Paper ID #24706Sustainable Research Pathways: Collaborations across Communities to Di-versify the National Laboratory WorkforceDr. Mary Ann E Leung, Sustainable Horizons Instittute Dr. Leung is a nationally acclaimed leader in the design and implementation of innovative programs aimed at developing the next generation of science, technology, engineering, and mathematics (STEM) leaders. As an accomplished scientist, Mary Ann honors and treasures the process of scientific discovery. As the director of major STEM-focused educational programs, Dr. Leung nurtured her passion for connecting students and science by
learning.IntroductionCommercial drones have become prominent in various industries during the last decade [1].Growing alongside this trend is the increasing concern for the noise generated by the propellersof these quadcopter drones. There has been an ongoing effort to regulate drone noise emissionsin urban and residential environments [2] – [4], where drones are becoming integral to tasksranging from videography to package delivery. The primary source of propeller noise comesfrom the vortex drag inherent to the traditional propeller design [5]. This technological issueprovides a practical challenge that engineering students can tackle during their studies. Studentsare prompted to explore the mechanism of vortex formation and alternative designs that mitigatethis issue
generative technology.Although it may be possible to deliver EML through a particularly engaging set of lectures anddiscussions, a more active pedagogical approach was sought by the Mini-EML Adventuresbrainstorming group. Once a technical component and context was selected, the third step waschoosing a pedagogical delivery method that included best practices in active learning, problem-based learning, scenario-based learning, story-based learning, peer-based learning, and more[18].The final step was to ensure the EM components were properly highlighted. The components ofEM included at least one of the 3 C’s from the KEEN EM Framework [1]. But each adventurecould also include other components, such as systems thinking, learning to be more customer
to this effort has been establishment of a model curriculumwith an associated schedule, lecture materials, readings, handouts, assignments, team projects,and exemplar exams.Another significant challenge for the course resulted from the change in sequencing from asenior level technical elective to a sophomore level, required, general education course. Seniorlevel team experiences required significantly less guidance to produce excellent teamexperiences. Anecdotally, sophomore students have also required greater prescription in classschedule and assignments (i.e., sophomore students are less receptive to an “on-demand”learning model that is responsive to instructor observed needs). Engineering studentexpectations regarding workload and time
renewable energy curriculum proposed for higher education institutions anduniversities in the country.IntroductionAbout 770 million people in the world do not have access to electricity [1]. Of this population 597 millionlive in sub-Saharan Africa [1]. The opportunity for providing off-grid access to electricity to ruralcommunities has been demonstrated through solar powered mini-grids [2,3]. These systems typicallycomprise a set of solar panels, batteries to provide electricity when solar power is not available, e.g. atnight, and may employ a fossil-fueled generator to also provide backup power. While mini-grids of thistype are starting to provide access to electricity in communities, there are many limitations that arecurrently limiting their
theauthors.Learning Objectives:By the end of this module, students will be able to: 1. Investigate how culture and the events in history affect design choices. 2. Apply design for additive manufacturing (DfAM) design guidelines to generate designs. 3. Design 3D objects with inspiration from a significant time in history or from a culture of their choice. 4. Discuss cultural relevance of their design choices.In a first-year engineering design class titled: Introduction to Engineering, at Western NewEngland University in the Fall 2022, 25 students were exposed to DEI concepts through a designfor additive manufacturing (DfAM) module. Students were required to incorporate historical andcultural themes in the design of the team’s logo that
theUniversity of Idaho, electrical engineering undergraduates learn these power electronic systemsin a hands-on, creative environment. The sequence was reported in an ASEE paper in 2004 [1]. Ithas been taught within the same framework since. This paper presents the power electronicstrack within this sequence of courses after an innovative project was added. The goals of thepower electronics track are stated in the cover letter to the syllabi. They are Gain a propensity to use first principles to solve problems. We take a physical approach and use our circuit theory and electromechanical energy conversion fundamentals. A solid foundation in these will serve us well here. Improve our communications and problem solving skills. This means a
