camera and lens combination are device dependent. Forinstance, in reflected-UV imaging, UV illumination reflects of an object and is recorded by aUV-sensitive camera. UV fluorescence imaging is based on the UV illumination that stimulatesfluorescence at a longer wavelength than UV excitation source. The resulting fluorescence andimage are typically in the visible band and can be captured by a color camera. These opticalsensing system specific results require high-definition cameras with multispectral sensitivities.Thus, it is critical to provide an integrated and efficient approach to address the variability of UVbased optical sensing systems.The objective of the research is to develop a new adaptive UV image processing algorithm totransform our
the manufacturingmetrics that had previously been defined for them. In this second video the assembly line runs andimportant metrics, like throughput and cycle time are demonstrated. Both videos are publiclyavailable on YouTube and are linked in this reference. [12]Finally, students were asked to reflect on this online lesson once they completed it. The reflectionquestions are presented in Table 1. Question # Question Text 1 How much did the videos help to improve your understanding of factory flows in general, and Little’s law specifically? In particular: 1a Which aspects of the videos were most helpful in improving your understanding? Please explain in detail. 1b Which aspects
break out rooms whenneeded to facilitate problem solving.Four semesters (fall 2019, spring 2020, summer 2020, and fall 2020) consisting of a total of 262 studentswill be analyzed. Fall 2019 and 60% of spring 2020 were taught according to pre-COVID-19 pedagogy.The remainder of the semesters analyzed were taught under COVID-19 conditions and pedagogy wasconverted from face-to-face to online format. A 15-question survey was used to evaluate problem-basedlearning through a five-level Likert scale: 1–not at all, 2–a little, 3–somewhat, 4–significantly, 5–a lot. Thissurvey was employed prior to and during COVID-19 restrictions. Instructor reflections on courseconversion, student engagement, and professor-student communication will be included in the
areas that thecapstone team and their peers had faced when taking the control systems course; namelyabstractness and continuity. As mentioned before, the architecture of the education tool features anoverarching real-world example of a system the student user is hoping to control. The real-worldexamples ultimately used in the tool are reflective of the engineering concentrations of the capstoneteam. The biomedical track used an example of controlling the glucose level within a human body;and the mechanical track used an example of controlling car speed. Figure 1. Screen capture of the track selection page Proceedings of the 2021 ASEE Gulf-Southwest Annual Conference
improvedstudent performance. In addition, the widely available digital course will prove most beneficialto the underserved populations with previously limited access to much of the knowledge andskills incorporated into this pre-college course.Included in this paper is a framework of concepts to be addressed in the course. ContentStudent skill and knowledge deficiencies are often observed in both academic preparedness andcollegiate life readiness through instructor observations and student self-reflections. As such,items in these areas need to be part of a college prep program to ensure that students are readiedon all fronts.Radcliffe and Bos re-inforce that “key dimensions for building college readiness
. Students were provided with a spreadsheet,shown in Figure 3 below, which they used to track their time (and other parameters) on varioustasks. Analyses of these data included: (i) identifying up to three aspects of their daily lives thatthe student wanted to focus on to look for any trends in the data or correlations between differentparameters; and (ii) interpretations of the weekly trends in the data. At the end of each week,students were required to write a one-page reflection on their usage of time, quality of time spenton various activities, and their analysis. Students were also encouraged to reflect on theirstrengths and weaknesses and strategies they would adopt to make changes or improvements. Proceedings of the 2021
completeness, has to think very carefullyabout how to select, organize, and articulate the content in a clear way – that is, in a way that minimizesthe potential for questions or the need for elaboration. As a result, I found that I needed to prioritize thecontent, pick out the more salient concepts, and then script the production in a way that develops andhighlights those concepts most effectively. Of course it seems obvious that this is what we should bedoing no matter how we are teaching, but the need for doing this, in my opinion, is amplified in this modeof delivery and has caused me to reflect on this issue in a more concerted and explicit way. As a result, Ifeel I was able to streamline and clarify the material in a much more focused way, at
is to support the concept ofdesign course scaffolding throughout the four-year engineering curriculum. The concept isillustrated in Figure 2. The freshman Design Graphics Collaboratory serves as a cornerstonecourse that is meant to reflect similar educational experiences that the students will eventuallyreceive in their senior capstone design course. In between, it is expected that they will receivesome intermediate design course experiences, based on their engineering major. Proceedings of the 2021 ASEE Gulf-Southwest Annual Conference Baylor University, Waco, TX Copyright © 2021, American Society for Engineering Education
classroom setting. In this paper,integrating problem-based learning (PBL) as an assessment tool in the EENG 3306 ElectronicsCircuit Analysis I course is discussed as a strategy to promote student engagement. This coursewas taught as an online and hybrid course at the University of Texas at Tyler, in both the Tylerand Houston campuses. The analysis of the data collected in the assessment reflect increasedstudent engagement and enthusiasm in the curriculum. IntroductionRecruiting, retaining, and engaging students in STEM disciplines have always been a majorconcern. As per the reports of the President’s Council of Advisors on Science and Technology(PCAST) [1], with the help of targeted funding programs for
on a bridge experiment Figure 8. Bridge Equilibrium ForcesStudent Surveys: A nine-question anonymous survey was distributed to the students to reflect on the success andeffectiveness of the course and identify areas for improvement. The collective results from 29students surveyed in 2019 and 2020 are displayed in Figures 9-17. Figure 9 Figure 10 Figure 11 Figure 12 Proceedings of the 2021 ASEE Gulf-Southwest Annual Conference Baylor University, Waco, TX Copyright © 2021, American Society for
