in non-ECE studentsmatriculating into ECE. In the fall 2014 semester new ECE led freshman orientation sectionswere created that would utilize many innovative practices. These new sections would use therobotics competition at the 2015 ASEE Annual Conference to set the curriculum and providemotivation for the students to learn. Each section was challenged at the beginning of thesemester with creating a robot that could compete in the ASEE Robot Competition and duringthe course of the semester background knowledge needed to complete the project was providedin hands-on focused lab exercises. This paper describes the curriculum of this course, learningobjectives, and how a mentoring structure was established with ECE robotics-based
that was offered to 8 students duringthe spring quarter of 2016. The demand for the course was actually much higher but the authorsdetermined that limiting the enrollment for the pilot course was appropriate. The students werefrom 4 different majors: computer engineering, electrical engineering, computer science, andmathematics. The students were also at various academic levels: sophomore, junior, and senior.The strategy for teaching this course was to base the course upon a single IoT project. Whilestudents focused on the project, the faculty focused primarily on managing student learning. Thecourse followed a student-learning curriculum framework rather than the more common course-content curriculum framework. A just-in-time strategy was
Engineering Education, 2023 1 Connecting Classroom Curriculum to Local Contexts to Enhance Engineering Awareness in Elementary YouthProject OverviewThis paper reports on the year three findings of a National Science Foundation Research in theFormation of Engineers project focused on increasing rural and indigenous youth’s awareness ofengineering and engineering related careers. To reach this goal, we worked with elementaryteachers to connect the engineering activities taught in the classroom with local funds ofknowledge and local engineering opportunities (Hammack et al., 2022; Hammack et al., 2021).Each of the four participating
, Satisfaction (ARCS) model of motivation to design an Internet-of-Thingsthemed curriculum for CS students in grades 9-12. The ARCS framework is used as aconceptual framework to unpack high school students’ motivational influences inengineering/computer science project-based learning via a series of focus groups. Using theinsights obtained from First and Second cycle coding based qualitative analysis, IoT-basedCS curricular modules that align with Grades 9-12 Computer Science Teachers Association(CSTA) standards were developed. The curricular design centered around creating learner-focused scaffolding in project-based learning environments, improving the relevance of theclassroom content with the real-world context that students have experiences in or
: • RQ1: What are the curriculum complexity and study abroad participation rates for the largest majors at Purdue University? • RQ2: What is the correlation between curriculum complexity and study abroad participation at Purdue University? • RQ3: Is there a significant difference in curricular complexity or study abroad participation across colleges at Purdue University?Our project can provide insights to engineering programs seeking to improve study abroadparticipation about the challenges that may arise from curricular complexity and what strategiesmay help address this issue. Background In this section we will first describe perceptions of how challenging it is to study
developer can select a processor that best fits hisapplication without paying overhead or sacrificing performance. After building his own versionof the configurable processor, the developer adds the hardware components of his design asperipheral devices surrounding the processor but on the same chip. The software part of thedesign runs on the processor itself. This important design concept can be easily introduced at theundergraduate level by using the teaching plan described in this paper.There is a continuous expansion of the scope of electrical and computer engineering in thetechnology-oriented world. This requires the curriculum committees to look at a more efficientand effective means of covering these topics within a four-year undergraduate
AC 2007-1495: EFFECTS OF THE TEAM-BASED APPROACH ON INDIVIDUALLEARNINGJason Pitts, Oklahoma State UniversityPatrick Teague, Oklahoma State UniversityAlan Cheville, Oklahoma State UniversityCharles Bunting, Oklahoma State UniversitySohum Sohoni, Oklahoma State University Page 12.588.1© American Society for Engineering Education, 2007 Effects of the Team-Based Approach on Individual Learning1.IntroductionThis study is a part of the ES21C project at Oklahoma State University. The goal of ES21C is toprepare OSU electrical engineering students to meet the challenges of engineering in the 21stcentury. The proposal for the ES21C project gives the following summary
