://www.engr.washington.edu/caee/CAEE%20final%20report%2020101102.pdf. Last accessed March 26, 2013.6. Knapp, R. Collective (Team) Learning Process Models: A Conceptual Review. Human Resource Development Review, 9, 285-299 (2010).7. Ohri, A. J., and Olds, B. M. Situated Engineering Learning: Bridging Engineering Education Research and the Learning Sciences, J. Eng. Ed., 100, 151-185 (2011).8. Survey: How Leading Firms Manage Regulatory Change, Chemical Week Magazine, Nov. 2 (2009).9. Regulatory Compliance Predicted to be a Major Driver of Competitive Advantage. http://www.prnewswire.com/news-releases/regulatory-compliance-predicted-to-be-a-major-driver-of- competitive-advantage-69070552.html. Last accessed March 26, 2013.10. AIChE100: A Century of
30 0 Ythan Estuary, Aberdeenshire, Scotland [1] showing theFigure 2d. Energy flow in a temperate estuary,superimposed Jorgensen and Svirezhev [15] beta values. Page 23.925.7Figure 3a. EcoNet graphical output of curriculum system A, based on EcoNet graphical output of energyflows in a generic marine ecosystem [24]. Page 23.925.8Figure 3b. EcoNet graphical output of curriculum system B, based on EcoNet graphical output of energyflows in a Chesapeake Bay, USA, mesohaline ecosystem, USA [2
satisfy user requirements. 2.4 f) Demonstrates commitment to sustainable engineering practices and the achievement of sustainable outcomes in all facets of engineering project work.(d) an ability to function on 3.6 b) Functions as an effective member or leader of diverse engineering teams, including those withmultidisciplinary teams multilevel, multi-disciplinary and multi-cultural dimensions.(e) an ability to identify, formulate, and 2.1 a-c) Identifies, discerns and characterizes salient issues, determines and analyses causes andsolve engineering problems effects, justifies and applies appropriate
laboratoryLaboratory for Renewable Energy ApplicationsThe laboratory requirements for renewable energy are relatively will defined. M. Al-Addous, C. B. Class [3] provide a list of solar thermal equipment to support a portion of arenewable energy laboratory. The North American Board of Certified Energy Practitioners[4] lists implicitly in their PV Installer Task Analysis the required equipment andinstrumentation for a laboratory to support solar photovoltaic training. The North AmericanBoard of Certified Energy Practitioners [5] also provides a Solar Heating Entry LevelLearning Objectives which explicitly lists the required equipment and instrumentation forsolar thermal training. The equipment includes an active solar photovoltaic system, an activesolar
-modulation) control signals for speed or torque control based onopen-loop or closed-loop control strategies. The PWM drive board amplifies the control signalsto trigger the power MOSFET module. The MOSFET module realizes a full-bridge dc/dcconverter which provides adjustable dc voltage to the dc traction motor and allows current tofollow in both direction. As a result, the DC traction motor can be operated in four-quadrant andunder different speed. (a) Page 23.280.3 (b) Figure 1 (a) golf-cart and (b) platform project structureIn order to
tools is that they are expensive and not easily accessible tostudents to download. Considering this, it would be best to use commercial tools for an advanceddata mining course and not for an introductory course. We will see later in this paper, that usingopen source tools for introductory courses is ideal.In this paper we will discuss 3 popular commercial tools: (a) SAS Enterprise Miner (b) MATLAB (c) IBM SPSS ModelerSAS Enterprise MinerSAS Enterprise Miner software streamlines the data mining process to create highly accuratepredictive and descriptive models. The models are based on analysis of vast amounts of datafrom across an enterprise. Interactive statistical and visualization tools help you better search fortrends and anomalies and
Paper ID #6950Unlocking Student Motivation: Development of an Engineering MotivationSurveyMr. Philip Reid Brown, Virginia Tech Philip Brown is a Ph.D. candidate in Virginia Tech’s Department of Engineering Education. He has a B.S. from Union College and a M.S. from Duke University, both in Electrical Engineering. His research interests include informed career decisions, mixed methods research, motivation and learning theories and intervention development.Dr. Holly M Matusovich, Virginia Tech Page 23.1284.1
