STEM educational experiencefor their students. Future work will involve the development of a framework for course design andimplementation that may prove useful for other rural school districts seeking to launch similartypes of projects.AcknowledgementThis material is based upon work supported by the National Science Foundation under Grant No.1949454. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the authors and do not necessarily reflect the views of the National ScienceFoundation.References[1] National Academy of Sciences, National Academy of Engineering, & Institute of Medicine,“Rising above the gathering storm: Energizing and employing America for a brighter economicfuture
– [if I built a new component, is there a photo in my PME?]2. New Assignments - new tasks assigned for next week • Person A – [these should be individualized and specific – assignments should represent 3-6 hours of work – realizing other tasks like attending this meeting are part of the 4-6 hours/week expectation] • Person B – [if a task is a two-person job, be specific about who they will work with, Joe and I will build the test frame] • Person C – [as above use actual names not “Person C”] • Person D – [Sue and I will build the test frame] • Person E – [attending this meeting, doing the individual report, and writing reflections are not project work assignments]If you are working on a project report
models lacks thepotential of incorporating communication skills and encouraging self-reflection [3]. Thus, thesetraditional methodologies fail to associate the sought-after engineering skills with practicalapplications, which impedes the role of engineering education in preparing students for their futurecareers [4].This issue led educators to adopt project-based learning methodologies that reinforce the students’engineering skill sets and enhance their learning experience. Educators started incorporatingmodern courseware, like modular engineering demonstrators, into the engineering educationcurriculum [5] [6]. They started using modular demonstrators as pedagogical tools in coordinationwith traditional techniques to improve the students
design section covers concepts from basic circuits, transmission line, fields andwaves, and their applications courses taken in sophomore and junior year. Both undergraduate andgraduate student groups have a basic knowledge of these topics. The following subjects arediscussed to provide a deeper understanding. i. Basic EMC concepts (two classes): EMC definition; basic four coupling mechanisms; EMC problems on printed circuit boards (PCBs); EMC standards. ii. Transmission line basics for EMC (three classes): Transmission line parameters and equations; transmission line loss; transmission line on the non-ideal ground; reflection at the discontinuity (including resistive discontinuity and reactive discontinuity
Response and Feedback QuestionsPlease reflect on your haptics and visualization learning experience and answer the followingquestions. The answer scale ranges from 1-7 where 1 = not at all true of me and 7 = Very true ofme. 1. I liked learning about the AFM using haptics and visualization. (1-7 scale) 2. I would prefer to learn about the AFM using the haptics and visualization as opposed to traditional text and graphics. (1-7 scale) 3. I learned the necessary material using haptics and visualization. (1-7 scale) 4. How did using haptics and visualization you received facilitate or detract from your learning? 5. Any feedback or additional comments?Appendix E: Feedback Responses How did using haptics and visualization you
-defined problems to besolved in this project. About two months before the beginning of the project, we communicatedwith the HFB, selected agencies, and visited some agency locations. As mentioned in thepreparation stage, HFB was involved to define the scope of the project, editing necessarydocuments to reflect current initiatives and goals, provided information of their agencies. Tolisten to the community’s voice, we selected the appropriate agencies to do this project. Wescheduled communications with agencies via zoom meetings or visited some agencies to listen totheir voices. To ensure that communication remains open and consistent, we selected a managerin HFB as a communication liaison, connecting agencies, HFB, and us.Decided on data
, findings, and conclusions or recommendations expressed inthis paper are those of the authors and do not necessarily reflect the views of the National ScienceFoundation.References[1] President’s Council of Advisors on Science and Technology, Engage to Excel: ProducingOne Million Additional College Graduates with Degrees in Science, Technology, Engineering,and Mathematics, 2012. Available:https://obamawhitehouse.archives.gov/sites/default/files/microsites/ostp/fact_sheet_final.pdf.[Accessed Jan. 30, 2022].[2] STEM Center USA website. Available: https://www.stemcenterusa.com/. [Accessed Jan. 30,2022].[3] Texas Education, University of Texas at Austin website. Available:https://stemcenter.utexas.edu/. [Accessed Jan. 30, 2022].[4] University of Houston
