startup technology venture focusing on Augmented and Virtual Reality for creating immersive learning content. Hurriyet was a software engineer at Alcatel-Rovsing in Copenhagen, Denmark, developing software for American Airlines Data Network. Dr. Ok holds a D.Sc. Degree in Computer Science from the GWU, and M.S. and B.S. Degrees in Computer Science from Hacettepe University, Ankara, Turkey.Dr. Natalie B. Milman, The George Washington University Natalie B. Milman, Ph.D. is Chair of the Department of Educational Leadership and Professor of Edu- cational Technology at The George Washington University’s Graduate School of Education and Human Development. She is also a member of the interdisciplinary Human-Technology
course. Research into creating 20,21 and evaluating 22 concept maps canprovide guidance on creating one for other courses. Exam Question: A program in the (non-existent) programming language Eek, whose syntax looks a lot like C. This is a good program and it runs correctly. int a(int z, int y) { void main() { print(’a’) int w, x, y, z, t, u, v return y - z + 2 w = b(3) } x = a(w, 3) int b(int x) { y = b(x) print(’b
data-driven, or in other words, we allow themesto emerge from the data. Subsequently, we allow the research question to evolve through thecoding process. For thematic analysis, we draw on Braun and Clarke’ framework (2006) [16],which includes six phases (a) familiarizing/reading all data, (b) generating initial codes, (c)identifying initial themes, (d) reviewing and refining themes, (e) defining and naming thethemes, and (f) producing the report.Analysis and DiscussionThematic analysis of the data that captured transfer student experiences generated 17 initialcodes (548 coded text segments), from which four major themes emerged: universitycharacteristics, department academics, department support services, and student affectiveelements. Figure
design competition revealed increasedsatisfaction amongst students, faculty, and industry partners. Following this, the TRUE modelwas adopted as part of the capstone design.In the summer of 2020, only two types of capstone projects were encouraged: (a) TRUEprojects and (b) Student-initiated projects that were reviewed and approved by a facultycommittee through a proposal system. By Spring 2023 (as of the writing of this work-in-progress paper), all capstone design projects in the department of EE have been converted tofit the TRUE project model, which means all capstone projects are real-world projects withindustry/community sponsors/partnerships. While this significant shift has been driven byanecdotal experiences shared by various stakeholders
completed; and thecategories of the students’ institutions (e.g. research universities vs. teaching universities vs.community colleges).References[1] K. Baier, C. Hendricks, W. Gorden, J. E. Hendricks and L. Cochran, “College students'textbook reading, or not,” in American Reading Forum in Yearbook 31, pp. 385-402, 2011.[2] M. A. Clump, H. Bauer, and C. Bradley, “The extent to which psychology students readtextbooks: A multiple class analysis of reading across the psychology curriculum,” J. Instr.Psychol., vol. 31, no. 3, pp. 227-232, 2004.[3] T. Berry, L. Cook, N. Hill, and K. Stevens. “An exploratory analysis of textbook usage andstudy habits: Misperceptions and barriers to success,” Coll. Teach., vol. 59, no. 1, pp. 31-39,2010.[4] B. Skromme and
questions allow students to think through some in-class illustrativeproblem before lecture. Students attempt to interpret the probabilities and identify the goal. Thisway they will come to the class more prepared and better understand why the instructor chooses acertain approach in solving the problems. The review questions are also included to help studentsassess their previous learning in a timely manner. In addition, the instructor is able to review thequestion statistics before the lecture, hence to understand the common mistakes andmisunderstandings, and adjust the lecture coverage and deliverance accordingly. The preview-deliver-review cycle behind the quiz design is illustrated in Figure 4(a) with anexample given in Figures 4 (b-d). The
finally‘evaluating’ the results to document meaningful conclusions. Sample lab manual instructions anddatasheet for the analysis section of Lab Exercise # 2 are presented below.Exercise # 2 — I-V and P-V Characterization:Task II: Analysis:(a) Draw the equivalent circuit diagram for the I-V measurement under illumination and describe thecomplete measurement procedure. The circuit diagram must be hand sketched.(b) Plot the I-V and P-V curves for the solar modules and arrays using MATLAB.(c) Write a MATLAB script to compute/find the open-circuit voltage, short-circuit current, maximumpower, voltage at maximum power, current at maximum power, fill factor, and efficiency.(d) Complete Table 4.Table 4. PV parameters extracted by analysis of the experimental data
