engineering students.AcknowledgementThis material is based upon work supported by the National Science Foundation under Grant No.0832843. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.References[1] The 110th Congress, 2007, "America Creating Opportunities to Meaningfully Promote Excellence in Technology,Education, and Science Act: The America COMPETES Act," Public Law 110-69, US Government Printing Office,Washington, DC.[2] National Academy of Engineering, 2009, "Ethics Education and Scientific and Engineering Research: What’sBeen Learned? What Should Be Done? Summary of a Workshop at the National Academies Keck
-2010 Accreditation Cycle, Engineering AccreditationCommission (ABET). http://www.abet.org/Linked%20Documents-UPDATE/Criteria%20and%20PP/E001%2009-10%20EAC%20Criteria%2012-01-08.pdf.14. Pai, Devdas, et. al. Vertical Integration of the Undergraduate Learning Experience.http://soa.asee.org/paper/conference/paper-view.cfm?id=14129.15. Bloom, Benjamin S. and David R. Krathwohl. Taxonomy of Educational Objectives: The Classification ofEducational Goals, by a committee of college and university examiners. Handbook I: Cognitive Domain. New York:Longmans, Green, 1956.
FPGA.AcknowledgementThis work was supported by the Chesapeake Information Based Aeronautics Consortium (CIBAC) atMorgan State University.Reference1 S.D. Young, S. Kakarlapudi, and M. Uijt de Young, “A Shadow Detection and Extraction Algorithm Using Digital Elevation models and X-bandWeather Radar Measurements”, Int. J. Remote Sensing, 26(8): 1531-1549, 2005.2 Sonka Milan, Image Processing Analysis, and Machine Vision, 1999, California: Brooks/Cole Publishing Company3 Field Programmable Gate Array, http://en.wikipedia.org/wiki/FPGA (Accessed 7/22/2009)4 What is VHDL?http://74.125.47.132/search?q=cache:MlxxUJ50YEJ:www.doulos.com/knowhow/vhdl_designers_guide/what_is_vhdl/+what+is+VHDL%3F&cd=1&hl=en&ct=clnk&gl=us
Toyota World No. 1 Car Maker,” Reuters.com. Reuters. http:/www.reuters.com/article/businessnews/idUSN2424076820080124. Retrieved 19 April 2008.4. M. Adams, P. Componation, H. Czarnecki, and B. Schroer. “Simulation as a Tool for Continuous Process Improvement,” Proceedings of the 1999 Winter Simulation Conference, pp. 766-773, 1999.5. D. Reis and LPena. “Linking Customer Satisfaction, Quality, and Strategic Planning,” Revista de Administracao de Empresas, Vol. 40, No. 1, pp. 42-46, 2000.6. M. E. Pritchard and G. S. Wilson. “Using Emotional and Social Factors to Predict Student Success,” Journal of College Student Development, Vol. 44, No. 1, pp. 18-28, 2003.
Degree 5.9% (1) 5.9% (1) Other (undecided) 5.9% (1) 0 Intended Biology 7 respondents 9 respondentsAcademic Chemistry 7 respondents 7 respondentsField(s) of Computer Science 4 respondents 4 respondents Fall 2010 Mid-Atlantic ASEE Conference, October 15-16, 2010, Villanova UniversityStudy after Engineering 13 respondents 12 respondentsGraduation Health Sciences 3 respondents 3 respondents
Review on Women in Computing,” SIGCSE Bulletin, Vol. 34, No. 2, June, 2002, pp. 121-127. 2. Beyer, S., DeKeuster, M., Walter K., Colar, M., and Holcomb., C, “Changes in CS Students’ Attitudes Towards CS over Time: An Examination of Gender Difference,” ACM SIGCSE Bulletin 2005, Vol. 37, Issue 1, p. 392-396. 3. Chen, X., “Students Who Study Science, Technology, Engineering, and Mathematics (STEM) in Postsecondary Education,” U.S. Department of Education, NCES 2009-161, July 2009. 4. Murray, T. “Gender Equity in the Mathematics Classroom: Separate and Evaluate:, The Nueva Journal, 36(3) Summer 1995. 5. Jackson, C., “Can Single Sex Classes in Co-educational Schools Enhance the Learning Experiences