toward data science and data analysis. The clustering of computing attitudesand data analysis attitudes together is interesting. The second factor included the items fromEPRA related to social responsibility, primarily the items from the professional connectednessrealm. The third factor included items related to data science extrinsic value perceptions(employability). The fourth factor included professional ability items from EPRA and self-ratedabilities related to computing skills. It was somewhat unexpected that students’ self ratingabilities across these very different areas clustered together but perhaps reflect overall self-confidence (and in some cases Duning-Kruger effect). The fifth factor included the majority ofthe ‘importance of
experience – Remote learning does not have any effect on the way I grade student assignments and examinationsIn total, we received responses from 338 participants, which involved 240 students and 98instructors. Figure 2 describes the distribution of students according to majors. Figure 1 showsthe statistics of our student participants. In Figure 1a, we evenly involved the students with alllevels including freshman, junior, sophomore, senior undergraduate students, and graduatestudents. As shown in Figure 1b, 66.3% of student participants are female. Our survey resultstend to reflect the opposition of STEM female students. In Figure 1c, we can see that 41.7% of Sophomore Graduate 24.2% 16.7
, enhancesengineering/STEM identity, and fosters innovation is critical. Meaningful partnerships betweenindustry and academia have the potential to both increase the talent pipeline and better preparethe workforce of the future.AcknowledgementsThis workforce product was funded by a grant awarded by the U.S. Department of Labor’sEmployment and Training Administration. The product was created by the recipient and does notnecessarily reflect the official position of the U.S. Department of Labor. The Department ofLabor makes no guarantees, warranties, or assurances of any kind, express or implied, withrespect to such information, including any information on linked sites and including, but notlimited to, accuracy of the information or its completeness, timeliness
entrepreneurship competitions, is positively associated with ESE,which may have significant effects on one’s entrepreneurial career choice [6]. Thus,we propose the following hypotheses:H1: Entrepreneurship competitions have a positive influence on EI.H2: Entrepreneurial competitions have a positive influence on ESE.Entrepreneurial Self-efficacySelf-efficacy represents a person’s belief that they can successfully perform a giventask [7]. The concept of self-efficacy was introduced into the field of entrepreneurshipresearch as an important variable for predicting entrepreneurial behavior. This conceptwas redefined as ESE, which reflects the degree to which a person believes that theycan successfully start a new business venture [8]. Previous research
reflect that students found the new labmanuals easier to follow, which provided clear guidance to the students on how and where todocument their experimental and/or simulation results.This demonstrates that our task 1 strategy is successful and implementing lab-specific customized‘datasheets’ are highly effective in providing better guidance to the students. Q3 and Q4 responsesindicate that students subjected to the new lab resources had more clear ideas about the labobjectives and what to do in the lab before coming to the in-person lab sessions. This demonstratesthat our task 2 strategy worked well, which integrated LTspice-based pre-labs that played helpfulrole in preparing the students. Strategically designing pre-labs with LTspice
programs are needed toprovide students with exposure opportunities to support student motivation in specific areas ofmicroelectronics. Limitations of the study include the limited variance in sample demographics. Datacollection was limited a singular predominately White, large research institution. With the resultsfound, it is unknown how well the scale reflects the motivation and exposure of raciallyminoritized students. However, the items performed strongly with the original instrumentindicating that the factor structure is likely stable. Additionally, the evaluation of the Motivationand Exposure scales is within the context of an introductory design course therefore the difficultyand discrimination parameters should be evaluated with
the success of the redesigned courses.IntroductionNew York City College of Technology (City Tech), located in downtown Brooklyn, is anopen access, non-residential, Hispanic-Serving institution. City Tech, one of the twenty-five colleges in the City University of New York system, provides a diverse multiculturallearning environment, reflecting the demographic diversity of the New York metropolitanarea. According to the Fall 2020 institutional data, twenty-nine percent of the students self-identified as Black non-Hispanic, thirty-four percent as Hispanic, twenty percent as Asian, tenpercent as White, two percent as Other and five percent as Non-Resident. The student bodyreported 151 different countries of origin. Sixty-one percent reported
, 0.472, 0.000, and 0.084respectively. Since the values of Efficacy of 3D printing module, Robotic machine operationskills, Data Preparation Programming skills, and currently working in the construction industryare less than 0.1, it can be concluded that the hypothesis pertaining to the existence of the truerelationship between dependent and independent variables is correct. Thus, the data isstatistically significant. In Table 1, 𝞵1 is the coefficient of the ordered probit model with thevalues -1.19. This value is the threshold that reflects the predicted cumulative probabilities atcovariate values of zero. Based on the obtained results of regression analysis, there is a positivecorrelation between the efficacy of the 3D printing module and