://www.analog.com/en/education/education- library/software-defined-radio-for-engineers.html [4] J. -K. Hwang, "Innovative communication design lab based on PC sound card and Matlab: a software-defined-radio OFDM modem example," In Proceedings of the 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, pp. III-761.[5] K. VonEhr, W. Neuson, and B. E. Dunne, “Software defined radio: choosing the right system for your communications course,” In Proceedings of the 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana.[6] C. J. Prust, "An introductory communication systems course with MATLAB/Simulink- based software-defined radio laboratory," In Proceedings of the 2019 ASEE Annual
mundane to students normallylike Ohm’s Law. The intention was to create videos that anyone with a minimal knowledge ofcircuits could come to and understand the content. Even more paramount was that students withno prior circuit knowledge could start watching at the beginning and learn basic DC circuitrelationships. (b) A large number of problem solutions for successSince this is a gate keeper course, to build a better background of the course, a large number ofproblems are solved for each section or new concepts. Some parts of them are solved duringclass time and the other are left in the homework and some others they are also supposed to solvethemselves.The delivery of the solutions:The problems were assigned in the beginning of a semester
released reference manuals for our hands-on activities in a GitHub repository [21]. Themanuals include specific setup and connection diagrams and detailed instructions about theprocesses involved in conducting the hands-on activities. The manuals have been released under a Figure 2: Visualized baseline setup of lab infrastructure for some hands-on activitiesCC BY-NC-SA 4.0 license. More details about the license terms can be found on the CreativeCommons website [22].A list of our hands-on activities are as follows: Activity 1. Introduce Intelligent Electronic Devices (IEDs) a. Connect to an IED b. Learn interface software c. Communicate with an IED Activity 2. Introduce Remote Terminal Units (RTUs) a
negative impact of the quizzes onthe final grades, with an average reduction of merely 1.1 points out of 100, with a standarddeviation of 2.27.Figure 1 (b) shows a distribution of difference (grade with quizzes minus grade without quizzes)in final grade comparison among individual students. The figure clearly demonstrates that aslightly negative impact was a result of a combination of some students experiencing lower scoreswith quizzes factored in while others achieved higher scores. Specifically, approximately 62% ofstudents experienced a decrease in their grades, with an average decline of 2.34 points out of 100.Conversely, the remaining 38% of students saw an improvement in their grades, with an averageincrease of 0.91 points out of 100.Figure
)References 1. Connor K, Kelly J, Scott C, Chouikha M, Newman D, Gullie K, Ndoye M, Dabipi I, Graves C, Zhang L, Osareh A, Albin S, Geddis D, Andrei P, Lacy F, Majlesein H, Eldek A, Attia J, Astatke Y, Yang S, Jiang L, Oni B, Zein-Sabatto S “Experiment Centric Pedagogy – Improving the HBCU Engineering Student Learning Experience,” ASEE Annual Conference, Salt Lake City, June 2018, USA. 2. Connor K, Scott C, Korte R, Sullivan B, Velez-Reyes M “Mini-Workshop Series for Minority Serving Institutions with ECE Programs,” ASEE Virtual Conference 2021 3. Connor K, Scott C, Chouikha M, Leigh-Mack P, Sullivan B, Kelly J, Goodnick S, Smith M, Klein M, Abraham S, Oni B, Ososanya E, Eldek A, Yang S, Erives H, Joslyn C
conversion in (b) DC-DC conversion in junior first year class. level class. Figure 2: DC-DC conversion in two courses.The lab component in Introduction to electronics course includes the design of an autonomousmoving vehicle. This design requires powering an ultrasonic sensor and a Schmitt-trigger circuit.Students have access to a Vin = 9 V battery while the sensor and Schmitt-trigger circuits operateat Vout ≈ 5 V . Design specification stipulate that the combined load has a current requirement ofIL ≈ 50 mA. Students design and implement the circuit shown in Fig. 2a. The exercise makes amention of efficiency as a performance parameter expecting the students properly identify its
two types of surveys throughout the course. The first was a recurring survey fromWeek 2 to Week 7, which asked students the same open-ended questions every week. The surveyquestions are available in Appendix B of this paper.This weekly survey instrument allowed us to regularly monitor the students’ experiences, areasof improvement, and recurring challenges faced. We collected short answer responses to thethree questions listed in Appendix B every week. Our goal was to identify all types ofexperiences that students had encountered in this course.In addition to the weekly survey, we deployed a final survey that asked students different closed-ended and open-ended questions. The types of responses to the closed-ended questions includeda 5-point
application and testbench.4. Assessment Methods and ResultsFor assessment, students were surveyed over the recent four offerings of this course to capture theirperspectives and opinions on the impact of the new components on their learning. The very first twoofferings of the revamped course were during Fall 2020 and Spring 2021, during the COVID-19pandemic, and were delivered remotely. In Spring and Fall of 2022, a more comprehensive assessmentof the impact and effectiveness of the HLS instruction was conducted. (a) (b)Figure 5: Example image processed by a student’s FPGA implementation. (a) shows the test image [11] and (b) shows the convoluted image after
