37 17.45% 55 21.15% Prefer not to answer 27 12.74% 29 11.15% I identify as a person with a disability 23 10.85% 11 4.23% Group(s) not listed above: 21 9.91% 7 2.69% I identify as LGBTQ+ 7 3.30% 8 3.08% Total sample n 212 260Note: Reference sample for check all that apply is the preceding multiple choice question(gender)Group(s) not listed above: Hub Regional Pre-Survey Hub Local Pre-Survey -Black -Jewish -Veteran
the 1st generation, low income, urban and rural highschool student populations. As evidenced by their SAT Math achievement scores and high GPA’swhich prompted their admission, these students are smart. However, they received their STEMeducation in low performing urban and rural high schools and were raised in highly challengedunder-resourced neighborhoods. Research shows that these talented students succumb to theintensity of the 1st and 2nd year university math/science courses. The S-STEM BEATS projectbuilds upon prior NSF S-STEM and STEP projects lessons and practices which proved S-STEMscholars will thrive best when embedded and engaged in an academic innovation ecosystem whichallows students to benefit from the support talents and
find the numerical solution directly from the aboveequation and initial conditions. Matlab code using Symbolic Toolbox and the response plot areshown in Figure 2. % Solve the ode and assign the solution to variable 'x' x = dsolve('D2x + 2*Dx + 5*x = 3','Dx(0) = 0','x(0) = 0','t') % Plot the response from 0 to 5 seconds ezplot(x, [0,7]) % Assign labels to axes and a title to the plot xlabel('Time (s)') ylabel('Response by dsolve') % Plot gridlines grid on % Define axis axis([0 7 0 0.8]); Figure 2 - Matlab code using Symbolic Toolbox and response plotingTwo approaches are introduced to the students to find the solution of an ODE in Simulink. Thefirst one is based on
daemon,# identified by the full daemon path listed below. Paste (Ctrl_v) the saved TEST-Code on this I/O Panel,# click Load and then Super-Calculate to recover the solution. You can email a solution in this manner.############################################################################################## Daemon Path: Test>Daemons>Systems>Open>SteadyState>Specific>RefrigCycle>PC-Model; Version: v-8.0bj04##--------------------Start of TEST-Codes----------------------------------------------------------------------------- States { State-1: H2O; Given: { p1= 12.5 MPa; T1= 550 deg-C; Vel1= 0.0 m/s; z1= 0.0 m; mdot1= 24.0 kg/s; }\ State-2: H2O; Given: { p2= 20.0 kPa; s2= "s1
equilibrate between temperature readings.Analysis:The heat diffusion equation for one dimensional, steady state conduction with constantthermal conductivity is as follows: 1 3 1T 5 1 2T 7k 8 = 0 2 2 = 0 1x 4 1 x 6 1xThe general solution is as follows.T(x) = C1 x + C2Boundary conditions are determined from the student’s experiment. The followingexample uses data for a polycarbonate block 1 cm thick. Polycarbonate was chosenbecause its glass transition temperature is about 150oC and therefore it won’t soften ormelt on the mug warmer surface.T(0) = Tw,s 1 T(0) = 122 o C and T(L) = Tp,s 1 T(0.01m) = 88.8 o CThe particular solution is in symbolic and numeric form: T 1TT(x) = p,s w,s x + Tw,s
( x, 0 ) = 0, ( x, Y ) = f y =Y ( x, t ) ∂y ∂yWith Fint erior ( x, y; s ) and Fy =Y ( x; s ) denoting the Laplace transforms of f int erior ( x, y, t ) and f y =Y ( x, t ) , respectively, USFKAD expresses the Laplace-transformed solution asΨ = Ψ1 + Ψ 2Ψ1 = ∑ κ sin κ x x cosh κ x2 + sy A ( s; κ x ) x Page 11.188.7 π 2π 3πwith κx = , , ,... X X X 2A ( s; κ x ) = ∫ 0X dx sin κ x x M
bringing the entrepreneurial mindset to engineering education. c American Society for Engineering Education, 2017 The rise of rapid prototyping in a biomedical engineering design sequenceIntroductionPrototyping has always played an important role in the design process as way to determineconceptual viability and iterate upon an idea. Over the last decade, the decreasing costs,improved accuracy, and wide-spread availability of rapid prototyping (RP) technology haslowered the barriers to early-stage prototyping. At universities, the result has been the rise ofmaker’s spaces, skill-based pop-up classes and rapid design challenges. In this paper, we explorethe history of rapid prototyping throughout the 1990’s and 2000
, which was verified with this data. Stage 3: In this stage, the orthogonal arrays (OA) and signal-to-noise (S/N) ratios are calculated and used to determine the most useful set of predictive variables. Larger S/N ratios are preferred and indicate a possible useful predictive variable. 3 Stage 4: The variables that were identified as significant due to a positive S/N are used to develop a forecasting model. Table 1. Descriptive Statistics of Raw Data Completers Range Factor N Mean Median
