Purpose of Assessment,” In Designing Better Engineering Education through Assessment. Spurlin, J.E, Rajala, S.A., and J.P. Lavelle, eds., 2008, Stylus Publishing, Sterling, VA10 ASQ Quality, Glossary – Q, Retrieved from http://asq.org/glossary/q.html11 ASQ Continuous Improvement, Retrieved from http://asq.org/learn-about-quality/continuous- improvement/overview/overview.html12 Quality management systems-Requirements, ISO 9001-2015 Standard, Retrieved from https://www.iso.org/obp/ui/#iso:std:iso:9001:ed-5:v1:en13 Embedded assessment: quality control vs. quality assurance. 2009. Presentation at Teaching Learning Center Faculty Development Series, South Dakota State University.14 Deming’s 14 Points on Total Quality Management, Retrieved from
year enrolled in the capstone design course. The courseis separated into two three-credit classes over two semesters. Typically there are around sevenprojects supporting five to eight students depending on the complexity of the project. At thebeginning of the year, the engineering students took the Kolb learning style quick assessment.Retrieved from https://www.google.com/?gws_rd=ssl#q=kolb+quick+assessment. This quickassessment consists of twenty questions that determine the learning style or preference of astudent as described in table 1. Engineering students with project teams consisted mostly ofstudent learning styles that are converging and assimilating. However, each team also had one ortwo students with learning styles of diverging and
Education Conference and Exposition Proceedings, 2014.[10] “Engineers’ Creed | National Society of Professional Engineers.” [Online]. Available: http://www.nspe.org/resources/ethics/code-ethics/engineers-creed. [Accessed: 19-Apr-2016].[11] C. Giligan, “In a different voice,” Camb. Harv. UP, 1982.[12] T. Kelly and J. Littman, “The art of innovation,” N. Y. Broadway Bus., 2001.[13] A. H. Eagly and V. J. Steffen, “Gender Stereotypes, Occupational Roles, and Beliefs about Part-Time Employees,” Psychol. Women Q., vol. 10, no. 3, pp. 252–262, 1986.[14] C. M. Vest, “Educating engineers for 2020 and beyond,” Natl. Acad. Eng., 2005.
presentation UL ASTM IEEE AAMI ANSI CSA Q&A Mechanical/Aerospace Biomedical Electrical/Computing Student Perspective Materials Science Library Science (b)Figure 6. Views of online presentation videos broken down by (a) panel type and (b)individual presentationIn addition to
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from the cooling tower, so the following equations can be employed Q mstm (h5 h6 ) UATlm ma (h3 h4 ) mmu hmu (7)where mstm is the mass flow rate of the steam, U is the heat transfer coefficient for the condenser,A is the surface area of the condenser, and Tlm is the log-mean temperature difference of thecondenser. For convenience, and in order to make the equations solvable, the averagetemperature between T1 and T2 is given as being equal to T4, which would naturally vary with theother temperatures. The objective of the exercise is to generate a graph of powerplant efficiencyas a function of outdoor humidity for a given outdoor temperature. Since Equation (7) cannot besolved explicitly
. (2013). “Assessing the Ethical Development of Civil Engineering Undergraduates in Support of the ASCE Body of Knowledge.” Journal of Professional Issues in Engineering Education and Practice.17. Harding, T. S., D. D. Carpenter, and C. J. Finelli. (2013). “Two Years Later: A longitudinal look at the impact of engineering ethics education.” Proceedings of the American Society for Engineering Education (ASEE) Annual Conference and Exposition, Atlanta, GA, June 23-26, 2013.18. Jesiek, B. K., Q. Zhu, S. E. Woo, J. Thompson, and A. Mazzurco. (2014). “Global Engineering Competency in Context: Situations and Behaviors.” Online Journal of Global Engineering Education, 8(1).19. Flanagan, J. C. (1954). “The Critical Incident Technique
Implementation of a Mechatronics Learning Module in a Large First-Semester Engineering Course. IEEE Transactions On Education, 53 (3), 445-454.7. Durfee, W. K. (2003). Mechatronics for the masses: a hands-on project for a large, introductory design class. International Journal of Engineering Education, 19 (4), 593-596.8. McLurkin, J., Rykowski, J., John, M., Kaseman, Q., & Lynch, A. J. (2013). Using multi-robot systems for engineering education: Teaching and outreach with large numbers of an advanced, low-cost robot. Education, IEEE Transactions on, 56 (1), 24-33.9. Nedic, Z., Nafalski, A., & Machotka, J. (2010). Motivational project-based laboratory for a common first year electrical