Paper ID #39917Board 84: The 2TO4 Project - Facilitated Transition from 2-Year to4-Year Engineering Studies (WIP)Dr. Kenneth A Connor, Rensselaer Polytechnic Institute Kenneth Connor is an emeritus professor in the Department of Electrical, Computer, and Systems Engi- neering (ECSE) at Rensselaer Polytechnic Institute (RPI) where he taught courses on electromagnetics, electronics and instrumentation, plasma physics, electric power, and general engineering. His research in- volves plasma physics, electromagnetics, photonics, biomedical sensors, engineering education, diversity in the engineering workforce, and technology
-online-teaching 2. National Research Council. 2012. Discipline-Based Education Research: Understanding and Improving Learning in Undergraduate Science and Engineering. Washington, DC: The National Academies Press. https://doi.org/10.17226/13362. 3. Eldek A, Connor K, Gullie K, Sullivan B, Bekolay M, Spaulding D, Ndoye M, Nare O “COVID-19’s Impact on ECE Communities Served by Minority Serving Institutions.” ASEE Virtual Conference, July 2021 4. Bloom, Benjamin S (June–July 1984). "The 2 Sigma Problem: The Search for Methods of Group Instruction as Effective as One-to-One Tutoring". Educational Researcher. 13 (6): 4–16. doi:10.3102/0013189x013006004 . See
their families is correlated with increases inacademic success, as measured by retention, progression (GPA and courses completed), and 4- to6-year graduation rates, for both computer engineering and computer science students. We havedemonstrated these effects in a dually designated Hispanic-Serving Institution (HSI) and AsianAmerican and Native American Pacific Islander-Serving Institution (AANAPISI) and have doneso as a pilot study for other, including similar, institutions as well as other STEM fields.AcknowledgmentsThis work was funded in part by NSF Grant #1742607.References[1] Fernández, E., Rincón, B. E., & Hinojosa, J. K. (2021). (Re)creating family and reinforcing pedagogies of the home: How familial capital manifests for
Paper ID #37882Board 81: Electrical Engineering Faculty and Student Perceptions of aProfessional Formation Course SequenceDr. Holland Banse, Magnolia Consulting Dr. Holland Banse began her career in education as a preschool and prekindergarten teacher. Prior to join- ing Magnolia Consulting as a Senior Researcher and Evaluator, she was an IES Pre-Doctoral Fellow in Educational Psychology-Applied Developmental Sciences at the Curry School of Education and Human Development, University of Virginia, a 2016-2017 AERA Measures of Effective Teaching fellow, and a recipient of the 2016 SRCD-Student and Early Career Council
Paper ID #39379Does student performance decline in online classroom setup? A study ofstudents’ performance in ECE controls classDr. Ahmed Dallal, University of Pittsburgh Dr. Dallal is an assistant professor at the department of electrical and computer engineering, University of Pittsburgh, since August 2017. Dr. Dallal’s primary focus is on education development and innovation. His research interests include biomedical signal processing, biomedical image analysis, computer vision, machine learning, networked control systems, and human-machine learning. ©American Society for Engineering Education
developed and utilized computersimulation labs were modified and used to supplement the TIMS labs. The topics of thesimulation labs include: system property, angle modulation/demodulation, and noise analysis.With the TIMS systems, the electrical time-based signals are formed and manipulated bypatching together TIMS modules. Some modules represent fundamental signal building blocksthat are the hardware realizations of signal processing schemes or telecommunications systems.As an example of the developed TIMS labs, the first TIMS lab in Engineering CommunicationSystems was amplitude modulation/demodulation. Figure 1(a) shows the block diagram foramplitude modulation, for which Figure 1(b) shows the module connections. A DC component isadded to a
- R,G, and B values R,G, and B val- termine the number that is used to iden- ues that is used to of red skittles. tify the number of identify the number red skittles. Their of red skittles, but number of red skit- their number is not tles is similar to the similar to the true true value. value. 5Blue Skittle Students have gen- Students have gen- Students did not at- 1,2,3 erated a relation- erated a relation- tempt to use color ship between the ship between the relationships to de
made up of a collection of subparts instead. Theseconceptual-building-block subparts (subquestions) are then subsequently graded by onlyevaluating the final answer. This two-step methodology is further detailed below: Step 1 - Problem construction a. Design a traditional problem-based constructed-response problem, which tests a set of concepts within a single problem writeup. We will refer to it as a “holistic” design (to contrast it to our new design). b. Create the grading rubric for this holistic problem. Considering where one assigns partial credit will pull out the core concepts the problem is assessing. If necessary, break these down further until each carries the same weight in the grading
