status and improving the prospects. Washington, D.C: National Academies Press3. Bergin, D., Lynch, J., Khanna, S. K., & Nair, S. S. (2007). Infusing design into the G7-12 curriculum: two example cases. International Journal of Engineering Education, 23(1), 43-49.4. Linn, M. C., Davis, E. A. & Bell, P. (2004). Internet environments for science education. Mahwah, NJ: Lawrence Erlbaum Associates, Inc.5. Burghardt, M. D., & Hacker, M. (2004). Informed Design: A contemporary approach to design pedagogy as the core process in technology. Technology Teacher, 64,(1). 6.6. Dym, C. L., Agogino, A. M., Eris, O., Frey, D. D., & Leifer, L. J. (2005). Engineering design thinking, teaching, and learning. Journal of Engineering Education, 94
, Stylus Publishing, LLC,2004. Page 25.1005.75. Toohey S., "Designing courses in Higher Education", Buckingham, UK: SRHE and Open University Press,1999.6. F.P. Deek, F.P., Kimmel, H., & McHugh, J., “Pedagogical changes in the delivery of the first course in computer science: Problem solving then programming”, Journal of Engineering Education, 87, 3, pp. 313-320, July 1998.7. Meier, R.L., Williams, M.R., and Humphreys, M.A., “Refocusing our efforts: assessing non-technical competency gaps”, Journal of Engineering Education, 89, 3, pp. 377-385. 2000.8. Massa N.M., Masciadrelli G.J, Mullett G.J., " Re-Engineering Technician
DescriptivesLicense(s) 95% Confidence Interval for Mean N Mean Std. Deviation Std. Error Lower Bound Upper Bound Minimum MaximumKindergarten 20 3.10 1.447 .324 2.42 3.78 2 7Primary 181 2.88 1.208 .090 2.71 3.06 2 10Secondary 2773 2.63 1.203 .023 2.58 2.67 2
C lassification Price S ound Features S ecurity S till picture Topics Transm ission speed Virtual Zoo C hildren G am e A
foundations of systemsengineering.IntroductionIt is increasingly recognized that the context of engineering is one dominated by systems and that thepractice of engineering is typically directed towards design of engineering systems, ranging from thesmall to large scale and even complex systems of systems. Engineering curricula, with their traditionalfocus on the disciplinary contributions to design, encourage a mindset in which students seek technicalsolutions often rooted in a specific engineering discipline with little regard for the context in which theirproduct, system, or service may be deployed, the societal or business need(s) it may fulfill or even itsrelations to all the other engineering, business or ‘environmental’ domains that can
National Technical Conference and Exhibition, New Orleans, LA, March 31- April 2.7. Kaiser, M., Pulsipher, A. 2007. Generalized Functional Models for Drilling Cost Estimation. SPE Drilling and Completion, June: 67-73.8. Kitchel, B., Moore, S., Banks, W., Borland, B. 1997. Probabilistic Drilling-Cost Estimating. SPE Computer Applications, August: 121-125. Page 15.716.109. Murtha, J. 1997. Monte Carlo Simulation: Its Status and Future. JPT, April: 361-373.10. Noerager, J., White, J., Floetra, A., Dawson, R. 1987. Drilling Time Predictions From Statistical Analysis. Paper 16164 presented at the SPE/IADC Drilling
funded-research program. His research interests include Learning/Collaborative Systems, Software Engineering, Open Source Development, Computer Science Education.Raghvinder Sangwan, Pennsylvania State University, Great Valley Raghvinder S. Sangwan, an Associate Professor of Software Engineering at the Pennsylvania State University's School of Graduate Professional Studies, holds a Ph.D. in Computer and Information Sciences from Temple University. He joined Penn State in 2003 after a 7+ year career in industry, where he worked mostly with large software-intensive systems in the domains of healthcare, automation, transportation and mining. His teaching and research involves analysis, design
. Page 15.149.6The F value is calculated as: sbt 2 Fcalc ? swt 2where 2 π f s f 2 − π m sm 2 swt ? π f − πm 2 2 sbt ? ∗ nf yf / y + − n ∗y m m
beenintroducing the student participants, who are earning Ph.D. degrees in research Page 15.532.2universities, to the possibility of more teaching-focused careers in institutions servingundergraduates. At UC, practical experience and mentoring in a teaching-focusedprogram could be obtained by PFF participants in the University's College of AppliedScience, which offers two-year and four-year technology degrees in many fields. Butchanges in career prospects for new engineering Ph.D.'s, along with major changes inacademic programs at UC, are providing the impetus for changes in the PFF program.We describe some motivating factors in the changes we have made and are
