: Critiquing; RF: Referencing; CU: Cumulative; KI: Key Inquiry.] Line Verbal Data (Group O, n=5) Coding* 1 P2: Ims is going to be BMSOG over mu naught S I think. F-IN 2 P4: Say it again. F-AK 3 P2: (Repeat) Ims is going to be BMSOG over mu naught S (Repeats). The only thing I’m not sure about is the M S, but I think that’s F-EA right. We don’t have any other currents. 4 P3: Are a couple of
expected tocomplete two to three modules per week, allowing for flexibility to accommodate differences intheir schedule. The timing of this course could be described as a mix between a traditionalcourse, where there are hard due dates, and a correspondence course where most of the work isusually due at the end of the course.A large reason for the modularization of material and reduction in actual lecture and laboratorytime stems from various research. In the 1980's, Johnstone and Percival indicated that theaverage attention span was approximately 10-20 minutes.5 In addition, during an average 45-90minute lecture, each required refocus further decreases the attention span. It is believed byresearchers such as Dr. Carr that attention span has
." United Nations Organization. https://unsdg.un.org/resources/policy-brief-education-during-covid-19-and-beyond (accessed April 14, 2021).[3] S. Khan, R. Rabbani, I. Thalassinos, and M. Atif, "Corona Virus Pandemic Paving Ways to Next Generation of Learning and Teaching: Futuristic Cloud Based Educational Model," Available at SSRN 3669832, 2020.[4] J. Q. Michael Fullan, Max Drummy, Mag Gardner, "Education Reimagined: The Future of Learning," no. http://aka.ms/hybridlearningpaper. [Online]. Available: http://aka.ms/hybridlearningpaper[5] "Pandemic sparks game-changing approach to hardware training." https://www.cmc.ca/pandemic-sparks-game-changing-approach-to-hardware-training/ (accessed April 14, 2021).[6] Q. N. Naveed, M
active classrooms,” in 123rd ASEE Annual Conference & Exposition, 2016.[5] T. F. Nelson Laird, R. Shoup, G. D. Kuh, and M. J. Schwarz, “The effects of discipline on deep approaches to student learning and college outcomes,” Res. High. Educ., vol. 49, no. 6, pp. 469– 494, 2008.[6] E. P. Douglas, “Student construction of knowledge in an active learning classroom,” ASEE Annu. Conf. Expo., 2011.[7] D. L. Evans et al., “Tools for assessing conceptual understanding in the engineering sciences,” Front. Educ. Conf., p. 7803, 2002.[8] T. Pinarbaşi, N. Canpolat, S. Bayrakçeken, and Ö. Geban, “An investigation of effectiveness of conceptual change text-oriented instruction on students’ understanding of solution
illustrates a cognitive engine (artificial intelligence to provide an optimized communi-cation performance) taking as inputs the wireless environmental parameters to turn the knobs andmeters of the radio or radios it controls based on the acquired knowledge and policies. The cog-nitive engine in Figure 1b is the student, who observes and controls the radio(s) and learns fromtheir own and other students’ actions. (a) (b)Fig. 1. Cognitive radio system (a) and gamification concept for education (b).This paper will present a prototype of a wireless testbed using the educational gaming approach.We will discuss example scenarios, visualization tools, class modules, and evaluation
Page 11.1329.6engaged in active learning exercises. The clinic experiences engage students early on inthe higher order and integrative thinking that we hope they have experienced in theirundergraduate education. Table 1 below highlights some of the key clinic and/or projectbased ECE/EE curricula described in the literature and on the college websites. Table 1 -Engineering Clinic or Project-Based Modules in EE/ECE CurriculaCollege/University[Ref] Number Credits Course Name / Year(s) OfferedDegree(s) granted – credits of Courses % of total for the Degree(s) RequirementsDrexel University [9,11] ~6 20 Engineering Design Lab [12 cr - Freshman]BSEE, BSCE – 181 Credits (11
