Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Nadya Shalamova, Milwaukee School of Engineering; Olga Imas, Milwaukee School of Engineering; James Lembke; Maria Pares-Toral, Milwaukee School of Engineering; Derek David Riley, Milwaukee School of Engineering; Daniel Bergen, Milwaukee School of Engineering

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Diversity

Tagged Divisions

Computers in Education Division (COED)

Intelligence (AI) is no longer a subject of science fiction or a niche for specializedindustries. AI permeates everyday life, impacting how people work, communicate, and solveproblems locally and globally [1]. AI applications in higher education have grown significantlyin recent years, as evidenced by the adoption of AI-driven instructional design tools andapplications (e.g., Khan Academy's Khanmigo, ChatGPT for Education, MagicSchool), AI-enabled scientific literature search engines (e.g., Semantic Scholar, Consensus), collaborativeapplications (e.g., MS Teams), smart AI features in learning management systems (e.g., Canvas),and AI-based assistants (e.g., Grammarly, Canva).The widespread infusion of generative AI (GenAI) specifically marked a new

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Alan Marchiori, Bucknell University

Tagged Divisions

Computers in Education Division (COED)

provide practical hands-on experience with thesecomputer architecture concepts. Various software tools exist to allow students to simulate digitallogic, such as Digital [1] and Logisim Evolution [2]. Although you can build a full CPU usingthese systems, they are not intended to study computer architecture more broadly and can be quitetedious. Full hardware design languages such as Verilog, SystemC, and VHDL are quite adept atsimulating modern computer architectures. However, these tools are specialized, andundergraduate computer science students find a steep barrier to learning and correctly applyingthem.Our goal is to guide students in the design and implementation of a RISC-V CPU, culminating ina functional implementation of a single cycle CPU

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Juan Alvarez, University of Illinois at Urbana - Champaign; Max Fowler, University of Illinois at Urbana - Champaign; Cheryl Ann Cohen; Jennifer Martinez; Jennifer R Amos, University of Illinois at Urbana - Champaign; Yael Gertner, University of Illinois at Urbana - Champaign

Tagged Divisions

Computers in Education Division (COED)

Engineering Education, 2025 WIP: Students’ reflections on their Sense of Belonging and Motivation in a CS Discrete Math course.1 IntroductionResearchers found that motivation and sense of belonging play a role in course performance[5,6]. In this work we focus on a Discrete Math course which is a required gateway course inthe computing sequence. Given the nature of the conceptual problem solving required inDiscrete Math is unique compared to early programming, this different environment mighthave a differential impact on students’ sense of belonging and motivation. Specifically, wefocus on two aspects of motivation from Expectancy-Value Theory[2]: students’ expectationfor success and the value they place in the course. For sense of belonging [3

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Johannes Kubasch, University of Wuppertal; Dominik May, University of Wuppertal; Doha Meslem, Bergische Universität Wuppertal

Tagged Divisions

Computers in Education Division (COED)

in higher education. The third is digital and online laboratory contexts. Lastly, thefourth includes competencies, limitations, boundaries, and feedback mechanisms.The relevance levels are divided into three categories based on their alignment with keyresearch priorities. These categories indicate the extent to which an article aligns with thesepriorities, ranging from high to low relevance. The table 1 below provides an overview ofthese levels and their criteria. Relevance Level Criteria G Assigned to articles that comprehensively address priorities 1, (High Relevance) 2, and 3 together, or include all four priorities (1, 2, 3, and 4). R

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Muhammed Yakubu, University of Toronto; Jasnoor Guliani, University of Toronto; Nipun Shukla, University of Toronto; Dylan O'Toole; Hamid S Timorabadi P.Eng., University of Toronto