after they join theworkforce. A substantial portion of the classroom projects in engineering technologycurriculum that require the use of advanced software tools has been increased in manyhigher institutions for both undergraduate and graduate levels.Emerging virtual applications may enhance understanding both theoretical and appliedexperiences of engineering technology students by supporting laboratory experiments.AMESim, SolidWorks, ProE, MultiSim and LabViewTM are some of the well knownsystem modeling, simulation and monitoring software tools that offer solutions to manyproblems in mechanical, thermal, hydraulics, pneumatics, electrical, electronics,controls, instrumentation and data acquisition areas. These virtual tools also help toimprove
. Dodds, A. Howard, S. Tejada, and J. Weinberg, pp. 35-41. Technical Report SS-04-01. Menlo Park, CA: AAAI Press, (2004). 2. S. Coradeschi and J. Malec “How to make a challenging AI course enjoyable using the RoboCup soccer simulation system, in RoboCup-98: Robot soccer world cup II: Lecture notes in artificial intelligence, vol. 1604, pp.120-124, ed. M. Asada and H. Kitano. Berlin: Springer, (1999). 3. M. Goldweber, et al. “The use of robots in the undergraduate curriculum: Experience reports,” Panel at 32nd SIGCSE Technical Symposium on Computer Science Education, Charlotte, North Carolina.. 4. F. Klassner, “Robotics as a Unifying Theme for Computing Curriculum 2001”, National Science Foundation
Paper ID #39511Board 91: Work-in-Progress: A Systematic Gap Analysis of the AustralianPower Engineering CurriculumMiss Nisaka Munasinghe, University of New South Wales Nisaka Munasinghe is an enthusiastic undergraduate student at the University of New South Wales. She will be graduating with a Bachelor of Electrical Engineering (Hons), 2023, with her thesis project present- ing research for improvements to the Australian Power Engineering Curriculum. Since 2020, she has been working in construction as a cadet engineer with Sydney Trains, helping deliver and commission railway signalling projects for the NSW transport
Paper ID #15101A Survey of the State of the Power Engineering Profession in the PacificNorthwest and what Working Professionals are Defining as Priorities for Prepar-ing Students to Fill Present and Near-Future VacanciesProf. Donald M. Peter P.E., Seattle Pacific University Don has taught electrical engineering at Seattle Pacific University since 1987, specializing in analog and power electronics, Before that he worked as a design/evaluation/diagnostics engineer at Tektronx, Inc. for eleven years. He has been involved in various consulting projects, including two summers as a NASA Summer Faculty Fellow at the Jet Propulsion
2009 survey by Thornton et al. 1 , and the 2018 followup by Enrique etal. 2 , employers that hire Materials Science and Engineering (MSE) students value computationalmaterials science education and desire 50% of their hires to have a computational MSEbackground . Additionally, they believe MSE graduates should at least be aware of whatsimulations used in their field and what is computationally feasible 2 . They also highlighted a gapbetween industry and what is taught in class - while students are typically taught molecular andatomic-scale simulations in class, employers are more interested in macroscopic, continuummodels 1 .As a result of these surveys, faculty started an initiative project to address the shortcomings in ourMSE curriculum
. In Proc. ofSIGSCE, 1998.[23] D. Delaney and G. G. Mitchell. PBL applied to software engineering group projects. In Proc. ofInternational Conference on Information and Communication in Education, 2002.[24] J. C. Perrenet, P. Bouhuijs and J. Smits. The suitability of problem-based learning for engineeringeducation: theory and practice. In Teaching in Higher Education, Vol. 5, No. 3, 2000.[25] D. E. Knuth. Computer programming as an art. Communication of the ACM, Vol 17, Number 12, Page 15.983.11December 1974.[26] A. Ellis et al. Resources, tools, and techniques for problem based learning in computing. In AnnualJoint Conference
course have already taken the microcontrollers course, which is oneof the core courses in the curriculum. At this point, students have basic knowledge on the use ofmicrocontrollers but they do not have the required skills to create an embedded controller. Due to Page 26.66.3this, one of the objectives of this work was to develop a set of workshops to teach thefundamentals of an embedded control system regardless whether the students had a solidbackground in microcontrollers or not. These workshops support the Digital Control Systemscourse project and were taught alongside the class lectures.Methodology:Streveler, et al, present an approach
elements of ethics and requires each studentwrite an essay on a global issue, but these are again done at the conclusion of the course and littleintegration of extrinsic requirements during the design experience.The capstone design course is EGR 4380, Engineering Design II. This course is taken in the lastsemester of the senior year. It is an interdisciplinary course with electrical and mechanicalmajors organized into team of typically 15-18 students. The project is usually generated fromlocal industry requests. This past semester the project was to design a computer controlledexercise system. The project intentionally stepped outside the normal course boundary byincluding an artist on the design team. The artist was tasked with influencing the
