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 #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
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
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
universities andengineering faculty members interested in collaborating with such clubs to introduce real-world problemsand demonstrations in their rocketry courses.1. Introduction and History of Cyclone Rocketry ClubThe Cyclone Rocketry club is an engineering club at Iowa State University (ISU) in the U.S. that providesstudents with hands-on experience in designing, manufacturing, and testing large, high-power rockets.Cyclone Rocketry’s mission statement is “to educate, challenge, and inspire the Iowa State students,community, and future generations about rocketry, science, engineering, and space exploration.” AlthoughCyclone Rocketry is a relatively new organization, only in its fifth year as of 2022, it is well-respectedwithin the Iowa State
expand on the scope of this study by investigating the generalizability of the resultsto other regions and cultures and exploring potential ways to improve the program to support thedevelopment of future leaders in sustainable engineering.IntroductionEngineering education has transformed in recent years, emphasizing experiential learning todevelop students' competencies. One example of this trend is Engineers Without Borders (EWB),which provides students hands-on field experience through sustainable engineering projects. [1].EWB's experiential learning program is based on the principle of direct experience and reflection,which effectively develops the skills necessary for engineering practice, including problem-solving, teamwork, and leadership
Engineering Division (SWED)Key Words: Software Engineering, Agile Software Development, User documentation, ActiveLearning, Real-world project, Technical Communication.Introduction“Complexity kills,” Microsoft executive Ray Ozzie famously wrote in a 2005 internal memo [1].“It sucks the life out of developers; it makes products difficult to plan, build, and test; it introducessecurity challenges; and it causes user and administrator frustration.” If Ozzie thought things werecomplicated back then, one might wonder what he would make of the complexity softwaredevelopers face today with software users that expect flexibility from software in many the areas offeatures, connectivity options, high performance, multiple platforms, including the Internet
outlining the coursework requirements a student must completein order to earn a degree as a network. In the network, courses are represented as vertices (ornodes), and the prerequisite relationships among them are given by directed edges (arrows).This data type allows us to calculate a suite of metrics drawn from the pool of techniquesdeveloped in other fields, like social network analysis, that can help us capture “complexity”in some meaningful way. First appearing in its most recognizable form in work by Wigdahlas the idea of “curricular efficiency” [1], Heileman et al. [2] provide a thorough treatment ofthe possible quantities that form Curricular Analytics.Curricular complexity is divided into two components: instructional complexity
interventions to improve engineering students'experience.1. IntroductionEngineering equips students with the ability to use their mathematical and scientific principles tobuild models of real-world systems and to simulate their behavior which allows them tounderstand complex phenomena, innovate around them, and even make predictions. Modelingand simulation then becomes a fundamental skill set across engineering disciplines. Multiplecalls have been made for increased incorporation of modeling and simulation in science andengineering classrooms [1], [2]. Clark and Ernst [3] further emphasize that by having coursesthat link science and mathematics to technology through the development of both computationand physical models, STEM content integration can
attribution. This paperdiscusses the ethical and legal implications surrounding AI art generators and copyrights,describes how the AI generators operate, considers the positions in the creative process, andconcludes with suggested best practices for engaging AI art in the architectural design curricula.IntroductionA consensus definition of art within the art community is asymptotic as each artist may have adifferent opinion on what art is. Oxford defines art as “the expression or application of humancreative skill and imagination, typically in a visual form such as painting or sculpture, producingworks to be appreciated primarily for their beauty or emotional power [1].” One might simplifyand suggest that art is a process led by the human mind that
ofstakeholder awareness skills and identify the area(s) of development (gaps). The results provide us withinsights to develop effective teaching strategies to address these gaps.Study participants were tasked to complete a scenario-based assessment proposed by Grohs, et al. [1] thatfocuses on systems thinking and problem-solving as engineers by responding to a scenario that addressedtechnical and social contexts. The activity focuses on participants’ responses to a given scenario and theprompts intended to guide respondents in a systems-thinking approach. Data were collected electronicallyand analyzed using qualitative coding methods by applying the assessment tool rubric to evaluate studentresponses using systems thinking constructs from the framework
also a competence-based one, inwhich each program has major competences that we declare our students will develop duringtheir studies. The name of our model is Tec21 and has proven to be very successful inattracting students to all the programs. The model also includes the design of new learningspaces and the use of the latest technologies in the learning rooms [1-6]. Fig. 1 shows the newlayout for teaching Engineering courses in our university. ^ Fig. 1. New learning spaces with chairs that allowed collaboration (September 2019)The main objective of this paper is to present some of the activities that have been wellaccepted by students as well as some of the best practices from online terms, in whichprofessors had to adapt the
overcome this difficulty, courses in Tecnologico de Monterrey continuously introduce novellearning techniques that allow the students to link theoretical content with practical application inreal life contexts. This paper explores the implementation of Guided Learning Sequences (GLS)in the Data Analysis class, which explores the basic statistics concepts required to successfullyperform the Measure phase of DMAIC.Literature reviewOriginated at Motorola in the late 1980’s, Six Sigma has evolved into a large collection of toolsthat in conjunction with a managerial focus, support the efforts to continually improve all theaspects of an organization [1]. According to ASQ, 82% of Fortune 100 companies use Six Sigmato improve their organizational
disciplinesthat are not perceived by novice learners as computational in nature. Previous research indicates thatstudents majoring in subjects that are not programming-heavy might think they will not need these skillsin their careers, or they are less capable [1]. However, both students and professionals across differentengineering disciplines commonly accept that diversifying one's skill set makes one more marketableand favorably positioned for career advancement [2][3]. Additionally, studies suggest that materialsscience and engineering (MSE) faculty favor incorporating computational tools into their teaching andthink that computation is an essential component of the curriculum [4]. However, more research isnecessary to understand how students
course on EDP will be purposefullyintegrated with an in-depth discussion of 3DP. The approach is to dissect a 3D printer’s hardware,explain each component’s function, introduce each component’s manufacturing methods, describepossible defects, and elucidate what works and what does not. This has at least four benefits: 1)PSTs will know what is possibly wrong when a printer or printing process fails, 2) PSTs will learnmore manufacturing processes besides 3DP that can be used to support engineering designprototyping, 3) PSTs will know how to design something that can meet the manufacturingconstraints, i.e., can be actually fabricated, and 4) reduce errors and frustrations caused by faileddesign and failed prints which happen frequently to novices