2000. She received her M.S. in Electrical Engineering and Ph.D. (2007) in Computer Engineering from the Illinois Institute of Technology, Chicago, IL. Dr. Dave’s research interests lie in the field of High Speed Computer Arithmetic and Computer Architec- ture. Her research has been focused on the design high-speed multi-operand adders. In addition, she is also interested in performing research in VLSI implementation of signal processing algorithms, and low power integrated circuit design. Her teaching interests include Digital Logic Design, Computer Architecture, Computer Arithmetic, VLSI Design. c American Society for Engineering Education, 2017 Reflection and Metacognition
from a multi-year project that is initiatingtechnology supported experimental centric approaches to learning in electrical and computerengineering courses at 13 historically Black colleges and universities (HBCUs). One of the personalinstrumentation tools supporting experimental student-centered learning at these institutions is theAnalog Discovery Boards (ADBs). The content or setting of use reflects introductory, circuits, andsupporting electrical and computer engineering courses. The students consisted of undergraduatesenrolled in engineering courses across the 13 member institutions. The authors provide an overviewof learning theories that support experiential learning, followed by brief overviews of selectedvalidated instructional modules
Security.” He is a recent recipient of the NSF CAREER award (2012), as well as the ISU award for Early Achievement in Teaching (2012) and the ECpE department’s Warren B. Boast undergraduate teaching award (2009, 2011, 2016).Dr. Mani Mina, Iowa State University Mani Mina is with the department of Industrial Design and Electrical and Computer Engineering at Iowa State University. He has been working on better understanding of students’ learning and aspects of tech- nological and engineering philosophy and literacy. In particular how such literacy and competency are reflected in curricular and student activities. His interests also include Design and Engineering, the human side of engineering, new ways of teaching
capstone design project reports. However,the difference here is to have a structure to provide multiple formative feedbacks from theinstructor, the peers, and the student writing fellow (trained by the writing center) to helpstudents reflect on their weaknesses in writing through multiple interactions and assessment overa period of a semester. Furthermore, this vigorous writing-to-learn process is repeated in twosubsequent courses to ensure students proficiency in the process. In this format, the benefits ofusing writing-to-learn methodology have been expressed in many ways in the literature, such asimproved student writing, increased student learning and engagement, student-facultyinteraction, collaborative learning, and critical thinking to name
chosenafter extensively investigating and inquiring opinions from working signal integrity engineers. Thetextbook “Signal and Power Integrity - Simplified (2nd Edition)” is one of the most used byindustry, with very high rating by technical readers.EE 497A INTRODUCTION TO SIGNAL INTEGRITY FOR INTERCONNECTS (4) Catalog Data: Transmission lines and reflections, lossy lines, rise time, material properties, cross talk in transmission lines. Time and frequency domain measurements, jitter. Prerequisite: E E 330, E E 352. (Note 3 hour lecture and 3 hour lab per week) Eric Bogatin, Signal and Power Integrity - Simplified (2nd Edition), Textbook Prentice Hall, 2009
signal of Vsource3Fig.2a Circuit to simulate Noise Signal.Circuits to simulate the noise signal, which could be tested and also added to desired signals todemonstrate effects of it on the circuit operation and on the signal distortions were modeled.Time-domain signal, signal distortions are studied. Fig.2b The pulses generated by adding different noise signal to the pulsesFig.3 The circuits used to demonstrate the pulse reflections in transmission lines. Upper circuit isused to simulate and ideal case when the source and load resistances are matched to thecharacteristic impedance of the transmission line. The lower circuit has both resistancesunmatched to the characteristic impedance of the transmission line. The harmonic signalcomponents
Rensselaer. c American Society for Engineering Education, 2017AbstractThis paper presents new and extended research on the impact of integrated hand-held mobiletechnology used in support of experiment centric learning within flipped engineering classrooms.The settings reflect courses serving two levels of students and content (1st year students takingtheir first engineering course and 2nd – 4th year STEM majors from outside of ECE) who arelearning circuit content. The key support for hand-held learning was the Analog DiscoveryBoard (ADB); the major characteristics of the flipped classroom pedagogy were instructorprepared videos and reading materials used by students outside the classroom and classroomactivities to
validation offered by this paper. The topics are: 1. How the time and the way coaches helped the teams reflects the team’s design outcome? 2. How much team members helped each other? From the pictures, it was clear that teams were asking each other for help during the challenge. How much the other team members helped and how much it helped, would be good questions for this kind of a study 3. How did the code written by the participants evolved during the different stages of the challenge and can this be reflected to measure what the participants learned during the challenge?References[1] R. Terry and J. Harb, “Kolb, Bloom, Creativity, and Engineering Design,” ASEE Annu. Conf. Proc., vol. 2