) executive Board Positions are:President, MAES Vice President, SHPE Vice President, Vice-President of Internal Affairs, Vice-President of External Affairs - Corporate, Vice-President of External Affairs - Jr. Chapters,Treasurer, Historian and Webmaster. The Vice-President of External Affairs – Jr. Chaptersoversees the Jr. Chapter Representative Committee, which is composed of the different Jr.Chapter Representatives for every high school having an established Jr. Chapter. Every Jr.Chapter has their own executive board team that work with their respective chapter advisor(s). Agraphical representation of the administrative structure is shown below.As shown in the schematic (Figure 1), the Jr. Chapter Representatives report directly to the Vice
Effect of Different Masses 12 9 (m/s) 8 (m/s) 10 loop loop 8 7 v v 6
,and acceptance by consumers. Here, one of the engineering students, also authors of this studyreviewed microfluidics for plant cell studies to address the problems and concerns. Theundergraduate student has used these research activities for his Engineer 2020 requirements.Overall, these studies greatly benefit undergraduate engineering students for their future academicstudies at different institutions.ReferencesAgudelo, C. G., Sanati Nezhad, A., Ghanbari, M., Naghavi, M., Packirisamy, M., & Geitmann, A.(2013). T ip C hip: a modular, MEMS‐based platform for experimentation and phenotyping of tip‐growing cells. The Plant Journal, 73(6), 1057-1068.Bascom, C. S., Wu, S. Z., Nelson, K., Oakey, J., & Bezanilla, M. (2016). Long-term growth
developed that willcontinue to fuel this growth? Science and engineering (S&E) enrollments have remainedrelatively stagnant for the past 20 years. If this trend continues, what will happen to theeconomy? The authors recognize the need to increase overall enrollments in S&E fields, and theopportunity to increase enrollments by attracting and retaining students from underrepresenteddemographic population groups. Women represent over half the nation’s population and nearlyhalf of the undergraduate enrollment, yet are dramatically underrepresented in the technical andacademic community. Increasing participation of underrepresented groups in S&E will not onlyincrease the available technical workforce, but will also interject ideas and
Session 3475 Teaching Lessons from Engineering Feedback Model for New Educators Dr. Ramesh Gaonkar Computer & Electrical Engineering Technology SUNY, Onondaga Community College Syracuse, New YorkAbstract:*The Shannon s communication model is often used as a presentation vehicle in a teaching andlearning environment. The model includes an input, an output, and a receiver or a transmitter.In engineering, we view this model as a open loop system. A classroom lecture by itself
Session 3475 Teaching Lessons from Engineering Feedback Model for New Educators Dr. Ramesh Gaonkar Computer & Electrical Engineering Technology SUNY, Onondaga Community College Syracuse, New YorkAbstract:*The Shannon s communication model is often used as a presentation vehicle in a teaching andlearning environment. The model includes an input, an output, and a receiver or a transmitter.In engineering, we view this model as a open loop system. A classroom lecture by itself
hierarchical ornetwork form, with labeled nodes (in circles or boxes) denoting concepts, and linking words orphrases specifying the relationships among concepts. Two or more concepts that are connectedby linking words or phrases form a proposition (i.e., a meaningful statement). Figure 1 showsthe structure and characteristics of concept maps 8.Since its development in 1972 by Joseph Novak and his colleagues 7, 8, who sought to follow andunderstand changes in children‟s knowledge of science, concept mapping has been adopted innearly every discipline ranging from STEM (science, technology, engineering, mathematics),psychology, and medicine to business, economics, accounting, history, and literature by
students in STEM majors [5]. Active learning experiences are broadlydefined as activities that students do to further knowledge and understanding of a topic and canbe anything from brief pauses during lectures to allow for reflection to semester-long off-siteprojects. Active learning can be particularly beneficial for the most challenging aspects of acourse, such as the analysis of frames and machines in a statics and dynamics course for whichstudents must apply their knowledge of several previous topics to systems with complexstructures and multi-force member(s). Additionally, entrepreneurial mindset learning (EML) has been incorporated intoengineering programs. Through EML, student learn how engineering principles combinedcuriosity and a