”, Routledge, Taylor & Francis Group, 1997. 2- Bloom, B. S., Engelhart, M. D., Furst, E. J., Hill, W. H., & Krathwohl, D. R., 1956, Taxonomy of Educational Objectives: The classification of educational goals. Handbook I: Cognitive domain. New York: David McKay. 3- Dym, C. L., Agogino, A., Eris, O., Frey, D., Leifer, L.; “Engineering Design Thinking, Teaching, and Learning”, Journal of Engineering Education, January 2005, pp. 103-120. 4- Eastman, C., McCracken, M., Newstetter, W.; “Design Knowing and Learning: Cognition in Design Education”, Elsevier, 2001. 5- Eder, W. E., Hosnedl, S.; “Design Engineering: a manual for enhanced creativity”, CRC press, , Taylor & Francis Group, 2008. 6- Eder, W. E
parameters as input data (a manual solution for such a problem would be very tedious andtime consuming). Also, the students acquire enhanced problem-solving skills, as they areengaged in, not just using the Mathcad software, but also in writing the programming code.Bibliography 1. Navaee, S., “Utilization of EXCEL in Solving Structural Analysis Problems,” Proceedings of the 2003 American Society for Engineering Education Annual Conference and Exposition, Nashville, Tennessee 2. Navaee, S., “Developing Instructional Modules for Analyzing Structures,” Proceedings of the 2003 American Society for Engineering Education Annual Conference and Exposition, Nashville, Tennessee 3. Navaee, S., and Das, N.K., “Utilization of MATLAB in
) Robbins, S. B., Lauver, K., Le, H., Davis, D., Langley, R., & Carlstrom, A. (2004). Do Psychosocial and Study Skill Factors Predict College Outcomes? Psychological Bulletin, 130(2), 261-288.(6) Le, H., Casillas, A., Robbins, S. B., , & Langley, R. (2005). Motivational and Skills, Social, and Self- Management Predictors of College Outcomes: Constructing the Student Readiness Inventory. Educational and Psychological Measurement, 65(3), 482-508.(7) Peterson, C. H., Casillas, A., & Robbins, S. B. (2006). The Student Readiness Inventory and the Big Five: Examining social desirability and college academic performance. Personality and Individual Differences, 41(4), 663-673.(8) Robbins, S. B., Allen, J., Casillas
fixtures withT8/T5 lamp(s) and electronic ballasts.Reduction in connected Watts $0.40 per Watt reducedMaximum incentive is $150 per installed fixture. Page 24.448.7Practical ProjectA 29,000 square foot warehouse near Chicago is selected for this project. The warehouse is usedfor packaging and storing food. Clients for this company vist the warehouse on regular basis tocheck the quality of the packaged food and electric power and lighting is a key factor. Thewarehouse had a variety of ineffeciet, noisy and sometimes non-functional light fixtures such as12 foot T12, Mercury Vaspor 400W, Metal Halite 400W, and 4 foot T12. These light
surveys completed, the vast majority of ratings in all thecategories have been “4”s and “5”s. Such scores correspond to “Often” and “Always or almostalways” with respect to the student interns performing the Key Actions that demonstrate eachcompetency. The average rating for the 14 competencies and completed supervisor surveys forthe seven interns was 4.59. Given the small sample size, there are limits to the conclusions thatcan be drawn from these data, but other departments using the same methodology could obtainvaluable information for continuous improvement. The ratings of the competencies for the seveninterns are displayed in Table 2. Competencies are listed in order from highest to lowestsupervisor ratings. As indicated by the Sample Size
such as costeffectiveness, ease of installation, modularity of assembly/disassembly, simplicity, andeffectiveness of design. During the second half of the term, the teams of students work ondifferent aspects of the implementation of the chosen design proposal.Community-based Engineering Design ProjectPrior to assigning the project to the students in the course, the following issues related to projectidentification were addressed and presented to the students as part of Phase 1 of the ServiceLearning Project. • Perform an assessment of the need (if the need is not already defined) • Identify stakeholders (customer, users, person(s) maintaining the project, etc.) • Understand the Social Context • Define basic stakeholder requirements
