Paper ID #34625WIP: Collaborative Undergraduate Research Project to Develop aRemotely-Accessible, Open-Source, Portable, Software-Defined Radio-BasedAntenna Range for Research, Education, and OutreachCarl B. Dietrich, Virginia Polytechnic Institute and State University A licensed Professional Engineer in Virginia, Carl Dietrich earned a BS EE degree from Texas A&M University, and MS EE and PhD EE degrees from Virginia Tech. He has taught courses in software defined radio, communications systems, electronics, and electromagnetic fields. He has also taught short courses on software defined radio since 2007, covering
. American c Society for Engineering Education, 2021 S den age f a -g aded ac i i ie in a Ci c i Anal i e b kAb acIn hi a e , e anal e he e f a -g aded ci c i anal i blem , called challengeac i i ie , b e 800 den ac 8c e in 4 ni e i ie nde and me ic ch a : he a e age c m le i n a e, he a e age ime en n each ac i i , and he a e age n mbe fa em e blem le el. We al iden if he e cen age f den ha ggle, and he e cen age f den ha ga e . F m anal i e e f nd he ac i i ie a nd he ic f ma im m e an fe , n dal e a i n , N n e i alen , and e ie and a allel ei be he ha de d e ma h e i emen and he need iden if e ie and a
. Dabipi, Y. Jin, P. Matin, "Inspiring Undergraduate Students in Engineering Learning, Comprehending and Practicing by the Use of Analog Discovery Kits," Frontiers in Education (FIE) 2015, Oct. 2015, El Paso, TX.3. K. Connor, B. Ferri, K. Meehan, A. Ferri, D. Walter, M. Chouikha, Y. Astatke, D. Newman, “Experiment Centric Pedagogy and Why it Should be a Core Part of Every Engineering Student’s Learning Experience,” NSF Envisioning the Future of STEM Undergraduate Education, Washington, DC, 27-29 April 20164. K. Connor, D. Newman, K. Gullie, Y. Astatke, C. Kim, J. Attia, P. Andrei, M. Ndoye, “The Implementation of Experiment Centric Pedagogy in 13 ECE Programs – The View from Students and Faculty,” ASEE Annual Conference
throughput enhancement for 5g enabled uav swarm networking,” IEEE Journal on Miniaturization for Air and Space Systems, pp. 1–1, 2021.[11] X. Liu, H. Song, and A. Liu, “Intelligent uavs trajectory optimization from space-time for data collection in social networks,” IEEE Transactions on Network Science and Engineering, pp. 1–1, 2020.[12] C. Xu, B. Chen, Y. Liu, F. He, and H. Song, “Rf fingerprint measurement for detecting multiple amateur drones based on stft and feature reduction,” in 2020 Integrated Communications Navigation and Surveillance Conference (ICNS), 2020, pp. 4G1–1–4G1–7.[13] J. Eason, C. Xu, and H. Song, “Software define radio in realizing the intruding uas group behavior prediction,” in 2020 IEEE 39th International
interactive tools allowed the instructor to assess students’ understanding of course topics in real time and to adjust the exercises and lecture content accordingly. Figure 2. Screenshots of the iLearn course page. (a): The pre-recorded video section. (b): Weekly schedule sections.2) Eliminate traditional exams, increase the weight of labs and the term project in the final grade, and design a new tech interview-style coding exam. This one-hour exam contained one coding problem that was closely related to the lab exercises. Just like a tech interview, each student was assigned an individual breakout room (a Zoom feature) during the exam, worked on the coding problem using a Google doc shared
Cambridge Handbook of Engineering Education Research, A. Johri and B. M. Olds, Eds., New York: Cambridge University Press, 2013, pp. 83–102, ISBN: 978-1-139-01345-1. DOI: 10.1017/CBO9781139013451.008.[11] B. Rittle-Johnson, “Promoting transfer: Effects of self-explanation and direct instruction,” Child Development, vol. 77, no. 1, pp. 1–15, Feb. 2006, ISSN: 0009-3920, 1467-8624. DOI: 10.1111/j.1467-8624.2006.00852.x.[12] R. A. Streveler, T. A. Litzinger, R. L. Miller, and P. S. Steif, “Learning conceptual knowledge in the engineering sciences: Overview and future research directions,” Journal of Engineering Education, vol. 97, no. 3, pp. 279–294, Jul. 2008, ISSN: 10694730. DOI: 10.1002/j.2168-9830.2008.tb00979.x.[13
- gram committee member for IEEE Globecom, ICC, ICCCN and VTC conferences, and a reviewer for several international journals and conferences.Mr. Richard Brown Bankhead III, Seattle University Richard B Bankhead III is an Instructor and the Innovator in Residence for the Francis Wood, S.J. and Nick Arvanitidis, PhD Innovation Lab in the Electrical and Computer Engineering Department at Seattle University.Dr. Jennifer M. Dorsey, University of Texas at Austin Jennifer works as an educational research consultant in addition to her work as a Senior Research Analyst at the Charles A. Dana Center, a grant funded group at the University of Texas at Austin. Jennifer re- ceived her doctorate in the Culture, Community, and
