teams are highly committed to the projectsthroughout the semester; (iii) mentors are available and responsive to students, have internalsupport and value student work; and (iv) instructors constantly communicate with mentors andstudent teams, facilitate the student-mentor relationship and monitor the design and developmentprogress of each student team. As each project has its unique type, constraints and scope ofdesign or experiments, team office hours or interactive Questions and Answers (Q&A) sessionsthat are periodically scheduled throughout the semester between each team and instructor arevery helpful. Instructors can use these team office hours and Q&A sessions to better controlproject progress, address student needs and resolve
. 5. Total cost and profit.In the electric field of a line of charge example, a thin, uniformly charged rod of length L withtotal charge Q generates an electric field. Students are guided to find the strength of the field atdistance d in the plane that bisects the rod. Figure 1 Line of ChargeThe total charge Q is divided into many small point-like charges ΔQ located at points 𝑦𝑖 and theelectric field from each of them is determined. The net field can be found by summing the fieldsof all the point-like charges ΔQ and forming a Riemann sum. By taking the limit as the numberof point-like charges ΔQ increases to infinity, the Riemann sum will converge to a definiteintegral. The integral can be
. Battalora and B.A. Teschner, “Industry–University Partnerships: Engineering Education and Corporate Social Responsibility,” J. Prof. Issues Eng. Educ. Pract., vol. 144, no. 3, p. 04018002, Jul. 2018.[10] E. Conlon and H. Zandvoort, “Broadening ethics teaching in engineering: beyond the individualistic approach,” Sci. Eng. Ethics, vol. 17, no. 2, pp. 217–232, Jun. 2011.[11] C. Mitcham, “A historico-ethical perspective on engineering education: from use and convenience to policy engagement,” Eng. Stud., vol. 1, no. 1, pp. 35–53, Mar. 2009.[12] Q. Zhu and B. K. Jesiek, “A Pragmatic Approach to Ethical Decision-Making in Engineering Practice: Characteristics, Evaluation Criteria, and Implications for Instruction and Assessment
, 2004, pp. 77–80.[37] M. S. Kim and Y. S. Kim, “Analysis of perceived creativity and design team interaction,” in ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 2007, pp. 559–568.[38] Z. Qian, Y. Lan, J. Feng, and Q. Yiping, “Teamwork approach for senior research projects for college undergraduates,” in 2012 7th International Conference on Computer Science & Education (ICCSE), 2012, pp. 1999–2001.[39] N. Gonzalez, L. Moll, and C. Amanti, Funds of Knowledge : Theorizing Practices in Households, Communities, and Classrooms. Mahwah, NJ: Lawrence Erlbaum Associates, 2005.[40] C. G. Vélez-ibáñez and J. B. Greenberg, “Formation and Transformation of
the questionnaireadapted from the Engineering Student Survey and Students Persisting in Engineering Survey[30]. The self-reported ethnicities of WISE students indicated higher percentages of White andAsian students than the overall undergraduate population. GPA and percent of time studyingduring a typical week were normally distributed as assessed by histograms and q-q plots. Datawere self-reported and not available for undergraduate women STEM majors who did notparticipate in WISE.Table 1. Participant Characteristics from the WISE Mentee Survey (N = 51) Characteristic n Percentage Ethnicity Asian & Pacific American
their learning. This includes thetime to allow gradual maturing by the students to understand the process of their learning.Finally, based on the reflections provided by the student, there is more evidence of theirawareness and eagerness to realize the value of lifelong learning.In our courses, during each lecture, students engage in activities/problem solving and discusstheir thoughts, ideas and reflections with their teams. Through these reflections, the studentsreview and summarize their learning from previous lectures and at the same time they activelyengage in the process of thinking and deliberation within the classroom.A day in the non-calculus based class Every class, starts with a brief review, open discussions and Q/A of the last