and the Eccles et al. Model of Achievement-Related Choices. In Handbook of competence and motivation, eds. A.J. Elliot and C.S. Dweck. New York: The Guilford Press.Echo Ridge (2017). Dyse – Dynamic Spectrum Environment Emulator, http://www.echoridgenet.com/products/dyse.Evans, J. S. B. T. (2003). In two minds: Dual-process accounts of reasoning. Trends in Cognitive Sciences, 7(10), 454-459. doi:10.1016/j.tics.2003.08.012Evans, Jonathan St. B. T. (2009). How many dual-process theories do we need? one, two, or many? (). Oxford: Oxford University Press. doi:10.1093/acprof:oso/9780199230167.003.0002Gee, J. P. (2003). What video games have to teach us about learning and literacy (1st ed.). New York
task of verifying the theoretical description of circuit performance is definitelyfound in the lower three Bloom’s levels. When the students were asked to predict the cause(s) fora given fault in the observed circuit behavior and then simulate as validation, they were workingin the upper three levels. Both of these tasks can also be done experimentally, but it may not bepossible to fully identify the cause of the fault using only one approach. Finally, the time andfrequency dependent data obtained for circuits using either method have similar formats and,thus, involve similar issues in doing them correctly. For example, triggering a scope (akadeciding when to start collecting data) and specifying time and voltage scales require verysimilar
: Transforming undergraduate education for future research biologists”. Washington, DC: The National Academies Press, 2003.[2] F.A. Banakhr, M.J. Iqbal and N. Shaukat, "Active project based learning pedagogies: Learning hardware, software design and wireless sensor instrumentation," in 2018 IEEE Global Engineering Education Conference (EDUCON), Tenerife, Spain, April 17-20, 2018, pp. 1870-1874.[3] D. Perkins, “Beyond Understanding,” in Threshold Concepts Within the Disciplines, R. Land, J.H.F. Meyer, and J. Smith, Eds. Rotterdam: Sense Publishers, 2008, pp. 3-19.[4] D. Reeping, L. McNair, M. Wisnioski, A. Patrick, T. Martin, L. Lester, B. Knapp, and S. Harrison, “Using Threshold Concepts to Restructure an Electrical and Computer
thesuccessful results with the take-home tests and to increase student engagement with the coursematerials, the instructor will increase the number of take-home tests to three such that studentswould take one test before their midterm exam and the other two tests between the midterm andfinal exams.AcknowledgmentThe researcher acknowledges the assistance, mentoring and reflection on teaching sessionsoffered by the Center for Teaching and Learning at UC San Diego.ReferencesAhern, A., O’Connor, T., McRuairc, G., McNamara, M., & O’Donnell, D. (2012). Criticalthinking in the university curriculum - The impact on engineering education. Journal ofEngineering Education 37(2), 125-132.Baghdadchi, S., Hardesty, R., Hadjipieris, P. A., & Hargis, J. (2018
. Content problematizing in this casewas unsuccessful in involving students in grappling with and reflecting on key issues of domainknowledge. It encouraged uninspired rote learning and failed to help student to construct aknowledge base to support problem solving, leading to substantial mismatches between teachingand learning objectives. Table III. Group Discussion Discourse s for Case ILine Verbal Discourse (Group FL, N=20) Content StyleNo. Code Code1 P2: Cut this into half? Add two? P SO2 P1" Yeah---Since this has different
FPGAthroughput capable of 28MS/s (when supporting both TX and RX) and a host maximumbandwidth similarly of 20MS/s (half-duplex) via the USB 3.0 interface. Hence, the hostconnection limits the maximum bandwidth to 20MHz of complex sampled I/Q data.Mid-Range SystemsMid-range systems, as with the full-featured systems, generally function as transceivers, withfairly wide sampling rates and spectral bands. However, these devices offer fewer choices interms of RF frontend configurations and host interfaces. Furthermore, mid-range systems relymore on host processing and do not offer stand-alone systems. However, these devices still offerimpressive SDR functionality and are fully compatible with the same tools as their moreexpensive counterparts at a