Achievement Motivation, J. T. Spence, Ed. San Francisco, CA: W. H. Freeman.[16] Q. Jin, S. Purzer, and P. K. Imbrie, “Measuring first-year engineering students’ knowledge and interest in materials science and engineering,” Proc. Am. Soc. Eng. Educ. Ann. Conf., San Antonio, TX, 2012.[17] H. M. Matusovich, R. A. Streveler, R. L. Miller, and B. A. Olds, “I’m graduating this year! So what IS an engineering anyway?” Proc. Am. Soc. Eng. Educ. Ann. Conf., Austin, TX, 2009a.[18] H. M. Matusovich, R. A. Streveler, R. L. Miller, and B. A. Olds, “Competence in engineering: A tale of two women,” Proc. Am. Soc. Eng. Educ. Ann. Conf., Austin, TX, 2009b.[19] S. Brunhaver, C. Carrico, H. Matusovich, R. Streveler, P. Boylan-Ashraf, and S. Sheppard
= × 𝐴 × ∆𝑇 (1) 𝑑𝑡 𝑅 𝑑𝑄 The thermal power ( ) , due to amount of heat (Q) passing through the target in a time 𝑑𝑡unit, is dissipated from the target surface by means of convection, conduction, and radiation.According to Albatici et al.(2008), the contribution of conduction is not as important a factor asconvection and radiation 8. Fokaides et al. (2011), Ham et al. (2013), hypothesized that the mainheat transfer from the target to the sensor of the thermal camera is due to thermal radiation andthermal convection as given in equations (2) and (3) 4,8 . The calculation of the R-value in
/10.1016/j.sbspro.2015.01.664Lin, Q. (2008). Preservice teachers' learning experiences of constructing e-portfolios online. The Internet and Higher Education, 11(3), 194-200. http://dx.doi.org/10.1016/j.iheduc.2008.07.002Lorenzo, G., & Ittelson, J. (2005). An overview of e-portfolios. Educause Learning Initiative. Educause Learning Initiative, 1(27). Retrieved from https://net.educause.edu/ir/library/pdf/ELI3001.pdfMacias, J. A. (2012). Enhancing project-based learning in software engineering lab teaching through an e- portfolio approach. IEEE Transactions on Education, 55(4), 502-507. http://dx.doi.org/10.1109/TE.2012.2191787McCready, T. (2007). Portfolios and the assessment of competence in nursing: A
thebeginning of the year, the engineering students took the Kolb learning style quick assessment.Retrieved from https://www.google.com/?gws_rd=ssl#q=kolb+quick+assessment. This quickassessment consists of twenty questions that determine the learning style or preference of astudent as described in table 1. Engineering students with project teams consisted mostly ofstudent learning styles that are converging and assimilating. However, each team also had one ortwo students with learning styles of diverging and accommodating. Therefore, each teamconsisted of individual learning preferences that tend to complement one another. Also, in orderto have successful capstone projects, faculty rearranges and balances out the makeup of theteams in terms of academic
38% 2 35% Fig. 7. Survey Response – Question # 14 (I feel that undergraduate research is preparing me for more demanding research in the future).A summary of the results from all fifteen questions is provided in Table 1. It may be noted thatthe weighted average for each question is listed in the last column of this table. Table 1. Survey Responses – Summary. Survey Response (No. of students) Weighted Q 1 2 3 4 5 Response 1 6
errorsand debug the software logic mistakes. Most of all they will benefit from this hand-on experienceby involving in the entire process of construction from the beginning to the end in the field ofrobotics and automation [5].A Hand-on introduction Course to roboticsThe author teaches an undergraduate-level robotics and automation course for MechatronicsEngineering Technology students at a U.S. university. The course covers the following topics: Introduction to generic Robotics and background [Activity: viewing related video and Q &A; prepare the hardware and the software for the project; set up the teams.] Introduction to LEGO Robotics system (hardware & software) [Activity: Familiarize LEGO parts and open