63.4 11.0 25.71: Q: Question from survey (see Appendix A)2: Total number of students that provided feedback of “Strongly Agree”3: Total number of students that provided feedback of “Agree”4: Total number of students that provided feedback of “Neutral”5: Total number of students that provided feedback of “Disagree”6: Total number of students that provided feedback of “Strongly Disagree”7: % (+): Positive feedback expressed as a percentage (rounded up) of the total number of students that responded to the survey as either “Strongly Agree” or “Agree”8: % (-): Negative feedback expressed as a percentage (rounded up) of the total number of students that responded to the survey as either “Strongly Disagree” or “Disagree”9
algebra. The following topics areamong those areas: a) How to multiply two matricesIf we multiply a m×n (m is the number of rows and n is the number of columns) matrix by a n×pmatrix, the result will be a m×p matrix. If the number of columns of the first matrix is not equalto the number of rows of the second matrix, we cannot multiply those two matrices.In multiplication of two matrices, if the order of the two matrices change, if still the dimensionsallow multiplication, the result of multiplication will be different than the previous multiplicationunlike the multiplication of two scalars. b) How to write a set of equations with multiple unknowns in the form of matrices.If we have a set of q linear equations with q unknowns, the equations
1𝐿 = (2 𝐽𝑟 + 2 𝑚𝑝 𝑙𝑟2 ) 𝛳̇ 2 − 2 𝑚𝑝 𝑙𝑟 𝑙𝑝 𝛳̇𝜙𝑐𝑜𝑠𝜙 + (8 𝑚𝑝 𝑙𝑝2 + 2 𝐽𝑝 ) 𝜙̇ 2 − 2 𝑚𝑝 𝑙𝑝 𝑔𝑐𝑜𝑠𝜙 (1)After obtaining the Lagrange function for the system, from the Euler-Lagrange equation, theequations of motions for the rotary inverted pendulum can be derived:𝑑 𝜕𝐿 𝜕𝐿 𝜕𝐸𝑑 ( ) − 𝜕𝑞 + = 𝐹𝑞 (2)𝑑𝑡 𝜕𝑞̇ 𝜕𝑞̇where q = [θ, ϕ], 2 degrees of freedom. Fq in equation (2) is generalized force. Ed is dissipatedenergy by frictions, such as viscosity and Coulomb friction. In this model, Ed = 0 is assumed.Euler-Lagrange Equation with respect to (t ) leads to: 1
could be used to calculate the average speedvalue using a distance of 1 AU14.DiscussionThe project-based learning exercises can be delivered online to interested teachers. Some of thedata videos can be downloaded from our website when the paper is published15. The project-based applied research in solar physics with cosmic ray monitoring muon/neutron data can alsobe delivered online and NASA has scientists that would answer questions through online Q&Asessions. The Solar Dynamics Observatory has an outreach program for literacy at theelementary school level16. The solar physics related cosmic ray project focuses on theenrichment of high school teachers with continuous new data. Currently Fermi Lab is supportinga 3-week teacher summer
, Handelsman J: Increasing persistence of college students in STEM. Science 2013, 341:1455-1456.4. Tewolde G, Kwon J: Robots and Smartphones for attracting students to engineering education. In American Society for Engineering Education (ASEE Zone 1), 2014 Zone 1 Conference of the. IEEE; 2014: 1-6.5. Pearson G: Changing the Conversation: Messages for Improving Public Understanding of Engineering. 2008.6. Zhang X, Liu Y, Zhang F, Ren J, Sun YL, Yang Q, Huang H: On Design and Implementation of Neural-Machine Interface for Artificial Legs. Industrial Informatics, IEEE Transactions on 2012, 8:418-429.7. Donovan I, Valenzuela K, Ortiz A, Dusheyko S, Jiang H, Okada K, Zhang X: MyoHMI: A Low-Cost and Flexible
STEM graduation rates at our institution. We felt thatthe decision to focus on the introductory math courses was, for us, the correct approach.Likewise the General Chemistry I (CHEM 1441) and the Chemistry for Engineers (1465)courses also demonstrated substantially better pass rates for ESP students.Fig 1. Pass rates / drop rates in the first three semesters’ implementation of ESP coursesU Texas Arlington Composite Results Table Fall 2010 thru Fall 2011Fall 2010, Spring 2011 & Fall 2011 compositeCourse A B C Pass D F I Q W Drop TotalMath 1323* ESP 5 16 6 56% 3 8 0 0 10 21% 48Math 1323* non-ESP (1) 13 14 24