• Apparatus or System Design • Laboratory Functions • Use of Modern Engineering Tools • Societal/Global Perspectives • Interpretation of Results • Formulating Conclusions • Making RecommendationsFall 2010 Mid-Atlantic ASEE Conference, October 15-16, 2010, Villanova University • Effective Written Communication • Effective Oral Communication3) Prepare grading rubrics that evaluate student achievement of instructionalobjectivesThe elements identified in the previous section are relatively broad s. With no furtherguidance, gauging the performance of a specific student or team with respect to one ofthese (on, for example, a 1-10 scale) is quite subjective. Consequently, consistent withthe strategy outlined by Felder,5 detailed rubrics
will enhance the classroom experience.References1 Gardiner, K. M., and Ozturk, S., “Developing a Practical Engineering Experience for First Year Students,”Proceedings, ASEE Mid-Atlantic Section Spring Conference, Engineering Student Retention in the 21st Century,Raritan Valley Community College - April 23-24, 2004 (CD).2 Deanna R. Cerullo and Nick Nikitas.. “First Year Practical Engineering Experience-A Student View.”Proceedings, ASEE Mid-Atalntic Section Fall Conference.3 Deily, Robin. The Development of the First Year Engineering Experience, Fall 2010. Intervew by Jaime Alava.4/1/2010. Print. 26 Sep 2010.4 Yerk-Zwickl, Sherri. The Development of the First Year Engineering Experience, Fall 2010. Intervew by JaimeAlava. 4/7/2010
-2010 Accreditation Cycle, Engineering AccreditationCommission (ABET). http://www.abet.org/Linked%20Documents-UPDATE/Criteria%20and%20PP/E001%2009-10%20EAC%20Criteria%2012-01-08.pdf.14. Pai, Devdas, et. al. Vertical Integration of the Undergraduate Learning Experience.http://soa.asee.org/paper/conference/paper-view.cfm?id=14129.15. Bloom, Benjamin S. and David R. Krathwohl. Taxonomy of Educational Objectives: The Classification ofEducational Goals, by a committee of college and university examiners. Handbook I: Cognitive Domain. New York:Longmans, Green, 1956.
FPGA.AcknowledgementThis work was supported by the Chesapeake Information Based Aeronautics Consortium (CIBAC) atMorgan State University.Reference1 S.D. Young, S. Kakarlapudi, and M. Uijt de Young, “A Shadow Detection and Extraction Algorithm Using Digital Elevation models and X-bandWeather Radar Measurements”, Int. J. Remote Sensing, 26(8): 1531-1549, 2005.2 Sonka Milan, Image Processing Analysis, and Machine Vision, 1999, California: Brooks/Cole Publishing Company3 Field Programmable Gate Array, http://en.wikipedia.org/wiki/FPGA (Accessed 7/22/2009)4 What is VHDL?http://74.125.47.132/search?q=cache:MlxxUJ50YEJ:www.doulos.com/knowhow/vhdl_designers_guide/what_is_vhdl/+what+is+VHDL%3F&cd=1&hl=en&ct=clnk&gl=us
Toyota World No. 1 Car Maker,” Reuters.com. Reuters. http:/www.reuters.com/article/businessnews/idUSN2424076820080124. Retrieved 19 April 2008.4. M. Adams, P. Componation, H. Czarnecki, and B. Schroer. “Simulation as a Tool for Continuous Process Improvement,” Proceedings of the 1999 Winter Simulation Conference, pp. 766-773, 1999.5. D. Reis and LPena. “Linking Customer Satisfaction, Quality, and Strategic Planning,” Revista de Administracao de Empresas, Vol. 40, No. 1, pp. 42-46, 2000.6. M. E. Pritchard and G. S. Wilson. “Using Emotional and Social Factors to Predict Student Success,” Journal of College Student Development, Vol. 44, No. 1, pp. 18-28, 2003.
