1. Alsodiscussed is the pedagogical background required for designing realistic engineering problems.Finally, an example project for sophomore-level electrical and computer engineers is explained indetail, with the author’s own experiences in assigning this project explored. The project is anopen-ended problem with multiple solution options. Students have scaffold-ed experiences withinthe course to guide them towards several possible techniques. Students follow a fullproblem-solving structure through defining their problem, exploring options, planning a method,implementing said method, and then reflecting upon the success of their design.IntroductionThe first of the seven ABET outcomes is stated as “an ability to identify, formulate, and
Paper ID #39400Board 1: WIP: Biophilic Design and Its Effects on Mental and PhysicalHealthAlexandria S. Lahman, Western Kentucky University Alexandria is an undergraduate student at Western Kentucky University studying Architectural Sciences. She is passionate about how architecture can impact one’s experience and hopes to improve mental and physical health by creating healthier architecture.Ms. Shahnaz J. Aly, Western Kentucky University Shahnaz Aly, OAA, LEED AP, M. Arch, is a licensed Architect in India and Canada and Associate Professor in the School of Engineering and Applied Sciences at Western Kentucky University. She
Paper ID #36566ME Fundamentals 1 and 2: a new course sequence for first-year mechanicalengineeringDr. Sally J. Pardue, Tennessee Technological University Sally Pardue, Ph.D., is an associate professor of mechanical engineering at Tennessee Tech University, and former director (2009 - 2018) of the Oakley Center for Excellence in the Teaching of Science, Technology, Engineering, and Mathematics.Dr. Byron A Pardue, Tennessee Technological UniversityMrs. Taylor Chesson, Tennessee Technological University Taylor Chesson is an Online Instructional Design Specialist in the Center for Innovation in Teaching and Learning at
Paper ID #36916Board 378: Responsive Support Structures for Marginalized Students inEngineering: Insights from Years 1–3Dr. Walter C. Lee, Virginia Tech Dr. Walter Lee is an Associate Professor in the Department of Engineering Education at Virginia Tech and the Director for Research in the Center for the Enhancement of Engineering Diversity (or CEED). He is broadly interested in inclusion, diversity, and educational equity—particularly as it relates to students from groups that are historically underrepresented or marginalized in engineering. Lee received his Ph.D. in engineering education from Virginia Tech; his M.S. in
Paper ID #37377WIP: Replication of a 1/5th-Scale Autonomous Vehicle to FacilitateCurriculum Improvement in Cyber EngineeringDr. Wookwon Lee, Gannon University Wookwon Lee, P.E. received the B.S. degree in electronic engineering from Inha University, Korea, in 1985, and the M.S. and D.Sc. degrees in electrical engineering from the George Washington University, Washington, DC, in 1992 and 1995, respectively. He is currently a full professor in the Department of Electrical and Cyber Engineering at Gannon University, Erie, PA. Prior to joining Gannon in 2007, he had been involved in various research and development projects in
, influences their academic performance and persistence in STEM education andcareers [1]–[14]. Literature also indicates that peer-mentoring is particularly beneficial forhelping Hispanic/LatinX/XicanX students develop a sense of belonging [15]–[19], sinceHispanics/LatinXs/XicanXs occupy only 5% of faculty positions across the country [20].Moreover, formal mentoring programs effectively and positively impact student satisfactionwithin their program, academic performance, motivation to persist in a program, and completionof degree [21]–[25].Therefore, with funding from a National Science Foundation grant, we developed a holistic,socio-culturally responsive peer-mentoring program that provided an academic, institutional, andsocial support system for
Paper ID #37329Board 394: Sustaining and Scaling the Impact of the MIDFIELD project atthe American Society for Engineering Education (Year 1)Dr. Susan M Lord, University of San Diego Susan Lord is Professor and Chair of Integrated Engineering at the University of San Diego. She received a BS from Cornell University in Materials Science and Electrical Engineering (EE) and MS and PhD in EE from Stanford University. Her research focuses on the study and promotion of equity in engineering including student pathways and inclusive teaching. She has won best paper awards from the Journal of Engineering Education, IEEE Transactions
; project-based learning.Introduction We examine here the short-term impact of a hands-on, project-based intensive summerexperience for undergraduate students. Motivated by prior research showing that creativity isdriven largely by specific curiosity (1) and that positive project outcomes are correlated with thesense of ownership (2), we proposed and delivered a 10-week intensive (40 hours/week) summerprogram to undergraduate students majoring in STEAM. We recruited from a diverse pool ofapplicants (64 undergraduate applicants from 14 different majors). The selected cohort included10 undergraduates, 3 high school students, and one graduate assistant. The diversity in majors(Biology, Computer Science, Bioengineering, Game design, Psychology
