Schools and Outreach,” J. Nanoparticle Research 1, 147- 150 (1999).8. G. P. Smestad and M. Grätzel, “Demonstrating Electron Transfer and Nanotechnology: A Natural Dye-Sensitized Nanocrystalline Energy Converter,” J. Chem. Educ. 75 (6), 752-756 (1998).9. National Nanotechnology Initiative: Information on Education, (http://www.nano.gov/courses.htm).10. Zhao, Moore, and Beebe, Surface-Directed Liquid Flow Inside Microchannels, Science, 291:1023-1026 (2001).11. Beebe, D.J., J.S. Moore, J.M. Bauer, Q. Yu, R.H. Liu, C. Devadoos, and B.H. Jo "Functional Hydrogel Structures for Autonomous Flow Control Inside Microfluidic Channels," Nature, 404:588-590 (2000).12. http://www.mrsec.wisc.edu/nano13. Frisbie CD. Rozsnyai LF. Noy A. Wrighton MS
, a team can solve larger and moredifficult problems by dividing that problem among its members. It is very important toeducate and train the teams (workforce) regularly. It enables the company to acquire theability to compete in a continuously changing global market. Page 6.290.4 Proceedings of the 2001 American Society for Engineering Education Annual Conference & Exposition Copyright © 2001, American Society for Engineering Education 1. EMPLOYEE INVOLVEMENT * Quality-Awareness Training Q * Work-center/Process Training U
) Benefit/Cost Ratios; (C) Present Worth; (D) Depreciation andDepletion; (E) Geometric Gradients and Spreadsheets; (F) Cash Flows; (G) EquivalenceRelationships; (H) Replacement, Retirement and Breakeven Analysis; (I) Income Taxes; (J) Rateof Return; (K) Inflation and Deflation; (L) Sensitivity Analysis; (M) Decision Making; (N)Evaluation of Multiple Alternatives; (O) Capital Financing and Allocation; (P) Public Projectsand Regulated Industries; (Q) Selection of MARR; (R) Accounting; (S) Uncertainty and RiskAnalysis; (T) Estimation; (U) After-Tax Economic Analysis; (V) Corporate Tax Structure; (W)Bonds; (X) Multiattribute Analysis; (Y) Profit Volume Analysis of Production Operations; and(Z) Ranking.For each of the 27 educators polled in the pilot
and ethical responsibility (cultural) g.) ability to communicate effectively (cultural/conceptual) h.) broad education necessary to understand the impact of engineering solutions in a global and societal context (cultural/conceptual) i.) recognition of the need for, and ability to engage in life-long learning (conceptual/cultural/mechanical) j.) knowledge of contemporary issues (cultural/conceptual) k.) ability to use the techniques, skills, and modern engineering tools necessary for engineering practice (conceptual/mechanical/cultural) Q# mech. concept cultural a b c d e f g h I j k 1 H H H
complete list of program outcomes (a-s) can be found in Appendix B. Page 6.362.6Proceedings of the 2001 American Society for Engineering Education Annual Conference & Exposition Copyright © 2001, American Society for Engineering EducationTable 2. Correspondence between Thermodynamics educational objectives and ABET’s (a - k). Program Outcomes: ABET’s Outcomes (a – k) and Additional Outcomes a b c d e f g h i j k l m n o p q r s Course Objectives δ.1 x x x δ.2 x x
through the other. Figure 1 Supply tankillustrates such a device, schematically.A budget of $50 was available to each groupto be applied to requisitioned materials and exitcomponents for construction of their design. check valveNo custom machining was provided supply check valve Pressure VesselEmphasis in the design process was on the Q (from Bunsen Burner)items that were specified as required to becovered in the written report
Kingsport, Tennessee to manufacture specialty chemicals. The purpose of this project isto determine the effect of sparger ring diameter, D S, and gas flow rate, QG, on the liquid phaseresidence-time-distribution in a bubble column. In this CFD study, an algebraic slip mixture model(see Manninen et al., 1996; Ivanov et al., 1999) is used to simulate an air/water mixture in a columnof diameter D (= 2.4m) and height H (= 19.2m). The volume of the column, V, is approximately 91m3. The volumetric flow rate of the liquid phase, Q L, is about 89 m3/h; the gas rate, QG, is varied from~800 m3/h to ~ 2,400 m3/h. Thus, for the conditions studied, the superficial mean residence time ofthe liquid phase is about 3,600s whereas the superficial mean residence time
Page 7.130.4 Proceedings of the 2002 American Society for Engineering Education Annual Conference & Exposition Copyright © 2002, American Society for Engineering Education Home Page Site Navigation Interactive Tutorial Instrumentation Software Learning Q/A Notes Modules Highly interactive, More involved Extensive short questions questions with references with with a reply for detailed solutions
