volume of waterwith solid body rotation can be shown to be ω 2 R14 h0 (3RR12 − R3 − 2R13 ) V = π[h1 R12 + + ] (2) 4g 3(R0 − R)where h1 (m) is the height of the water at the center of the frustum, ω (rad/s) is the angularvelocity, g (m/s2 ) is the acceleration due to gravity, and R1 (m) is the radius at the highestpoint of water. With the volume of water without rotation being the same as the volume ofwater with rotation (non-filtering assumption), the volume equation with rotation can beequated to the volume equation without rotation. With this, the resulting equation can
Conner, Qinang Hu, Brian Norton, and Tony Ivey, ”Oklahoma State University’s ENDEAVOR: Transformation of Undergraduate Engineering Educa- tion through the Experience-based learning.” 2020 ASEE Annual Conference & Exposition. June 21-24, 2020. Montreal, Quebec, Canada. Abstract submitted on Oct 14, 2019. Abstract accepted on October 28, 2019. Draft paper submitted on Jan 31, 2020. • Lead Author: B. Smyser, Reviewer and contributor: J. Conner, ”Measurements and Analysis for Mechanical Engineers”, 2nd Edition TopHat Publishing [ISBN: 978-1-77330- 957-6] 2019 • Lee, S., Conner, J. Arena, A. ”Aspects of Autonomous Recovery System for High Altitude Payloads by Using a Parafoil” AIAA Aviation and Aeronautics Forum and
. Brenner. Low Reynolds Number Hydrodynamics. Martinus Nijhoff Publishers, 1983.[2] L. Springer, M. Stanne, and S. Donovan. Effects of Small-Group Learning on Undergraduates in Science, Mathematics, Engineering, and Technology: A Meta-Analysis. American Educational Research Association. Vol. 69. 1999.[3] S. Freemana, S. Eddy, M. McDonough, M. Smith, N. Okoroafor, H. Jordta, and M. Wenderotha. Active learning increases student performance in science, engineering, and mathematics. 2014.[4] S. A. Kalaian, R. M. Kasim. A Meta-analytic Review of Studies of the Effectiveness of Small- Group Learning Methods on Statistics Achievement. Journal of Statistics Education. Volume 22, Number 1. 2014.
course can beplaced into an engineering curriculum to address the advanced topics. While we are planning anew full course on PLCs, we will continue placing the PLC module into the Introduction toProjects and Tools course.References[1] S. He, H. Rahemi, K. Mouaouya, “Teaching PLC Programming and Industrial Automation in MechatronicsEngineering,” 122nd ASEE annual conference and exposition, Seattle, WA 2015.[2] R, Liu, “Global PLC market returns to growth in 2017, after two-year contraction”,IHSMarkit, https://technology.ihs.com/584279/global-plc-market-returns-to-growth-in-2017-after-two-year-contraction, 2018.[3] GlobeNewsWire,” Programmable Logic Controllers (PLCs) - Worldwide Market Outlook to 2023, Driven by theIncreased Need to Reduce
mechanical design, andelectronics. For small lab spaces without the resources of larger groups, such as a universitylibrary system, dealing with controlled access of space and equipment, equipment maintenance,stocking of supplies, and orders for students can be extremely difficult. Also, using complexsystems can be burdensome for student employees with quick turnover. We provide a low costand customer friendly model for lab operations and staff training.References1 Mannickarottu, Sevile G. “From Course Instruction to Bio-MakerSpace: Creating a Lab Spacefor Independent Investigation and Innovation.” In American Society for Engineering Education:Annual Conference, Tampa, Fl, June 2019.2 Papert, S. & Harel, I. (1991). “Situating Constructionism
things to be done fast; their attention span has shrunk over the pastfew years. So, new engineering experiment designs have to take this into account. In thermalscience, an experiment that take over 40 minutes to reach steady state is considered very longand ‘boring’ by today’s students.Based on these trends, engineering professors are led to look for experimental designs that: can be constructed in-house with no money or little money can be duplicated to create more than one experimental station take relatively short time to perform have a clear and direct connection to theoretical concepts (not convoluted, so that students do not miss the point(s) of the experiment while trying to make sense of what they are doing
