, vol. 57, no. 3, pp. 192-206, 2022.[7] B. Mann, W. Li, and K. Besnoy, "Digital Divides: K-12 Student Profiles and Online Learning," Education Policy Analysis Archives, vol. 29, no. 112, p. n112, 2021.[8] S. J. Aguilar, H. Galperin, C. Baek, and E. Gonzalez, "When school comes home: How low-income families are adapting to distance learning," 2020.[9] S. J. Aguilar, "Guidelines and tools for promoting digital equity," Information and Learning Sciences, vol. 121, no. 5/6, pp. 285-299, 2020.[10] A. Perrin and E. Turner, "Smartphones help blacks, Hispanics bridge some–but not all– digital gaps with whites," 2019.[11] M. Anderson and M. Kumar, "Digital divide persists even as lower-income Americans
such further processes enables students to access the highestlevels of cognitive processes in Bloom’s taxonomy, by enabling designing and constructing anovel device.References1. Harrington, C. and T. Zakrajsek, Dynamic lecturing : research-based strategies to enhance lecture effectiveness. First edition. ed. The excellent teacher series. 2017, Sterling, Virginia: Stylus.2. Freeman, S., et al., Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences - PNAS, 2014. 111(23): p. 8410-8415.3. Golter, P., B. Van Wie, and G. Brown. Comparing Student Experiences And Growth In A Cooperative, Hands On, Active, Problem Based Learning
examinedfour cohorts of students for three semesters: (a) fall 2018 sophomore students, (b) fall 2019sophomore students, (c) fall 2018 junior students, and (d) fall 2019 junior students. Thesophomore and junior students’ persistence was tracked over a period of three semesters— thusthe pre-COVID-19 cohorts (i.e., fall 2018 cohorts) did not have their education disrupted overthis time frame (fall 2018 to fall 2019) by COVID-19 while the COVID-19 cohorts (i.e., fall2019 cohorts) did have their education disrupted in spring 2020. Next, due to our large sample,we were able to break down and examine student persistence rate by student demographic groups(i.e., gender, financial need, first generation status, and race/ethnicity).Plan of Analysis We
under extreme weather and environmental conditions [1]. The most criticalstep to this goal is the intrinsic and extrinsic calibration of the TIC. Proceedings of the 2023 ASEE North Central Section Conference Copyright © 2023, American Society for Engineering Education 1This study utilizes Teledyne FLIR’s PathFindIRTM II IR camera, as shown in Fig. 1(a), as well asthe electronic control Unit (ECU), shown in Fig. 1(b). The camera outputs an NTSC signal to theECU, which produces a captured video stream with Pedestrian Detection/Animal Detection(PD/AD) function. The analog video signal with PD/AD is then fed to a monitor through a BNCto S-video adaptor. A 12 V DC external voltage source powers
publication.AcknowledgementThe authors would like to appreciate the financial support from the National Science Foundationvia award #2107140, # 2110760 and the Department of Energy via award DENA0003987, alsothe RISE grant from the Research & Innovation at Prairie View A&M University.References[1] J. Lee, B. Bagheri, and H.-A. Kao, "A cyber-physical systems architecture for industry 4.0-based manufacturing systems," Manufacturing letters, vol. 3, pp. 18-23, 2015.[2] Y. Huang, M. C. Leu, J. Mazumder, and A. Donmez, "Additive manufacturing: current state, future potential, gaps and needs, and recommendations," Journal of Manufacturing Science and Engineering, vol. 137, no. 1, 2015.[3] B. Motyl, G. Baronio, S. Uberti, D. Speranza, and S
well they felt fundamental topics related to course outcomes were achieved. B. The level of benefit that the hands-on activities provided in helping to learn each fundamental topic outcome. C. How well they felt the applications related to course outcomes were achieved. D. The level of benefit that the hands-on activities provided in helping to learn each application outcome. E. Open-ended questions related to the structure, contents, and projects in the course.Responses for sections A – D in the survey were in the form of 5-point Likert scale values. Insections A and C, students rated the level of achievement for each listed outcome with 1 -outcome not achieved at all, 2 - outcome only slightly achieved, 3 - outcome
if a person is identifiedaccurately. Furthermore, the performance test demonstrated that the current prototype recognizesup to 137 faces in the uploaded image and responses within 1 second when recognizing less than20 faces.The acceptance survey results of using the application in terms of the students’ comfortabilityabout the potential personal privacy problems and improving learning environment in terms ofengagement and willingness to engage in asking and answering questions during lectures werecollected from 40 students. Appendix B provides details of the survey and its results.In the survey, students where asked “Are you comfortable with your name being called in classby instructor?”. Figure 4(a) shows the outcome of this question where