broaderliterature to pair with in house created assessments and class grades. Similar results on multiplemeasures provide stronger evidence for the success or failure of the innovation’simplementation.Identifying Repositories of Educational InnovationsIt can be difficult for practitioners to find reliable information on educational innovations withevidence within a wider domain. However, the idea of presenting research on teaching andlearning in the context of particular disciplines is not new22,23. Science education, Matheducation, and Engineering Education research communities have existed for decades. The WhatWorks Clearinghouse from the Institute of Educational Sciences at the U. S. Department ofEducation is one example of a research evidence
, M. “Putting the utility of match-tracking in Fuzzy ARTMAP to thetest,” In Proceedings of the Seventh International Conference on Knowledge-Based Intelligent Information (KES),London, England, 20032. Anagnostopoulos, G. C., Georgiopoulos, M., Ports, K., Richie, S., Cardinale, N., White, M., Kepuska, V., Chan,P.K., Wu, A., Kysilka, M., “Project EMD-MLR: Educational Materials Development and Research in MachineLearning for Undergraduate students,” Proceedings of the ASEE 2005 Annual Conference and Exposition, Session3232, Capstone & Educational Resource Developments, June 12-15, Portland, Oregon, 2005.3. Castro, J., Secretan, J.(*), Georgiopoulos, M., DeMara, R. F., Anagnostopoulos, G., and Gonzalez, A., “Pipeliningof Fuzzy ARTMAP (FAM
the findings. Many ECE programshave an introductory course in EE or ECE tailored to meet the needs of the particular program.Many programs use a common topic such as robotics to introduce the students to electrical andcomputer engineering knowledge areas including programming, sensors, and analog-to-digitalconversion. Only Purdue, Columbia and Illinois cover more than one or two knowledge areasand can be considered broad in scope. Table 1: Introductory courses from comparable institutions. Institution Course(s) Topics Rose-Hulman IT ECE 160 System engineering, teamwork
processes. Dr. Davis is a licensed private pilot and performs research primarily in areas related to aviation. His current research at OU involves the design and development of a new GPS Ground Based Augmentation System utilizing feedback control and the design of instrumentation and data acquisition for navigational systems. Additionally, he serves as the ECE recruiting coordinator and one of the primary academic advisers for ECE students.Mark B. Yeary, University of Oklahoma Mark B. Yeary (S’95M’00SM’03) received the B.S. (honors), M.S., and Ph.D. degrees from the Depart- ment of Electrical Engineering, Texas A&M University (TAMU), College Station, in 1992, 1994, and 1999, respectively. Following his graduation
-technicalaspects. The remaining five tags and the percentages associated with them are evidence that thestudents were still invested in the technical aspects of the course project.Table 1. Student responses for question 1 on the student reflection survey What was the most interesting aspect(s) of this project? How the Student game Java code Code Water Creative response Teamwork Graphics creation programming comes complexity challenges liberty code together % of 25 20
surprisingconsidering the directional nature of the antenna.Outdoor Signal Test: We rolled the large Cantenna to a distance of about 200 yards fromour building (Technology Center) and hooked it up through 2511 PLUS EXT2 wirelesscard to a laptop which was running Net Stumbler. We then turned the antenna to face theTech Center. Using our antenna we were able to pick up 8 access points with 4 of themhaving a signal to noise ratio (S/N) greater than or equal to 20 dB (a threshold requiredfor proper access). We then replaced the large cantenna with a smaller one and we werethen able to pick up 7 access points with 2 of them having S/N ratio that is greater thanthe threshold. Figure 8 shows location of our measurements with a white star. Figure 6. A