. Therefore, we use actual circuits to help students learnBoolean algebra and provide a concrete, hands-on approach to the abstract concepts introduced inlogic gates and Boolean algebra.At the beginning, when introducing students the concepts of AND, OR, and NOT, we usecircuits to show the associated operations in Boolean algebra as depicted in Fig. 1. (a) Y= A x B (b) Y = A + B (c) Y = A’ Fig. 1 Circuits showing three basic operations in Boolean algebra.Take Fig. 1 (a), the AND operation as an example. With the help of the circuit, students can easilyunderstand that the two switches are controlling the status of Y. When and only when both A andB are closed (status 1), the status of Y is on
havevariable input numbers such as voltage sources and resistors. Students are asked to solve forvoltage, current and/or power in circuits, and the numbers change for each question. Figure 1shows and example problem using automated assessments for this course. The quizzes arestructured this way so students can focus on mathematical modeling and evaluation processrather than getting the correct numerical results for one set of input values. Fig. 1 illustrates anexample of this quiz structure. (a) (b) (c)Figure 1: Analog circuit assessment, (a) circuit schematic with variable inputs, (b) question oneusing
. (b) A swimming snake robot with many(a) The protein molecule kinematic mechanism. degrees-of-freedom [21].Figure 2: The protein molecule kinematic mechanism consisting of peptide planes as rigid linksand alpha-Carbon atoms acting as hinges. Under the assumption of rigidity of the peptide planes,the underlying kinematics of a protein molecule backbone chain is exactly the same as hyper-redundant robotic mechanisms such as snake robots.To compute the sequence of dihedral angles from an unfolded to a folded conformation and viceversa, the kinetostatic compliance method (KCM) for modeling the protein folding/unfoldingprocess can used. The KCM framework pioneered by Kazerounian and collaborators is based onthe well-established fact that
additional support for managing administrativetasks like car rentals. Constantly managing and requesting rental reservations was a distractionduring this experience. Student industry participants should have a single point-of-contact to assistthem with administrative duties such as car rentals and travel reimbursements.References [1] L. T. Murray, “Preparing students for a successful transition from academia: An industry perspective,” in 2009 Annual Conference &Exposition, no. 10.18260/1-2–5195. Austin, Texas: ASEE Conferences, June 2009, https://peer.asee.org/5195. [2] B. P. Nepal, B. Lawrence, and E. R. S. PhD, “Partnering with industry for providing experiential learning in an undergraduate class in industrial distribution,” in
developed acomplete open-source toolchain from Verilog synthesis through bitstream flashing. The combinedresult has been a proliferation of open-source development boards and and substantial usercommunity around the iCE40.In the introductory digital lab setting, these low-cost FPGAs achieve the trifecta of tangibility,accessibility, and professional practice. In our offering of ES 4, we have used a sequence ofUPduino boards, starting with the UPduino 2.0 from Gnarly Grey (now discontinued) andcontinuing with the UPduino 2.1, 3.0, and 3.1 from TinyVision.ai.(a) UPduino 3.1 (b) WebFPGA ShastaPlus($30, TinyVision.ai) ($38, WebFPGA.io) (c) TinyFPGA BX
), interference between various antennas onaircraft and base stations (Figure 5), ribbon cable design, grounding system for data converter(Figure 6), ESD vs. PCB layout (Figure 7), and general guidelines for EMC system design. Figure 4 Biconical antenna in an anechoic chamber [3].Figure 5 Interference between various antennas on aircraft and base stations [4]. Figure 6 Grounding system design for data converter [5]. (a) Connection to Oscilloscope (b) Test board with two test paths Figure 7 ESD immunity vs. PCB layout [6].Incorporating industry best practices into the EMC curriculum provides students with greaterhands-on knowledge of recent industry and research
understanding and troubleshooting incircuits laboratories when a component with sensory output is added: a loudspeaker. Unlike adiscrete resistor, the loudspeaker produces a tone that informs the experimenter of theamplitude and frequency of the current waveform. Unlike simply attaching a speaker to theinput and output of a passive circuit, this approach uses the speaker as the impedance elementof the circuit. This can allow additional opportunities for student investigation andunderstanding.MethodsParticipant selection: Participants were enrolled in two universities, A and B: both small, private,midwestern universities with student bodies below 5,000 with predominantly white and maleengineering enrollment and class sizes below 30. The experiment