theinstructor who placed an “A”, “B”, and “C” student into each group. Each group sat at a specificround table that was present in the room.Approximately the first 1/3 of the class was a review of homework problems and was facilitatedby using the classroom survey tool ResponseWare©. This is a web-based “clicker” type systemin which the students provide immediate feedback to instructor questions. An MS PowerPointpresentation was created for each homework assignment in which each problem was stated andmultiple potential answers for each problem were provided. The students would provide theiranswers to each question. This enabled the instructor to immediately determine if the problemwas well understood by the majority of the class. If a number of students
degree.ResultsThis first stage of our analysis has revealed several emergent themes related to how studentsobtain knowledge about the transfer process through orientation and academic advising. Themain themes are summarized below. Quotations have been modified to improve readability bydeleting verbal crutches, such as “um” and “you know” and false starts. We have also assignedpseudonyms to the MIDFIELD schools (A-State, B-State, C-State, and D-State) and some of thesending institutions (Local Tech, Metropolitan Community College (MCC), and College-TownCommunity College (CTCC)) to enhance readability while maintaining institutionalconfidentiality. Speakers are identified by their institution (A, B, C, or D) and the order in whichthey were
International Research/education Collaboration on GaN LED/LDs between Cal Poly (USA) and PKU (China) Xiaomin Jin a, Xiao-hua Yu a, Xiang-Ning Kangb, and Guo-Yi Zhangb a Electrical Engineering Department, 1 Grand Avenue, California Polytechnic State University, San Luis Obispo, CA, USA, 93407-9000; b School of Physics and State Key Laboratory for Artificial Microstructures and Mesoscopic Physics, Peking University, Beijing, China, 100871.AbstractWe initiated and established an international collaboration with institution in China. This is oneof the international programs at California Polytechnic state University (Cal Poly
-relatedprinciples: (a) developing a long-term time-line, (b) using theory and data to inform decisions, Page 23.591.6(c) paying attention to formative and summative components of the study, (d) creating sharplyfocused causal questions regarding impact of the program, and (e) using a variety of quantitativeand qualitative evidence to support claims.B. Research Questions 1. How are instructors implementing (or not) PEL in their classrooms? 2. How does the implementation of PEL in gateway engineering classrooms follow “best practice” as identified by the research? 3. How supported (by all stakeholders) do
0.20 0.40 0.60 0.80 1.00 Change in Student Attitude Over the Semester, 5 Point Scale Figure 5: Change in student perception over time To supplement the written survey instruments, two focus sessions of two groups each wereconducted during the semester. The initial interviews were conducted on lesson six and theclosing interviews were conducted on final lesson of the course. The instructor did not attend thefocus groups to prevent the possibility of perceived or actual bias during the course. For eachgroup, two groups of 4 students each were interviewed for about 30 minutes, using the scriptattached in Appendix B as a guide to the discussion
& Sullivan, T. N. Engineering students' perceptions of engineering specialties. Journal of VocationalBehavior; 2005, 67, 87-101.[8] Zhang, G., Thorndyke, B., Ohland, M., Carter, R., & Anderson , T. Demographic Factors and AcademicPerformance: How Do Chemical Engineering Students Compare with Others? In American Society for Engineering Page 23.438.10Education Conference; 2003.[9] Dee, K. C.; Nauman, E.; Livesay, G. & Rice, J. Research report: learning styles of biomedical engineeringstudents. Annals of Biomedical Engineering; 2002, 30, 1100-1106.[10] Johnson, H.; Singh, A. The personality of civil engineers. Journal
Paper ID #7256Multisource feedback for STEM students improves academic performanceDr. Jesse Pappas, James Madison University Jesse Pappas studied self-insight, intentional self-development, and the role of emotion in self-perception at the University of Virginia, where he received a Ph.D. in social psychology. His dissertation project involved adapting established professional development tools to facilitate the personal and academic suc- cess of college students and others. As a research fellow in the School of Engineering at James Madison University, Jesse currently leads efforts to equip future scientists and