arediscussed.1. Introduction1.1 Overview and Scope of the Interest in Engineering StudyResearchers in Engineering Education at J. B. Speed School of Engineering at the University ofLouisville (UofL) are in the preliminary stages of a multi-year study aimed at exploring theeffectiveness of a formal, makerspace-based course in increasing engineering retention amongfirst-year undergraduate, engineering students. Specifically, the study explores the impact of theinterest-in-engineering (IIE) construct on engineering student retention by examining howstudents’ experiences in a formal makerspace-based course can influence their interests in coursefeatures and engineering in general. The aforementioned makerspace course is titled EngineeringMethods, Tools
in the U.S. Navy as a nuclear propulsion officer and leader of the Reactor Electrical division on the aircraft carrier USS John C. Stennis. Matt is an honors graduate of the U.S. Naval Nuclear Power School and holds a B.S. in Mechanical Engineering from Northwestern University, a Master of Engineering Management from Old Dominion University, and a Ph.D. in Mechanical and Aerospace Engineering from the Illinois Institute of Technology. ©American Society for Engineering Education, 2023S T E M-b a s e d U nive r sity P at h way En c ou r a g ing Relationships with Chicago High schools in Automation, Robotics and Green Energy
literature suggests that engineering activities can provide a meaningful context forlearning math [e.g., 2,3] – a practice that is recommended by the National Academy ofEngineering [4] – and that engineering-based curricula can positively influence: a) students’STEM content knowledge, b) their appreciation of STEM fields’ interconnectedness, and c) theirattitudes towards STEM careers [5-13]. Interdisciplinary STEM approaches can also beleveraged to inform students about engineering, a field that is not widely understood by K-12students [14]. While engineering curricula that clearly improve students’ math comprehension doexist (such as earthquake vibration modeling in a pre-calculus class [10]), some studies suggestthat engineering coursework has a
. 8[5] L. L. Layne, S. L. Vostral, and K. Boyer, Feminist technology, vol. 4. University of Illinois Press, 2010.[6] F. Bronet and L. Layne, “Teaching Feminist Technology Design,” Fem. Technol.[7] J. A. Leydens and J. C. Lucena, Engineering justice: Transforming engineering education and practice. John Wiley & Sons, 2017.[8] C. B. Aranda Jan, S. Jagtap, and J. Moultrie, “Towards a framework for holistic contextual design for low-resource settings,” 2016.[9] K. Shilton, J. A. Koepfler, and K. R. Fleischmann, “Charting sociotechnical dimensions of values for design research,” Inf. Soc., vol. 29, no. 5, pp. 259–271, 2013.[10] D. A. Norman and P. J. Stappers, “DesignX: complex sociotechnical systems
was rejected due to administrativeconcerns with respect to finances, curriculum approval process, catalog changes, and compatibility fortransfer students. The current Graphics and Programming courses are offered by another unit in theCollege of Engineering, General and Basic Engineering, and articulation agreements are in place withtheir course designators. The department chairs in ME and GBE, along with college administration, wereconcerned about how the ME department would be able to staff the new courses and with what fundingfor the requested four TA and ten peer mentors. College leadership proposed an alternative plan.Implementation Plan B: In spring 2022, a compromise was made to offer a pilot version of the twocourses during the Fall
second and third-year students andnearly 50% of fourth year students also agreed their instructor explained the design process in anew way, indicating that students are not receiving consistent instruction on the engineeringdesign process across the curriculum (Q9 results).Faculty SurveyThe faculty of the ME program completed a survey to assess and summarize how the designprocess is currently being taught across the curriculum. The ME faculty is comprised of 7 full-time faculty members, 6 tenured or tenure-track and one lecturer. All faculty memberscompleted the survey (Appendix B). The results of the survey are summarized in Table 4.The ME program at UVU includes 23 mechanical engineering courses; 20 of these are corerequirements and 3 are
$724Example Quiz (Correct Answers in Bold) 1. What does PLC stand for? a. Proportional Logic Controller b. Proportional Ladder Controller © American Society for Engineering Education, 2023 2023 ASEE Illinois-Indiana Section Conference Proceedings c. Portable Logic Computer d. Programmable Logic Controller2. To implement a logical AND in ladder logic put contacts: a. On different rungs b. In feedback c. In series d. In parallel3. To implement a logical OR in ladder logic put contacts: a. On different rungs b. In feedback c. In series d. In parallel4. How can you tell how many valve positions a pneumatic valve has? a. Arrows on the valve
collected regarding retention rates of STEM and Engineeringand Computing students showed that approximately (a) 17 percent of students that started theirprograms between 2008 and 2014 were not retained after their first year, while 8 percent ofstudents that started their programs on the following years were not retained after their first year;(b) 28 and 15 percent, respectively, after their second year; (c) 35 and 21 percent after their thirdyear; (d) 40 and 22 percent after their fourth year; and (e) 41 and 22 percent after their fifth year.This research proposes several strategies and best practices including orientation programs, earlyacademic advising, peer-to-peer mentoring and tutoring, math review sessions/courses, earlywarning systems to