Seven EE courses at UW-FV will have been completed by theend of the Spring 2008 semester as part of this collaborative program starting in 2006.Initial feedback from students has been for the most part quite positive, however, as with anynew venture, we have a lot to learn, especially in the offering of distance courses.Bibliography 1. M. Sternhagen, J. Hoerning, C. Bronold , “Two-Year College Partners With Four-Year University To Offer Evening Engineering Degrees,” Proceedings of the 2006 ASEE Annual Conference 2. D.N. Buechler, “Improved Learning by Nontraditional Undergraduate Students in Analytical Methods In Engineering,” Proceedings of the 2003 ASEE Annual Conference 3. S. Owen, R. Goodnight, G. Randolph “The
. (2012). Upside down and inside out: Flip your classroom to improve studentlearning. Learning & Leading with Technology, 39(8), 12-17.[4] Herreid, C. F., & Schiller, N. A. (2013). Case studies and the flipped classroom. Journal ofCollege Science Teaching, 42(5), 62-66.[5] Strayer, J. F. (2007). The effects of the classroom flip on the learning environment: Acomparison of learning activity in a traditional classroom and a flip classroom that used anintelligent tutoring system (Doctoral dissertation, The Ohio State University).[6] Mason, G. S., Shuman, T. R., & Cook, K. E. (2013). Comparing the effectiveness of aninverted classroom to a traditional classroom in an upper-division engineering course. IEEETransactions on Education, 56(4
as a Learning Experience. What Research Says to the Teacher. ERIC, 1981. [2] A. Fernandez, C. Saviz, and J. S. Burmeister, “Homework as an outcome assessment: Relationships between homework and test performance,” 2006. [3] K. S. Jackson and M. D. Maughmer, “Promoting student success: Goodbye to graded homework and hello to homework quizzes,” in ASEE Annual Conference and Exposition, Conference Proceedings, 2017. [4] E. F. Gehringer and M. B. W. Peddycord III, “Teaching strategies when students have access to solution manuals,” age, vol. 23, p. 1, 2013. [5] J. Widmann et al., “Student use of author’s textbook solution manuals: Effect on student learning of mechanics fundamentals,” 2007. [6] L. Roecker, “Using oral
-2 -1.5 -1 -0.5 0 0.5 1 1.5 2 Time (s) -5 x 10 Fig. 6. MATLAB simulation of a square pulse (Amplitude=2V, Pulse width= 0.1 µs). 2.5 2 Voltage (V) 1.5 1 0.5 0 -2 -1.5 -1 -0.5 0 0.5 1 1.5 2 Time (s) -5
: Page 26.84.6 Figure 3. Graphing and Solving Simultaneously - TI – 89Note that, if a gain outside of the capability of the MOSFET is selected, the graphs will notintersect and there will be no simultaneous solution.Again utilizing the TI-89’s “Math” functions, the transconductance at the bias (Q) point can bereadily determined as well as shown in Figure 4:yfq = δ ID / δ VGS = 7.49mS Figure 4. Transconductance at the Q PointCalculating Circuit Component ValuesCalculating RD:RD = 6V / 897uA = 6.69KΩ6.69 KΩ is not a standard value. In order to compensate somewhat for an unspecified outputconductance (yos), we will round up RD to the next higher standard value resistor
the fact that students werecourse Levelle. rearranged to accommodate able to use videos repeatedly to Carpinelli, the use of the videos and prepare for exams John D. students' report of the Kimmel, effectiveness of this Howard S endeavourAnalog-circuit - Simoni, Mario. ASEE To present a series of analog- Quantitative Lab Surveys The activities used in the laboratorybased
