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- Military and Veterans Division (MVD) Technical Session 2
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- 2024 ASEE Annual Conference & Exposition
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Alyson G. Eggleston, Pennsylvania State University; Angela Minichiello, Utah State University; Allison Miles, Utah State University; Hannah Wilkinson, Utah State University; Samuel Shaw, Utah State University; Robert J. Rabb P.E., Pennsylvania State University; Jerry Lynn Dahlberg Jr, University of Tennessee, Space Institute; B Grant Crawford P.E., Quinnipiac University; Oscar Barton, Jr. P.E., Morgan State University; Catherine Kime, Utah State University; Michael Scott Sheppard Jr., Colorado School of Mines
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Military and Veterans Division (MVD)
. Thisinaugural ASEE panel centered on challenges of and potential initiatives to support studentveterans in STEM. Outcomes from the panel discussion were subsequently reported in a paperpresented at the 2018 ASEE Annual Conference in Columbus, OH [14].In 2022, the MVD leadership team planned, coordinated, and conducted a follow-on panel,comprised of veteran engineering education stakeholders and addressing the broad theme ofveteran pathways to engineering careers. Presented at the 2023 ASEE Annual Conference, thepurpose of the stakeholder panel, “Veteran Pathways to Engineering,” was multifold: to examineveterans’ engineering career pathways from viewpoints that may not be as well represented inthe literature (i.e., veteran and current enlisted
- Conference Session
- Military and Veterans Division (MVD) Technical Session 2
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- 2024 ASEE Annual Conference & Exposition
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Aikaterini Bagiati, Massachusetts Institute of Technology; Kathleen D Kennedy, Massachusetts Institute of Technology; Andrés F. Salazar-Gómez, Massachusetts Institute of Technology; Joshua Siegel, Michigan State University; cynthia Breazeal, Massachusetts Institute of Technology
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Military and Veterans Division (MVD)
computational thinking, relying on visual aids to develop a set of classification rules for images. This approach illustrated the transformative power of computers, i.e. if 6 participants developed 10 effective classification rules in one hour, a computer could develop a million in a minute. The purpose of this exercise was to encourage the use of the “right tool for the job.” ● Large team exerciseThe large team exercise combined all the red, and all blue teams into two different groups, to applytheir combined, “same side”, innovation and technology knowledge to imagine plausible next stepsfor their integrated circuit manufacturing company. At the end of the activity learners were askedto present their plans and compete for a
- Conference Session
- Military and Veterans Division (MVD) Technical Session 1
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- 2024 ASEE Annual Conference & Exposition
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David Paul Harvie, Embry-Riddle Aeronautical University-Worldwide; Kimberly A Luthi, Embry-Riddle Aeronautical University-Worldwide; Monica Surrency, Embry-Riddle Aeronautical University-Worldwide; John K Wilson, Embry-Riddle Aeronautical University-Worldwide
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influences a students’ willingness to serve as a peerleader, how military and veteran peer leaders perform, and how military and veteran studentsrespond to peer leadership. The intent is to leverage military and veteran leadership experience tobetter improve the training of peer leaders to facilitate learning for all students. It also allows forstrong opportunities to witness veteran students assisting other veteran students to succeed intheir education.Research Plan The overall research hypothesis for this work is that PLTL learning support in courses with highattrition rates that integrated applied mathematics, specifically statics, dynamics, aerodynamics,and digital circuit courses, will support engineering education and lead to greater
- Conference Session
- Military and Veterans Division (MVD) Technical Session 1
- Collection
- 2024 ASEE Annual Conference & Exposition
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Robert J. Rabb P.E., Penn State University; Alyson G. Eggleston, Penn State University; Catherine Mobley, Clemson University; Angela Minichiello P.E., Utah State University; Ronald W. Welch P.E., The Citadel; Jerry Lynn Dahlberg Jr, University of Tennessee, Space Institute; David M. Feinauer P.E., Virginia Military Institute; B Grant Crawford P.E., Quinnipiac University; Samuel Shaw, Utah State University
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Military and Veterans Division (MVD)
College Student; and Second-LanguageEnglish Speaker. The survey also captured Gender; Sexual Orientation; Ethnic and Racialidentities, using National Institute of Health (NIH) definitions for gender, orientation, ethnicityand race. All identity dimensions included an option to “decline to answer,” and it was rarelyused. The fine-grained approach to demography here was in part motivated by plans to scale thesurvey instrument to a much larger project that leverages key Sociology expertise by members ofthe research team.d. Proximity to VeteransProximity to veterans correlated with the respondents’ personal connections to veterans.Respondents identified their immediate family contacts as well as their distant family oracquaintances. The data also
- Conference Session
- Military and Veterans Division (MVD) Technical Session 1
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- 2024 ASEE Annual Conference & Exposition
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Jason M Newell, Embry-Riddle Aeronautical University; Bryan Watson, Embry-Riddle Aeronautical University
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work and achieve more than the minimum requirements, could reflect a higher level of dedication to the craft. This genuine dedication could produce better results in other areas, but cannot be directly proven by this study.5.3 Peer Evaluation Relationships The weak correlations between peer evaluations and any other metrics means that it is nearly impossible to predict how personalities may interact off-campus, and training plans should not be modified due to the results of this study. In fact, Cadet Command has already indicated that future CST peer evaluations will only be used for self-development purposes, and not included in the final weight of CST OML. Because peer evaluations can be influenced so heavily by a few