into two three-credit classes over two semesters. Typically there are around sevenprojects supporting five to eight students depending on the complexity of the project. At thebeginning of the year, the engineering students took the Kolb learning style quick assessment.Retrieved from https://www.google.com/?gws_rd=ssl#q=kolb+quick+assessment. This quickassessment consists of twenty questions that determine the learning style or preference of astudent as described in table 1. Engineering students with project teams consisted mostly ofstudent learning styles that are converging and assimilating. However, each team also had one ortwo students with learning styles of diverging and accommodating. Therefore, each teamconsisted of individual learning
] Wbp Wbp 100 d. Fuel Efficiency, ηBT = [percent] mf q fSpeed Regulation of a DC motor with Pulse Width ModulationDuring this signature lab, students used a method called “Pulse Width Modulation (PWM)” toregulate the speed of a DC motor. The DC motor is probably the most important type of actuatorsused for instrumentation and control. It is widely used in agricultural machinery, medical robots,home appliances, etc. Numerically controlled lathes (mills) and 3D printing are two moderntechnologies enabled by the precision control of the speed and position of motors
% N=68Table 4. Demographics: Engineering Major, Academic Standing, Qualitative SAT, GPA Q Course Engineering Major Standing GPA SAT Civil Chem. Elec. Indust. Mech. Sophomore Junior Test, 12.2% 37.4% 5.2% 13.0% 32.2% 63.5% 34.8% 551 2.98 N=43 Control, 11.0% 33.3% 3.2% 8.9% 43.6% 68.6% 29.3% 556 2.95 N=68Data analysisThe survey responses were pooled based on engineering dimension
Education: Innovations and Research, 14(2), 29.9. Li, 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), 361.10. Doolen, T., & Long, M. (2007). Identification of retention levers using a survey of engineering freshman attitudes at oregon state university. European Journal of Engineering Education, 32(6), 721-734. doi:10.1080/0304379070152078411. Jonassen, D., Strobel, J., & Lee, C. B. (2006). Everyday problem solving in engineering: Lessons for engineering educators. Journal of Engineering Education, 95(2), 139-151.12. Strobel, J., & Pan, R
.[14] Raspberry Pi Diagram. (n.d.). [Online]. Available:https://www.google.com/url?sa=i&rct=j&q=&esrc=s&source=images&cd=&cad=rja&uact=8&ved=0CAcQjRxqFQoTCO2xoan7ssgCFUGNDQod140FYQ&url=https%3A%2F%2Fwww.raspberrypi.org%2Flearning%2Frobot-antenna%2Fworksheet%2F&psig=AFQjCNG9MWf-2bzcSvvTmdadxa7t1KjZOg&ust=1444396721593289. Accessed: September 22, 2015.[15] Raspberry Pi Foundation. (n.d.). About Us. [Online]. Available:https://www.raspberrypi.org/about/. Accessed September 20, 2015.[16] Raspberry Pi Foundation. (n.d.). Raspberry Pi 2 Model B. [Online]. Available:https://www.raspberrypi.org/products/raspberry-pi-2-model-b/. Accessed September 20, 2015.[17] Raspberry Pi Foundation (n.d.). Raspi-Config
number of repeated markers known headers (question, > (𝒕𝒉𝒓𝒆𝒔𝒉 − 𝟑) 2 ques, q, pre, post) Table 1. Heuristics for identifying the header row.In order to identify the boundaries of the payload within the data, we first start by identifying theheader row of the payload. The header row consists of column names of the various columnsavailable in the assessment scores. These could be student particulars such as name, identifier, orgender, or the particular assessment information, such as grade, question number, or aggregatescore. Our model consists a series of heuristics that score rows and columns for identifyingwhich row contains column headers, and which rows contain
. 14(S2): p. 95-112.13. Jones, Q., G. Ravid, and S. Rafaeli, Information overload and the message dynamics of online interaction spaces: A theoretical model and empirical exploration. Information systems research, 2004. 15(2): p. 194-210.14. Rogers, E.M., Diffusion of Innovations. 1983, New York: Free Press.15. Karahanna, E., D.W. Straub, and N.L. Chervany, Information technology adoption across time: a cross-sectional comparison of pre-adoption and post-adoption beliefs. MIS Quarterly, 1999: p. 183- 213.16. Bandura, A., Social Learning Theory. 1977, New York: General Learning Press.17. Kanawattanachai, P. and Y. Yoo, The Impact of Knowledge Coordination on Virtual Team Performance Over Time. MIS Quarterly