“roadmap,” the skillset can provide bothstudents and their advisors a clear picture of the skills necessary to conduct a successfulcompetition project, from the early stages of recruiting and retaining a competition team to thefinal work of communicating the value of the team’s work during the competition event itself.Our goal is to share the roadmap and encourage faculty advisors to employ it with their students.Student Development and Entrepreneurial MindsetAs we have noted elsewhere, engineering competition team projects provide students with theopportunity to apply learning from the technical classroom to real world, open-ended designprojects. [1] Examples of competition team activities include Formula SAE, Human PoweredVehicle, Concrete Canoe
. Philip started his academic career as an Associate Professor in the Department of Computer Science at the University of Nebraska at Omaha. He is a member of the American Academy of Forensic Sciences, and holds numerous professional certifications, including Certified Information Systems Security Practi- tioner (CISSP), and a Certified Cyber Forensics Practitioner (CCFP) from (ISC)2, SANS GIAC Computer Forensics Analyst, and an EC-Council Certified Ethical Hacker. His research and teaching interests in- clude sUAS cybersecurity, and general aviation cybersecurity. Dr. Craiger is a certified NAUI technical SCUBA instructor and instructor trainer (certifies NAUI instruc- tors). He has hundreds of technical dives
program iscustomized to the specific data to be processed. The optimization of this process relies onhumans to update the program. On the other hand, machine learning has a different scheme,which is shown in Fig. 1(b). First, humans need to design the configuration of the neural networkand set up a number of parameters. Second, in a supervised training process, the system is fedwith both the input data and correct output, and the system will be optimized by comparing thecalculated output with the provided correct ones. With enough training processes, the system canprocess new data with high confidence [1].The first generation of a neural network is called a perceptron [2], which is shown in Fig. 2. Aperceptron has three layers of artificial
into the structure of science education by “raising engineeringdesign to the same level as scientific inquiry” [1] presents new challenges for science teachers.While teachers generally support higher standards and effective instruction, few have theopportunity to develop their content knowledge and pedagogical skills in ways that translate intoclassroom practice. Summer research experience programs aim to build long-term collaborativepartnerships with STEM teachers by involving them in research and introducing them to themost current developments in engineering and science. Opportunities for high school scienceand pre-engineering teachers to participate in bioengineering research projects providesprofessional development, improved
animations to the vehiclecomponents and parts under diagnosis and maintenance.This project contains several major tasks: 1) 3D modeling of the vehicle, including all internaland external parts to be displayed in the AR application, 2) 3D printing of the vehicles that onlyrequires the external parts that requires conversion from the file format used in Task 1 andfurther optimization of the model for 3D printing, 3) software development in Unity that utilizesmobile devices and Vuforia to generate the AR application for vehicle maintenance andoperation, and 4) preliminary research on software and information architecture to supportefficient development of AR applications. This project is most relevant to the following ABEToutcomes: 1) an ability to
inidentifying their KSAs.Background Anecdotal evidence from students in BAEN disciplines shows that undergraduates often facescrutiny from companies looking for hirees from ‘more traditional’ engineering majors such asmechanical, chemical, etc. Common complaints include being confused with other majors likebiomedical engineering or agricultural sciences, being deterred from application cycles by lackof mention to BAEN on job listings and being generally disregarded in favor of more obviouslyrelated majors. Part of this frustration can be attributed to industry or company representativeslacking needed information about the BAEN degree [1]. Recruiters are sometimes given specificinstructions on what roles need to be filled. These same recruiters also
, I’m creative–but not in mathematics!: Self-reported creativity in diverse domains. Empirical Studies of the Arts, 22,143–155, 2004.[13] Sternberg, R. J. The Assessment of Creativity: An Investment-Based Approach. Creativity Research Journal, 24(1), 3-12, 2012. doi:10.1080/10400419.2012.652925[14] Kaufman, J. C., & Baer, J. Could Steven Spielberg Manage the Yankees?: Creative Thinking in Different Domains. Korean Journal of Thinking and Problem Solving, 12(2), 5-14, 2002.[15] Baer, J., & Kaufman, J. C. Bridging Generality and Specificity: The Amusement Park Theory (APT) Model of Creativity. Roeper Review, 27(3), 158-163, 2005.[16] Sheldon, K. M. Creativity and self-determination in personality
program’s SLOs to the coursesrequired for a degree, specifying in which courses the skills required of each learning outcomeare first introduced, where the skills are reinforced, and where they should be mastered. See [3]for more information about this type of curriculum map. As an example, Table 1 is an excerptfrom our Physics program curriculum map that illustrates in which courses three of our learningoutcomes are introduced, reinforced, and mastered. For each SLO, performance indicators(measurable actions or knowledge) are assigned that are commensurate with each level. Course Learning Outcome 1 Learning Outcome 2 Learning Outcome 3 General Physics I Introduced Introduced General Physics II