. Page 7.921.8 Proceedings of the 2002 American Society for Engineering Education Annual Conference & Exposition Copyright © 2002, American Society for Engineering EducationTable 2 shows relevant results from our course-end feedback for the spring semester of 2001.These data are for seven students who were participating in three different projects wesupervised: Popolopen Brook Float Bridge, Renovation of Walden Humane Society (redesign ineffort to gain funding from towns the Society served), and West Point Lower Post RecreationalCenter (provide design to assist community leadership in future decision Table 2: Course-End Feedback Responses Q.# USMA-Standard
C A A A K C 1 .6 us ing q u ality princ ip les K K C
developing rapidly in thedesired directions. Early student response to, and industrial endorsement of, our program hasbeen excellent. Page 6.175.8 Proceedings of the 2001 American Society for Engineering Education Annual Conference & Exposition Copyright © 2001, American Society for Engineering EducationV. AcknowledgementsWe thank the following of our microelectronics faculty colleagues from several departments fortheir critical roles in developing this program: Professors Peter Athanas (ECE), John Duke(ESM), Stephane Evoy (ECE), Alex Huang (ECE), G. Q. Lu (ECE/MSE), Sanjay Raman (ECE),Carlos Suchicital (MSE), and
mechanicalanalogous representation: Electrical Variable Mechanical Variable Voltage = v Force = f Current = i Velocity = u Page 22.915.3 Resistance = R Damping Coefficient = D Inductance = L Mass = M Capacitance = C Spring Compliance = K Charge = q Displacement = xLinear Motion VariablesFor the purpose of modeling mechanical systems with electrical circuits it is also necessary todefine the relationship among variables within each group. According to Newton’s Laws ofmotion, when a force is
). Broadening the Appeal by Changing the Context of Engineering Education. ASEE Annual Conference.5. Rippon, S. and Collofellow, J. (2010). Camping the Way to Higher Retention Rates. ASEE Annual Conference.6. Zhang, Q., Vanasupa, L., Zimmerman, J., and Mihelcic, J. (2010). Development and Dissemination of Learning Suites for Sustainability Integration in Engineering Education. ASEE Annual Conference.7. Heun, M. and VanderLeest, S. (2008). Why a Liberal and Multidisciplinary Education is Needed to Solve the Energy Crisis. ASEE Annual Conference.8. Foster, J. and Heeney, A. (2009). The Engineering Science Praxis Sequence: Challenges and Opportunities when Integrating Sustainable Development into the Engineering Design
learning. American Journal of Community Psychology, 30(1), 89-102.[7] Stufflebeam, D. L. (1994). Empowerment evaluation, objectivist evaluation, and evaluationstandards: Where the future of evaluation should not go and where it needs to go. AmericanJournal of Evaluation, 15(1), 321-338.[8] Fetterman, D. M., & Wandersman, A. (2007). Empowerment evaluation: Yesterday, today,and tomorrow. American Journal of Community Psychology, 28(1), 179-198. Page 23.8.12[9] Patton, M. Q. (2005). Toward distinguishing empowerment evaluation and placing it in alarger context: Take two. American Journal of Evaluation, 26(3), 408-414.[10] Andrews, A. B. (2004
Engineering Education, Honolulu, HI, June 2007, 6 pages. 5. Li, Q., Swaminathan, H., and Tang, J., “Development of a Classification System for Engineering Student Characteristics Affecting College Enrollment and Retention,” Journal of Engineering Page 25.367.9 Education (Washington, D.C.) 98 no4 O 2009, 361-376.6. Felder, R.M., Mohr, P.H., Dietz, E.J., and Baker-Ward, L., “A Longitudinal Study of Engineering Student Performance and Retention. II. Differences Between Students from Rural and Urban Backgrounds”, Journal of Engineering Education, 83(3), 209-217 (1994)7. Reynolds, M.C., “Increasing
of the authors and do not necessarily reflect the views of NSF.ReferencesBorden, V.M.H. (2005). Using alumni research to align program improvement with institutional accountability. NewDirections for Institutional Research, 126, 61-72.Buyer, L.S. & Miller, K.J. (n.d.) Increasing survey response rates: Combining experimental manipulations.Retrieved March 19, 2012, fromhttps://docs.google.com/viewer?a=v&q=cache:EgrP6237otUJ:www.govst.edu/uploadedFiles/Institutional_Research/Survey%2520Response%2520Rates%25206.pdf+&hl=en&gl=us&pid=bl&srcid=ADGEESgXCHcRZHMa2HgJL6Im4E4LIArBAi6_qgOazdxPKNSRkSc0ANQFmVvWUbVFSAAwFZBPaQnH1qgipIPpGy2w4_Z_4JAZgdqnomSleN6jr2-nIEnVzValyb_mo9T2MhB-jnTj1TfW&sig=AHIEtbRh-5HOn7ezW8KpHVe6bnlTIVnD9A