Psychology from Calvin College, and a PhD in Educational Psychology from the University of Illinois, Urbana-Champaign.Dr. Gail Baura, Loyola University Chicago Dr. Gail Baura is a Professor and Director of Engineering Science at Loyola University Chicago. While creating the curriculum for this new program, she embedded multi-semester projects to increase student engagement and performance. Previously, she was a Professor of Medical Devices at Keck Graduate In- stitute of Applied Life Sciences, which is one of the Claremont Colleges. She received her BS Electrical Engineering degree from Loyola Marymount University, her MS Electrical Engineering and MS Biomed- ical Engineering degrees from Drexel University, and her PhD
, comments from our Alumni Advisory Board thatengineers lack facility with the massive amounts of data now being collected in industry, and apractical need to refresh our lab course offerings – and leveraging our faculty’s expertise in thearea – the undergraduate curriculum at Carnegie Mellon University has undergone numerouschanges to increase the focus both on sensing and on computational science. Sensing forms abackbone for our design course sequence: It has been incorporated into a project in our third-yeardesign course since 2015 and our second-year design course since 2021. In 2018, ourUndergraduate Program Committee defined key learning objectives for sensing andrecommended that lab courses focus on sensing and instrumentation. These changes
curriculum, traditionally one of the most rigorous andfrequently overwhelming periods for mechanical engineering students. Stay tuned for moredevelopments!References: 1. Abrams, Lisa, James William Aultschuld, Blaine W. Lilly, Daniel A. Mendelsohn “Introduction to Mechanical Engineering: A Course in Progress”, 2012 ASEE Annual Conference, AC 2012-5238. 2. Clayton, Garrett, et al. "Introduction to Mechanical Engineering - A Hands-On Approach." 2010 Annual ASEE Conference. 2010. AC 2010-1048. 3. Vaughan, Joshua, et al. "Using mechatronics to teach mechanical design and technical communication." Mechatronics (2008): 179-186. 4. Hargrove, Jeffrey B. "Curriculum, equipment and student project outcomes for mechatronics
they would use to formschemas. The instructions for creating videos asked students to use multiple representations withthe intention they schema they developed would be more robust. The remainder of the paperdiscusses how the video project was structured over two semester, and reports on the evaluationof the videos.Course and Video Assignment StructureThe student produced videos were integrated into a required third year course inelectromagnetics (EM) offered in an electrical and computer engineering department at a private,non-profit liberal arts university in the northeastern United States. At Bucknell University thenumber of electrical and computer engineers in a given class year is limited to 35. Thus classestend to be small, around 15-20
. An outline of how the Dopplermodule is being used in the spring 2010 offering of an advanced analog electronics course isprovided and finally a few remarks are made as to how the work will be carried forward in futureofferings. Page 15.399.4Modification of Lecture Content For Fall 2009The implementation of a radar project into an undergraduate course has been described byothers. Specifically, Jensen et al.3 had students design a standard microstrip divider and a patchantenna array and used these components to realize a Doppler radar. They found that typically,students “are enthused about their useful system,” and go on to state that, “these
of the future.References [1] Kereluik, Kristen, et al. "What knowledge is of most worth: Teacher knowledge for 21stcentury learning." Journal of digital learning in teacher education 29.4 (2013): 127-140.[2] Linder, G. Fletcher, et al. "Teaching Ethical Reasoning: Program Design and InitialOutcomes of Ethical Reasoning in Action, a University-wide Ethical ReasoningProgram." Teaching Ethics (2020).[3] Loucks-Horsley, Susan, et al. Designing professional development for teachers of scienceand mathematics. Corwin press, 2009.[4] Tang, Xiaofeng; Catchmark, Jeffrey M.; Mendieta, Eduardo; Litzinger, Thomas A., InfusingEthics across the Curriculum in Biological Engineering: Background, Process, and InitialResults, Advances in Engineering Education
. This project introduces hands-on, biomedically-relatedexperiments and course materials into the engineering curriculum, with a focus on artificial organs. Sev-eral modules are being developed and integrated throughout Rowan’s engineering curriculum, into themultidisciplinary freshman engineering course, core engineering courses, and senior electives. The mod-ules will be highly transferrable to other traditional engineering programs such as chemical, mechanicaland electrical as well as biomedical engineering programs. Our evaluation plan will examine specificlearning outcomes in core engineering areas as well as effect on retention, student attitudes, and careerchoices.INTRODUCTION The relatively new discipline of biomedical engineering
. It is interesting to note that only after it was established in mechanical engineering wasit ultimately adopted by electrical engineers; they subsequently applied it to an "ideal gas" of freecharge carriers in semiconductors. As a result, mechanical engineers are convinced by theinstructor to have a better understanding of this concept as it is inherently a mechanical entity.With this encouraging introduction we can now present the classical Boltzmann distributionfollowing the kinetic theory: the number of particles per unit volume having kinetic thermalenergy greater than or equal to ET ~ m T / 2 at temperature T and at any location x is given by E p ( x) p 0 exp T
