. Collect team answer sheet 7. Provide correct responses 8. Students self grading- compare individual average scores and team based average scores 9. Team reflection and reworking the incorrect responses 10. Collect all remaining materials and end the sessionAnalysisIn this section, we present a description and analysis of selected episodes from the recordedobservational data of the two teams working on the rocket configuration quest. These episodeswere selected as they relate to our research goals to determine the major events teamstransitioned through to select a shared team answer. Our unit of analysis is at the team level.Team A spent a bulk of their time in negotiating a response to Q.1., and team B had extensiveinteraction negotiating
measurement noise e when points are near −1, the results of sgn(ξ2 + e) will push solu-tions towards −1 and end in this aforementioned“stuck” scenario. The challenges with this uniquetracking problem are explored in [6]. To mitigate this hysteresis behavior, a supervisor controllerwith two modes is used for pushing the state of the plant towards the stabilization point when awayfrom −1. Now introduce a discrete logic variable q ∈ {1, 2} that will be used for assuring thevalue of u “agrees” with the direction for the system to turn. For the case when q = 1, the state ξis pushed away from −1 in the CW direction. And for the case when q = 2, the state ξ is alreadypushed away from −1 and is pushed to the stabilization point. To achieve robust global
how to translatewritten material into a visual document. Engineers often have to ‘make visible’ complexdescriptions of projects.Figure 5: Rover drawings by students A. J. and M. B.2.9 Week 10The chapters that students read during week 10 were perfect for multiple-choice questions sostudents answered a Q & A module during the course of the week. The main charactercommunicates with Earth via Morse code and one of the module questions had 4 answers inMorse code (Fig. 6), which students had to translate before answering.Figure 6: Q & A module Morse code question2.10 Week 11Mark, the astronaut stranded on Mars is packing his rovers for the big trip to the meeting point.Students were asked to use the data from the book chapters and generate
a wind turbine depends on (a) the available windenergy and (b) the rotor design that determines the portion of the available energy that can beharnessed, and (c) losses due to friction and generator efficiency. The ratio of the powergenerated by a wind turbine to the available power from the wind is the coefficient ofperformance Cp. Neglecting losses from friction and generator efficiency (which can besignificant), equation 1 represents the coefficient of performance Cp, where the product of totaltorque Q and rotational speed ψ provides the rotor power; and the denominator is a function ofair density τ, swept area A and average wind velocity parallel to the axis of the turbine, U♣. Qψ
Education, vol. 33, no. 2, pp. 162-177, 2000/12/01 2000, doi: 10.1080/08886504.2000.10782307.[2] G. M. Rafique, K. Mahmood, N. F. Warraich, and S. U. Rehman, "Readiness for Online Learning during COVID-19 pandemic: A survey of Pakistani LIS students," The Journal of Academic Librarianship, vol. 47, no. 3, p. 102346, 2021/05/01/ 2021, doi: https://doi.org/10.1016/j.acalib.2021.102346.[3] AUTODESK. "Autocad." https://www.autodesk.com/education/home (accessed.[4] F. Shines. "Distance learning and student services." https://dlss.flvc.org/qm-about (accessed 2/2/2021, 2021).[5] Q. Matters. "Quality Matter." https://www.qualitymatters.org/ (accessed.[6] U. o. F. O. o. T. Excellence. "UF's pathway to
Page 22.198.15Public gen As IntegerPublic maxGen As IntegerPublic bestFV As DoublePublic bestFVIndex As IntegerPublic historyBestFV As DoublePublic historyBestFVIndex As IntegerPublic feasibilityArray() As DoublePublic x As DoublePublic y As IntegerPublic z As IntegerPublic t As IntegerPublic start As IntegerPublic finish As IntegerPublic feasibilityBestIndex As IntegerPublic feasibilityBestProjNum As IntegerPublic feasibilityBestWeight As IntegerPublic infeasibleIndex() As IntegerPublic infeasibleTemp() As IntegerPublic Sum As IntegerPublic infeasible As IntegerPublic q As IntegerPublic r As IntegerPublic Form As BooleanPublic sheetName As StringSub Main()'Student Assignment Problem'January 4, 2011