Tagged Divisions

Computers in Education Division (COED)

studyingefficiency in engineering education.1.0 - Introduction and BackgroundActive recall and spaced repetition are two evidence-based learning strategies widely recognizedfor their effectiveness in improving long-term retention and understanding [1-4]. Active recallinvolves retrieving information from memory, typically by answering questions or solvingproblems, while spaced repetition involves repeated review and recall of study material atincreasing intervals to enhance long-term retention. Despite their proven benefits, many existingtools such as Anki and Quizlet do not fully integrate these strategies in ways tailored to theunique demands of engineering education, such as solving complex, application-driven problems[5]. The process of creating new

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Linda Davis Ahlstrom, Utah State University; Oenardi Lawanto, Utah State University; Cassandra J McCall, Utah State University; Michaela Harper, Utah State University; Wade H Goodridge, Utah State University; Daniel Kane, Utah State University

Tagged Divisions

Computers in Education Division (COED)

adoption of new AI technology. Further insight intothese attitudes may be essential in preparing engineering students for a rapidly evolvingworkplace. This work in progress study explores self-reported data on AI use by universityengineering students.IntroductionAdvances in technology have created a unique environment for learning at the university level.AI-driven tools present immediate opportunities that can be shaped for learning in engineeringeducation. These tools are rapidly advancing, and educators should use this opportunity toprepare for and anticipate these changes in academia [1], [2], [3]. Joseph and others put forth thatAI has the capability to transform and completely change the way we teach and learn [4]. Edaliand others described

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Susannah Cooke, ANSYS, Inc.; Kaitlin Tyler, ANSYS, Inc.

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

interact with the desired visualizations via a simple “app”, leavingthe more complex simulation software unseen in the background.Details of the teaching resource creation process, implementation challenges, and examplecurriculum integration opportunities will be shared, as well as preliminary feedback fromacademics and students using the tools presented. Our hope with this work is to lower the energybarrier for including simulation in the engineering curriculum, allowing students to takeadvantage of the visualization capabilities and familiarize themselves with the concepts ofsimulation tools early in their degree journey.1. Motivation: strengthening experiments with simulation to enhance students’ understandingThe skills which engineering

Conference Session

Computers in Education Division (COED) Poster Session (Track 1.A)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Michaela Harper, Utah State University; Cassandra J McCall, Utah State University; Daniel Kane, Utah State University; Wade H Goodridge, Utah State University; Linda Davis Ahlstrom, Utah State University; Oenardi Lawanto, Utah State University

Tagged Divisions

Computers in Education Division (COED)

personalization,efficiency, and accessibility, making it easier than ever for learners to adapt educational resourcesto their unique needs [1], [2], [3], [4]. However, this potential is accompanied by concerns abouttrustworthiness, over-reliance, and academic integrity, which complicate their adoption [5], [6],[7], [8], [9]. Students’ decisions to embrace or avoid these technologies are influenced bycomplex motivational factors, perceptions of trustworthiness, and learning strategies [10], [11],[12]. Understanding these influences is crucial for leveraging disruptive technologies to enhanceeducational outcomes while addressing potential risks [1], [2], [4], [13], [14], especiallyconsidering the ongoing debate about whether faculty should teach students

Conference Session

Engineering and Public Policy Division (EPP) Technical Session 1

Collection

2025 ASEE Annual Conference & Exposition

Authors

Hortense Gerardo, University of California, San Diego; Dana Polojärvi, Maine Maritime Academy; Jon Wade, University of California, San Diego

Tagged Divisions

Engineering and Public Policy Division (EPP)

ongoing and future work.problem descriptionGenerative AI development currently involves three major groups of people involved in anadversarial relationship over fundamental intellectual property rights: 1) artists, 2) AI developers,and 3) producers and distributors of these commercialized artistic works. The members of thefirst group, artists and writers, publish their work as a central element of their professional lives.Without publication and sales, artists and writers cannot make a living. However, whenever anartist or writer publishes something, the published work contains samples of the creativecognitive algorithms the artist or writer used to make the work. For more on cognitivealgorithms, see [1].Cognitive algorithms are an adaptive set