East China University of Science and Technology. His interestsinclude robust control, uncertain systems, process control, and production scheduling. DUANE D. DUNLAP is a Professor and the Head of the Department of Engineering and Technology at WesternCarolina University, Cullowhee, North Carolina, USA. KEN BURBANK is an Associate Professor and Director of Electrical and Computer Engineering Technologyat Western Carolina University. Dr. Burbank is active with IEEE, SME, and TAC of ABET, and strives to bringpractical engineering activities into the classroom. His current project is the development of a photonics programwithin the Electrical Engineering curriculum. XINGSHENG GU received his Ph.D. from East China University of Science and
the data and survey the students. We would like to investigate whether students were morelikely to see the relevance of chemistry knowledge in their engineering work after completingthe individual projects in addition to the design challenge.More broadly, we will continue to study the impacts of redesigning course elements, both in thiscourse and in others, as our College continues its initiative to incorporate design and computingacross the curriculum.References[1] K. Goodman and S. T. Frezza, “Finding Möjligheter: Creativity and ill-structured problems,” presented at the ASEE Annual Conference and Exposition, Columbus, OH, Jun. 2017, doi: 10.18260/1-2--28358.[2] M. Somerville et al., “The Olin curriculum: thinking toward the future
redesign implementationgrant. In this paper, we describe results from our initial assessment activities and plansfor the coming years. We also describe the process by which we are redesigning our corecurriculum, including the design of a theme-based introductory course that introducesfundamental concepts of ECE through coursework and a real-world design project andlaboratory experience. The structure of the new core and theme-based structure will alsobe presented. [This work was supported by NSF EEC-0431812]. IntroductionThe Department of Electrical and Computer Engineering (ECE) in the Pratt School ofEngineering at Duke University is committed to a significant redesign of theundergraduate curriculum. To
, Polasek went on to pursue his next degree at Michigan State Uni- versity (MSU). Polasek received his B.S. degree in civil engineering from MSU in 1972 and was hired at MDOT. Over the years, he has worked in the Design Division, as a Staff Engineer for the Local Gov- ernment Division, as the Kalamazoo District Design Engineer and Project Development Engineer, and as Region System Manager. In June 2003, Polasek was appointed Director of the Bureau of Highway Devel- opment, which oversees road and bridge design, including quality assurances and specialty areas such as electrical, hydraulic, and municipal utilities. The bureau is also responsible for administration of federal aid to local agencies and has statewide
Paper ID #29655Outcomes-Based Assessment Instrument for Engineering Problem-SolvingSkillsMiss Bahar Memarian, University of Toronto Bahar Memarian is a PhD candidate in Industrial Engineering and the Collaborative Specialization in Engineering Education at University of Toronto, Canada. Her primary research interests are in Human Factors and Systems Engineering, specifically their application in Education (e.g. learning outcomes assessment, engineering problem solving). Before that, she completed her MASc. (2015) and BASc. (2012) in Electrical Engineering from University of Toronto.Dr. Susan McCahan, University of Toronto
/society/article/2018061919711. Accessed July 10, 2019.Lee, Huiyong, Seo Mingyu, and Kim Jaedeuk. (2015). A study on the strategies to vitalize the fusion between humanities/social sciences and arts vitalization at the university level in South Korea. Munhak Kwa Eoneo Hakhoi 25-41.Lee Yedana & Son Seung-hyun. (2019). Exploring Knowledge Convergence through Project- Based Learning integrated Curriculum in University Liberal Arts Education. Journal of Education & Culture 25(1): 155-177.Ko, Sangwon and Kang Hayeon. (2014). 2013 Modularization of Korea’s Development Experience: ICT Human Resources Development Policy. Korea Development Institute (KDI).KEA (Korean Electronics Association). (2010
).2. S. Coradeschi and J. Malec “How to make a challenging AI course enjoyable using the RoboCup soccer simulation system, in RoboCup-98: Robot soccer world cup II: Lecture notes in artificial intelligence, vol. 1604, pp.120-124, ed. M. Asada and H. Kitano. Berlin: Springer, (1999).3. M. Goldweber, et al. “The use of robots in the undergraduate curriculum: Experience reports,” Panel at 32nd SIGCSE Technical Symposium on Computer Science Education, Charlotte, North Carolina..4. G. Droge, B. Ferri, and O. Chiu, “Distributed Laboratories: Control System Experiments with LabVIEW and the LEGO NXT Platform,” submitted to the ASEE Annual Conference and Exposition, San Antonio, (June 2012).5. F. Klassner, K. Lehmer, J.C. Peyton Jones