Collection

2021 Fall ASEE Middle Atlantic Section Meeting

Authors

Daniel Blessner, Pennsylvania State University, Wilkes-Barre Campus; Dimitrios Bolkas, Pennsylvania State University, Wilkes-Barre Campus

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public profile [19]; therefore, engineering and non-engineering students working on surveying problems would be able to learn about this major andincrease the awareness of surveying among engineering and non-engineering students.The paper has the main objective to discuss the concept of integrating Math and Statisticscourses with Surveying Engineering, and to outline the main steps of the implementation plan.We discuss our developed a framework for classroom implementation that is characterized bythe acronym DSR, which stands for Discuss, Solve, and Reflect. The paper also providesnumerical examples of surveying related RL problems relevant for different Math and Statisticscourses.Future Implementation PlanAs educators we see those students

Collection

2021 Fall ASEE Middle Atlantic Section Meeting

Authors

Wenyen Huang, SUNY New Paltz; Ping-Chuan Wang, State University of New York at New Paltz; Seth Pearl, Pennsylvania State University

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reflective thinking that occurs in communication andcollaboration with others [5]. This is an organic learning process of observation and guidedpractices with an experienced individual who acts as a mentor. Thus, it is incumbent upon us aseducators and researchers to investigate the role of mentoring in the development of soft skills.This paper introduces an interdisciplinary model in a two-semester afterschool program, wherethe undergraduate engineering students and mathematics teacher candidates teamed up to serveas mentors for a group of high school students in an after-school robotics club. We will explainthe pedagogical rationale of the mentorship approach and that the design of our interdisciplinarymodel is a particularly effective option to

Collection

2021 Fall ASEE Middle Atlantic Section Meeting

Authors

Joshua S Wiley, United States Military Academy; MICHAEL Robert GREIFENSTEIN, United States Military Academy, Department of Geography & Environmental Engineering; Andrew Ross Pfluger P.E., United States Military Academy

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,departments, and backgrounds. Ultimately, we began the study with eleven cadet participants andfive faculty participants, who logged their activities and hours with our spreadsheets reflected inAppendix 1D and Appendix 2 at the end of each week of the study. As a reminder of how the weekwas structured, we added to each worksheet tab a snapshot of the USMA academic calendar forthat week as shown in the table below.Table 5. USMA Academic Calendar for Week 1 of Study (Fall Semester) We also classified participants into only the two groups of cadets or faculty. Even though somefaculty are more senior than others, some studies demonstrate that the time effects of teaching donot tend to vary significantly between faculty experience levels (Moore

Collection

2021 Fall ASEE Middle Atlantic Section Meeting

Authors

Suzanne Keilson, Loyola University Maryland

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Diversity

framework for such reflection is the threequestions of what went right, what went wrong, and what might be done differently. Most of thelessons learned again focused on the need for care, attention to detail and the challenges oftroubleshooting a project. The question of troubleshooting a project is an interesting one thatdoes not seem to be much researched in educational literature. The logical chain of deductionabout where to look for problems, what to check first, is often a matter of implicit understandingand heuristic rules developed through experience. It would be useful to have an explicit set ofrules and experiences to pass on to students. For example, it was at first a humorous comment totry turning the computer off and on again, but one

Collection

2021 Fall ASEE Middle Atlantic Section Meeting

Authors

Ashley Lytle, Stevens Institute of Technology; Alexander John De Rosa, Stevens Institute of Technology (School of Engineering and Science); Frank T Fisher, Stevens Institute of Technology (School of Engineering and Science)

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students in pursuing their undergraduate studies.AcknowledgementsPartial support for this work was provided by the National Science Foundation Scholarships inScience, Technology, Engineering, and Mathematics (S STEM) program under Award No.2130428. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation.ReferencesApriceno, M., Levy, S. R., & London, B. (2020). Mentorship during college transition predicts academic self-efficacy and sense of belonging among STEM students. Journal of College Student Development, 61(5), 643-648. https://doi.org/10.1353/csd.2020.0061Bagès, C., & Martinot, D. (2011

Collection

2021 Fall ASEE Middle Atlantic Section Meeting

Authors

Kofi Nyarko, Morgan State University; Sacharia Albin, Norfolk State University; John Okyere Attia P.E., Prairie View A&M University

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Source.Simulation of microwave transmission lines andmicrowave filters (Alabama A&M University)Participants simulate two popular microwavetransmission lines and two microwave filters.First, participants use two simulation software:AppCAD and Sonnet Lite. They learn thestructures of the two transmission lines and theoperations of two software. They use AppCAD tosimulate both transmission lines and to investigatehow the dimension parameters influence thecharacteristic impedances. They use Sonnet Liteto simulate the microstrip on reflection coefficientand insertion loss. Participants also simulate a Figure 6. Coplanar waveguide on AppCADmicrostrip band stop filter and a microstripbandpass filter using AppCAD, and then simulateboth filters using