engineering and physics courses. Likewise,coaxial cables are ubiquitous in today’s world and this experiment can illuminate studentunderstanding of this important technology and its limitations.AcknowledgementsThe views expressed in this article are those of the authors and do not reflect the official policyor position of the United States Military Academy, the Department of the Army, or theDepartment of Defense or U.S. Government.References[1] Simoni, M., Fayyaz, F., & Streveler, R. A. Data Mining to Help Determine Sources ofDifficulty in an Introductory Continuous-Time Signals and Systems Course. AmericanSociety for Engineering Education conference and exposition. Indianapolis, IN, 2014.[2] Fawwaz T. Ulaby, Fundamentals of Applied
ofliterature by exploring the duality of collaboration and competition in particular. While there aremany allusions to learning via collaboration and competition in the literature — with a generalsense that both may be desirable in different contexts — there are very few studies which attemptto compare them directly, especially in the field of electrical engineering education. This work funded in part by The Office of Naval Research, Award Number N000141512442-P0001. The viewsexpressed in this paper are those of the authors, and do not reflect the official policy or position of the United StatesAir Force, Department of Defense, or the U.S. Government. This document has been approved for public release;distribution unlimited.For years, student
, biotechnology, micro/nano fab- rication and computer modeling. c American Society for Engineering Education, 2017 Robotic Outreach to Attract Primary and Secondary Students to EngineeringAbstractGraduate students and faculty at Auburn University’s Department of ECE developed an automatedNerfTM launcher for STEM outreach. This robot was created by the authors as a final designproject for a robotics course. The robot detects a reflective target using infrared light and tosses aNerfTM ball at the target. The robot was initially demonstrated to a Title 1 middle school roboticsgroup working on a competition robot at the university. This opportunity allowed for a preliminaryoutreach event
developed between the studentand their faculty advisor.Teaching is at the center of all activities at Seattle University. All faculty members care abouttheir students and make sure that students in their classes receive personal attention and are givenall what is needed to be successful. We pride ourselves in creating a challenging but supportivelearning environment. Long office hours or even an “open-door policy” are the standard in ourdepartment. All faculty members take students’ end-of-quarter feedback about their classes veryseriously. Everybody reflects on what they can do better when they teach the course again. Wediscuss course outcomes in our faculty meetings and adjust them if they do not reflect the needsof our constituents.Most of our
simulations on theirown, whenever and wherever they wanted to do these. The students did like the portability ofthe myDAQ unit and were initially surprised by the number of features available in such a smallunit. A few students used the myDAQs to perform measurements in other courses. However,students’ comments for question 11 reflected the many issues that arose during the semester withthe myDAQs. Students felt that the NI myDAQ package was expensive (~$200), the softwarewas hard to install, the myDAQ was “buggy” and the measurement software crashed at times,and the myDAQ measurements were not always as reliable as the measurements performed withthe lab equipment. In the responses to question 12, a few students commented that they were ableto learn
conceptualgains on a concept inventory, but made smaller gains on final exam problem solving questions,compared to a traditional classroom.Overall, we see the collaborative quizzes as a well-aligned assessment tool for the active learningclassroom. This approach fostered improved co-regulation skills, and students who started withthe lowest levels of conceptual knowledge had similar course outcomes to those who began withhigher scores.In reflecting on our observations of the course, we also feel the collaborative quizzes were well-received. The majority of students participated fully and were engaged with the materials. It wasnot uncommon to hear students in extended discussions, particularly about the latter questions inthe quizzes, which tended to
(3) including both Google Docs and interactive videos in the third. End-of-Course Surveys consistently show that the students enjoyed the weekly hands-on labs. After thethird class offering, an additional survey of student experience with the new technologies wasconducted. The results reflected a positive student experience with the course delivery.EE110 Course Description and ObjectivesIntroduction to Engineering, EE110 provides the beginning engineer with fundamentalknowledge and skills associated with the electrical or computer engineering professions. It willintroduce common electronic components, basic circuit configurations, and laboratoryinstruments. Bench practices and lab reports will be introduced along with computer aidedanalysis
YouTube videos followed by with quizquestions in the first offering; (2) adding Google Docs (or Google Forms) with embeddedYouTube Videos and quizzes in the next class session; and (3) including both Google Docs andinteractive videos in the third. End-of-Course Surveys consistently show that the studentsenjoyed the weekly hands-on labs. After the third class offering, an additional survey of studentexperience with the new technologies was conducted. The results reflected a positive studentexperience with the course delivery.During the third offering (2016 Fall Quarter), a survey was conducted with five students fromEE110 and four students from an Advanced Circuit Analysis course (EE 341) to assess theteaching effectiveness thus far. This