.[15] N. Kellam, T. Costantino, J. Walther, and N. Sochacka, “Uncovering the Role of Emotion in Engineering Education within an Integrated Curricular Experience,” in 2011 ASEE Annual Conference & Exposition Proceedings, Vancouver, BC, Jun. 2011, p. 22.1560.1-22.1560.11. doi: 10.18260/1-2--18819.[16] I. M. Gómez-Chacón, “Meta-emotion and Mathematical Modeling Processes in Computerized Environments,” in From beliefs to dynamic affect systems in mathematics education, B. Pepin and B. Roesken-Winter, Eds. Cham: Springer International Publishing, 2015, pp. 201–226. doi: 10.1007/978-3-319-06808-4_10.[17] J. Swenson et al., “Consideration for Scaffolding Open-ended Engineering Problems: Instructor Reflections after
; d) sensitivity of circumstances surrounding studentsduring COVID-19. The combination of experiential knowledge, post-course reflection andscholarly literature provided a framework through which the model was modified andimplemented.Modified CIRE Strategy 2For this modified strategy, rather than initiating homework sets during the lecture sessions, asestablished in the CIRE model, step-by-step examples were performed during lecture sessions tostrengthen the intuitive nature of solving technical problems. This procedure was enforced topromote problem solving skills during homework sets, rather than students having to depend onthe faculty instructor to initiate problems repeatedly. The step-by-step examples performed duringclass covered major
supportmodels. We plan a future study with think-aloud interviews to explore how individual studentsmake use of the models in their learning effort.AcknowledgementThis material is based upon work supported by the National Science Foundation under grantnumbers DUE #1834425, 1834417 and 2022412. Any opinions, findings, and conclusions orrecommendations expressed are those of the authors and do not necessarily reflect the views ofthe NSF.References[1] P. S. Steif and A. Dollár, "Reinventing the Teaching of Statics," International Journal of Engineering Education, vol. 21, no. 4, pp. 723-729, 2005.[2] A. Dollár and P. S. Steif, "Learning modules for statics," International Journal of Engineering Education, vol. 22, pp. 381-392, 2006.[3] J. Lesko, J
country and has been designated a Hispanic Serving Institution(HSI) by the U.S. Department of Education. Within the fall 2019 cohort of first-time-in-college(FTIC) freshman, 50% of the 5,682 students identified as either African American, Hispanic, ormultiracial (44% for STEM). The UH student body also reflects diversity in student economicstatus. In the fall of 2019, 45% of FTIC students were Pell-eligible. Within STEM, 37% ofEngineering, 39% of NSM, and 52% of Technology students were Pell-eligible. Approximately94% of UH FTIC undergraduate students receive financial aid from federal and state sourceswith an average aid amount of $7,061 per year. The average annual cost of attendance (COA) atUH (tuition + fees) for FTIC in-state students is
combination) return the one with the best rating. This rating can be provided by the feedback system in O2. Since users’ ratings can reflect content- relatedness, choosing the best rating will contribute to O3.O4 Maximize compatibility We aim to expand the compatibility to include more types of browsers, like Google Chrome, Safari, Firefox etc.O5 Implement an algorithm that For example, if a user uploads a note file can look into files and break of a lecture 3 that covers two topics
graduates.Furthermore, our experience prompts questions about Construction Capstone Courses in generalfor future reflections: First, is what we are teaching in the capstone course enough forconstruction companies? Second, what are the primary skills that the construction companiesare looking for? Third, do our students know how to express their opinions in a meeting, write areport, make a presentation, work in a team, and finally, know about ethics and compliance?Further studies could explore an updated analysis of key competencies (from industry andacademics) used in capstone simulations; and a broad study on construction students' writingand soft skills perceptions and performance. Both studies could help guide improvements ininstruction, specifically at the
general, when a tensor of rank r > 1 operates on atensor of rank p < r, the result is a new tensor of rank r − p.The algebraic and geometric approaches are mathematically equivalent in that they yield the samecomputational results and it is straightforward to deduce the transformation rule (1) from thegeometric definition [3]. It is perhaps a reflection of human psychology, then, that the academiccommunity has become so staunchly divided between the two approaches. Indeed, the rift datesback to the formulation of relativity theory. According to Norton [12], In Einstein’s hands, Lorentz covariance was a purely algebraic property. Space and time coordinates were, in effect, variables that transformed according to certain
forpartner schools over Zoom and through occasional site visits from members of the projectleadership team. Each partner institution will develop a dynamic OAP, which will be woven intoour interactive workshops and supported in coaching sessions. A Women of Color (WOC)Council and a DHH Women Council have been established within the project and will provideinput and feedback to inform workshops and materials. Each council has established terms ofreference, a dynamic document created with project leadership that sets expectations andresponsibilities for the council and for project leadership.In future papers, we will report on project activities, outcomes, impacts, and reflections from keyproject personnel.Next StepsThe roll-out plan for the project