todeliver their baskets. They spend around Q. 20.00 (US$ 2.50, 1 Quetzal=$0.13), in lightningproducts like candles and charcoal, and another Q.22.00 (US$ 2.55), in batteries for theirportable radios per month. That is Q. 42.00 (US$ 5.00) per month, almost 30% of their totalmonthly income.3.2 Example 2: Independence through Mobility, An Affordable WheelchairMission: To provide alternative, inexpensive means of transportation for poor, disabled peoplein Guatemala and later, other developing countries.Market Research: Generally, it is estimated that over 20 million people in developing countriessuffer from disabilities that severely limit their mobility, independent of assistive mechanisms.In the case of Guatemala, the major causes of handicap include
. Ashok, K., David, L., Gupta, A. K. & Wilemon, D. L. Accelerating The Development Of Technology-Based New Products. Calfornia Manag. Rev. 32, 24–44 (1990).5. Sugar, W. A. What is so good about user-centered design? Documenting the effect of usability sessions on novice software designers. J. Res. Comput. Educ. 33, 235 – 250 (2001).6. Scott, J. B. The Practice of Usability: Teaching User Engagement Through Service- Learning. Tech. Commun. Q. 17, 381–412 (2008).7. Mohedas, I., Daly, S. R. & Sienko, K. H. Requirements Development: Approaches and Behaviors of Novice Designers. J. Mech. Des. 137, 071407 (2015).8. Mohedas, I., Daly, S. R. & Sienko, K. H. Design Ethnography in Capstone Design
prior art, customer objective(s), customer requirements,design economics, drawings, analytical results, engineering changes, test reports, and an openissues list4. Patent search results may also be included. As the design develops, the presentationshould provide insights into design activities, design alternatives considered and selected,technical/economic trade-off analysis and justifications, and conclusions21. Often the TDR process includes oral presentations. During oral presentations, designassumptions, analysis, alternatives and design methods are challenged during question andanswer (Q&A) portions of the TDR. Duesing4 (2004) states that it is “…critical that engineersexplain their concepts and designs to an engineering and
, 2018.[2] V. Eubanks, Automating inequality: How high-tech tools profile, police, and punish the poor. St. Martin’s Press, 2018.[3] C. C. Perez, Invisible women: Exposing data bias in a world designed for men. Random House, 2019.[4] D. Norman, The design of everyday things: Revised and expanded edition. Basic books, 2013.[5] D. E. Forsythe, “New Bottles, Old Wine: Hidden Cultural Assumptions in a Computerized Explanation System for Migraine Sufferers,” Med. Anthropol. Q., vol. 10, no. 4, pp. 551– 574, 1996.[6] National Science Foundation, “Women, Minorities, and Persons with Disabilities in Science and Engineering,” 2017. https://www.nsf.gov/statistics/2017/nsf17310/digest/occupation/overall.cfm (accessed Jun. 23
/fpsyg.2017.00875. [Accessed July 1, 2020].[5] Gilmartin, S.K., Chen, H.L., Schar, M.F., Jin, Q., Toye, G., Harris, A., Cao, E., Costache, E.,Reithmann, M., & Sheppard, S.D. (2017). Designing a Longitudinal Study of EngineeringStudents’ Innovation and Engineering Interests and Plans: The Engineering Majors SurveyProject. EMS 1.0 and 2.0 Technical Report. Stanford, CA: Stanford University DesigningEducation Lab.[6] Hogrebe, F. (2018). Entrepreneurial Intentions in the Social Cognitive Career Theory:A Stanford Alumni Study. Master’s Thesis. Munich, Germany: Technische Universität MünchenTUM School of Management.[7] Brunhaver, S. R., Matusovich, H. M., Streveler, R. A., Sheppard, S., Carrico, C., & Harris, A.(2016). “Understanding