, goal setting and potency, to measure a student’s individual perception on theirteammates’ effectiveness. The detailed description of the 9-item questionnaire is listed in table 1.The first letter item ID column represents the corresponding construct: I= Interdependency; G=Goal Setting and P= Potency. Table 1 9-item Peer evaluation questionnaire Item ID Item Description I1 Collaborates well with my team on all in-class and out of the class assignments. I2 Contributes to my team's effectiveness by having a clearly defined role(s). I3 Is a reliable team member. G1 Often helps my team think of what we were/were not achieving. G2 Articulates individual goals that can
: Increasing theRepresentation of Women in STEM via a New Interdisciplinary Engineering Program at aLiberal Arts Women’s College, 2005-2009Bibliography 1. The Engineer of 2020: Visions of Engineering in the New Century, National Academy of Engineering, National Academies Press, 2005 2. Unger, S. H., “Controlling Technology: Ethics and the Responsible Engineer,” 2nd ed., Wiley-Interscience, 1994. 3. ABET Engineering Accreditation Commission, “Criteria for Accrediting Engineering Programs, Effective for Evaluations During the 2009-2010 Accreditation Cycle,” ABET, Inc., www.abet.org. 4. Vanderburg, W.H. and Khan, N., “How Well is Engineering Education Incorporating Societal Issues?,” Journal of Engineering
outcome of the commercialization plan development being a Page 15.1386.8primary driver. Of critical importance is the ability to engage students in businessactivities beyond the traditional professional service role (i.e. entrepreneurialactivities).AcknowledgementsThe work presented herein is funded in part through a grant from the KentuckyScience and Engineering Foundation, project number KSTC-144-401-07-016,COMMFUND-713-RFP-006.Bibliography 1. Ernest, A. N. S., N-B. Chang, R. Fowler, J. R. Fattic, K. Andrew, and J. Ballweber, "Water Resource Management Capacity Development: A Small Systems Technology Transfer Model", 2009 ASEE Annual
knowledge learned in the classroom. Students can then be guided totransfer the specific insights from one assignment into the potential of benefits of compositematerials in other engineering applications. Page 15.655.12References[1] Y. Dong and J. El-Sayed, Mechanics, Process, and Design Simulation of Fiber- Reinforced Composite Materials – a New Course Development, ASEE Annual Conference & Exposition, Paper # AC 2007-1005, Honolulu, Hawaii (2007).[2] Boss, S., Krauss, J., Reinventing project-based learning: Your field guide to real-world projects in the digital age. Eugene, OR: International Society for Technology in
. Page 15.920.127. V. Elango and L. Karunamoorthy, “Effect of lighting conditions in the study of surface roughness by machine vision - an experimental design approach”, Int J Adv Manuf Technol, v 37, p. 92-103, 2008.8. X. Li, L. Wang, and N. Cai, “Machine-vision-based surface finish inspection for cutting tool replacement in production,” Int. J. Prod. Res., v 42, n 11, p. 2279-2287, 2004.9. E. Alegre, J. Barreiro, M. Castejón, and S. Suarez, “Computer Vision and Classification Techniques on the Surface Finish Control in Machining Processes,” ICIAR 2008, LNCS 5112, pp. 1101-1110, 2008.10. F. Luk, V. Huynh, and W North, “Measurement of surface roughness by a machine vision system,” J. Phys. E: Sci
specialization.References 1. The Earth Charter, http://www.earthcharterinaction.org/content/pages/Read-the-Charter.html 2. Rio Declaration on Environment and Development, http://www.unep.org/Documents.Multilingual/Default.asp?DocumentID=78&ArticleID=1163 3. Agenda 21, http://habitat.igc.org/agenda21/ 4. Arrow, K.J. and Fischer, A.C. (1974), "Environmental preservation, uncertainty and irreversibility", Quarterly Journal of Economics 88(2):312-319. 5. http://en.wikipedia.org/wiki/Life_cycle_assessment 6. Nair, I., Life Cycle Analysis and Green Design: A Context for Teaching Design, Environment, and Ethics, JEE, October 1998, 489-494. 7. Nair, I., S. Jones and J. White, A curriculum to enhance environmental
the Internet-controllable vortex tube consists of:̇ Source of compressed air (5HP electric compressor and air dryer unit)̇ Pressure transducers (Omega Dyne Inc; Model: PX209-200A5V)̇ Temperature transducers (Omega Engineering Inc; Model: TX91A-K2) Page 15.550.6 ̇ Vortex Tubė National Instrument-DAQ card (16 inputs, 16 bits, 200KS/s, Multifunction I/O for USB)̇ LabVIEW software and server (Host Computer, IP Address: 144.118.xx.xxx)̇ Client (PC downloaded with LabView Runtime Engine)̇ Network IP Camera (Toshiba, Model: IK-WB21A with 22 x optical zoom, pan, tilt features)̇ Flow Transducer