Identification based on Vibration Signals using Machine Learning Nektaria Tryfona1, Daniel Newman2, Taimoor Qamar1, Ayush Dhar1, Sindhu Chava1 1 The Brandley Department of Electrical and Computer Engineering Virginia Polytechnic Institute and State University 2 Boeing Research and TechnologyAbstractThis paper highlights an industry-driven Project-Based Learning (PBL) activity focusing on thedevelopment of Machine Learning algorithms for Anomaly Detection to be used in vibrationdiagnostics centered around the analysis of aircraft equipment. Students worked alongside aBoeing
material properties knowledge, the course focuses on new content knowledgeconcerning failure due to static and dynamic loading leading to possible yield and/or fatigue, considering © American Society for Engineering Education, 2023 2023 ASEE Southeastern Section Conferencedeflection to meet various design constraints. A first course will focus more on the analysis of simplegeometries. A second course will often delve deeper into specific machine configurations andcomponents, such as shafts, gears, welds, bolted joints, etc. The textbooks that support student learningcould be more manageable, numbering more than 1000 pages [1], [2].To consolidate resources and help limit the sense of being
-Stokesequations and the no-slip boundary condition [1]. A typical way of analyzing Taylor-Couette flowis by calculating the azimuthal velocity. This can be quite difficult when the flow is turbulent, butthe equations for steady flow are much simpler. The equations used to calculate the azimuthalvelocity in steady Taylor-Couette flow are listed below as equations 1-3 [2]. 𝐵 𝜈𝜃 = 𝛢𝑟 + 𝑟 (1) 𝛺2 𝑅22 −𝛺1 𝑅12 𝛢= (2) 𝑅22 −𝑅12
(PBL), suspensionsystem, dynamic vibration absorber.1. IntroductionIn many fields, an entrepreneurial mindset (EM) enhances the ability to identity opportunities, torecognize the impact of changes and to create long-lasting value. EM is the precursor toentrepreneurship that focuses on business ventures1. In engineering, it recalls recent technicalachievements and equips the engineers with the ability to impact society and the world aroundthem2. There are three key elements in the EM. Curiosity: Our students need to be curious about our changing world and about a contradiction to our accepted solutions. Connections: Our students need to connect information from other sources with their own discoveries
interdisciplinary scholar and educational evaluator whose research centers on culturalDipendra Wagle ©American Society for Engineering Education, 2023 2023 ASEE Southeastern Section Conference Engineering for One Planet (EOP) Centered Courses Guided by the Renaissance Foundry Model of Learning Dipendra Wagle1, Andrea Arce-Trigatti2, Pedro E. Arce1, and J. Robby Sanders1 1 Department of Chemical Engineering, Tennessee Tech University, Cookeville, TN 2 Department of Curriculum and Instruction, Tennessee Tech University, Cookeville, TNAbstractIn this contribution, we outline efforts to magnify the focus on sustainability in the
product.KeywordsProduction, Experiential Learning, Hands onIntroduction & BackgroundThe US Bureau of Labor defines the profession of Industrial Engineering as “Design, develop,test and evaluate integrated systems for managing industrial production processes, includinghuman work factors, quality control, inventory control, logistics and material flow, cost analysis,and production coordination”1. Other definitions include the term manufacturing operations inplace of “production”2. However, a key term of any industrial engineering definition isproduction, where production can be defined as “the process of making … goods to be sold”3.Introducing and exposing students to production can be quite challenging. While productionconcepts can certainly be described and
Engineering and Technology (CET) while the Isley Innovation Hub is runby the Miller School of Entrepreneurship and provides the space, the tools and theguidance students need to test their ideas. This paper describes the results of thiscollaboration and the benefits of combining innovation mentorship with campus wide IOTplatform facilitating experimentation and education. This collaboration includesawareness activities, IOT training and management of ideation and prototyping.Key words: IOT, Technology Innovation, Entrepreneurship. © American Society for Engineering Education, 20231. IntroductionLike many other universities, East Carolina University (ECU) [1] has a strong commitment to encouragingand enabling students to innovate and to
/engineering “aha”moment prior to delving into the math. The examples are focused on visual intuitive, andexperience-based feedback systems where sometimes the connection to traditional textbookblock diagrams is not obvious. The examples are grouped into three categories: 1. Mechanical examples, including (a) Balancing bird, where gravity-based feedbackkeeps the bird balanced at a specific orientation, (b) Roly-Poly toy, where gravity-basedfeedback leads to a steady state equilibrium, and (c) Flush Toilet, self-contained feedbackmechanism to achieve desired water level. 2. Electrical and Electromechanical examples, including (a) the use of Bi-metal toexplain sensing, error and action in A/C, Car Blinker, and Kettle, (b