. This is not entirely borne out by otherassessment results. As mentioned above, project completion rates are very high. However, thequality of the final programs varies considerably, though it is difficult to judge consistently. Webelieve that this variation in quality reflects variation in student understanding of programmingand problem solving and would indicate that students may be overly optimistic about theirabilities. Quiz results provide another possible point of comparison. We have collected quizresults for questions related to problem solving but have not yet completed a numerical analysisthat would provide a comparison with student self-assessment. Our first impression is thatstudents are overestimating their abilities. There appears
perceive learning. The students’ likelihood to employ the tutorials forfuture projects very strongly correlated to the usefulness of the tutorials for the exercises, as well.Where the tutorials apply to exercises, the students seem to believe that they would also beapplicable to other practical tasks. This very strong correlation suggests that exercises may berecognized as being practical and realistic if the tutorials’ applicability to them extends beyondthe classroom. If this were the case, then it will be important to ensure that exercises foradditional tutorials reflect real scenarios in radio engineering. One motivational aspect withinExpectancy-Value Theory is the idea of utility value, which serves to motivate learners to engagein learning
, the voltage across the resistor R2 is calculated as: (100𝐾) ∗ (5𝑉) 𝑉2 = = 4.16 𝑉 120𝐾The measured value was 4.088 V, which is about 1.7 percent deviation from the calculated value.The students were asked to reflect on the differences between the measured voltage and thecalculated one, and to give reasons for the discrepancy between the measured and calculatedvoltage. The measurements made by the students allowed them to have a deeper understandingof the Voltage divider rule. (a) (b)Figure 4: (a) Resistive Circuit (b) Voltmeter Readings of the
level of agreement onwhether the session changed their perception of ECE, and the corresponding responses areshown in Figure 1.d. It can be observed that 80 percent of the respondents indicated a change inperception, while 20 percent didn’t. Of the two respondents who stated that the IoT sessiondidn’t change their perception of ECE, one was a student who maintained an interest in ECEafter the session. Responses to survey questions #5 and #6 are shown in Figures 1.e and 1.f, and they reflect theimpact of the IoT session on the respondents’ enhanced interest of ECE, and their motivation tostrongly consider it as a choice of engineering discipline. It can be observed that 80 percent ofthe respondents indicated an enhanced interest in ECE, and 60
/InstrumentationAs part of project work, members of the leadership team selected two discipline related topics,Voltage Division and Thevenin’s Theorem, as circuit content found in at least one, if notmultiple courses, within each of the 13 collaborating institutions. The students consisted ofundergraduates enrolled in engineering courses; the unique audience represents students enrolledin HBCU colleges. The content or setting of use reflected “Introduction to ElectricalEngineering” (second semester freshmen level course), and other early electrical engineeringcourses. The selection of the two topics was made using the following process. A series ofquestions used in introductory level ECE courses was presented to representatives from all 13institutions at
of small size. Results show that astatistically significant improvement was observed in the first course of the two-coursesequence when the Diagnostic and Post-Diagnostic evaluation results were compared.Analysis of the final exam results for one course for Year 2 and Year 3 shows that there isstatistically significant improvement in performance. This change is attributed to the improvedteaching methodology presented in this paper. The views expressed in this document are those of the authorsand do not reflect the official policy or position of the UnitedStates Air Force, Department of Defense, or the U.S. Government. 2IntroductionFor the United
loved the studio style setup. It helped me learn the material a lot easier than my friends in other classes. The labs we had were reflective of the material and had a point to them, while my friends in other style setups had pointless labs and didn't understand the material as well as I did. 11/10 would take this style of class again.” “The studio class was effective because immediately after we had lecture we would apply it in lab. Also, if lectures ever ended early, we would have more lab time and vice versa. I would want to take another studio EE class again.”Figure 3 reports average comments about retention. Students were posed the same statement intwo different ways to remove the potential bias from
through a flipped classroom approach. This result is seeminglycounterintuitive, especially given that the first-year faculty member had no prior exposure toflipped classroom model. Below we suggest a few possible explanations that could explain ourresults.In the faculty member’s reflection of the flipped classroom experience, it was noted that thispedagogical model more resembled that of a lab similar to one where a first year faculty memberhas just emerged from a multi-year research project. In many research labs it is common forsenior students to mentor and train the junior lab members. In that sense, working with smallergroups during instruction time did not seem foreign to the faculty member and put both thefaculty and students more at
and can be easily incorporated into an existing curriculum.7. Acknowledgments This material is based upon work supported by the National Science Foundation under GrantNo. 504030. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author and do not necessarily reflect the views of the National ScienceFoundation. Photos in Figures 3 and 6 are courtesy of Adafruit.com.Bibliography[1]. S. A. Ambrose et al., How Learning Works: Seven Research-Based Principles for Smart Teaching. Jossey-Bass, 2010.[2]. C. J. Atman, et al., Enabling Engineering Student Success: The Final Report for the Center for the Advancement of Engineering Education, 2010.[3]. S. Sheppard, et al