, including approximately 3,000 graduate students. Roughly 75% of the graduate studentpopulation identifies as White, 7% as Hispanic, 2% as Black/African American, and 2% as Asian.U.S. citizens constitute 93% of the graduate population, and 38% of the graduate populationattends full-time. There are two populations of participants in this study. The first population is the studentssupported by the scholarships (SEGSP), hereafter, referred to as scholarship participants (S).The second population is comprised of graduate students in the College of Engineering notsupported by the SEnS-GSP, hereafter, referred to as general engineering students (G). Thisresearch took place during the 2020-2021 and 2021-2022 academic years. The demographics ofthe S and G
of Second Life. Tapir Academic Press, 2009.5. Seng, J. L. K. & Edirisinghe, E. M. N. S. (2007). Teaching computer science using Second Life as a learning environment. ICT: Providing choices for learners and learning. Proceedings ascilite Singapore 2007, Nanyang Technological University, Singapore, pp. 583-586.6. Tüzün, H., Yılmaz S., M., Karakuş, T., Inal, Y. & Kızılkaya, G. (2009). The effects of computer games on primary school students’ achievement and motivation in geography learning. Computers & Education, Vol. 52, No. 1, pp. 68-77.7. García-Zubia J., Irurzun, J., Angulo, I., Orduña, P., Ruiz-de-Garibay, J., Hernández, U. & Castro, M. (2010). Developing a Second-Life-based remote lab
Attilio J. Giarola, to follow him to Seattle.Initially a professor at Seattle University, Reynolds moved to the University of Washington inthe late 1950’s. It was at Washington that Sigelmann and Giarola completed their Ph.D. degrees.Sigelmann remained at Washington and, as of this writing, is a professor emeritus living inSeattle. Nevertheless, Sigelmann has maintained an active involvement with Brazil. Giarolareturned permanently to Brazil in 1975 after working for Boeing and Texas A&M University.David A. Rogers, an American, earned his Ph.D. at the University of Washington and went toBrazil in 1972. His interest in South America began when he was a child and heard stories inchurch of missionaries in that part of the world. Reynolds and
Session ADDRESSING THE ALTERNATIVE ENERGY WORKFORCE NEEDS Mulchand S. Rathod, PhD, PE Vladimir Sheyman, PhD Division of Engineering Technology College of Engineering Wayne State University Detroit, MI 48202SUMMARY Reliable and alternative energy sources are essential for the economic well being andnational security of the United States of America. Recent spikes in energy prices have
components. Asengineering design teams define, scope, and research their problem the team will develop a sharedunderstanding of the problem and any complex system(s) underlying it. This conceptualization may thencontinue to evolve throughout their design process and deeply impact the direction of their project.Therefore, the degree and depth to which the team attends or conceptualizes the complexity of theunderlying problem will likely affect the effectiveness, adaptability, and longevity of any resulting designsolution. In this work we propose to examine how capstone engineering design teams attend tocomplexity within their design problems through a modified method for complex system mapping. Wedraw on complexity theory, and specifically the
Paper ID #24774Project-based Robotics Courses for the Students of Mechanical EngineeringTechnologyDr. Zhou Zhang, New York City College of Technology Assistant Professor, Ph.D. Department of Mechanical Engineering Technology, CUNY New York City College of Technology, 186 Jay St, Brooklyn, NY 11201. Email: Zhzhang@citytech.cuny.eduDr. Andy Zhang, New York City College of Technology Dr. Andy S. Zhang received his Ph.D. from the City University of New York in 1995. He is currently the program director of a mechatronics project in the New York City College of Technology/CUNY. For the past 15 years, Dr. Zhang has been
θo n (∆t )1 ( ∆t ) 2 (∆t )3 ∆t 10° 6 2.99 s 3.01 s 3.00 s 3.00 s 20° 6 3.15 s 3.11 s 3.13 s 3.13 s 30° 6 3.29 s 3.26 s 3.23 s 3.26 sTable 2. Natural Period and Frequency for Half-Disk Oscillation θo Pexper (ωn )exper (ωn ) theor Ptheor Rel. Error 10° 0.500 s 12.57 rad/s 11.58 rad/s 0.542 s 7.75% 20° 0.522 s 12.04 rad/s 11.58 rad/s 0.542 s 3.69% 30° 0.543 s
. This is the case when all team members are involved in the decision making process and participate in problem solving activities. Timely accomplishment of goals is greatly enhanced by having an agreed upon decision making process. Avoiding the “paralysis by analysis” problem is critical to the team‟s success. In some cases, decisions must be made by consensus. Once a decision has been reached, even through consensus, all team members must accept, own and support it. Appreciation and celebration for team‟s success is also important. Human beings want to be appreciated and valued for contributions. It is the leader‟s responsibility, in many cases, to ensure that this need is met. Working in a