hours (gray), 4-8 hours (diagonals), 8-12 hours (dotted), or more than 12 hours per week (white). Table 6. Summary of Tukey HSD results for weekly effort groups with statistically significant differences. Self-Concept Group 1 Group 2 Q statistic p-value Confidence < 4 hours 12+ hours 3.833 0.035 Motivation < 4 hours 4-8 hours 5.479 0.001 Motivation < 4 hours 8-12 hours 6.072 0.001 Motivation < 4 hours 12+ hours 5.892 0.001
the video data. Table 1. Constraint Codes Code ExplanationDesign ConstraintsManufacturability DC/M Ease of manufacturability of final designHealth & Safety DC/HS Health and safety of end users engaging with final designLife Cycle DC/LC Life cycle concerns of final designEthical DC/E Ethical considerations associated with final designErgonomic DC/ERG Ergonomic considerations associated with final design and end usersQuality DC/Q Overall quality of final designFunctionality
30 40 15 Al Ti-13V-11Cr-3Al 4 Q& St St e
, an adaptation of student-formed teams that leaves the final team- forming decision in the hands of the instructorsAll of these team-forming approaches start before the first term begins by providing studentswith project proposal descriptions, sponsor contact information, and guidelines on what toconsider when looking at potential projects (e.g. personal interest, career goals, prior experience,special skills, anticipated workload). This material allows students to start thinking about thetype of the project before classes begin. At the first class meeting, after discussing courselogistics, explaining the team-forming process, and answering questions, students attend a‘Sponsor Q&A Expo’ where they meet with sponsors of projects
), ordisagreeing (4), or strongly disagreeing (5) to specific questions (1, 2, 3, 4) in the surveydiscussed in Section 3. Table A.1. Data Collection – Sections 1 & 2. Section 1 Section 2 Q 1 2 3 4 5 Q 1 2 3 4 5 Overall 1 15 3 1 0 0 1.26 1 20 11 1 1 0 1.48 1.37 2 14 4 1 0 0 1.32 2 22 8 2 1 0 1.45 1.39 3 14 4 1 0 0 1.32 3 21 11 0 1 0 1.42 1.37 4 12 5 2 0 0 1.47 4 19 11 0 3 0 1.61
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Questions Never % Rarely % Sometimes% Often% Always% Figure 2 : Level of agreement post-moduleFigure 2 shows the percentage response after completing the group-based productdesign/empathy module. Below is a breakdown of the responses from the class to the questionsmentioned in Table 4.Q.1 “When I don’t understand someone’s point of view, I ask questions to learn more”. The average class response was 4.3. Standard deviation for this question was 0.2561.58% of the class responded “often” and 0% as “never” and “rarely”.Q.2 “When a friend is upset, I try to show them I understand how they feel”. 61% of the class responded “often” which was the highest
. Manag. Rev., vol. 20, no. 4, pp. 295– 308, 2010, doi: 10.1016/j.hrmr.2009.09.002.[3] J. Mathieu, M. T. Maynard, T. Rapp, and L. Gilson, “Team Effectiveness 1997-2007: A Review of Recent Advancements and a Glimpse Into the Future,” J. Manag., vol. 34, no. 3, pp. 410–476, Jun. 2008, doi: 10.1177/0149206308316061.[4] I. Aggarwal and A. W. Woolley, “Team Creativity, Cognition, and Cognitive Style Diversity,” Manag. Sci., vol. 65, no. 4, pp. 1586–1599, Apr. 2019, doi: 10.1287/mnsc.2017.3001.[5] A. Edmondson, “Psychological Safety and Learning Behavior in Work Teams,” Adm. Sci. Q., vol. 44, no. 2, pp. 350–383, Jun. 1999, doi: 10.2307/2666999.[6] L. Meadows et al., “Interactive Panel: Improving the Experiences of Marginalized
Proceedings, 2018, doi: 10.18260/1-2--30204.[56] J. A. Mejia, D. Ruiz, V. Popov, A. Esquinca, and D. Gadbois, “Board 104: Asset-based Practices in Engineering Design (APRENDE): Development of a Funds-of-Knowledge Approach for the Formation of Engineers,” in Proceedings of the ASEE Annual Conference & Exposition, 2019.[57] S. L. Dika, M. A. Pando, B. Q. Tempest, and M. E. Allen, “Examining the Cultural Wealth of Underrepresented Minority Engineering Persisters,” J. Prof. Issues Eng. Educ. Pract., vol. 144, no. 2, pp. 1–9, Apr. 2018, doi: 10.1061/(ASCE)EI.1943-5541.0000358.[58] S. L. Dika, M. A. Pando, B. Q. Tempest, K. A. Foxx, and M. E. Allen, “Engineering self- efficacy, interactions with faculty