tourists.Things were certainly much different than they were in the 1950’s when he first arrived.He spoke eloquently of how the native culture was no longer strong nor as vibrant as itonce was. Now he felt an outsider in the land he once called home. The juxtaposition ofthat homeless man with his garbage bag filled with his entire earthly holdings alongsidethe opulence of lavish meals served at ocean-side restaurants is an image that has hauntedus. The present work is our effort to respond.References1. Davis, Michael, Thinking Like an Engineer, Oxford University Press, 19982. Bruntland Commission (1987) Our Common Future, World Commission on Environment and Development, 1987. Published as Annex to General Assembly document A/42/427, Development and
the underlying electrical concepts in addition to demonstrating the measurement techniques. In the future, student feedback will be collected and analyzed statistically to study the effectiveness of these demonstrations. Bibliography 1. Xu, et. al., (2009). BEEM: A project to enhance lab and design skills for BME students. 2009 BMES Annual Meeting 2. Rosser, S. V. (1997). Reengineering female friendly science. Athene series. New York: Teachers College Press. Page 15.1266.113. http://ece2.rosehulman.edu/beem/
::). The cell that’s value must bechanged during the iteration process is identified (A9). By clicking on the Solve button, thevalues of the cells are automatically changed for the desired solution. A new dialog box opensconfirming that the Solver found a solution, as shown in Fig. 4-c. The Solver returns a value of26.063 oC for the dew point temperature, as shown in Fig. 4-d.Exercise 5:Moist air enters a duct at 10 oC, 0.101 MPa, relative humidity of 75%, and a mass flow rate of3.0 kg/s. Air is heated at a rate of 60 kW as it flows through the duct. No moisture is added orremoved during this process. Evaluate the temperature and relative humidity of the exit.Solution:Identifying the duct inlet as state 1 and the exit as state 2, the following
No.NNG05GF80H. Any opinions, findings, and conclusions or recommendations expressed in this material are those Page 15.820.2of the author(s) and do not necessarily reflect the views of NASA or the NASA WV Space Grant Consortium.While improved student performance in calculus was the primary objective of this effort, theexperience of developing and implementing the math-engineering joint projects has resulted inimproved communication between both departments and has helped the math faculty see howstudents work in groups to discuss and solve problems and to create reports and presentations oftheir work. The interactive nature of these problems
. Page 15.853.95. Fowler, F.J. (1995). Improving survey questions: Design and evaluation. Applied Social Research Methods Series,38.6. Hesketh, R., Slater, C., Savelski, M., Hollar, K., & Farrell, S. (2004). A program to help designing courses tointegrate green engineering subjects. International Journal of Engineering Education, 20 (1), 113 – 122.7. Johnson, D.W. & Johnson, R.T. (1990). Learning together and alone: Co-operation, competitionand individualisation. Englewood Cliffs, NJ: Prentice-Hall.8. Likert, R. (1932). A technique for the measurement of attitudes. Archives of Psychology, 140, 1–55.9. Mott, R., Neff, G., Stratton, M., & Summers, D. (2002). Future directions for mechanical, manufacturing, andindustrial engineering
, Oregon, June 12-15, 2005, http://www.asee.org/acPapers/code/getPaper.cfm?paperID=89639. M. Whitt, R. Handy and M. Ratcliff. "Technology students: Their role in the global economy". American Society of Engineering Education (ASEE) 2006 Annual Conference, American Society of Engineering Education (ASEE), Chicago, Illinois, June 18-21, 2006, http://www.asee.org/acPapers/code/getPaper.cfm?paperID=11023&pdf=2006Full2642.pdf10. Khan, S. and Kissick, B. "Beating the competition down with the stick of education: A winning strategy for a global world". ASEE Annual Conference Proceedings 2008, ASEE, Pittsburgh, PA, June 22-25, 2008, http://soa.asee.org/paper/conference/paper-view.cfm?id=934311. Committee on the Offshoring of