systems, a key concept of systems engineering. Students also learn how tooperate both systems, how to tweak the programs/inputs and make observations on how thechange in inputs result in the response of the systems. Such exercise builds their confidence andunderstanding of how the electromechanical systems work. After students are familiar with thetechnology and concepts, in the learning phase, they are introduced to the history of NASA’sspace exploration through series of NASA’s excellent video content available through multipleof NASA’s web resources [7]. Also, students are given opportunity to interact with NASA’sengineers through a live webinar and Q&A session to learn about NASA’s Journey to Marsprogram.In the second phase, students are
like engineers.AcknowledgementsSupport for this work is provided by the National Science Foundation under Award No. EEC1664228. Any opinions, findings, conclusions, or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation.References[1] National Science Board. (2016). Science and engineering indicators 2016. Arlington, VA: National Science Foundation (NSB-2016-1).[2] Tai, R. T., Liu, C. Q., Maltese, A. V., & Fan, X. T. (2006). Planning early for careers in science. Science, 312, 1143-1144.[3] Aschbacher, P. R., Li, E., & Roth, E. J. (2010). Is science me? High school students’ identities, participation, and aspirations in science
under Grant No.DRL-1657519. Any opinions, findings, and conclusions are recommendations expressed in thismaterial are those of the authors and do not necessarily reflect the views of the National ScienceFoundation .References[1] E. Iversen, “Engineering Outreach on Campus,” Washington, DC, 2015.[2] C. Gartland, “Student ambassadors: ‘role-models’, learning practices and identities,” Br. J. Sociol. Educ., no. September, pp. 1–20, 2014.[3] A. V. Maltese and R. H. Tai, “Eyeballs in the fridge: Sources of early interest in science,” Int. J. Sci. Educ., 2010.[4] R. H. Tai, C. Q. Liu, A. V. Maltese, and X. Fan, “Planning early for careers in science,” Science. 2006.[5] M. B. Ormerod and D. Duckworth, “Pupils
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success,” Educate, vol. 7, no. 1, pp. 39–47, 2007.[16] J. Otero, J. M. Campanario, and K. D. Hopkins, “The Relationship between Academic Achievement and Metacognitive Comprehension Monitoring Ability of Spanish Secondary School Students,” Educ. Psychol. Meas., vol. 52, no. 2, pp. 419–430, Jun. 1992.[17] P. R. Pintrich, “The role of metacognitive knowledge in learning, teaching, and assessing,” Theory Pract., vol. 41, no. 4, pp. 231–236, 2002.[18] O. Lawanto, “Students’ metacognition during an engineering design project,” Perform. Improv. Q., vol. 24, no. 2, pp. 115–134, 2010.[19] O. Lawanto and S. Johnson, “Student’s cognitive self-appraisal, self-management, and the level of difficulty of an engineering design project
. No time for Q&A Student dresses 1 Dress was Dress was Dress was casual. Dress was Not appropriately. appropriate for acceptable for very casual. done. technical technical presentation. presentation. Confidence was weak. Exuded Confidence was
required to operate andmaintain these manufacturing systems. The proposed course is well designed for students to learndifferent aspects of skills and knowledge over a period one semester giving graduates a valuableadvantage in an increasingly competitive job market. This proposed course can be a part ofadvanced material and manufacturing or 4D printing (e.g. self-healing and shape memorycomposites) courses for sophomore and junior levels.References[1] Q. Ge, C. K. Dunn, H. J. Qi, and M. L. Dunn, "Active origami by 4D printing," Smart Materials and Structures, vol. 23, p. 094007, 2014. [2] S. Tibbits, "4D printing: multi‐material shape change," Architectural Design, vol. 84, pp. 116‐121, 2014. [3] Z. X. Khoo, J. E. M
, “Andragogy in Practice: Clarifying the Andragogical Model of Adult Learning,” Perform. Improv. Q., vol. 14, no. 1, pp. 118– 143, 2001.