properties such as temperature, humidity, pressure, etc.,and as a result, a voltage signal is generated. After proper signal conditioning, themicrocontroller transmits associated digital values to the webserver via the Internet. This methodfacilitates remote monitoring of a process in real time. This method also can be used to monitorstudents’ experiments if their data is measured and transmitted to a webserver. Subsequently,instructors can monitor experiments remotely anywhere, anytime. Figure 1 shows the basic blockdiagram of the system. The following is an example: Microcontroller Measurment
Horton called it, “the long haul” [9]. As we moveforward with these examples in conversation with our initial framework, methods, andparticipants, we aim to focus on an issue instead of a problem, to cut it up, and work on manywins, angles, and tactics for change.Initial Proposed Event DescriptionAlthough the structure of the event, its promotion, and how we aim to set the stage is subject tochange between submission of this paper and CoNECD, we would like to give an initialdescription of what this session might look like. Generally, we are planning to have a round-tablediscussion that may involve quick writing exercises, collective brainstorming, movement-basedpractices, and other methods of engagement that participant-researchers may elect to
paperpresents the successes and challenges of an engineering professional development program forteachers focused around the use of engineering problem-framing design activities in high schoolscience classrooms. These activities were designed to incorporate the cross-cutting ideaspublished in the Next Generation Science Standards (NGSS) and draw on best practices forinstructional design of problem-framing activities from research on design and model-elicitingactivities (MEAs). The professional development (PD) was designed to include the followingresearched-based effective PD key elements: (1) is content focused, (2) incorporates activelearning, (3) supports collaboration, (4) uses models of effective practice, (5) provides coachingand expert support
mathematics, science, ethics,programming, and economics. The FCE is formed by three modules: “Mathematics andprobability” (Module 1), “Natural sciences, physics and chemistry” (Module 2) and“Engineering” (Module 3). The first module consists of 30 multiple choice questions with 4possible answers and tests the subjects of 6 math related courses. The second module is madeof 48 multiple choice questions with topics of courses of natural sciences. The third moduletests topics of three general engineering courses and spreadsheets usage. The summary of the3 modules, the numbers of questions, time given to students and the courses that eachmodulus covers are shown in Table 1. In order to pass the FCE the student has to answer 60%of the questions correctly
(A==1) is a comparison operationchecking whether the value of A is equal to 1. It is generally the equalityoperator (==) that you want to use when comparing values in conditionalstatements.”(c) Teaching the Concept of LOOPsHomework 3:Consider for (; ; ;) statement:(i) Is it a correct statement?(ii)Ask ChatGPT what is the use of for (; ; ;) in C programming.Question to ChatGPT:What is the use of for (; ; ;) in C programming?Answer from ChatGPT (without editing):“In C programming, for (; ; ;) is an infinite loop. It is a shorthand notation for aloop with no initialization, no condition, and no increment or decrementexpressions. In practice, infinite loops are used in situations where continuousexecution is desired until the program is manually
general workplace behaviorsand knowledge that successful workers in most industries exhibit.Level 1 – technician skills - is the set of employability skills and abilities that are required of allentry-level employees. Competencies at this level include intermediate mathematical and writingcommunication skills, elementary problem solving, team skills, and mental agility needed toapply basic geospatial technical knowledge and be able to work with industry tools effectively.Moreover, the geospatial technical skills at this level involve elementary knowledge ofpositioning and data acquisition technologies. Such technical skills can be acquired through on-the-job training, apprenticeship programs, or an associates’ degree from community colleges
arguably nine had to dowith professional skills. Only (a) and (b) deal exclusively with technical content. And whileengineering educators would welcome humanities and social sciences faculty who were willingto work to integrate these learning outcomes into their courses, Jacobson’s committee understoodthat the academic politics surrounding general education required the change to be accomplished,in large measure, through courses taught by the engineering faculty [33].This said, EC 2000 was also built around a set of political compromises. The Gang of Six spokecasually about having three broad goals: the first was to come up with a radically simplifiedaccreditation criteria; the second to get rid of program criteria; and the third to get rid of