. Commonfeatures associated with paper-models, computer models, 2D, 3D or 4D models (common invirtual settings), or mathematical models adhere to certain characteristics. Halloun14 proposesthat knowledge needed to understand a scientific model is comprised of four dimensions: itsdomain, the overall physical system, object or referent; the composition, the context and sub-content associated with the model; the structure, including its geometry, how it interacts andbehaves within a certain physical system; and organization, the principals, laws and rules that arenecessary in explaining a particular phenomenon. Knowledge of these dimensions requiresmodeling method(s) that facilitate student opportunities to investigate science and engineeringconcepts.Another
-learning/. [Accessed 4 1 2021].[3] E. Cabi, "The Impact of the Flipped Classroom Model on Students' Academic Achievement," International Review of Research in Open and Distributed Learning, vol. 19, no. 3, July 2018. © American Society for Engineering Education, 2023 2023 ASEE Illinois-Indiana Section Conference Proceedings[4] K. Viall, C. Lowrance and S. Bronikowski, "Thayer quiz method: Replacing homework with frequent quizzes in engineering classes," in Frontiers in Education Conference, 2011.[5] S. D. Hart, "Applying the ExCEEd Teaching Model in a Flipped Classroom Environment," in ASEE's 123rd Annal Conference and Exposition, New Orleans, LA, 2016.[6] B. J. Smith, "Evaluation of a Flipped Classroom
educators achieve this much-needed broader vision.References[1] M. E. Cardella, “Early childhood engineering: Supporting engineering design practices with young children and their families,” presented at the NARST 2020 Annual International Conference, Portland, OR, Mar. 2020. [Online]. Available: https://www.researchgate.net/publication/340234317_Early_Childhood_Engineering_Supp orting_Engineering_Design_Practices_with_Young_Children_and_Their_Families[2] National Academies of Sciences, Engineering, and Medicine, Science and engineering in preschool through elementary grades: The brilliance of children and the strengths of educators. Washington, DC: National Academies Press, 2021, p. 26215. doi: 10.17226/26215.[3] S. A
criterion selection and evaluation. Recognizing a need to haveconsistency in SWOT criterion evaluation, Kurttila et. al.5 applied a hybrid Analytic HierarchyProcess (AHP) with the SWOT analysis to evaluate forest certification. Stewart et. Al.7 applied asimilar hybrid AHP method to construction cases.The output of a weighted and scored SWOT analysis has long been established with a 2D plotshowing the S-W (y-axis) vs. the O-T (x-axis). Chang and Huang plotted the O-T vs. S-W axisinto a 2D graph to allow better visualization of the outcomes and offer suggestions based uponthe quadrant outcomes2. They coined these developments as the Quantified SWOT and theGrand Strategy Matrix (GSM) which is a reversal of the S-W vs. O-T plot although there is noreal
Southeast Asian woman who at the time of the interview had worked asa mechanical engineer in the U.S. for 11 years. She has held several professional roles in hercareer across the energy and automotive industries. At the time of the interview, she was a crashsafety engineer at a major automotive company.In describing her current role, Radha stressed how important it was to understand the impact herwork was going to have on other parts of the system. In her engineering context of crash safetytesting, this ‘system’ was the entire vehicle and its launch. She described how, “especially asmechanical engineer[s], we’re very prone to look at parts, right?...We are really important, butagain, we’re just part of it.” She identified the dynamic between
participant connected via a videoconferencing program such asSkype.Student FeedbackAnonymous feedback from students was solicited using an online survey. Questions includedone demographic question (year in school), 19 Likert-scale questions and 4 open endedquestions. The Likert questions and their responses are shown in Table 1. Reverse coding wasnot used in order to be consistent with past uses of the survey. The survey was voluntary so outof 31 possible students, 14 responded.The responses to Q1 – Q5 presented in Table 1 indicate the student’s feelings of being connectedto peers and faculty. Overall the student responses indicate a more secure feeling of connectionwith the S-STEM program faculty than within their individual academic programs (Q1