher Education. 2010: Washington, DC.4. Atman, C.J., et al., Enabling engineering student success: The final report for the Center for the Advancement of Engineering Education. 2010, San Rafel, CA: Morgan &
aregiven for each of the twelve categories. (The accompanying key indicates what each of thesenumbers represents.) Page 22.1102.5 Table B: Four Types of Communication Assignments for Engineering DesignExploratory Activities Heuristics for Higher-Order Document Components Final Artifact(s)(CPR mediated) Mental Manipulations (CPR mediated) (CPR mediate)Assignments to foster Assignments that reflect Assignments that enact The final product (devicediscovery. the “rationalization” of the more “formal
). American Society for Engineering Education. 13. Orr, J.A., D. Cyganski, R. Vaz, “Teaching Information Engineering to Everyone,” Proceedings of the 1997 American Society for Engineering Education Annual Conference (1997). American Society for Engineering Education. 14. Pisupati, S. Jonathan P. Mathews and Alan W. Scaroni, “Energy Conservation Education for Non- Engineering Students: Effectiveness of Active Learning Components,” Proceedings of the 2003 American Society for Engineering Education Annual Conference (2003). American Society for Engineering Education. 15. National Science Foundation, Science and Engineering Indicators, http://www.nsf.gov/statistics/seind04/., Accessed
teaching and learning. Journal of Research in Science Teaching, 28(2), 163-182.2. Davis, E.A. (2003). Prompting middle school science students for productive reflection: Generic and directed prompts. The Journal of the Learning Sciences, 12(1), 91-142.3. Katz, S., O’Donnell, G., & Kay, H. (2000). An approach to analyzing the role and structure of reflective dialogue. International Journal of Artificial Intelligence in Education, 11(3), 320-343.4. Lee, A., & Hutchison, L. (1998). Improving learning from examples through reflection. Journal of Experimental Psychology Applied, 4, 187-210.5. Moreno, R., & Mayer, R. (2005). Role of Guidance, Reflection, and Interactivity in an Agent-Based Multimedia Game
improvement in the capstone courses. The first module is anintroduction to systems engineering while other modules relate to systems engineering toolsthat are taught „just-in-time‟ to support completion of the capstone design projects.Implementation Method:The SE training modules were developed by an Industrial and Systems Engineering facultymember under the consultation of the Assistant Director of Wayne State University‟s Office ofTeaching and Learning.The process began with the development of an instructional design matrix which included:Instructional Goal, Objectives, Assessment Methodology, Information Presentation, Practiceand Feedback, and the Media and Materials to be used (4). An example of an InstructionalGoal was: “Students will be able to
goodpartners/partnerships, and identifies some of the benefits for the parties involved.Introduction: Engineering is ElementaryEngineering is Elementary (www.mos.org/eie) is a research-based, standards-driven, andclassroom-tested curriculum developed by the Museum of Science, Boston that integratesengineering and technology concepts and skills with elementary science topics. EiE materialsalso connect with literacy, social studies, and math. Each of the 20 EiE units reinforces oneelementary science topic, focuses on one field of engineering, and is set in a different country.The units each begin with an illustrated storybook in which a child confronts a problem. S/hesolves it with the mentoring of an adult engineer who introduces the child to the
. Page 22.1342.918. Marceglia S, Bonacina S, Mazzola L, Pinciroli F. Education in biomedical informatics: learning by doing bioimage archiving. Conf Proc IEEE Eng Med Biol Soc. 2007;2007:5924-5928.19. Newstetter WC. Fostering integrative problem solving in biomedical engineering: the PBL approach. Ann Biomed Eng. Feb 2006;34(2):217-225.20. Sachdeva AK. Surgical education to improve the quality of patient care: the role of practice-based learning and improvement. J Gastrointest Surg. Nov 2007;11(11):1379-1383.21. Van Ginneken CJ, Vanthourout G. Rethinking the learning and evaluation environment of a veterinary course in gross anatomy: the implementation of an assessment and development center and an E-learning
italics were from a previous year. Students were provided the same detailedinformation in the syllabus about the desktop module as in Year 1, but were told that last year’sstudents already completed that. The Year 2 students were told that they were to modify thoseprojects to fix short-comings indicated in the assessments from Year 1. Relevant project reportswere handed over (with grades redacted), which gave the new student teams a place to start. Theywere also given the name of the team leader from the previous year(s) to use as areference/resource.In an effort to help mitigate students back-loading the work on the project to the end of thesemester, teams were required to hand in a weekly memo, which updated the instructor on theprogress on