theirinformation with the rest of the higher education community worldwide.Methods:For this paper, the author relied on a fully-online and synchronous teaching modality to gatherthe info written in this paper. Specifically, the modality was invoked for a graduate course withan enrollment of less than twenty students. For live lectures, Zoom was utilized. For everylecture, a recording of it was made and a document camera was used. The document cameralively showed the instant hand writings of the teacher regarding any explanations or notes. Theauthor also relied on personal reflection and internal comparisons between the perceivedplusses or minuses for full-online teaching versus in-person teaching.In addition, a survey mechanism was employed. Here a survey
diversity and equity, reflected in her publications, research, teaching, service, and mentoring. More at http://srl.tamu.edu and http://ieei.tamu.edu.Dr. Karan Watson P.E., Texas A&M University - Corpus Christi Karan L. Watson, Ph.D., P.E., is currently a Regents Senior Professor of Electrical and Computer Engi- neering, having joined the faculty at Texas A&M University in 1983 as an Assistant Professor. She is also serving as the C0-Director of the Institute for Engineering Education and Innovation. She has served in numerous roles at Texas A&M University, including: Provost and Executive Vice President(2009-2017), Vice Provost (2009), Dean of Faculties and Associate Provost (2002-2009), Interim VP for Diversity
© 2021, American Society for Engineering Education Session XXXXWe also had direct data from students experiences through weekly memoranda that students were requiredto write. The in-course purpose of the memoranda was for students to reflect on what they did each week,what they learned, and what goals they set for subsequent weeks. Examining these memoranda (Table 3)over the semester illuminates student experiences.Going through the timeline (weeks 1 through 15), themes do emerge. In weeks 1-3, the beginning of theproject period, students visited the temporary homeless camp. That camp could never become a permanentlocation due to poor road
, American Society for Engineering Education 83. B. S. Bloom, Reflections on the development and use of the taxonomy, In Rehage, Kenneth J.; Anderson, Lorin W.; Sosniak, Lauren A. (eds.). Bloom's taxonomy: A forty-year retrospective. Yearbook of the National Society for the Study of Education. 93. Chicago: National Society for the Study of Education. ISSN 1744-7984, 1994.4. S. Davee, L. Regalla, and S. Chang, Makerspaces: Highlights of Select Literature, Retrieved from http:// makered.org/wp-content/uploads/2015/08/MakerspaceLit-Review-5B.pdf, 2015.5. D. Dougherty, The maker movement, Innovations, 7(3), 11–14, 2012.6. J. Gilbert, Educational Makerspaces: Disruptive
Baylor University, Waco, TX Copyright 2021, American Society for Engineering Education 2 IntroductionDeveloping teamwork skills has been established as an essential educational outcome for preparinggraduates to enter the professional practice of engineering. For accreditation periods prior to 2019-2020, this was reflected in the Student Outcomes of the ABET Criteria for Accrediting EngineeringPrograms as “an ability to function on multidisciplinary teams.”1 Beginning with the 2019-2020accreditation period, the definition of teamwork in ABET Student Outcomes has been extended asfollows2: “an ability to function effectively on a
Communication, Initiation,Reduction, and Extension (Figure 1). This model was developed based on four critical aspects: a)a combination of teaching practices employed by the author during lecture sessions; b) post-courseevaluation of teaching experiences; c) literature on instructional best practices; d) sensitivity ofcircumstances surrounding students during COVID-19. The combination of experientialknowledge, post-course reflection and scholarly literature provided a framework through whichthe purposed model was conceptualized, developed, and implemented. 4. Granting 1. Constant Extensions on
Roll ResultsIn this section, the roll feature results are presented. Similar to altitude, the model used forregression is ensemble of trees optimizable model with cross validation and 5 folds. The same dataformat used in the altitude predictions is used for roll. The model prediction vs real values plot isshown in Figure 12. Figure 12 Roll Ensemble of Trees Optimizable Cross Validation 5 Folds Prediction Plot.The predicted vs true response plot shows large spread of the predictions around the ideal line.This is reflected in a high resulting MSE for the model of 32.4. The prediction for new flight datais summarized in Figure 13. Figure 13: Roll Ensemble of Trees Optimizable Model Cross Validation 5 Folds Test Results Plot
: Reflections of STEM Teachers on the Use of Teaching and Learning Tools. Journal of Education in Science, Environment and Health. https://doi.org/10.21891/jeseh.711779Zhang, M., Zhang, Z., Chang, Y., Aziz, E. S., Esche, S., & Chassapis, C. (2018). Recent developments in game-based virtual reality educational laboratories using the microsoft kinect. International Journal of Emerging Technologies in Learning, 13(1), 138–159. https://doi.org/10.3991/ijet.v13i01.7773 Proceedings of the 2021 ASEE Gulf-Southwest Annual Conference Baylor University, Waco, TX Copyright © 2021, American Society for Engineering Education 15
27.98 −0.012 0.020 −0.003 Beta 2.67 2.68 0.003 −0.003 0.001 Figure 12: A table of statistics of the HMC posterior samples. We remark that all three methods produced means close to the nominal values of the parameters. However,the means produced by the Wasserstein metric (marked with ∗) may be a result of influence from the uniform priorused in the HMC sampling, and thus they may not accurately reflect the true expected value of the distribution.This is a consequence of the noise in the 1024-cluster EMD approximation as seen in Figures 6b and 7, which 14resulted in a high
Baylor University, Waco, TX Copyright © 2021, American Society for Engineering Education 7beliefs: 1) management had the expertise to figure out such things, and labor did not, and 2)workers would rather not work, so their motivation depended on either a reward or threat. Overthe coming decades, the human relations movement reflected the growing attention given to thepsychological and social needs of individuals in their work and how such attention producedimprovements in productivity. Into this context, Douglas McGregor34 proposed two contrastingbelief systems among managers. Theory X managers operate from the belief that people really donot want to work and therefore must be