.” Physical Review Physics Education Research, vol. 12, no. 2. September, pp. 1-11, 2016.[3] J.T. Stanley and H.J. Lewandowski. “Recommendation for the use of notebooks in upper-division physics lab courses.” American Journal of Physics, vol. 86, no. 1, pp. 2018.[4] K Maton. “Legitimation Code Theory: Building knowledge about knowledge-building,” in Knowledge-building: Educational studies in legitimation theory, K. Maton, S. Hood, and S. Shay, Eds. New York: Routledge, 2016.[5] B. Bernstein. Class, codes and control: Volume 1: Theoretical studies towards a sociology of language. London: Routledge, 1971.[6] K. Maton. “Making semantic waves: A key to cumulative knowledge-building.” Linguistics and Education
., vol. 94, no. 1, pp. 121–130, Jan. 2005, doi: 10.1002/j.2168-9830.2005.tb00833.x.[2] “Criteria for Accrediting Engineering Programs, 2020 – 2021 | ABET.” [Online]. Available: https://www.abet.org/accreditation/accreditation-criteria/criteria-for-accrediting-engineering-program s-2020-2021/. [Accessed: 30-Jan-2020].[3] “College Factual,” College Factual, 20-Feb-2013. [Online]. Available: https://www.collegefactual.com/. [Accessed: 31-Jan-2020].[4] A. Yazidi, H. Henao, G.-A. Capolino, F. Betin, and F. Filippetti, “A Web-Based Remote Laboratory for Monitoring and Diagnosis of AC Electrical Machines,” IEEE Trans. Ind. Electron., vol. 58, no. 10, pp. 4950–4959, Oct. 2011, doi: 10.1109/TIE.2011.2109331.[5] R. M. Reck and R. S
Proceedings Frontiers in Education 35th Annual Conference, 2005, pp. F2E-8.[5] E. A.-L. Lee and K. W. Wong, "Learning with desktop virtual reality," Comput. Educ., vol. 79, pp. 49-58, 2014.[6] Z. Merchant, E. T. Goetz, L. Cifuentes, W. Keeney-Kennicutt, and T. J. Davis, "Effectiveness of virtual reality-based instruction on students' learning outcomes in K-12 and higher education: A meta-analysis," Computers & Education, vol. 70, pp. 29-40, 2014/01/01/ 2014.[7] V. S Pantelidis, Reasons to Use Virtual Reality in Education and Training Courses and a Model to Determine When to Use Virtual Reality vol. 2, 2009.[8] R. J. Stone, Haptic feedback: A brief history from telepresence to virtual reality, 2001.[9] K. C
partner was great in explaining everything even though we rebuilt the second circuit 4 times. I was able to get a big refresher using circuit boards. [Name] also helped me learn how to translate a digital drawing to a circuit.Here are some student statements directly addressing their PPPL experience, either from the sideof the “peer teacher” pair(s) or the ones receiving help, “peer student” pairs.Peer Teachers: I learned several new methods of troubleshooting when helping my classmates. Once we finished our circuit, we had to assist other groups, and since no group built the circuit the same way, being able to navigate each component was difficult. By the last group, I was able to work through their
-of-things platform as teaching aids in the industrialinstrumentation course International Journal of Online Engineering, 14(12), 26 - 42.Ding, Q., & Cao, S. (2017). RECT: A Cloud-Based Learning Tool for Graduate SoftwareEngineering Practice Courses With Remote Tutor Support IEEE Access, 5, 2262 - 2271.Pearson, T. (2014). A low-cost full-featured extensible laboratory for online hardwareengineering International Journal of Online Engineering, 10(3), 24 - 30.Shyr, W.J., Su, T.J., & Lin, C.M. (2013). Development of remote monitoring and a controlsystem based on PLC and webaccess for learning mechatronics International Journal ofAdvanced Robotic Systems, 10.Nedic, Z. (2012). Demonstration of collaborative features of remote laboratory
disciplinesincluding everyday life, not just mechanical engineering. Several temperature measurementsensors are introduced including, resistance temperature detectors (RTDs), thermistors, infraredtemperature sensors, thermocouples, and silicon bandgap sensors. Their application ranges,costs, accuracies and durability are discussed. This affords the students the opportunity todevelop a trade space analysis to select the appropriate sensor(s) for the experiments presented.Understanding trade space analyses generalize to other sensors and more globally for the studentto product design in real-world situations. The students select a minimum of two experimentspresented, each with a different sensor for the measurement of temperature.The learning objectives of this
-scale prototype (Figure 1)using toy cars but says it will be easy to build to scale. The team is confident that once the codeis refined, it will be simple to build a bigger scale system.The design could have other uses outside of construction work zones. It could also be useful inpublic safety, for hurricanes and other emergencies, especially to close roads and route traffic inone direction. If there’s a power outage, and traffic lights are inoperable, this system can be usedat these locations, a s well. Figure 1: Traffic Solver Proof of ConceptRobotic HandAnother senior design team is improving a robotic hand for sign language application. The teamwas tasked to add wrist and arm movements to spell particular letters
