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
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
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
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
(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
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
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
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
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
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
, Peru, Poland, Senegal, Seychelles, Sierra Leone, Somalia, Sudan, South Africa South Sudan, Sri Lanka, Suriname, Swaziland, Syria, Tanzania, Thailand, Uganda, Uzbekistan, Vietnam, Yemen, Zambia, Zimbabwe). He has coordinated more than 200 training programmes and trained more than 15000 participants. He has developed and offered six MOOCS with a registration of more than 50000. He is serving as a reviewer for various journals and international confer- ences. Dr. Janardhanan has received fellowship and awards (a) UNESCO-IIOE - Special Prize Award - Online Video Competition (b) Sjngapore Cooperation Programme - Leadership course fellowship award (c) UNESCO Invitation to the Asia-Pacific Regional Seminar on MOOCs for
not know or unsure for each question. The survey questions were created from othersurveys used or found on easily accessible websites and common knowledge on basic financialknowledge, see Appendix B – Financial Literacy Survey Questions [22, 23, 24]. This surveywas given to all students in the seminar course and completed by all 25 participants prior to thefirst seminar on personal finance basics. In an attempt to gather data from a larger community,the survey was sent, after receiving Institutional Review Board (IRB) approval, to 366 studentsmajoring in engineering or computer science primarily in their second, third, or fourth years,none of these students had taken the seminar course. This survey was used in an effort to answerresearch
/ Digital Models and DemonstrationsThe models and demonstrations are described in this paper in the order they were introducedduring the ARCE 304 Timber Design Lecture course. Appendix A contains information onmaterials used for model fabrication, and Appendix B contains any handouts or lesson planswhich accompany the models. Digital model files are available upon request from the authors.Manufacturers also supplied donations and samples of engineered lumber and connectorhardware used in the course which are summarized in Appendix A.Material Property Demonstrations (Physical)Understanding the anisotropic nature of wood is critical to student’s appreciation for thedirectional differences in timber material properties when utilizing values from
teaching experience. This survey addresses the adjourningstage of Tuckman’s model after the delivery of the course (Appendix B). Co-development ofthese survey questions further affirmed the teaching team’s shared values and competencies.Evaluation of faculty perceptions of the impact of the collaborative course design programKirkpatrick’s Four-Level Model for evaluating training and learning programs [9] was used toassess the impact of this collaborative course design program. Kirkpatrick’s model haspreviously been used to evaluate a wide variety of training programs, including faculty focusedtraining [10]–[13]. Level 1 of the Kirkpatrick model, Reaction, measures how well received thetraining was by the participants and how applicable the
study but was intended to get the students thinking about these ideas and givethem a better grasp of how the Envision rating system and alternative PDMs interact. Finally, theauthors distributed the post-survey to capture students’ knowledge improvement through thesame multiple-choice questions. Furthermore, both the pre and post-survey asked the students toshare their agreement level on applying integrated design and alternative PDMs in SI projects.The post-survey also included questions that captured students’ feedback about the efficacy ofthe training. The detailed questionnaire used for the pre-and post-surveys were included in thisresearch's appendices A and B, respectively.The McNemar test was used in the study to examine the multiple
clock on the screen and announced the startingtime asking students to proceed. The proctor went around the tables, completing instructions forcertain groups as designed (appointing the leader for team C, right after the announcement ofstarting time, reminding the 2 minutes period for team B) and checking on instructions to befollowed. Some warnings were needed as some groups started to depart from instructions (i.e.,communicating in cases that were not allowed for).Table 1. Strategies for completing the word search by each group. Group Strategy A Every member works independently. No communication allowed B Group takes no more than 2 minutes to arrange for a plan. No communication after that time C A leader is
, B. E. (2002). Leaving the ivory tower: The causes and consequences of departure from doctoral study. Rowman & Littlefield Publishers.Lovitts*, B. E. (2005). Being a good course‐taker is not enough: A theoretical perspective on the transition to independent research. Studies in Higher Education, 30(2), 137–154.Miller, D. A., Artiles, M. S., & Matusovich, H. M. (2020). The Role of Writing Clusters in Minority Students’ Beliefs about Writing. Papers & Publications: Interdisciplinary Journal of Undergraduate Research, 8(1), 11.Sowell, R. (2008). PhD completion and attrition: Analysis of baseline data. Washington, DC: Council of Graduate Schools, 1–23.Sowell, R., Allum, J., & Okahana, H. (2015
]. In this way, the materials designers work with—as well asthose we offer learners—might be (a) unalterable; (b) used functionally but unchanged; or (c)modified dramatically in use [9]. This post-humanist stance brings attentions to the relationshipsbetween humans and non-human artifacts [10]. This approach decenters humans inforegrounding the agency imbued in materials by their creation and form [11, 12]. Decenteringhumans may seem a strange approach to take, especially in a study that aims to understandhuman learning. This decentering is intentional and in service of developing keener focus oninteractional relationships themselves, not just between humans as is common in such studies,but also between materials (or other nonhumans) and
inches Figure 4: CFD simulation results using SolidWorks flow for the design 2FabricationThe fabrication process for the designs involved dissolving ABS inside PDMS. ABS is amaterial that dissolves well in acetone, while PDMS is inert to the effects of it. The Tesla valvedevice was printed using a 3D printer with ABS as the filament. Approximately 0.25 in PDMSwas cast as a base layer so the ABS device would not sit on the bottom. The PDMS was mixed ata 10:1 ratio for parts A and B of the solution. The 3D-printed part was then suspended into theABS.After the part was suspended in the PDMS, it went into a vacuum chamber. This vacuumchamber, shown in Figure 5(a), created a vacuum for 5 minutes to remove any trapped gassesfrom the PDMS
. L., Zhu, X., & Hwang, T. (2015). Understanding the Construct of Maximizing Tendency: A Theoretical and Empirical Evaluation. Journal of Behavioral Decision Making, 28(5), 437-450.Ehlert, K. M., Rucks, M. L., B, A. M., Desselles, M., Grigg, S. J., & Orr, M. K. (2019). Expanding and Refining a Decision-Making Competency Inventory for Undergraduate Engineering Students. IEEE Frontiers in Education Conference (FIE).Godwin, A., Potvin, G., Hazari, Z., & Lock, R. (2016). Identity, Critical Agency, and Engineering: An Affective Model for Predicting Engineering as a Career Choice. Journal of Engineering Education, 105(2), 312-340.Holland, J. L. (1985). The present status of a theory of vocational
Individual Self-Efficacy Statements Statement Average Score Standard Deviation a) I will be able to achieve most of the goals that I have 4.09 0.69 set for myself in my engineering career. b) When facing difficult tasks in engineering projects, I 4.02 0.77 am certain that I will accomplish them. c) In general, I think that I can complete engineering 4.27 0.90 design projects that are important to me. d) I believe I can succeed at almost any technical task to