; Leifer, L. (2005). Engineering design thinking, teaching, andlearning.6. Shaha, S. H. (1998). Integrated outcomes: Where CIOs need to be thinking. Health Management Technology,19(10), 447. Vazsonyi, A. (1999). Which door has the Cadillac. Decision Line, 30(1), 17-198. Abt, C. C. Serious Games. Lanham (1987), Serious games-Reprint.New York: Viking Press9. Prensky, M. (2001). Digital game-based learning. New York, NY: McGraw-Hill10. Hernandez, N. V., & Rangel, G. D. (2010). Improving engineering design education: From skills to educationalobjectives. ASME.11. Pahl, G., et al. (2007). Engineering design: A systematic approach. Springer.12. Biggs, J. B. (1970). Personality correlates of certain dimensions of study behavior. Australian Journal
-Collegiate Factors Influencing the Self-Efficacy of Engineering Students', Journal of Engineering Education 100(3), 604--623.11. Hutchison, M.; Follman, D.; Sumpter, M. & Bodner, G. (2006), 'Factors influencing the self-efficacy beliefs of first-year engineering students', Journal of Engineering Education - Washington 95(1), 39.12. Kilgore, D., Atman, C.J., Yasuhara, K., Barker, T.J. and Morozov, A. 2007. “Considering Context: A Study of First-Year Engineering Students.” Journal of Engineering Education, Vol. 96 (4), pp. 321- 334.13. Marra, R.,M. Rodgers, K.A., Shen, D., and Bogue, B. 2009. “Women Engineering Students and Self- Efficacy: A Multi-Year, Multi-Institution Study of Women Engineering Student Self
program. Table 3 shows (a) ability to apply knowledge ofthe PEV checklist for criterion 3. As can be seen, math, engineering, and sciencethe main objective is for the PEV to determine if (b) ability to design and conductthe students have achieved the eleven ABET experiments, as well as to analyzeoutcomes, namely a-k. How this is demonstrated is and interpret dataup to the program. But, some factual assessment (c) ability to design system, component or process to meetdata and samples of student work demonstrating needs within realistic constraintsachievement of these outcomes will be
. Department Learning Outcomes Upon completion of the BS in Physics, students will be able to: A demonstrate their understanding of the foundations in physics. B competently solve appropriate problems in upper level physics courses. C demonstrate competency in experimental design and scientific data collection and analysis. D demonstrate competency in their understanding of scientific information
heavilysubsidized tuition), the combination of participation in (a) a scholarship program and (b)academic support services resulted in higher academic achievement and retention for females(but both males and females used support services and peer advising at higher rates) compared togroups of students who participated in either (a) or (b) but not both. In the book Talking AboutLeaving, Why Undergraduates Leave the Sciences, 3 it is stated that nationally 40 percent ofundergraduate students leave engineering programs, 50 percent leave the physical and biologicalsciences programs, and 60 percent leave mathematics programs to pursue other non-STEMprograms.Recent findings from the Academic Pathways Study (APS) have shown that among the factorsthat predict the
later realized that it was impossible for the local Page 23.1064.3villagers to obtain grinders. A quick solution was proposed to use the mortar and pestle that arecommonly seen in the Africa. A bucket and a 2-inch PVC pipe with an end cap were used tosimulate the equipment (Figure 2 A & B). The peanut shells are reduced to the size of athumbnail. The size is selected by balancing the effort of crushing and the easiness of pressing.The student team also spent a long time to look for a suitable binder. The industrial binder wasclearly not an option. They tried cornstarch and rice starch since they were the local staplefood
main(){ InitRS232(uartOne,baudRate9600); // need this for VEX multi-robot wait1Msec(1000); motor[rightMotor] = 63; // move forward for 1 second motor[leftMotor] = 63; wait1Msec(1000); motor[rightMotor] = 0; // stop motors motor[leftMotor] = 0; string message = “RobotB Go"; SendString(message); // send message to Robot B to move}Figure 3. Multi-robot Transmitter (Robot A)#include "XbeeTools.h " // Wait for a message from Robot A, then move forwward for 1 secondtask main(){ InitRS232(uartOne,baudRate9600); // need this for VEX multi-robot wait1Msec(500); string message; ReceiveString(message); // wait for a message from Robot A motor[rightMotor] = 63; // move forward for 1
students to engineering; (b) how students talk about engineers interactingwith society; and (c) what role feedback from society, the community, or the client should playin the engineering design process.Purpose “While engineering is a profession with a strong ethical dimension, and while we have explicitly stated in our various codes of conduct that we must hold paramount the public safety, there has been until very recently no reference to addressing two of the most important issues of our times – poverty and underdevelopment and environmental degradation. It is as if engineering as a profession is somehow excused from such deliberations or that if we serve our employers faithfully and professionally, it will