, Q., Swaminathan, H., & Tang, J. (2009). Development of a classification system for engineering student characteristics affecting college enrollment and retention. Journal of Engineering Education, 98(4), 361- 376.[12] Weatherton, Y., Kruzic, A., Isbell, B., Peterson, L., Tiernan, J., & Pham, V. (2011). Mathematics performance and first year retention of students in engineering learning communities. In American Society for Engineering Education Annual Conference and Exposition, Conference Proceedings.[13] Hoit, M., & Ohland, M. (1998). Impact of a discipline-based introduction to engineering course on improving retention. Journal of Engineering Education, 87(1), 79-85.[14] Kilgore, D., Atman, C
). Evaluating student responses to open-ended problems involving iterative solution development in Model Eliciting Activities. Proceedings of the 118th American Society for Engineering Education Annual Conference & Exposition, Vancouver, B.C., Canada.18. Verleger, M. A. & Diefes-Dux, H. A. (2010). Facilitating teaching and research on open-ended problem solving through the development of a dynamic computer tool. Proceedings of the 117th American Society for Engineering Education Annual Conference & Exposition, Louisville, KY.19. Patton, M. Q. (2002). Qualitative research & evaluation methods. Thousand Oaks, CA: Sage Publications, Inc
) equations 1D&$&<=)/66"F.,-) "=,1D&%.?&) 2&%.-,)/,;)@",;#@1)/,) well as to analyze and .&(5$E7$!C@$=;BF$ interpret data (mechanical) 1D&"$&1.@/6)Q,"F6&;-&) .=:@"$&)M)L9A :7O :9L LBA ,A=>$K=9CLM$ 2&%@$.=$ 0&/%#$&0&,1)/,;) H@CJ8>=$;$K@8=I$ S/@"$&)MK9A :7O :7: OBA ;BOJ8=?B@8HOC:$CI$ .,%1$#0&,1/1.",).,)1D&) %.-,.3.@/,@&8)%1$&
the adiabatic process, the students were asked if the heat, Q, wasgreater for process 1. Although the acceptable selection ranged from 40% to 56% percent, only11% gave an acceptable response based upon the first law of thermodynamics. This implies thatalthough the students could get the correct answer, they could not give an acceptable reasonabout why it was correct. This could be because they lack conceptual understanding of the firstlaw, but not necessarily procedural understanding. In addition, Loverude and others (2002) showthat students did not consider the first law of thermodynamics when given a problem that neededthe first law to be answered correctly. Loverude and others questioned 36 thermal physicsstudents during two rounds of
with a checkbox to indicate that they are “not-confident” in their answer. By default (not marking the box), they are confident, so if they wantto ignore this method, they can do so and still take the quiz all or nothing, just like the first quizof the course. The problems on quizzes with the “not-confident” checkbox are scored out of fivetotal points as shown in Table 1.The 5 quizzes included the following 13 problems with the quiz number indicated as Q#: (1, Q2)block diagram reduction, (2, Q3) Laplace Transforms, (3, Q3) Final Value Theorem, (4, Q3)block diagram reduction, (5, Q4) determining the order of a system from a Bode plot, (6, Q4)system response from a step input, (7, Q4), determining system parameters from a transferfunction, (8
STEM Education, 7, 5-14.7. Wiedenbeck, S. (2005). Factors affecting the success of non-majors in learning to program. International Computing Education Research Workshop (ICER), Seattle, WA, 13-24.8. Guzdial, M. (2003). A media computation course for non-majors. Annual Conference on Innovation and Technology in Computer Science Education (ITiCSE), Thessaloniki, Greece.9. Patton, M. Q. (2002). Qualitative research & evaluation methods. Thousand Oaks, California: Sage Publications.10. Bandura, A. (1997). Self-Efficacy: The exercise of control. New York: W. H. Freeman and Company.11. Schmitz, C. D., Revelo Alonso, R. A., & Loui, M. C. (2011). Proceedings of the Forty-First ASEE/IEEE Frontiers in Education Conference: Diversity
to mentor the next generation of STEM professionals. Open to areaapplicants who have completed their sophomore or junior year in high school, the programencourages the participation of students from all income levels, genders and ethnicities whileproviding a stipend for the program's six-week duration. The YSP staff conducts post programevaluation and analysis to continuously improve on the program's content, lab assignmentopportunities and to seek new ways to approach and interface with scholars in an increasinglyinterconnected world. In addition, YSP maintains a network of program alumni that help newcandidates and alumni with their participation in Q&A sessions and conversations throughout thecollege application process. Our data