-shelf motor driverboard (TB6612FNG Dual Motor Driver Carrier). The complete circuit diagram for the PCB isavailable in Appendix A. Figure 5: 3D Model of the motor controller and power distribution board. Next, students use additive manufacturing and modeling to design the robot body andbuild the robot. The body is fully customizable, but templates are provided as a starting point.Several off-the-shelf components (motors, nuts, bolts, switches, etc.) are integrated to the body tocreate the robot. The students must wire their PCB to the different systems before completing therobot per the robot circuit diagram provided in Figure 6. A picture of a student’s µSAFABOTmid-build is provided in Figure 7. Appendix B provides models for
code of 7 bits per ship (6 bits for the rowand column of the ship’s upper left square, plus one bit to saywhether the remainder of the ship lies below or to the right). Students discussed whatinformation needs to be established between the communicating parties in advance, in addition tothe basic mapping (000=A, 001=B, etc.). For example, the 64-bit message requires agreement onthe raster scan order, and the 21-bit code requires agreement on the ship order (e.g., longest toshortest).Next, modulation was introduced as a mappingfrom individual bits or groups of bits in the sourceencoded message to transmission symbols. Theinstructor showed transmission with a flashlight;each wave (ON or OFF) conveys one source bit asone transmission symbol. With
wasgiven as extra credit towards their final grade. Students had to attend a majority, but not all, classlectures to receive the maximum amount of extra credit points, which was capped at a 3% boost totheir final grade. Students who did not attend a majority of lectures received a portion of the extracredit points that correlated to the number of lectures they attend. While this method for awarding 2 a) b)Figure 1: Selected problem from the beginning of the course for calculating the real power dissipated by a single phase system. (a) is the selected problem with the multiple choice answers given.(b) is the student responses, and the correct answer is marked in green.extra
covered. Note that some of theselectures were longer than others. Certain lectures spanned two course days, while others had toshare a day with an exercise or student challenge. 1. Concept of the frequency domain, introduction to Fourier Series, Fast Fourier Transform (FFT), and power spectral density, spectral analysis of signals found in the environment around them. Students receive actual FM radio, LTE, GSM, ADS-B signals; any signals they can find using their provided SDRs and antennas. 2. Nyquist sampling, concept of “not losing information” when sampling a band-limited signal, and the concept of band-limited. They will observe the type of artifacts that occur with inadequate sampling, such as aliasing. 3. IQ
learn to complete the challenges. For instance, when a student needs to design a pedometer, we first go through a tutorial covering how to interface with the analog sensor to read the raw data. The tutorials guide them through the process that they then need to utilize to accomplish the task. 4. Challenges a. The challenges are the most critically assessed portions of the labs. Once students complete the previous three sections, we make sure that they have all the prerequisite knowledge and tools to accomplish the challenge. b. It is in the challenges where we assess critical thinking, creativity, and the effective application of knowledge
regarding what a student feels are the correct answers, specific rulesbased on a student’s drop-down selections can be applied once certain responses are removed fromconsideration. In this case, the rules would be applied after the three responses indicating a changein the power of R1 were removed. So too, responses that correspond to drop-down selections inwhich ONLY the power of R2 was believed to change could be removed to avoid lumping localizedwith sequential misconceptions. Even without using drop-down selection to eliminate the potentialfor false positives, the results are promising considering only a very simplistic word-matchingapproach was used. B. Constant Voltage ErrorsThe second most common error that showed up in in student
Paper ID #32687Implementation and Design of a Novel Student Developed Modular HTOL/HTRBSystem Using Thermoelectric ControlMr. Nathaniel J. O’Neal, Naval Postgraduate School Graduate Student at Naval Post-Graduate School, Electrical Engineering Dept. B.S. Electrical Engineer- ing, United States Naval Academy B.S. Computer Engineering, United States Naval AcademyMatthew A. Porter, Naval Postgraduate SchoolCmdr. Christopher Adrian Martino, United States Naval Academy Commander Chris Martino is a Permanent Military Professor and the Associate Chair for the Electrical and Computer Engineering Department at the United States Naval
technologies, and their applications. The course will berevised continuously based on student feedback and lessons learned about the content, projectassignment, and hands-on activities. 9References[1] Yoder, B. L. (2017). Engineering by the Numbers, American Society of Engineering Education, Retrieved on January 1, 2021 from: https://www.asee.org/documents/papers- and-publications/publications/college-profiles/2017-Engineering-by-Numbers- Engineering-Statistics.pdf[2] Sen, P. K. (2011, April). Electric power and energy engineering education in USA: A status report, issues and challenges. In 2011 Rural Electric Power Conference (pp. A1-1).[3] Holland, S. (2020). Power