Society for Engineering Education Annual Conference, Vancouver, Canada, 2011 7. Padmanabhan G. and Davis, C. A. 2011. Collaborative Research-Mentoring for Tribal College Students, AC 2011-185, Proc. of the American Society for Engineering Education Annual Conference, Vancouver, Canada, 2011 8. Padmanabhan, G. and Davis, C. A. 2008. Undergraduate Research Experience: A Collaborative Model for Tribal Community College Students, GC 2008-133, 7th Global Colloquium on Engineering Education, Cape Town, South Africa, Oct. 19-23. 9. Peterson, M., Kraus, B. & Windham, T., 2005. Striving toward equity: Underrepresented minorities and mathematics. Society for Industrial and Applied Math, 38(3
the students felt more confident that they could complete a more complexrobot. Overall, student’s self-reported knowledge of servos, motors and using manufacturingequipment increased based on survey results. The activity described in this paper has had a largeimpact on overall manufacturing confidence and course outcome for students.IntroductionUndergraduate mechanical engineering education usually places a high priority on designexperience. This is partly driven by the requirements the Accreditation Board for Engineeringand Technology (ABET) sets for engineering degrees1 . ABET criteria (a) through (k) includedesign explicitly, especially through criteria (c) and (b). The ABET criteria also implicitlyinclude design through requirements for
Education, 2009.[4] DeVore, Statics Tutor, New Jersey: Prentice-Hall, 2000.[5] J. Iano, Shaping Structures: Statics, New York: John Wiley & Sons, 1998.[6] ISDC, "BEST Statics," [Online]. Available: web.umr.edu/~bestmech/preview.html.[7] E. Anderson, R. Taraban and S. Roberstson, "M-Model: A Mental Model based Online Homework Tool," Journal of Online Engineering Education, vol. 1, no. 2, 2010.[8] J. Lux and B. Davidson, "Guildelines for the development of computer-based instruction modules for science and engineering," Mechanical and Aerospace Engineering, 2003.[9] N. Hubing, D. Oglesby, T. Philpot, V. Yellamraju, R. Hall and R. Flori, "Interactive Learning Tools: Animating Statics," in American Society for Engineering Education, 2002
(MISW)Tokyo Bus Tour 21(Cultural activity) Page 23.954.5Research presentation 24& closing ceremony a) b) d) c)e) f) g
point of Q is a saddle point, and differentiating Q can provide the formulas asfollows, using Lagrangian multiplier method to solve the formulas: 𝜕𝑄 = 𝑤 − 𝑙𝑖=1 ∝ 𝑖 ∅ 𝑥 𝑖 = 0 (2) 𝜕𝑤 𝑙 𝜕𝑄 =− ∝𝑖= 0 𝜕𝑏 𝑖=1 𝜕𝑄 = 𝑤 𝑇 − ∅ xi + b + 𝜀 𝑖 − 𝑦 𝑖 = 0 𝜕∝ 𝜕𝑄 = 𝐶𝜀 𝑖 −∝ 𝑖 = 0 𝜕𝜀 𝑖From formulas above: 1 𝑙 1 ∝ 𝑖 ∅(𝑥 𝑖 ) 𝑙𝑗 =1 ∝ 𝑗 ∅ 𝑥𝑗 + 2𝐶 𝑙
b) Computer Model Figure 3. Large Chemical Detection Robot, SniffBot Page 23.232.45.3 Chemical Detection Robot Design Project in the ClassroomA smaller version of a chemical detection robot called Sniffpuppy, which weighed about 15pounds, is developed for students who are taking MECH 2410 - Machine Design in theMechanical Engineering Technology department and EMT 2461 - Electromechanical SystemsSoftware Interface in the Computer Engineering Technology department. Students from the twoengineering technology departments collaborate in classes to design a small mobile chemicaldetection robot (CDR) that can be used to
betterunderstanding of the mathematical relationship between physical quantities as well as thederivation and verification of the validity of physics equations.Physical Units in CalculusMany engineering processes are modeled as differential equations relating inputs to outputs in asystem. Common examples include, in mechanics, the mass-spring modeling equationdescribing the motion of the mass in response to an input stimulus that excites the spring, and inelectric circuits, the series or parallel resistor, inductor, capacitor circuit. The equation is of theform: d 2 y(t ) dy(t ) a 2 b cy(t ) x(t
Society for Engineering Education References 1. C. McCraig, F. Arai, A. Jacoff, S. Tadokoro, M. Gaitan, “RoboCupSoccer – Nanogram Competition,” White Paper, NIST, 2007. Available online: http://www.eeel.nist.gov/812/nanogram/white_paper.pdf 2. 2010 NIST Mobile Microrobotics Challenge, at IEEE Int’l Conf. on Robotics and Automation, Anchorage, Alaska, May 2-6, 2010. Available online: http://www.nist.gov/pml/semiconductor/robots_042710_program.cfm 3. 2013 IEEE RAS MMC Competition Rules, Available online: http://www.uta.edu/ee/ngs/mmc 4. M.R. Pac, K. Rathatha, B. Rukavina, J. Weir, “Development of Microrobotics Control System - UT Arlington Microrobotics