Consultant provide consulting services to local industry. Services include: elastomeric product design and analysis, machine design, finite element analysis, solid modeling, vibration analysis and diagnostic testing. Dr. Michael holds several patents and has several patents pending primarily in the area of noise, vibration and harshness (NVH) type isolation products. He has published extensively in this area as well. He is a licensed professional engineer in the Commonwealth of Pennsylvania.Mr. Fredrick A. Nitterright, Pennsylvania State University, Erie Mr. Fred Nitterright is a lecturer in Mechanical Engineering Technology at Penn State Erie, The Behrend College. He received the A. A. S. in Mechanical Drafting and Design in
actually implemented during team processes. Page 24.159.8 7ReferencesAlexander, M. W., & Stone, S. F. (1997). Student Perceptions of Teamwork in theClassroom: An Analysis by Gender. In Business Education Forum (Vol. 51, No. 3, pp. 7-10).Al-Khazraji, N. (2009). The culture of commercialism: globalization in the UAE(Doctoral dissertation, Georgetown University Washington, DC).Al-Krenawi, A., & Graham, J. R. (2000). Culturally sensitive social work practice withArab clients in mental health settings. Health & Social Work, 25(1), 9-22.Al Romaithi, A. A
Hispanic Higher Education, 5(3), 203-221.4. Crisp, G., & Nora, A. (2010). Hispanic student success: Factors influencing the persistence and transfer decisions of Latino community college students enrolled in developmental education. Research in Higher Education, 51(2), 175-194.5. Crisp, G., Nora, A., & Taggart, A. (2009). Student characteristics, pre-college, college, and environmental factors as predictors of majoring in and earning a STEM degree: An analysis of students attending a Hispanic Serving Institution. American Educational Research Journal, 46(4), 924-942.6. Harper, S. R., & Quaye, S. J. (2007). Student organizations as venues for Black identity expression and development among African
aspects; 3) Using astandardized method for quantifying defects will lead to more statistically significant data.ACKNOWLEDGMENTSThis work was supported by the National Science Foundation grant number EEC-0552860,Research Experiences for Undergraduates (REU) Industrial Applications of Sensing, Modeling,and Control. Additional thanks to Dr. Mike Baswell for his assistance in the foundry pouringmolten aluminum and to Mr. Wayne Hawkins for his assistance in preparing specimens formetallography and analysis.BIBLIOGRAPHY 1. Abdelrahman, M. and Pardue, S., “An REU Experience on the Industrial Applications of Sensing, Modeling And Control,” Conference Proceedings of ASEE-SE Regional Conference, April 2008, Memphis, TN. 2. Abdelrahman, M
. 4, SD = 0.86 3.a. Explain the PIC16FXX embedded system circuit design. M = 4.13, Med. = 4, SD = 0.76 3.b. Use I/O pin configuration and control functions with an internal CONFIG register. M = 4.27, Med. = 4, SD = 0.65 4.a. Explain the use of a flowchart for PIC programming. M = 3.93, Med. = 4, SD = 1.01 4.b. Calculate and write a time delay loop(s
old model was to start with the technician training and infuse more science, and mathematical version of the 50’s-‐60’s technician trainings. However, the pragmatic essence of engineering to build, design, and make things was fading and began to disappear in most curricula. Consequently, ABET tweaked its emphasis to ensure that engineers are developing the right balance of hard and soft skills. Page 24.679.5 One perspective on the ABET requirement was to liberate engineering education by bringing together the most important
. IntroductionResearch in engineering education over the past 15 years has shown that US undergraduateengineering student enrollment in decline while the demand for qualified engineering graduatesis expected to increase1. The U.S. Bureau of Labor Statistics (BLS) predicts a 22% growth injobs for fields related to Science, Technology, Engineering, and Mathematics (STEM) between2004 and 2014 (U. S. Department of Labor, 2005)2. It revealed that fewer than 40 % of studentswho enter college intending to major in a STEM field complete college with a STEM degreetoday3. The engineering graduation rate is even lower for Texas Higher Education institutions4.Research by ACT indicates that fewer than one in five 12th graders have both high interest inSTEM and high
course structure from the perspective of the meeting requirements. Faculty pre-course meeting (face-to-face) Customer discovery Purpose: Decide on strategy, teams and projects Importance: Very high S e m e s t e r Student kickoff meeting (face-to-face) Purpose: Team building and meet the client