the Panama Canal. Tenn. JL & Pol'y, 2008. 4: p. 303.20. Berrey, C.A., Inequality, demography, and variability among early complex societies in Central Pacific Panama. Journal of Anthropological Archaeology, 2015. 40: p. 196-212.21. Wedgwood, A. and K. Sansom, Willingness-to-Pay Surveys: A Streamlined Approach: Guidance Notes for Small Town Water Services. 2003: WEDC, Loughborough University.22. Carse, A., Nature as infrastructure: Making and managing the Panama Canal watershed. Social Studies of Science, 2012: p. 0306312712440166.23. Fotos, M., Q. Newcomer, and R. Kuppalli, Policy Alternatives to Improve Demand for Water- Related Ecosystem Services in the Panama Canal Watershed. Journal of Sustainable Forestry
coursesimulating the online delivery. After comparing the grades with attendance rate shown in thehistograms on Figures 7 and 8, there exists a correlation between grades and attendance rate.Three students who failed the labs in the piloted course attended only 61.9%, 52.4 % and 19.1%of the classes. All the students in the face-to-face course attended 68% or more of all the classes.Students who failed the labs in the piloted-class missed many lab chats session during the 11weeks. This preliminary data shows the importance of attending the Question-and-Answer(Q&A) chat sessions when it comes to lab experiments. © American Society for Engineering Education, 2016
the arm isstraight, so toward the waist is where the legs need to be equal with the arm.”Instructor’s response:Please watch these you tube videos: http://www.youtube.com/watch?v=d4nMOUiXI-Q, http://www.youtube.com/watch?v=d1E6Y8XeoHI”Student D Response:“The point of the dancer's hand is a resultant equilibrium of the forces exerted on the dancer'sbody that equals a force necessary to allow the dancer to remain in a balanced position.”Student E Response:“I agree, not only is both strength and balance needed but also they complement each other byrequiring less strength for a hand stand when the dancer is well balanced.” Spring 2016 Mid-Atlantic ASEE Conference, April 8-9, 2016 GWUStudent B Second Response:“In order to maintain
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Conference on Mathematics Education in a Global Community, Palermo, Italy, 2007.11. Allen, K., The Statistics Concept Inventory: Development and analysis of a cognitive assessment instrument instatistics (Doctoral dissertation), SSRN Electronic Journal, 2006, doi:10.2139/ssrn.213014312. Wilcox, B., Caballero, M., Baily, C., Sadaghiani, H., Chasteen, S., Ryan, Q., and Pollock, S., “Development anduses of upper-division conceptual assessments”, Phys. Rev. ST Phys. Educ. Res. 11, 020115 – Published 23September 2015, http://journals.aps.org/prstper/pdf/10.1103/PhysRevSTPER.11.02011513. Streveler, R., Miller, R., Santiago-Roman, A., Nelson, M., Geist, M., and Olds, B., “Rigorous Methodology forConcept Inventory Development: Using the 'Assessment Triangle
improvements during an industry-‐sponsored civil engineering senior design course. Proceedings of the ASEE 2015 Annual Meeting. Washington, DC: ASEE. Paper ID #12028 11. Golder, K., & Webb, D. B. (2015). Educating, enlightening, and entertaining: Audience perceptions of the educational value of a presentation competition for engineering students. Proceedings of the ASEE 2015 Annual Meeting. Washington, DC: ASEE. Paper ID #12335 12. Gotch, C. M., Langfitt, Q., French, B. F., & Haselbach, L. (2015). Determining reliability scores from an energy literacy rubric. Proceedings of the ASEE 2015
environment,” Journal of Economic Education, 31(1), 2000, 30-43.2. Bishop, J. L., M.A. Verleger, “The Flipped Classroom: A Survey of Research,” Proceedings of the ASEE Conference, Atlanta, GA (2013).3. Foertsch, J., G. Moses, J. Strikwerda, M. Litzkow, “Reversing the Lecture/Homework Paradigm Using eTEACH Web-based Streaming video Software,” Journal of Engineering Education, 91(3), 2002, 267-274.4. Talbert, R. “Learning MATLAB in the Inverted Classroom,” Proceedings of the ASEE Conference, San Antonio, TX (2012).5. Kecskemety, K. M., B. Morin, “Student Perceptions of Inverted Classroom Benefits in a First-Year Engineering Course,” Proceedings of the ASEE Conference, Indianapolis, IN (2014).6. Stickel, M., S. Hari, Q