engagement, b) includeactive and cooperative learning and c) implement peer instruction. In addition, the fill-insheets have enabled differentiated instruction in the class room, by adding symbolicsolutions to challenge the advanced student, while helping the average and below averagestudent solve the basic problem using numbers. Aside from these an equal number ofproblems are given as homework which have varying degrees of fill-in to inculcate andtrain students in problem solving. Additionally, detailed solutions are made available toimprove problem solving skills, while teaching methodologies. Student surveys indicatethat these fill-in sheets have increased their learning.Bibliography1. Smith, K. A., Sheppard, S. D., Johnson, D. W. and, Johnson
disseminated onthe project’s website soon after its implementation. This template consists of the followingblocks: 1) Summary – goal to be achieved by students; 2) Objectives – skills to be acquired bystudents; 3) Standards to be addressed; and 4) Lesson Information – Grade Level, Subject Area,Duration, Setting, Materials Needed, Background Knowledge, Lesson Plan(s) details, andAdditional Resources (learning objects, timelines, assessment rubrics, surveys, etc.). Item 4includes detailed information provided via hotlinks. The Fellow submits the final lesson to theGrant Coordinator for checking and approval before implementation. On the average it takesabout six weeks to develop a lesson before implementation.Most of the lessons that have been created
Phys., 66 (1), 64-74.3. Johnson, D., Johnson, R., & Smith, K. (1998). “Cooperative Learning returns to college: What evidence is there that it works?” Change, July/August, 27 - 35.4. MacGregor, Jean, Cooper, J., Smith, K., and Robinson, P. (2000). Strategies for Energizing Large Classes: From Small Groups to Learning Communities, Jossey Bass Publisher, San Francisco, CA.5. Mazur, Eric (1997). Peer Instruction. Prentice Hall, NJ.6. Smith, K. A., Sheppard, S. D., Johnson, D. W. and, Johnson, R. T. (2005). Pedagogies of Engagement: Classroom-Based Practices. Journal of Engineering Education, Volume 94, Issue 1, pp 87 – 1017. Mechanics Readiness test. (http://comp.uark.edu/~jjrencis/aseemechanics/education/Mechanics
the effort to develop the post-test for the lesson. Awell-defined template is used by the Fellow to create the lesson, which can be disseminated onthe project’s website soon after its implementation. This template consists of the followingblocks: 1) Summary – goal to be achieved by students; 2) Objectives – skills to be acquired bystudents; 3) Standards to be addressed; and 4) Lesson Information – Grade Level, Subject Area,Duration, Setting, Materials Needed, Background Knowledge, Lesson Plan(s) details, andAdditional Resources (learning objects, timelines, assessment rubrics, surveys, etc.). Item 4includes detailed information provided via hotlinks. The Fellow submits the final lesson to theGrant Coordinator for checking and approval before
GillichBibliography1. Bourne, J., D. Harris, and F. Mayadas, Online Engineering Education: Learning Anywhere, Anytime. Journal of Engineering Education, 2005. 94(1): p. 131-146.2. ABET, Criteria for accrediting engineering programs. 2005, ABET: Baltimore, MD.3. Trapp, S., Blended Learning Concepts – a Short Overview, in Innovative Approaches for Learning and Knowledge Sharing, E. Tomadaki and P. Scott, Editors. 2006, Sun SITE Central Europe: Aachen, Germany. p. 28-35.4. Schramm, D., Global challenges for engineering educators: lessons from an online masters degree for practicing engineers, in 2002 ASEE/SEFI/TUB Colloquium. 2002, American Society for Engineering Education: Berlin, Germany.5. Allen, I.E., J
STEP Fellows from 2006 to 2009 elucidates the role of the university graduatestudent in the STEP program. Each Fellow stands in a unique position as a kind of pivot pointamong high school and university educators, high school students, and the university researchenvironment. Effects of the experience, voiced through the mouths of the participants, rangefrom purposeful enthusiasm to the need for resolution. For most of the Fellows, STEP is an “eye-opener” into teaching, and most (67%) Fellows state that they want to teach at some level in thefuture. One Fellow states that STEP “help[s] me see and understand realities of teaching.” STEPhas an overall positive effect on the majority (70%) of Fellows based on the online survey asshown in Figure 4