student for analyzing thisproblem: (a) Creating the needed Parts, (b) Prescribing the material properties, (c) Creating a“Section” for each segment of the solid, (d) Assigning the created Sections to each Part, (e)Creating the Instances of the Parts and assembling these into the correct position using the propertools, (f) Creating the analysis “Step”, (g) Requesting the list of output variables required, (h)Prescribing the proper boundary condition for the assembled model, (i) Applying the temperatureload, (j) Applying seeding and meshing schemes, (k) Implementing the proper procedure togenerate the needed report in the desired format, and (l) Creating the needed “View Cuts” andprobing the nodes and elements to display the output variables needed
-Louis Leclerc, Comtede Buffon’s 1773 experiment of dropping needles on a surface with parallel lines repeatedly toestimate the value of is considered to be one of the earliest examples of the Monte Carlomethod1,2.Monte Carlo integration is employed to estimate integrals of multivariable functions that aredifficult, or impossible, to integrate analytically. However, in order to keep the discussion simpleenough for a sophomore who may or may not have taken Calculus III, I am going to keep topositive functions of one variable. I will first describe the method adopted from the textbook Iused for Numerical Analysis1: To calculate the integral of f(x) in the range from x = a to x = b,we can generate a random number xi uniformly distributed between
an overhang above a doorway. Foreach problem, three images of the scenario were developed: a photograph of the system (lowabstraction), a line drawing of the system (medium abstraction), and a line-drawn image of thesystem in which most details identifying it as a real-world object were removed (highabstraction). Figure 1 shows the images used at each level of abstraction for each of the threeproblems.Students in a first-year course, who had just learned to draw FBDs (the assessment was justprior to their first exam on the topic), and students in a third-year course, who wereexperienced with FBDs, were asked to draw FBDs for these problems. Each student populationwas randomly divided into three groups: A, B, and C. Each group saw each of the
. 2(a)). (a) (b) (c) Figure 2. Photonics industry growth roadmap study results: (a) Technicians in the next five years, (b) growth of new middle-skilled openings, (c) photonics versus electronics qualification in new middle-skilled openings.[1]The growth of these technician careers was estimated for the next decade, in order to assesscritical trends across the silicon-based PIC and fiber optics supply chain. Data from the USBureau of Labor Statistics, market intelligence reports, and survey responses were used toproject both anticipated positions and openings. We estimate middle-skilled positions within thetwo industries to grow from
shows a second terminating leaf node at level 2, wherethere is no instructor to be staffed in class B while satisfying all the constraints.4. Course Staffing Optimization Using Depth First Search The case study considers staffing of the Master’s in Computer Science program at the NationalUniversity. The program is offered in an accelerated format where each course is completed withinfour weeks. The graduate program consists of 13 courses, as shown in Table 1, and is offered threetimes a year, twice a year in an online format, and once a year in an onsite format. Each of the 13courses is abbreviated with lowercase letters a, b, c, …, m. Table 2 shows the offering of coursesfor each month from January to December each year, the same pattern is
with the students, the instructor has noticed that many students whotypically performed “B”, “C”, or even “D” grade level work in the instructor’s previous classes,often excel at the project aspect of the senior design course. Meanwhile, some “A” grade levelstudents have failed to connect the theory from previous classes to practical application, and thusstruggle with the open-ended nature of the project and the need to get work completed, even if thecalculations are preliminary and will need further revision. As a result, the instructor hasquestioned the use of letter grades in courses to distinguish between students as the ability tocomplete test questions in a given timeframe does not equate to how well the student is preparedto complete