acknowledgesetbacks or problems, perhaps indicating that students believe that failures are uncommon inactual practice. By supporting students in learning how to fail or to see failure as a useful tool, itmay also improve their ability to make use of prototyping, experimentation and planning forfailure as part of the design process. Taken together, these results suggest that SEED Lab offers apromising approach for helping students develop skills related to engineering practice.AcknowledgementsThe authors gratefully acknowledge the contributions of Amanda Blickensderfer, John-PaulMeyer, Colin Siles, Tyler Stuhldreier, and Naya Winkelstein in coding the student responses.This work was funded in part by a grant from Epilog Laser.References[1] R. Martin, B
ofbelonging, and therefore can contribute to persistence and retention. These supports include a)co-curricular/extracurricular involvement, b) peer support, c) faculty and departmental support,and d) residence programs [13]. National science training programs (STPs) have been implemented at universities toprovide research experiences and student mentorship for these underrepresented groups with theaim to recruit, retain, and support these students. However, these programs vary in their designand targeted major within STEM fields. Certain majors have successfully diversified as a resultof STPs while others remain homogenous. While there has been an improvement inrepresentation of women and students who are minorities in the STEM field as a
Paper ID #34793Work in Progress: Investigating the Role of Entrepreneurial-mindedLearning (EML) in Enhancing Student Learning for a Freshman Engineer-ingCourseDr. Chandana P. Tamma, Marquette University Chandana P. Tamma received her PhD in Electrical Engineering (2009) from Rensselaer Polytechnic Institute, Troy. NY. She is currently an Adjunct Assistant Professor with the Department of Electrical and Computer Engineering at Marquette University, Milwaukee. WI.Mr. Matthew Curran, Marquette University Matt Curran supports efforts related to KEEN’s Entrepreneurial Mindset at Marquette University as a KEEN Project Associate
retrieve data from a sensor. The home appliances in thephysical prototype were initially modeled using an LED since most appliances, such as a lightbulb, TV, or wall outlet, operate using on/off functionality. Other ”appliances” later added to thesystem were a three-way light bulb, as seen in Figure 2, and a TMP36 temperature sensor. (a) Top View (b) Side View Figure 2: Hardware layout of the system with the three-way light bulbUser feedback control was also added to the system to be able to offer a suggestion based on aninput such as an unregistered command in the system, adjust a component such as a thermostatbased on desired temperature readings and sensor data, and offer
Paper ID #34635Work in Progress: Interactive Introductory Online Modules on WirelessCommunications and Radio-frequency Spectrum SharingCarl B. Dietrich, Virginia Polytechnic Institute and State University A licensed Professional Engineer in Virginia, Carl Dietrich earned a BS EE degree from Texas A&M University, and MS EE and PhD EE degrees from Virginia Tech. He has taught courses in software defined radio, communications systems, electronics, and electromagnetic fields. He has also taught short courses on software defined radio since 2007, covering fundamental concepts and enabling technologies in addition to
fields," 2016: IEEE, doi: 10.1109/educon.2016.7474691. [Online]. Available: https://dx.doi.org/10.1109/educon.2016.7474691[13] M. N. Kabiri and M. Wannous, "An Experimental Evaluation of a Cloud-Based Virtual Computer Laboratory Using Openstack," 2017: IEEE, doi: 10.1109/iiai-aai.2017.94. [Online]. Available: https://dx.doi.org/10.1109/iiai-aai.2017.94[14] R. Hassan and A. A. Eman, "Cloud Computing in Computer Science and Engineering Education," San Antonio, Texas, 2012/06/10. [Online]. Available: https://peer.asee.org/21076.[15] D. Bagchi, K. Kaushik, and B. Kapoor, "Virtual labs for electronics engineering using cloud computing," 2013: IEEE, doi: 10.1109/iedec.2013.6526757. [Online]. Available: https
clarity of communications with students. Repeating this type of study in the futuremay be beneficial to see if the changes made by the faculty and the School have had a positiveeffect on student experiences. It is likely that many of the practices identified through this studywill continue to evolve as faculty and students become more skilled in remote teaching andlearning.AcknowledgmentsThe authors wish to thank our students for their insightful feedback. We are grateful for thereviewers’ careful review of this manuscript.References[1] S. Ressler, A. Estes, C. Saviz, B. Barry, C. Considine, D. Coward, N. Dennis Jr., S. Hamilton, D. Hurwitz, T. Kunberger, T. Lenox, T. Nilsson, L. Nolen, J. O'Brien Jr., R. O'Neill, D. Saftner, K. Salyards, and