Research Journal of Engineering and Technology, 3(4), pp. 540-545[10]. Murr, M. (2018). Facial Action Coding FAQs. Retrieved from https://socialexploits.com/blog/facial-action-coding-system-faqs/[11]. Lucey, P., Cohn, J. F., Kanade, T., Saragih, J., Ambadar, Z., & Matthews, I. (2010). The extended Cohn–Kanade dataset (CK+): A complete dataset for action unit and emotion- specified expression. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (pp. 94–101).[12]. Khademi, M. & Morency, L.-P. (2014). Relative facial action unit detection. In ECCV Workshop on Computer Vision, (pp. 1090–1095).[13]. Ding, X., Chu, W.-S., De la Torre, F., Cohn, J. F., and Wang, Q. (2013). Facial action unit
/sites/msf.org/files/how_low_can_we_go_vl_pricing_brief.pdf[7] H. Shafiee, S. Q. Wang, F. Inci, M. Toy, T. J. Henrich, D. R. Kuritzkes, et al., "Emerging Technologies for Point-of-Care Management of HIV Infection." vol. 66, ed PALO ALTO: ANNUAL REVIEWS, 2015, pp. 387-405.[8] U. Demirci and H. Shafiee, "System and method for detecting pathogens," ed: Google Patents, 2014.[9] M. M. Müller, M. I. G. Fraile, M. K. Hourfar, L. B. Peris, W. Sireis, M. G. Rubin, et al., "Evaluation of two, commercial, multi dye, nucleic acid amplification technology tests, for HBV/HCV/HIV 1/HIV 2 and B19V/HAV, for screening blood and plasma for further manufacture," Vox Sanguinis, vol. 104, pp. 19-29, 2013.[10] C. PEREIRA
brought many of my online activities--like demonstrating tostudents how I would research a company--into my face-to-face course. More broadly, I’ve usedmy LMS page to be more transparent about course and assignment-level goals and objectives. Inan online course, it’s important to present those clearly to students in each unit to promote theself-regulation and reflection. I often discuss those objectives in my face-to-face course, but I’vebeen more intentional about using the LMS to highlight them. Similarly, I (Prof. Livingston) have incorporated several elements into my face-to-faceclasses, such as weekly checklists and Q & A discussion forums. I use the discussion forums tohave students apply course concepts which both prepares them
Education, 34(1), 2018, 88-96. [10] Patton, M, Q, Qualitative Research and Evaluation Methods, Sage Publications Thousand Oaks, California, 2002. [11] Miles M, B, and Huberman A, M, Qualitative Data Analysis: An Expanded Sourcebook, Sage Publications, Thousand Oaks, California, 1994. [12] Creswell J, W, and Clark V, L, P, Designing and Conducting Mixed methods Research, Sage Publications, Thousand Oaks, California, 2007.
printed beam and a low-cost accelerometerThe topics for the flip lectures included the following: • Introduction to Frequency Response/Bode Plots for Dynamic Systems • Bode Part 1: Sketching • Bode Part 2: Sketching Examples • Bode Part 3: Generating Bode Plots in Python • Bode Part 4: Interpreting Bode Plots (System ID) • Bode Part 5: Random Bode Problem Generator • Bode Part 6: Experiments on a DC Motor + Beam System • Digital Signal Filtering with ArduinoThe playlist for these videos can be found here: https://www.youtube.com/playlist?list=PL5C8qVtFmjvdDiLRgCW2u956zwqG24Z6O.Additionally, there was one live Q & A session before the exam covering the material fromthe flipped lectures.The 3D printed beam and
is the thermal voltage, which is equal to 25.7 mV under thestandard test condition (STC) which refers to a temperature of 25°C or 298K.2.2. Task 1 — Reading Datasheets:In Task 1, students were required to note down the manufacturer specified PV parameters fromsolar module datasheets, such as open-circuit voltage (𝑉𝑂𝐶 ), short-circuit current (𝐼𝑆𝐶 ), temperatureco-efficient of short-circuit current (𝐾𝐼 ), and the cell area. This is an important step before thesimulation models can be constructed. Only one solar cell’s data (Q-Cells; Model: Q6LMXP3-G3,Power Class: 4.53) was used for modeling and simulation7. This cell had the following parameters:𝑉𝑂𝐶 = 0.636V, 𝐼𝑆𝐶 = 9.15A, and 𝐾𝐼 = +4.575mA/K, and cell area = 243.36 cm2.2.3
temperatures, the water volumetric flow rate, and the air velocity weremeasured. The water-side measurements were used to calculate the heat transfer rate from theheat exchangers since that provided the lower uncertainty. Results for the four heat exchangersthat did not leak and had a non-zero water flow rate are shown in Table 1.Table 1. Heat exchanger performance results. Group 3 Group 4 Group 7 Group 11 q (W) 38.7 26.8 61.2 23.6Group 7’s design performed the best of the heat exchangers that did not leak and flowed water.Interestingly, their design, which is shown in the lower left corner of Figure 3, was the only onethat directed the water flow through multiple parallel channels. The instructor
Figure5, students can visualize the operation of a microgrid consisting of 2 synchronized inverters.Exploiting the capabilities of the controller, we can employ one to simulate a wind turbine byplaying back actual waveforms recorded at a functioning wind farm. Students can see thewaveforms both as a time domain waveform as well as a D-Q representation. Figure 5 Two synchronized inverters with one playing back wind turbine waveformAs seen above, students have control over enabling or disabling the PI control of both real andreactive current and voltage, controlling the setpoint for these outputs, as well as the P and Iconstants from the controller for each output variable.At this level of study, students may directly engage with the