MathCAD MathCAD MathCAD SW Sim SW Sim SW Sim Ethics #1 Morales Sketch PLCObjectives Q#1 Q#2 HW#3 mini #1 quiz Takata Report Total 50 75 75 50 25 25 100 100 10 10 10 10 5 20 10 25 20 50 Avg 42.4 63.6 62.7 42.3 20.9 21.7
Research in 2006,” Des. Res. Q., Sep. 2006.[2] E. Sanders, “An Evolving Map of Design Practice and Design Research,” Interactions, pp. 13–17, Dec. 2008.[3] IDEO, The Field Guide to Human-Centered Design. 2015.[4] C. B. Zoltowski, W. C. Oakes, and M. E. Cardella, “Students’ ways of experiencing human-centered design,” J. Eng. Educ., vol. 101, no. 1, pp. 28–59, 2012.[5] I. Mohedas, S. Daly, and K. Sienko, “Design Ethnography in Capstone Design: Investigating Student Use and Perceptions,” Int. J. Eng. Educ., vol. 30, no. 4, pp. 888–900, 2014.[6] R. P. Loweth, S. R. Daly, J. Liu, and K. H. Sienko, “Assessing Needs in a Cross-Cultural Design Project: Student Perspectives and Challenges,” Int. J. Eng. Educ., vol. 36, no. 2, pp
-long learning. In Frontiers in Education Conference (FIE), 2014 IEEE (pp. 1-8). IEEE.20) Dreyfus, S., & Dreyfus, H. (2014). A five stage model of the mental activities involved in directed skill acquisition [monograph]. California University Berkeley Operations Research Center; 1980.21) Yock, P. G., Zenios, S., Makower, J., Brinton, T. J., Kumar, U. N., Kurihara, C. Q., ... & Watkins, F. J. (2015). Biodesign. Cambridge University Press.22) Creswell, J. W. (2013). Research design: Qualitative, quantitative, and mixed methods approaches. Sage publications.23) Patton M. Q. (2014). Qualitative Research and Evaluation Methods, Sage Publications Inc.; Fourth Edition, 201424) NVivo qualitative data analysis software; QSR
2003 National Industry Academia Dif. Design Phase Q Topic % % % Problem 1 Benchmarking of competitive products 79 69 10 Formulation 2 QFD/House of Quality 78 68 10 3 Engineering design specifications 98 94 4 4 Function decomposition 67 71 -4 5 Function structure 72 63 9 Concept and 6 Reverse engineering 64
midterm and final surveys.Table 2 contains the responses from the systems engineering students and Table 3contains the responses from the electrical and computer engineering students. The tablecolumns display the question number, the number of responses, average score, andstandard deviation for questions from both the midterm and the final surveys, the changein the average score between the midterm and the final surveys, and the complete text ofthe question. The results merit some detailed comments. Table 2. Survey results for questions asked of systems engineering majors. Midterm Final Std Std Change Q n Avg Dev n Avg Dev in Avg
to q 2 which was also pertinent to q 3)4: Yes, I think there would be an increased emphasis on simplicity and practicality.differencesin the design I think it poses an interesting dynamic of having to build someone else’s design.process This is something that can definitely occur out in industry so it gives them someknowledge real world experience on how to fit in within an existing design team. I door design however think students entering this kind of experience in academia might feelphilosophy like they are along for the ride and not really included in any of the decision making processes. To a small degree I would expect them to be
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theoretically calculate the p-njunction depth “xj” from the diffusion equation based on Fick’s Laws Q xj2 C( x ,t ) = exp − πDt 4 Dt but measure the p-n junction depth experimentally with the help of Philtec’s sectioner. They notonly calculate the oxidation thickness‘d’ theoretically based on Deal-Groove Model. d 2 + Ad = B(t + τ )but measure it experimentally with the help of ellipsometer. In addition, devices are emphasizedin several other courses, such as, Electronics I and II and Semiconductor