Paper ID #33508Project in a Box: Self-Contained Instructional Hands-On Kits forElectrical Engineering OutreachMs. Phuong Truong, University of California, San Diego Phuong Truong is currently a fifth year PhD candidate in the Department of Mechanical and Aerospace Engineering at UC San Diego. Following her passion for research and education, she has worked closely with faculty at the Jacobs School of Engineering since 2016 to develop and improve curriculum for ex- periential learning courses. Her areas of focus include experiential learning, curriculum design, outreach program design, and engineering leadership.Nicholas
Paper ID #33827A Framework for Remote Hardware Lab Course Delivery: Rapidly Adjust-ingto 2020Mr. Matthew McConnell, Case Western Reserve University Matthew McConnell has been a hardware design engineer building networked, embedded Linux devices primarily in the industrial Test and Measurement market for the past twenty years. He earned a Bachelor of Science in Electrical Engineering and Applied Physics and a Masters of Science in Electrical, Computer, and Systems Engineering at Case Western Reserve University. He currently collaborates with the Institute for Smart, Secure, and Connected Systems (ISSACS) to further IoT
Paper ID #32639A Direct Method of Determining the Natural Frequency and DimensionlessDamping Coefficient of any Second-order CircuitDr. James A. Kearns, York College of Pennsylvania Jim Kearns is an Associate Professor of Electrical & Computer Engineering at York College of Penn- sylvania. He received a B.S. in Mechanical Engineering (SEAS) and a B.S. in Economics (Wharton) from the University of Pennsylvania in 1982. Subsequently, he received his M.E. from Carnegie-Mellon University in 1984, and his Ph.D. from the Georgia Institute of Technology in 1990, both in Mechanical Engineering. While at Georgia Tech he was the
Paper ID #33785An Introductory Course on the Design of IoT Edge Computing DevicesMr. Matthew McConnell, Case Western Reserve University Matthew McConnell has been a hardware design engineer building networked, embedded Linux devices primarily in the industrial Test and Measurement market for the past twenty years. He earned a Bachelor of Science in Electrical Engineering and Applied Physics and a Masters of Science in Electrical, Computer, and Systems Engineering at Case Western Reserve University. He currently collaborates with the Institute for Smart, Secure, and Connected Systems (ISSACS) to further IoT education and
thestudents thought simulation laboratory exercises were excellent or very good.We also compared the percentage of students who performed at the A, A-, B+, B, and B- levelswith past records (while teaching was in-person), which turned out to be comparable and similar.This indicates the effectiveness of these simulation-based labs & projects, and their contributionin helping to maintain the course standard.IntroductionIn many institutions, undergraduate courses in Feedback and Control for engineering students areusually at the junior level. Such courses provide students an introduction to concepts andmethods related to modeling, analyses, and control of a physical system. Typical topics coveredinclude Laplace transform, modeling in the frequency
article well written and easy to follow. b) The article enhanced my understanding on the topic of the course. c) I found the contents of the article relevant and applicable for my future career.The answers available to the question were with a five-point scaling from ‘Strongly disagree’ to‘Strongly agree’. The student answers on the three questions asked after each of the five quizzesare shown in Figure 1.The questions a and b were used to determine the cognitive usability of the articles, whereasquestion c was used to determine the motivation of the students regarding the particular article.The questions a and b helped determine the applicability of each article as a viable teachingmaterial according to the students. These questions would
is dropped into one specific spot, but as time passes it spreads until it isuniformly distributed throughout the water. Figure 11: Adding dye to a cup of water Another example of diffusion is the movement of gas between regions of different pressure.Imagine two sides of a tank separated by a divider. Side “A” is filled with a specific gas. Side “B” is atheoretically perfect vacuum. Once a portion of the divider is removed, the molecules on side A will tendto move towards the area of lower concentration (side B). Over a period of time, the concentrationdifference between the two sides gets smaller and smaller, and eventually both sides reach equilibrium.This process is shown in Figure 12
extra credits earned fromcompleting the modules. Therefore, the original final score is the reflection of their overallacademic performance in the course. Based on their original final score, students were assignedletter grades from A+, A, A-, B+, B, B-, C+, C, C-, D+, D, D-, to F. We use the standard cut-offsof 97 / 93 / 90 / 87 / 83 / 80 / 77 / 73 / 70 / 67 / 63 / 60 when assigning letter grades. To simplifyour analysis, students were divided into three groups based on their original final letter grade torepresent three different levels of course performance. Students who had original final lettergrades of A+, A, and A- belong to Group 1; those with original final letter grades of B+, B, andB- belong to Group 2; and the rest (with original