stored and will be able to answer questions about the water’s clarity and potentialstagnation. The three probes are for measuring temperature, dissolved oxygen content, and pH. Theseproperties reflect the quality and condition of the body of water and are important fordetermining if the water is able to host mosquito breeding. Moreover, for a water samplingpump, a stepper motor is used and it is operated as a part of a peristaltic pump. In order tooperate the pump, additional Arduino Nano is used. For motors, Propdrive 2836 brushless motors were chosen to provide sufficient power to liftthe drone and its payload. This decision on motors is related to the choice of 40A ESCs (ESCElectronic Speed Controllers). Some other peripherals we have on
timeframesestablished by the institution. Identifying student progress and outcomes for learning andteaching has long been a source of contention. Outcome-based education models emphasizestudent learning through actions that reflect competencies in the use of skills, content, ideas,information, and tools [18], [20]. This model differed from the traditional model in that it wasmore focused on students than on teaching methods and delivery systems. For example, in anoutcome-based model, teaching methods change dynamically in response to the student's skilland abilities rather than a fixed timeframe and schedule.Competency-based Education (CBE) Model is the next step in this movement [18]. CBE isdefined in a variety of ways by various researchers. Le Wolfe and
practices, and the status of their knowledge and skills inthis area. Our survey did not receive enough responses from faculty members for such analysisalthough we did reach out through new faculty training and professional meetings and massemail. The authors suggest this lack of interest may reflect the ongoing difficulty of raisingawareness about accessibility concerns among faculty at large. In the future, we plan to developmaterials and example modules to help faculty adopt UDL design principles in their coursesusing practices adapted from [18]. For example, there will be in-built accessibility surveys inLMS to onboard students with university provided accommodations as well as assess the needsof students who may need accommodations but do not
. Class contents were arranged in Mentimeter as shown in Fig 1, where theoreticaland practical contents were explained by the teacher and rehearsed by students withpractice questions and exercises, anonymously answered by the students.Fig. 1 Screenshots of real time interactive presentation and anonymous collaboration methodologyAs a strategy to trigger class participation, students solved exercises anonymously, sharingtheir answers and reflections with their classmates using the online platform. After eachexercise, teacher provided feedback and anonymous questions were collected, again toencourage students to clarify concepts and solve doubts without feeling intimidated byasking in front of their peers.Moreover, during the content delivery
under Grant No.2000448. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the authors and do not necessarily reflect the views of the National ScienceFoundation. ReferencesBerry, A. N., & Yarbrough, J. R. (2019). Online commentary regarding workplace harassment. Journal of Organizational Psychology, 19(6), 107-124.Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative research in psychology, 3(2), 77-101.Charmaz, K. (2005). Grounded theory in the 21st century: A qualitative method for advancing social justice research. Handbook of qualitative research, 3, 507-535.Chawla, N., Wong, E. M., & Gabriel
undergraduate degree in Computer Engineering at Case Western Reserve University and went on to work for General Electric Transportation as a part of their Edison Engineering Development Program. In 2020, Jeremy completed a Master's in Computer Science and Engineering under Dr. Atiq and is currently completing a PhD in Engineering Education under Dr. Dringenberg. His research interests include exploring ideological beliefs as a reflection of tech culture. In his free time, he enjoys watching hockey, writing about programming languages, and playing video games.Tyler Milburn Tyler Milburn is a PhD Candidate in Ohio State's Engineering Education program. His dissertation research focuses on how student motivation to persist in
success and increase interestin microelectronics, with potential application for other niche fields. Although the integration ofa novel context in existing course content is an accepted practice in engineering education itwould be interesting to see how this works in FYE programs with fields outside ofmicroelectronics.AcknowledgementsWe acknowledge support from the U.S. Department of Defense [Contract No. W52P1J2093009].Any opinions, findings, and conclusions or recommendations conveyed in this study are those ofthe authors and do not necessarily reflect the views of the Department of Defense.References[1] S. Tzanova, “Microelectronics skill alliance – Need analysis of microelectronics sector,” 2021 12th National Conference with