wouldphysically separate a student laptop from the device under test and also has the potential tosimplify software debugging by shifting at least some software onto a standard computingplatform.KeywordsRaspberry Pi, RTL-SDR, intermediate computing devices, mini PCHeadingsThis work in progress evaluates two possibilities for potential use as an intermediate computingdevice for undergraduate labs in electrical and computer engineering: (1) a Raspberry Pi 4 B and(2) an inexpensive Celeron-based mini PC. The specific lab activity being evaluated in this paperis a software-defined radio (SDR) activity of the type that might seen in an undergraduateelectrical engineering communication systems course1,2. MATLAB is one of the typical programsthat is used to
include: a. Reference [1] presents the design of a low-cost 3D printer using off-the-shelf components. The printer is constructed and then used as a demo for a high school STEM outreach project. b. Reference [2] illustrates how design projects can be used to foster self-directed learning (SDL). This paper details how various course design projects are used to help students gain knowledge of high-level engineering software programs through SDL while satisfying ABET outcome 7 to “acquire new knowledge.” c. References [3 – 6] detail various senior capstone projects whereby groups of students are partnered with industry and faculty to solve large, complex engineering problems. d. Reference
makessense mid-semester.Remediation tools employed by busy faculty must be a) simple to use, b) require minimal extragrading burden or face-to-face meeting time, and c) compatible with the typical exam-basedinfrastructure that already exists in most courses. This work-in-progress aims to develop toolsthat maximize student impact while meeting these constraints. We seek feedback on the twointerventions described below.Intervention #1: student-generated screencasts.Faculty frequently assign students to watch supplemental or remedial videos [4]. The creation ofstudent-generated screencasts is less common, but previous work has found them effective[5]–[7]. The benefits of creating screencasts are intuitive. Synthesis is a higher level on Bloom’staxonomy
better learning the topic (range of responses: A:121 Strongly disagree, B: Somewhat disagree, C: Neither disagree, nor agree, D: Somewhat agree, E:122 Strongly agree)123 Q2: I _______________ my partner during the quizzes (range of responses: A*: Mostly learned124 from, B*: Occasionally learned from, C*: Neither learned from nor taught to, D*: Sometimes125 learned from and sometimes taught to, E*: Occasionally taught to, F*: Mostly taught to)126 Q3: Teaching the area of my weakness in the exam helped me better understand the topic (range127 of responses: A-E)128 Q4: Working on an open-ended project helped me better understand the topic (range of129 responses: A-E) © American Society for
Units Completed Points Grade 6 12 - 13 A 6 10 - 11 A- 6 8-9 B+ 6 6-7 B 5 9 – 10 B+ 5 6-8 B 5 5 B- 4 7-8 C+ 4 5-6 C 4 4 C
- R,G, and B values R,G, and B val- termine the number that is used to iden- ues that is used to of red skittles. tify the number of identify the number red skittles. Their of red skittles, but number of red skit- their number is not tles is similar to the similar to the true true value. value. 5Blue Skittle Students have gen- Students have gen- Students did not at- 1,2,3 erated a relation- erated a relation- tempt to use color ship between the ship between the relationships to de
: 𝑦 = 𝑓 −1 (𝑥) = log 𝑏 𝑥In addition, the base will only be represented with the variable “b”. It will not bereplaced with x or any other variable when solving exponential equations. Thissupplemental chapter aims to reinforce the identity of the variables x, y, and b andnot to interchange them.Both the exponential function with base e, 𝑦 = 𝑓(𝑥) = 𝑒 𝑥 , and the naturallogarithm 𝑥 = 𝑓(𝑦) = log 𝑒 (𝑦) = ln(𝑦) will be graphed. The latter will be plottedwith x on the vertical axis and y on the horizontal axis.The Supplemental Chapter Purpose (For Educators)The supplemental chapter is intended to present the exponential functions and theirinverse (logarithmic) functions in a clear way to help students understand twobasic
(seeAppendix).The results below, which detail the percent correct for each question and section (rather thaneach student’s overall score), may seem low compared to the student performance in the CCE1100 course assessments; however, given that (a) some of the questions contained more nuanced,and sometimes, more recent conclusions regarding the most effective forms of climate changeadaptation and (b) the instructor did not attempt to “teach to the test” (or survey, in this case), thenumbers still suggest that baseline climate literacy exceeds the average American’s knowledge.A comparison of the pre-module and post-module surveys reveals improvement in both areas ofclimate literacy, though the score increase was most pronounced in climate science