returnto later in the interview [1]. In short, there are several factors that lead to effective interviewing,but lacking clarity of how to evaluate doing so, which ultimately would greatly enhance thequality of research in every stage of development.Numerous studies in the EER discipline use interviewing as a form of data collection across abroad range of topics and diverse applications, demonstrating its prominence and utility in thefield. Further, many engineering faculty conduct EER or join the EER community with limitedexperience in conducting social or educational research, showcasing the need for training infundamental skills like interviewing. There are several combinations of modalities, structures,and methodological frameworks available
qualitative data analysis methods for newer engineering education research:Content Analysis, Thematic Analysis, and Grounded Theory, although common confusions andmisunderstandings can lead to misapplication of method for pivoting engineering educationresearchers [1], [2]. For the purposes of this paper, the goal is to provide an accurate but high-leveloverview so users can compare the basics of these traditions: Each of these methods has extensivedocumentation in the form of textbooks and literature that we also recommend, though these arelikely less approachable at the beginning for newer engineering education researchers.Epistemologies in Qualitative Research To begin our exploration of qualitative research, Epistemology: The theory ofwe
single story.They are a relatively modern qualitative research methodology used in the existing literature forseveral purposes: to do justice to complex accounts while maintaining participant anonymity[1]–[3], summarize data in a more engaging personal form and retain the human face of the data[2], represent specific aspects of the research findings [3], enhance the transferability of researchfindings by invoking empathy [4], illuminate collective experiences [5], and enhance researchimpact by providing findings in a manner that is more accessible to those outside of academia[1]. Composite narratives leverage the power of storytelling, which has shown to be effective instudies of neurology and psychology; i.e., since humans often think and
, and then explore expanded solution spaces. Disappointment arises when studentsfail to make these connections or often fail to recall fundamental concepts necessary to makeinformed decisions. In this paper we describe changes made to a junior level class to helpstudents recall content from earlier courses on a particular topic in Electrical Engineering. Thisreflection better enables them to compare and contrast new material and even make connectionswith future course and industry solutions. Our initial survey indicates that student perception ofthese changes has been positive. Furthermore, a majority of the students responding to the surveysuggest including similar exercises in lab modules on other topics.1 IntroductionAn important aspect
our studentresearchers are given and recommended best practices for undergraduate research in this area aredetailed. Finally, how this work dovetails with our implementation of a multi-disciplinaryintroductory quantum computing course running for the first time this Spring is also described.1. IntroductionEducational scholars widely agree that engaging students in authentic undergraduate researchexperiences is a high-impact pedagogical practice as it promotes student-centered learning andresults in several positive learning outcomes including improved problem-solving, critical-thinking, and communication skills [1], [2], [3]. Undergraduate research programs also help withpersonal development, giving students improved attitudes, self
New Orleans, LA 70118 Meriel Huggard Nguyen Nguyen School of Computer Science and Statistics Bucknell University Trinity College Dublin Lewisburg, PA 17837 Dublin 2, IrelandAbstractAlmost every computer science program contains two semester-long introductory courses, usuallynamed Computer Science 1 (CS1) and Computer Science 2 (CS2). They have been a mandatoryelement of the ACM Computing Curriculum for nearly fifty years and are likely to remain so formany years to come. While there seems to be a broad agreement on the key elements of CS1, thecurriculum for CS2 can vary significantly between institutions. What
, we experienced the turmoil of conducting field research on engineering practice,including issues around gaining access to people and other sources of evidence, changing goalswithin partner organizations, and identifying primary informants, among others.Characterizing engineering practice is a difficult undertaking, especially given rapid rates ofchange and significant cross-sector differences in work roles and expectations [1]. Further,employers expect engineering graduates to be prepared to enter the workforce, but academiadoes not always have a clear picture of contemporary workplace realities. Indeed, debates persistabout the extent to which students should be trained for specific fields or job roles versusprepared more holistically for