steps as outlined by the work of Borrego, Foster, and Froyd [19]on systematic literature reviews in engineering education. The steps include (a) identifyingresearch questions, (b) defining inclusion criteria, and (c) finding and cataloging sources withfour crucial review stages as suggested by the PRISMA flowchart [20].a.) Identifying Research QuestionWe aim to explore an overarching question: How has experiential learning been implementedwithin undergraduate engineering education for the last 25 years (1995-2020) that might informadvances in first-year engineering education?The PICO (population-intervention-comparison-outcome) framework from the National Institutefor Health and Clinical Excellence (NICE) [21] (Table 2) was used to clarify
discussions.Consider any arbitrary finite control volume across which work or heat transfer occurs. Split thefinite control volume into infinite grid points. Consider an infinitesimally small region in twodimensions, represented by grid point ‘x’, surrounded by four similar grid points, A, B, C and D,as shown in figure 1. Heat transfer to and from grid point ‘x’ occurs along arbitrarily chosendirections. The infinitesimal amount of heat transfer dQA through dQD occurs across the interfacesof grid points A through D respectively, over an infinitesimally small time interval. A dQA dQC
Paper ID #39335Identity-based Engineering Leadership Instruction: a ReflexiveInstruction Model and Its ImpactDr. Brett Tallman, University of Texas at El Paso Brett Tallman earned his doctorate in Engineering at Montana State University (MSU), with focus on engineering leadership identity. His previous degrees include a Masters degree in Education from MSU (active learning in quantum mechanics) and a B.S. in Mechanical Engineering from Cornell University. He comes to academia with over two decades of industry experience, including quality engineering with Toyota and managing his own consulting practice in biomedical
be systematically assessed and evaluated, withdocumented reflection and CI action items for implementation during the 3-years (2021-24). In asix-year period between ABET site visits, the plan is to have two iterations of the CI process tobe completed. Appendix (A-F) includes sample data for the assessment, evaluation, and CIefforts for the BS Electrical ET program.Strategy 2: Documented evidence of implemented action items (I a, I b) demonstrating that theresults of student outcome assessment and evaluation are systematically utilized as input for theprogram’s CI actions. This includes the assessment, evaluation, and CI efforts of the program forthe period, fall 2019 to summer 2022. The four constituents – faculty, students, IAB and
. More importantly, a consistent scale will better facilitate the calculation and comparison of average mean factor scores when the survey is implemented. 2. Several items can be improved with better rewording: a. Q18 - separate the terms “teamwork” and “collaboration” into individual items. This may help improve the item’s low discrimination index. b. Re-write negatively worded items to be the exact opposite, or antonym, of a positively worded item [83], thereby creating positive/negative item pairs. For example, positively worded item: “Engineering decisions are influenced by the societal context in which they take place”; negatively worded antonym: “Engineering
authors'institution. This paper details the application design, analysis assumptions, calculations,technical challenges encountered, development environment, and content development. The keyfeatures of the app are discussed, which include: (a) coordinate system identification andplacement, (b) automatic mapping of a stairs model in-situ, (c) creation of a virtual 2-dimensional staircase model, (d) object detection and tracking of people moving on the stairs, (e)image recognition to approximate people's weight, (f) overlays of virtual force vectors ontomoving people, and (g) use of a chromatic scale to visually convey the relative intensity of theinternal bending moment at nodes spaced over the length of the structure.It is the authors' intention to also
USAFA civil engineering program,and the approach could be a useful benchmark for other engineering programs.References:ABET. (2021, January 22). Criteria for Accrediting Engineering Programs, 2019 – 2020. https://www.abet.org/accreditation/accreditation-criteria/criteria-for-accrediting-engineering-programs- 2019-2020/.Abrica, E. J., Lane, T. B., Zobac, S., & Collins, E. (2022). Sense of belonging and community building within a STEM intervention program: A focus on Latino male undergraduates’ experiences. Journal of Hispanic Higher Education, 21(2), 228-242.Akili, W. (2007, June), A Practitioner ? Faculty Collaboration In Teaching Civil Engineering Design Paper presented at 2007 Annual
Mechanical and Aerospace Engineering at the Old Dominion University. Dr. Kaipa received his BE (Hons.) ©American Society for Engineering Education, 2023 Development of a SimEvents Model for Printed Circuit Board (PCB) Assembly ProcessAbstractIndustry 4.0 creates numerous opportunities while at the same time it imposes challenges toworkforce development to take full advantage of emerging technologies and processes that areenabling new era of manufacturing. One of the key enabling technologies is Digital Twin,which is a foundation of smart and flexible manufacturing. Digital twin provides severalcapabilities to engineers: (a) what-if analysis during design process, (b) predictive