-Year Engineering Experience (FYEE) Conference: University of Tennessee in Knoxville, Tennessee Jul 30WIP: Using an Elevator Pitch Competition to Introduce Engineering Students to EntrepreneurshipIntroductionAn elevator pitch is a succinct description of a product or idea with the intention of allowing thelistener to review the main information in a brief period. An elevator pitch is aimed at creatinginterest in a project, product, or idea. Characteristics of a good elevator pitch include, a) concisebut persuasive, b) uses clear language, and d) highlights the specifics of the idea or product.The purpose of this project was to introduce first semester engineering students
intervening to try to resolve the issue presented.In the online webinar version, the “empty chair” exercise was replaced by a “debriefing” of thecharacters, in role. Characters took turns explaining to the audience how the actions of the othergroup members made them feel [2].This poster describes the Interactive Theatre Sketch activity for both in-person and virtualenvironments, identifies implementation challenges, and includes observations andrecommendations.References[1] J. T. Polzer, L. P. Milton, and W. B. Swarm Jr, “Capitalizing on diversity: Interpersonal congruence in small workgroups,” Administrative Science Quarterly, vol. 47, no. 2, pp. 296-324, 2002.[2] Pedersen, B. A., & Hensel, R. A., & Raisa, S. A., & Atadero, R. A
Kitty Hawk, NC (Fig. 2a)9 to the present(Fig. 2b)10 was added as an introduction to the project. The introduction was added in an attemptto stir students’ curiosity, and to motivate them to identify an opportunity for improvement inairplane design, specifically the landing gear assembly (Fig. 3)11.Figure 2. a, First flight in Kitty Hawk, NC; b, Modern airplaneFigure 3. Landing gear assembly ConnectionsIn a regular class, a student could work on his/her own or voluntarily form a 2-3 member team.In an EM class, teamwork was mandatory. At random, the instructor assigned every threestudents to a team. Due to a variable class size, one to two teams might have four members. Theproject grade for each member was subject to peer evaluation
attenuated light, the concentration of the sample was determined usingthe Beer-Lambert law [10].“What a color?”, a freely available software (available on the Android and iPhone platforms),was used to measure the RGB (red−green−blue) signals collected from the samples. A digitalimage is made up of pixels, and each color is a combination of RGB channels. Any point with anintensity for each of the RGB channels is proportional to the light absorbed/transmitted by thesamples.Figure 1. Schematics of: (A) sample preparation to study; (B) dye (drug) released from a potato andexpected release trend over time.A pixel took an integer value between 0 and 255 in each channel. By measuring the intensity ofthe attenuated light initially and at different time
)). Once the simulator is up running, connection can be established between this simula-tor to more than one MATLAB node. Figure 2 (b) shows that MATLAB running on two differentcomputers (the right two in (b)) can receive messages from the same simulated robot (the leftmostone in (b)). (a) On Mac via Boot Camp (b) Two Computers Both Connecting to Gazebo Figure 2: MATLAB-ROS-Gazebo.Project 1: Model-Based Fitting of Laser Scan DataThis project exposes students to fundamental sensing and perception routines, including the collec-tion of laser range sensor data, segmentation, and curve-fitting, as part of higher-level perceptionprocesses. This project is performed on the MATLAB-ROS-Gazebo platform
0 Logic NOR 1 0 1 1 Logic NAND 1 1 0 0 Logic XNOR 1 1 0 1 Comparison of A > B 1 1 1 0 Comparison of A = B 1 1 1 1These instructions can be grouped into two primary categories: arithmetic operations and logicoperations. We have demonstrated the functionality of these operations in a video featuring theDE2 board [8], and additional details regarding the I/O interface are shown in Fig.1. The yellowlabels indicate the switches used for inputs, the displays of the
survey results for womenundergraduate and graduate students were the same as men for nearly every measurement scaleat the beginning of the semester (Fig. 2). The only difference was that women perceived theirgender as less compatible with engineering at both the undergraduate and graduate levels.Additionally, there was minimal difference between the two undergraduate cohorts at thebeginning of the semester with only a slight increase in sense of belonging in the fall 2022semester (Fig. 2C).Figure 2: Baseline Data at the Beginning of Each Semester. (A,B) Scores for each scale forundergraduate students in (A) fall 2021 and (B) fall 2022. (C) Comparison of baseline scores forundergraduate students between fall 2021 and fall 2022. (D) Scores for