3National University is making use of the Voice over Internet Protocol (VoIP) System built withinthe eCollege learning platform. This has the following features [8]: Voice over IP (VoIP) Two-way audio and video conferencing Application sharing Interactive whiteboards Synchronized Web browsing Electronic hand raising, feedback and Q&As Viewable class lists Instructor-led floor control View student screens Breakout groups Participation meters Multimedia courseware with third-party authoring support Group text chat Page 23.877.5
. AcknowledgementsThis work was supported by National Science Foundation grants DUE-0837612 and ADVANCEPAID (Partnerships in Adaptation, Implementation, and Dissemination) 0820013. This support isgratefully acknowledged. Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the author and do not necessarily reflect the views of theNational Science Foundation. Bibliography1. Patton, M. Q. (2000). Utilization-focused evaluation. In D. L. Stufflebeam, G. F. Madaus and T. Kellaghan (eds.) Evaluation Models. Boston: Kluwer Academic Publishers.2. Taylor-Powell, E., Jones, L., & Henert, E. (2002) Enhancing Program Performance with Logic Models. Retrieved 1/2
required to take the two-hour lab courseknows as EEGR 3112 Electronics I Lab. This lab covers the following topics:1. Introduction to diode circuits.2. I-V curves of diodes.3. Diode circuit applications in clippers, clampers, and regulator circuits.4. Passive and active, low pass and high pass filters.5. RLC resonant circuit response.6. Terminal characteristic of BJT transistors (DC load lines and Q points).7. BJT transistors and small signal amplification (DC and AC load lines).8. BJT transistor thermal stability and frequency response.9. Operation of BJT Transistors: LC oscillator and frequency multiplier.10. Applications of Operational Amplifiers.11. Characteristic of MOSFETs (DC
the site layout and test submission system.It is the only module completed during a scheduled orientation period and is designed to alleviateprocedural anxieties and allow students to meet the instructors and other facilitators. Figure 2: Home page for example student currently on Unit 6.Specifically, units tests can be completed anywhere and proctors grade them online typicallywithin 24 hours of submission. Units 1-3 familiarize the student with the compiler, declaringvariables and interacting with the user via a terminal window. Unit 4 is a comprehensive sectiontest (S1) taken in person during the scheduled office hours. This helps ensure the course iscompleted in good faith. Students must pass a Q&A interview session
). Page 25.1167.8References [1] Orwin, E.J. and Bennett, R. J. “Trials and Tribulations of a Freshman Design Course.” Proceedings of the 2002 ASEE Annual Conference and Exposition, Montreal, Quebec, Canada, June 16-19, 2002. [2] Comolli, N., Kelly, W, and Wu, Q. “The Artificial Kidney: Investigating Current Dialysis Methods as a Freshman Design Project.” Proceedings of the 2010 ASEE Annual Conference and Exposition, Louisville, KY, June 20-23, 2010. [3] Dong, J. and Warter-Perez, N. “Collaborative Project-Based Learning to Enhance Freshman Design Experience in Digital Engineering.” Proceedings of the 2009 ASEE Annual Conference and Exposition, Austin, TX, June 14-17, 2009. [4] Shaw, D. and Tanyel, M. “Lessons
. These include cour se and project lear ning objectives, and teaching objectives Cr eate a survey using appropr iate q uestion fr om Step 1. If applicable include new questions which specifically address the weakness identified in the pr evious sur vey Step 2 Admini ster the survey Compi le the resul ts and i denti fy weaknesses Duri ng the next 1/3 of the ter m corr ect the identified
zeroinvestment followed by receipts in years 1, 2 and 3. Equation (16) expresses this case: E0(1 + i’)3 - R1(1 + i’)2 - R2(1 + i’) - R3 = 0, or (1 + i’)3 – (R1/E0)(1 + i’)2 – (R2/E0)(1 + i’) – (R3/E0) (16)Equation (16) has the form y3 + py2 + qy + r = 0, where (1 + i’) is y, -(R1/E0) is p, -(R2/E0) is q, and -(R3/E0) is r. The absolute value of E0 is used. To facilitate a solution, amore convenient form is:7 x3 + ax + b = 0, where (17) y = x – (p/3) = x + (R2/3E0), a = (1/3)(3q – p2) = [-3(R2/E0) - (R1/E0)2]/ 3, and b = (1