interviewed. The feedback from the students and reflections from the faculty wouldprovide guidance about the integration of the undergraduate research experiences into the coursesto broaden the impacts of undergraduate research on learning and teaching. In the future, at leastanother two cohorts of students. especially from underrepresented groups, will be recruited. Wewill have a longitudinal study to explore the impacts of undergraduate research experiences onlearning and teaching using a mixed qualitative and quantitative method.KeywordsResearch Experience for Undergraduate, Drone Swarms, Artificial Intelligence. 1. Introduction Studies showed that interdisciplinary undergraduate research activity efficiently improvesstudents’ learning and
. There are many vulnerabilities in connected engineeringsystems that would lead to a successful cyberattack, including network-related vulnerabilities(e.g., weaknesses in computer networks’ protocols), software-related vulnerabilities (e.g.weaknesses in computer code/applications), and human-related vulnerabilities (e.g., people nottrained could reveal confidential information via social engineering, such as through phishingemails). 1 In addition, due to the deep integration between physical and cyber domains inemerging engineering systems, the impacts of each cyberattack are not confined to the cyberdomain but can cause devastating damage to physical assets (e.g., damage to equipment, theexplosion of a reactor, blackouts in cities, etc.). That
participant experiences and understanding [1]. CI is most commonly used for thepretesting of surveys and can be used for educational research, but the method can also beused to understand cognition, such as by having participants think aloud while problemsolving [1]. For the purposes of this paper, we will consider CI as a means of pretesting asurvey for research, using CI for validation purposes while the survey is in drafting stages. CIcan be used as an independent method, such as during think aloud studies of educationalmaterials, however we are most concerned here with CI techniques which impact the design ofwritten surveys for research. As a technique, CI has seen widespread use in this way acrossmany fields including psychology, education
Control. Dr. Qian is a Fellow of theInstitute of Electrical and Electronics Engineers (IEEE). ©American Society for Engineering Education, 2023Quantification of Competencies-based Undergraduate Curricular for Artificial Intelligence Certificate1. Objective and MotivationArtificial intelligence (AI) as a national priority for future technologies in the United States, hasdemonstrated its potential as a lifestyle-changing technology in different electrical and computerengineering areas such as speech/image recognition, and autonomous vehicles [1-5]. AIapplications are also heavily involved in most aspects of the economy, such as banking andfinance, national security, health care, and transportation [6-11]. By
named in his honor.Mr. Boz N Bell, HP Inc.Mrs. Tiffany Grant King, HP Inc. Mechanical engineer with both academic research experience and industry experience in the areas of automotive, pharmaceutical, paper manufacturing, consumer products/goods, and technology engaged in the challenges in STEM education, talent acquisition, and global business systems. ©American Society for Engineering Education, 2023DIVERSIFYINGSTEM PATHW AYS:MATH CIRCLES OFCHICAGO Doug O’ Roark Boz BellA Ne wJ o u rn e y 1. The Need 2. A Solution 3. Outcomes 4. Shared Vision 5. Reflecting on the JourneyIn t ro d u c t io n s Doug O’ Roark
deduced expected differences, noevidence of superiority of one of the three experimental conditions (videoconferencing,audioconferencing, and synchronous text-chat) could be observed in this contribution. Possiblereasons for this result, limitations of this study, and practical implications are discussed.Keywords: computer-supported collaborative learning, small-group collaboration, web-conferencing, synchronous online & hybrid teaching1. IntroductionCollaborative Learning (CL) is an instructional strategy with a positive impact on studentachievement (Cohen’s d = 0.39) in general [1]. Especially in undergraduate STEM programs, aCL approach results in greater academic achievement (Cohen’s d = 0.51), more favorableattitudes towards learning
provided by alumni to be a valuable tool to evaluate the computationalreform of the MatSE curriculum at the University of Illinois Urbana-Champaign and it is a usefulguide on how to reshape and improve its effectiveness further.IntroductionComputational methods in Materials Science and Engineering (MSE) are now essential in bothresearch and industry. Results from surveys conducted in 2009 [1] and 2018 [2] showed thatemployers in the MSE field highly value computational materials science education and aim tohire 50% of their employees with some computational MSE background. As a response to thegrowing importance of computation in MSE, the curriculum of MSE at the University of IllinoisUrbana-Champaign has been reformed by incorporating