?” Exams Exams were administered at the end of every Module (6-7 topics/class periods). Four questionswere randomly selected from each category for each exam at the end of each Module. For example,Module 1 cover topics a) Cartesian Motion b) Normal and Tangential Kinematics, c) Radial Kinematics,d) Constrained Kinematics e) Relative Motion and f) Linear Kinetics. Two questions on each topic (e.g Linear Kinetics) were programmed into Blackboard. A studentwould be randomly assigned one of those two problems with randomized numbers for certain variables.Another student would be randomly assigned the other problem also with randomized numbers. Eachstudent would solve their individual problem and enter their answer into the Blackboard
display the FRof the output [using vout(f = 1 kHz) as a reference] from 1 Hz to 3 MHz with 3 points per decade.This measurement is not automated. Data is collected by hand. Students change the signalfrequency and record the data from DSP for each frequency. Figure 4 shows the FR of thecircuit. The output signal begins to significantly roll off above 100 kHz. Dropping below the 3dB level between the 220 kHz and 460 kHz level. Students will repeat this measurement usingthe x10 feature of the scope and probes to see the affect that has on the output. a. b. Figure 4: The frequency response of the R2R circuit found in the second lab activity.Automation ActivityThe third lab reuses
to complete their degree within four years, or even abandon their education. The goal ofthis study is to identify some of the main reasons why undergraduate STEM students,particularly in Engineering and Construction Management programs, take longer to completetheir degree, or fail to graduate, and propose initiatives to support minority students incompleting their degree on time. To achieve these goals, this study: (a) identified the mainfactors contributing to this paramount problem from previous literature; (b) gathered andassessed data regarding students’ graduation rates from Florida International University (FIU),one of the largest minority serving institutions (MSI) in the U.S.; (c) administered a survey to 75Construction Management
focuses on three existing RedShirt programs embedded into the engineering colleges of threedistinct sites, all public universities located in the Midwest and West. Considering race and ethnicity,University A is not a predominantly white institution, instead it is over one-third Asian, one-quarterHispanic/Latino(a), one-fifth White, 4% African American, and almost 12% International students acrossundergraduate enrollment. University B includes a larger fraction of White students at 36%, but sizableenrollments of Asian students (23%), International (15%), Hispanic/Latino (9%), Southeast Asian (6.7%)and African American (4.5%). Finally, University C is truly predominantly White with over two-thirds ofundergraduate students reporting as White (66
stages: (a) High school(HS) and the transition to postsecondary education (PSE); (b) PSE experience and the transitionto the workplace, and (c) workplace experience. For each life stage, we have organized theinformation under the following four categories based on the elements in the Social CognitiveCareer Theory: 1. Choice goals, choice actions, and performance and attainments, which are pathways- related outcomes 2. Learning Experiences and Contextual Influences 3. Self-efficacy, outcome expectations, and interests, and other individual factors 4. Person Inputs and Background Contextual AffordancesHigh school and the Transition to Postsecondary EducationPathway-Related OutcomesLiterature shows that high school students
their support. MethodsAn electronic data mining/learning analytics (EDM/LA) knowledge discovery cycle model (Romero &Ventura, 2020) is applied. EDM/LA is one type of knowledge discovery (KDD) in a databases processmodel. KDD is a process model that applies data mining methods to discover the knowledge pattern behindlarge databases (Fayyad et al., 1996). According to Romero and Ventura (2020), the EDM/LA processmodel typically includes the (a) education environment (e.g., face-to-face classroom education, andinformation system used (e.g., blackboard or gradescope), (b) education data (e.g., school, course, student),(c) processing the data (e.g., remove irrelevant variables, imput missing
reportedthe emotions they experienced were typical during the semester went from 34% to 76%. In Fall2020, participants reported their emotions as being typical around 50% of the time with a low of41% in Week 4 and a high of 53% in Week 14. Lastly, a majority of participants reported typicalemotions throughout Spring 2021 with the percentage increasing from 60% at the start of thesemester to 78% by the end of the semester. There was, however, a drop to 51% in Week 6.The percentages of participants that selected at least one positive emotion in each positiveemotion category are displayed in Figure 2. In this figure, half of the emotion categories aredisplayed on the top (Figure 2(a)) and the other half are displayed on the bottom (Figure 2(b