A Timepoint Timepoint Timepoint TimepointFigure 2. Pairwise comparisons of Question 1 concept map metrics between two timepoints.Arrows represent differences between individual students, and bars show the average valueacross all students. ****p<0.0001 by two-tailed paired t-test; n=53 studentsReferences[1] D. P. Ausubel, The psychology of meaningful verbal learning. Oxford, England: Grune & Stratton, 1963.[2] J. D. Novak and D. B. Gowin, Learning How to Learn. Cambridge: Cambridge University Press, 1984. doi: DOI: 10.1017/CBO9781139173469.[3] W. Zwaal and H. Otting, “The Impact of Concept Mapping on the Process
examine a number of mechanical engineering courses at [university] that are project-basedlearning extended design-based courses that have the creation of an artifact of some engineeringcomplexity. The students are similar enough across the courses as Master’s students inMechanical Engineering (and have some students taking both courses) but also have differenttypes of emphasis on developing technical solutions and solutions that are designed astechnology that appropriately addresses a latent need for a group.ME 200 A-B-C (a pseudonym) and ME 301 A-B-C (a pseudonym) are both examples of coursesequences in design that leverage a project-based learning approach to allow students to divedeeply into designing and building functional systems of some
the value and impact our community’sresearch efforts are having. Implications we have identified for future research include thesystematic review outlined above, perhaps supplements with a survey of past student or analysisof the downloads of our institution’s BIM publications from the university’s digital repository, asevidence of impact.References[1] Mohammed, M., Shafiq, N., Al-Mekhlafi, A. B. A., Al-Fakih, A., Zawawi, N. A., Mohamed, A. M., ... & Al-Nini, A. (2022). Beneficial Effects of 3D BIM for Pre-Empting Waste during the Planning and Design Stage of Building and Waste Reduction Strategies. Sustainability, 14(6), 3410.[2] Evans, M., Farrell, P., Mashali, A., & Zewein, W. (2021). "Critical success factors for
electrode array 5 cm to the right(Figure 3b), resulting in a matrix of results. The Styrofoam void was located on center 25 cmalong the first profile and extended 5 cm in x-y directions (Figure 3a,b). CST1 a. STA 1 STA 2 STA 3 STA 4 STA 5 CST2 STA 6 b. STA 1 STA 2 STA 3 Figure 3: CST along various dashed profiles STA 4 (a,b) intercepting a void (shaded) buried
/uploadingdeliverables on time, 4) CAM tool path definitions in part file, and 5) individual contribution.Each category was graded as passed or failed, and the overall project grade was determined bythe number of categories passed (Tab. 5). Table 5: Grading for Project 2 # Passed Score ≤1 F (50% or 0%) 2 D (63%) 3 C (75%) 4 B (87%) 5 A (100%)Project 3: Advanced Feature ExplorationStudents are often interested in advanced modeling features that time constraints prevent
RESULTSBackground: Transmembrane proteins (TMEMs) such TMEM67 is known to cause a b d Human caudate nucleus
made up of a collection of subparts instead. Theseconceptual-building-block subparts (subquestions) are then subsequently graded by onlyevaluating the final answer. This two-step methodology is further detailed below: Step 1 - Problem construction a. Design a traditional problem-based constructed-response problem, which tests a set of concepts within a single problem writeup. We will refer to it as a “holistic” design (to contrast it to our new design). b. Create the grading rubric for this holistic problem. Considering where one assigns partial credit will pull out the core concepts the problem is assessing. If necessary, break these down further until each carries the same weight in the grading
not a variable for the remaining phases [18]. As presented in Table 1, thefive criteria from the rubric show room for growth in those written communication components.Using Tutor-led Support to Enhance Engineering Student Writing for All TABLE 1 AAC&U RUBRIC SCORE DESCRIPTIVE STATISTICS FOR BASELINE STUDENT REPORTS All Campus A Campus B Campus C Campus D Campuses (N = 22) (N = 19) (N =38) (N =13) (N = 92)Criteria M SD M SD M SD M SD M SDContext of and Purpose 1.65 .767
(Imp): 5.26 (A) ● Voltage Open Circuit (Voc): 21.82 (V) ● Short Circuit Current (Isc): 5.55 (A) (a) Solar panel (b) Charge controller (c) Battery (d) Converter(e) Wireless Notecarrier Pi Hat (front and back) (f) Wireless Notecard (g) Camera (h) Radar Sensor (i) Matrix Display (front and back) (j) Bonnet (k) Raspberry Pi Figure 2. Electrical components.12V/24V 30A Solar Charge Controller (Figure 2-(b)): This charge controller is compatible with12 (V) and 24 (V) systems