cycle of the typicalcourse.Bibliography1. Bacon, D. (2004). “The Contributions of Reliability and Pretests to Effective Assessment,” Practical Assessment, Research & Evaluation, 9: 303-309.2. Kiewra, K.A. (1984). “Acquiring Effective Notetaking Skills: An Alternative to Professional Notetaking,” Journal of Reading, 90: 299 -301.3. Einstein, G.O., Morris, J., and Smith, S. (1985). “Note-taking, Individual Differences and Memory for Lecture Information,” Journal of Educational Psychology, 77: 522-532.4. Makany, T., Kemp, J., and Dror, I. E. (2009). “Optimising the Use of Note-taking as an External Cognitive Aid for Increasing Learning.” British Journal of Educational Technology, 40: 619-635.5. Angelo, T.A., and Cross
aerospaceGraphic organizers are described in [56] by Felder and Brent who provide an example on page viof [56]. Graphic organizers “preview material to be covered in class and/or summarize what wascovered and put it in a broader context.”56In the case of this two-course sequence, the VLSI Graphic Organizer gave students the bigpicture of the circuit design process in the context of authentic industrial and aerospaceproblems. The use of a graphic organizer is expected to be helpful because approximately 80%of engineering students are visual learners [27, Table 1].2) Learning objectivesFor each homework assignment, laboratory exercise, and exam, students are provided with atable mapping each problem to the appropriate course learning objective(s). This
actuators and programthe car in order to accomplish the following tasks upon execution of the program: 1. The desired speed of the car is taken from the user in m/s unit. Once the user enters the speed, the car starts moving. 2. The car follows a 2.5cm-wide black line on a white surface. 3. If there is an obstacle on the way, the car stops, goes around the obstacle, and continues its path.In addition to these features, students should be able to control the car manually from their phoneor their computer. Figure 1: Osoyoo Robot CarIII. A. HardwareThe main components in our robot car project are as follows: i. Line follower sensors ii. Ultrasonic sensor iii. Camera iv. DC motors v
quadratic costfunction parameters. Ct is the total cost, while PL and PD are the total loss and demandrespectively.REFERENCES[1] M. Kezunovic, A. Abur, H. Garng, A. Bose, K. Tomsovic, “The role of digital modeling and simulation in power engineering education,” IEEE Trans. Power Systems, vol. 19, n 1, pp. 64 – 72, Feb. 2004.[2] P. Idowu, “Development of a prototype resource optimizing, access delimited (ROAD) laboratory,” Proc. 2000 IEEE Power Engineering Society Winter Meeting, vol. 2, pp. 1405-1409.[3] M. M. Albu, K. E. Holbert, G. T. Heydt, S. D. Grigorescu, V. Trusca, “Embedding Remote Experimentation in Power Engineering Education,” IEEE Trans. Power Systems, vol. 19, n 1, pp. 139-143, Feb. 2004.[4] M., Varano; M., Patel; D., Asnani
, Rose-Hulman Institute of Technology Bruce A. Black (S’63-M’65-SM’89) completed his B.S. at Columbia University, his S.M. at Massachusetts Institute of Technology, and his Ph.D. at the University of California at Berkeley, all in electrical engineering. Since 1983 he has been on the faculty of the Department of Electrical and Computer Engineering at Rose-Hulman Institute of Technology in Terre Haute, Indiana, where he is also advisor to Tau Beta Pi and to the Amateur Radio club (W9NAA). His interests are in communications, wireless systems, and signal processing. He has developed a variety of courses and laboratories in the signal processing and communications areas, including a
. References[1] M. N. O. Sadiku and L. C. Agba, "A simple introduction to the transmission-line modeling," IEEE Page 12.567.17 Transactions on Circuits and Systems, vol. 37, pp. 991-999, 1990.[2] C. W. Trueman, "Teaching transmission line transients using computer animation," IEEE Frontiers in Education Conference (San Juan, Puerto Rico, 10–13 Nov.), pp. 9-11, 1999.[3] S. H. Mousavinezhad, "Electric & magnetic fields, transmission lines first?," 2006 ASEE Annual Conference & Exposition: Excellence in Education, 2006. http://www.asee.org/acPapers/code/getPaper.cfm?paperID=11331[4] P. C. Magnusson, Transmission