gain an enhanced visual appreciation of how trusses behave.In the 2018/19 academic year, 166 first-year engineering students at the University ofSaskatchewan volunteered for a pilot study that examined the efficacy of TrussVR©. The studywas approved by the U of S Behavioural Research Ethics Board. Volunteers completed a “pre-survey” that examined knowledge, skills, and attitudes regarding trusses, before trusses had beentaught in the classroom. Participants were then randomly assigned to one of three groups: no lab,regular lab, and TrussVR© lab. All participants then attended 2 weeks of in-class lectures ontrusses, frames, and machines, as they normally would. During this time, the “no lab” group didnot complete an experimental lab on trusses
arebased on the classic S. M. Sze Semiconductor Devices: Physics and Technology [6] text andshown in Table 1. Table 1. Non-idealities Experiment References Topic Laboratory Exercise Sze reference[6] Thermal effects Experiment 1: Thermal Effects on Ch. 3. p–n Junction, Sect. PN Junction Diodes and MOSFETs 3.4.3 Temperature Effect, pp. 96 Gain limitations and the Experiment 2: MOSFET Amplifier Ch. 5. Unipolar Devices, effect of load on a cir- Gain and Load Limits Sect. 5.5 The MOSFET: Ba- cuit’s output
three GTAs.All undergraduate assistants are native in English. All three GTAs were not native in English andwent to undergraduate schools in foreign countries. Only one Fall 2018 UTA returned as a UTAin Spring 2019.We analyzed each U/GTAs’ graded lab reports from the control and experimental groups tocompare their comments. TAs’ comments from the control group without the training are shortand/or simple questions (e.g. “labels? Figures of s/p & o/p signals?”). The feedback commentsfrom the experimental group after the training were more complete sentences to show theaudenice’s point of view (e.g. “You never describe how the barrel shifter is supposed tooperate.”), while some of their comments are still in the question format (e.g. “Which
fall semester of 2019especially to promote students’ problem-solving skills because problem-solving is consideredas the essential capacity in ABET accreditation [2].Problem-based learning (PBL) has proved an effective way of enhancing problem-solvingskills in many different disciplines, especially in medicine and engineering. Problem-basedLearning was first introduced at McMaster University in Canada, a pedagogy that stressesstudent-centered, small group learning (with teachers acting as facilitators) and organizedaround problems as specific attributes [3]. Since then, it has been widely used all around theworld, and there are many successful cases of applying PBL in professional education.Howard S. Barrows mentioned in his article that “PBL
, P. Iglesias, K. N. Leipold, and J. D. Wellin, “Recent developments in engineering measure- ments lab,” 2015 ASEE Annual Conference & Exposition, June 2015, https://peer.asee.org/24647. [7] Purdue University, “Catme smarter teamwork,” https://info.catme.org/about/overview/. [8] B. Oakley, R. Felder, R. Brent, and I. Elhajj, “Turning student groups into effective teams,” Journal of Student Centered Learning, 2004. [9] PASCO Scientific, “Pasco 2.0 capstone user’s guide,” www.pasco.com, 2020.[10] E. Selvi, S. Soto-Caban, R. S. Taylor, and W. R. Wilson, “Similar consecutive bridge design projects for fresh- men and sophomore level engineering courses,” 2011 ASEE Annual Conference & Exposition, June 2011, https
://pages.olin.edu/isim). Students learn touse an oscilloscope, a function generator, and a network analyzer using the Analog Discoverysoftware. The modules are presented in approximate order of increasing complexity. Over thecourse of the semester, students develop the understanding, skills and knowledge to achieve thecourse learning outcomes. Table 1 below lists the topics of the modules and the associatedlearning goals.Table 1. A list of the module topics and their learning goals. Module Topics Learning goal(s) 1 A simple pendulum (lab) Measure the change in pendulum angle with time using a potentiometer as a position sensor; solder components onto a printed