promote healthy relationships andtheir general well-being by identifying and resolving mental health issues. The study ends bypromoting evidence-based strategies to improve the cognitive and emotional aspects of studentdevelopment, such as peer-led team learning and extensive support networks. Given thecircumstances, this SLR offers a comprehensive viewpoint on mental health in engineeringeducation, providing insightful information to practitioners, legislators, and academics to directfuture initiatives fostering student well-being and academic success.Keywords: anxiety, depression, engineering, mental health, mental illness, well-beingIntroductionIn today's demanding academic setting, engineering students' mental health is vital [1]. Therigorous
incorporation of the context in which the design will be implemented [7], [8],and design outcomes advance from the use of prototyping throughout a design process ratherthan as single phase in a design process [9]–[11].In general, engineering culture and education de-emphasizes𑁋𑁋and students may struggle toattend to or face barriers in attending to𑁋𑁋social complexity, including the role of people andcontext [12]–[18]. There are some design process model visualizations that refer to stakeholders,for example, by describing “Empathize” as a stage in design work (e.g., [2]). However, manyprocess model visualizations do not explicitly attend to stakeholders or context (e.g., [1], [4]),although some models refer to the market, ergonomics, and economic
follows: Approximations [of practice] represent an opportunity to engage in aspects of practice with additional support and under conditions that are designed for optimal learning. Approximations generally try to target specific elements of practice and create conditions of reduced complexity in order to make it easier … to try out new elements of practice while reducing the consequences of failure. [9]Two well-known types of approximations include: (a) teaching individual students or smallgroups of students within field experiences [1, 10]; and (b) peer teaching experiences wherePSTs teach other PSTs and/or their teacher educators who assume the roles of students [11, 12].Regarding the former, the field experiences
was linked with a positive shift in affect with respect tothe subject of fluids, which we measured through the Fluids Perception Survey (FluPerS)1. Thiswas in contrast to the survey results from Fluid Mechanics, a traditional engineering core course,with a highly analytic, mathematical approach. Exit surveys of students in Fluid Mechanic reveala negative shift in affect toward fluids, which is typical of other technical courses and theircontent areas.More specifically, the responses from Flow Vis students can be termed an “expansion ofperception” – when learners see everyday objects, events, or issues through the lens of thecontent2. Expansion of perception is often associated with deeper conceptual understanding andthe ability to transfer
Loyola University Chicago 17 Intro to OO Programming (Java) (online) COMP 170 Spring 2021 Loyola University Chicago 12 Intro to OO Programming (Java) (online) CS 21 Fall 2021 Saint Mary’s College of 21 Programming I California (Python) (in person)* In the Fall 2017 section, students were given an option between a standard project and a student-driven project.**Online here refers to sections where there were synchronous sessions (or classes) held weekly. Both classmeetings and 1-on-1 meetings
most of their studies remotely or online and pre-pandemic students are studentswho started their studies regularly and were interrupted in the middle of their process bysocial isolation.Individualism represents the degree of preference for teamwork and group membershipin a society. In the educational context, individualistic people tend to be students whoprefer individual work rather than collective work and seek their benefit [37]. Based onthe results in Table 1, we observe that both groups score high on the spectrum ofindividualism, with pre-pandemic students having a higher mean generating asignificant difference with post-pandemic students. However, it is interesting to notethat students who had their studies in a face-to-face manner
identification, as well as the brainstorming of multiple solutions, arekey practices in design and design thinking [1], [2] and support the development of creativeactivities and processes [3], [4]. In the context of K-12 schooling, problem identification andsolution ideation are informed by the Next Generation Science and Engineering Standards [5] aschildren should be provided opportunities to define and describe problems that can be solved,specify and consider constraints and criteria, generate multiple solutions, and communicatedesign ideas and/or solutions. Elementary students are often engaged in well-defined problems asopposed to ill-defined authentic problems and puzzling phenomena that mirror the work ofprofessional engineers [6], [7]. In
scenarios. A typical cryptojacking attack consists of the following stages: 1) Script from the webpage makes anHTTP request to the same webserver that hosts the webpage itself. 2) The webserver responds with a so-called orchestrator part of the mining: a script that contains all the detection and initialization tools. 3)Upon detection the user’s environment, the orchestrator contacts the mining service server and receivescryptomining payload. 4) Payload is executed by establishing a connection with a mining pool, fetchingwork and submitting hashes. This outline is general for all the mining services; the difference is in tools and techniques used toimplement stages of this process, most notably steps 3 and 4. These dissimilarities allow us to