Page 24.820.9 of Technology Studies, 36(1), retrieved from: http://scholar.lib.vt.edu/ejournals/JOTS/v36/v36n1/daugherty.html4. Williams, C. B., Lee, Y. S., Gero, J. S., & Paretti, M. C. (2012, October). Examining the Effect of Design Education on the Design Cognition: Measurements from Protocol Studies. In 2012 Frontiers in Education Conference Proceedings (pp. 1-6). IEEE.5. Collins, A., Brown, J. S., & Holum, A. (1991). Cognitive apprenticeship: Making thinking visible. American Educator, 6(11), 38-46.6. White, B., & Frederiksen, J. (2005). A theoretical framework and approach for fostering metacognitive development. Educational Psychologist, 40(4), 211- 223.7
were coming in with some idea what engineering discipline(s) they wereinterested in and preferred to spend more time exploring fewer diciplines. During the third year summer camp a coordinator was hired for the grant and tasked withorganizing and running a sustainable summer camp program. The current camp is gearedtowards a smaller number of participants (20-40 instead of 60-70). The individual sessions arelonger to accommodate more-involved experiments and extended interactions with collegestudents. This experiential approach to engineering instruction is well supported in the literature.Richard Felder, one of the seminal researchers in the field of engineering education, contendsthat taking a more active approach in teaching engineering
assumed that each pedestrian is moving with an average speed of commonman in that area. Based on the findings, it is recommended that Draft Accessible Guidelinesand the MUTCD use a 3.5 fps (1.1 m/s) minimum walking speed across the street itself (curb-to-curb) for determining the Pedestrian Clearance interval, and a 3.0 fps (0.9 m/s) walkingspeed across the total crossing distance (top of ramp to far curb) for the entire WALK plusPedestrian Clearance signal phasing. In any case, the minimum WALK signal indicationshould still be 4 seconds for single lane one direction road. [5]The collected field data of pedestrian arrival were then classified into different groups basedon the arrival volume in 5 second intervals to analyze the effect of different
S tr a in Figure 5: Stress Strain Behavior of 1050 Steel Untreated, Annealed at 1200F, and Annealed 0 0 0.1 0.2 0.3 0.4 0.5 0.6 at 1650F Strain Figure 4: Stress-Strain Behavior of Copper Annealed at 1200F and work hardened.Figure 4 shows the effect of work hardening. In this case the tensile test was interrupted at astrain of about 25% and then a new tensile test was performed as if the bar were as received.Note, that yield strength of the work hardened specimen is much higher than the fully annealedspecimen. Figure 5 shows the affect that annealing temperature has on the strength
consequences. Onestudent utilized 13 attempts, during 55 minutes of effort for one particular quiz. Effortthat would have been better spent comprehending the material rather than the “try untilyou succeed” approach lacking the comprehension. It is permitted for the student toaccess the notes or any other electronic source in search of the answer(s). Nearly all theclass obtained 100% for these quizzes (enhanced (directed) learning opportunities). Thisparticular quiz contained the 20 questions from a question bank of about 40 questions.Often this activity was immediately prior to the deadline. Another companion paper, inthese proceedings, discusses the procrastination issue and consequences.Table 1. Time on Task for quiz submission(s) and submission
Prototyping11 Cost Estimation / Product Development EconomicsAcknowledgementThis project is sponsored by the National Science Foundation under grant number 0234016. Thissupport is gratefully acknowledged.Bibliography1. Ulrich, K. T. & Eppinger, S. D., Product Design and Development, 3rd Ed., McGraw-Hill, 2004.2. Hazelrigg, G. A., Systems Engineering: An Approach to Information Based Design, 1996.3. Esche, S. K. & Chassapis, C., Integrating Concepts of Decision Making and Uncertainty into Engineering Design Education, 33rd ASEE/IEE Frontiers in Education Conference, 2003.4. Esche, S. K. & Chassapis, C., SGER: A Framework for Adapting Decision Based Scientific Principles in Engineering Design, NSF Proposal, 2002.5
average student rating was for thisconcept was 2.5, which is below 3, indicating that students thought this concept was notmade visible to them through out the demonstration. Page 10.177.6 Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright © 2005, American Society for Engineering Education The extent to which the NMR/MRI demonstration made the concepts become visible to students La rm o r F re quency- v is ible 4.3 R F puls e s a nd f lip