. & Fig. 4. (i) Fuzzy Inference System and (ii) Output P Z NS NM Membership functions.Table 1 provides the fuzzy tuning rules for the Mamdani type direct fuzzy controller used for thespeed control of the DC servo-motor.Figures [3] and [4] give a schematic overview of the Mamdani type fuzzy controller5,6 developedusing MATLAB‟s Fuzzy Logic Toolbox(FLT) for the servo-motor speed control. The FLTprovides five graphical user interfaces (GUI) tools for building, editing, and observing fuzzyinference systems(FIS): (i)FIS editor (Fig 3),(ii) the Membership Function Editor that is used forboth the input space and output space ( Fig 4), (iii) the Rule Editor(Fig 5), (iv) the SurfaceViewer(Fig 6) and (vii) the
start here); the “Laplace Transform background” topic has an occurrence which is a webpage describing background necessary to continue in the topic. Other topics are arranged aroundthe main topic. Page 22.1535.7If, for example, the student wants to learn about the Laplace transform table s/he can select thattopic and bring it to the center. Clicking on the encircled “4” reveals occurrences associatedwith the topic as shown in figure 6. In this case this is four links; one to a Laplace transformTable, another describing how the table is used, a third one with some examples, and a last onewith problems to be completed. Figure 6: Topic of
activities to foster student learning. Finally, we would like tothank the National Electrical Contractors Association Green Energy Challenge which inspired us todevelop this project.Bibliography1. Bonds, C.; Cox, C. III; and Gantt-Bonds, L. “Curriculum Wholeness through Synergistic Teaching.” The Clearing House 66/4 (1993): 252-254.2. Bonwell, C.C. and Eison, J.A. Active Learning: Creating Excitement in the Classroom. ASHE-ERIC Higher Education Report No. 1, George Washington University, 1991.3. Felder, R.M. and Brent, R. Cooperative Learning in Technical Courses: Procedures, Pitfalls, and Payoffs. ERIC Document Reproduction Service Report ED 377038, 1994.4. Hanna, Awad S., Russell, Jeffery S., Gotzion, Timothy W., and Nordheim
frontier: an empirical exploration. ResearchEvaluation 2006, 15, (1), 17-29.10. Fruchter, R.; Emery, K. In Teamwork: Assessing cross-disciplinary learning, Conference on Computersupport for collaborative learning, Palo Alto, CA, 1999; International Society of the Learning Sciences: Palo Alto,CA, 1999; p 19.11. Schaffer, S. P.; Lei, K.; Paulino, L. R., A framework for cross-disciplinary team learning and performance.Performance Improvement 2008, 21, (3), 7-21.12. Muis, K. R.; Bendixen, L. D.; Haerle, F. C., Domain-generality and domain-specificity in personalepistemology research: Philosophical and empirical reflections in the development of a theoretical framework.Education Psychology Review 2006, 18, (1), 3-54.13. Klein, J. T
to examine impact andeffectiveness will be needed. REFERENCES1. Schneider, C.G. and D. Humphreys, Putting Liberal Education on the Radar Screen. Chronicle of Higher Education, 2005. 52(5): p. B20-B20.2. Alexander, L. (2010) A federal Impediment to quicker degrees. Inside Higher Ed.3. Nationl Center for Education Statistics, Persistence and Attainment of 2003-04 Beginning Postsecondary Students: After 6 Years, T. Hunt-White, Editor. 2010, U S Department of Education: Washington, DC.4. Brainard, J. and A. Fuller, Graduation Rates Fall at One-third of 4-Year Colleges, in The Chronicle of Higher Education. 2010: Washington, DC.5. Atman, C.J., et al., Enabling
”, Information and Management 43 (1) (2006), pp. 15–273. P. Herder, E. Subrahmanian, S. Talukdar, A. Turk, W. Westerberg, “ S”. “The use of video-taped lectures and web-based communications in teaching: A distance-teaching and cross-Atlantic collaboration experiment”, European Journal of Engineering Education, Vol. 27, Issue 1, pp. 39 – 48, March 2002 Page 22.1335.7Appendix A LECTURE VIDEO SURVEY This questionnaire is designed to assess your perceptions of the use of lecture videos as a means to increase time for in class problem solving applications. Please answer the questions as
Weight Outcomes /Performance Questions Value Classification of test Criteria #s Use basic laws (Ohm’s 3(b) – 3: Apply Knowledge 1/(30) 2 1.89 law, power law, appropriate Comprehension 1/(29) 3 2.83 Kirchhoff’s law) to knowledge of Analysis 1/(24) 5 4.72 analyze and solve series scientific, circuits, parallel