Conference Session

Military and Veterans Division (MVD) 1 - Access and Integration

Collection

2025 ASEE Annual Conference & Exposition

Authors

Alyson Grace Eggleston, Pennsylvania State University; Ronald W. Welch P.E., The Citadel

Tagged Topics

Diversity

Tagged Divisions

Military and Veterans Division (MVD)

duty members who face similar, and often times, different challenges than traditionalstudents. Student Veterans confront many misperceptions and stereotypes from faculty, staff,fellow students, often exacerbated by media. Some perceptions may paint the Student Veteranspositively, while some perceptions over-simplify them negatively.This paper is part of a larger study of faculty and staff (mis)perceptions towards StudentVeterans and various factors that can neutralize these misperceptions. Using a counter balanced,quantitative survey instrument across several institutions (TABLE 1), GZT was found to have aneutralizing effect on some of the perceptions, but also found to statistically reinforce others. Thesurvey questions compare the agreement

Conference Session

Aerospace Division (AERO) Technical Session 1 - Experiential Learning

Collection

2025 ASEE Annual Conference & Exposition

Authors

Steven Chene Chetcuti, United States Military Academy; Brodie Hoyer, United States Military Academy; Aaron T Hill Jr. P.E., United States Military Academy; Drew Alan Curriston

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Diversity

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Aerospace Division (AERO)

developmentIntroduction/Motivation According to STEM education data from the U.S. National Science Foundation from2002-2012, Aerospace Engineering had the largest percentage change of engineering fields,,while the number of bachelor’s degrees in aerospace engineering more than doubled during that10-year period [1]. The U.S. Bureau of Labor Statistics’ Occupational Outlook Handbookforecasts that the demand for aerospace engineers will continue to increase, with a projected jobgrowth of 6% between 2023 and 2033 [2]. Such data supports trends that are easily observablewith the growth of the airline industry, commercial space races with companies such as BlueOrigin and SpaceX, and the proliferation of drone technology. As a result, several universitieshave

Conference Session

Aerospace Division (AERO) Technical Session 2 - Student Papers 1

Collection

2025 ASEE Annual Conference & Exposition

Authors

Sabrina Olson, University of Michigan; Oliver Jia-Richards, University of Michigan; Aaron W. Johnson, University of Michigan

Tagged Divisions

Aerospace Division (AERO)

to design a space mission concept, delivered as a final report at the conclusionof the course. In the semester discussed in this paper, 87 students were enrolled in the course.The course is designed to satisfy ABET Student Outcomes 1-7. Specifically, the primary learningobjectives for the course were listed as teamwork, communication, analysis/design, technicalissues, design process, nontechnical drivers, industry-level rigor, professional exposure, andmacroethics. Each learning objective was expanded upon in the syllabus; for example, theteamwork learning objective was described as “students will work in groups and learn abouttechniques needed to create effective engineering teams.” Similarly, the macroethics learningobjective was explained

Conference Session

Two-Year College Division (TYCD) Technical Session 1: Transfer Pathways

Collection

2025 ASEE Annual Conference & Exposition

Authors

eugene leo draine mahmoud, Mt. San Antonio Community College & Purdue University; Anne Victoria Wrobetz, Purdue University at West Lafayette (COE); N. Bray Bonner, Purdue University at West Lafayette (COE); Tram Dang, Purdue University – West Lafayette (College of Engineering); Joyce B. Main, Purdue University at West Lafayette (PWL) (COE)

Tagged Divisions

Two-Year College Division (TYCD)

SummaryFrom the engineering education literature, there are ample opportunities for additional researchinto the role of educational policy and statewide structures on engineering transfer networks. Weknow that education policies vary with modes of transfer in ways that impact the participation ofcommunity and technical college students. The practice of determining course equivalency inengineering pathways complicates an assessment of a community and technical college student’sreadiness for upper-division coursework. Educational policies and statewide structures maycontribute to credit loss for engineering transfer students and the experience of partnerinstitutions as separate, not seamless. Additionally, there has been little research done that 1

Conference Session

Minorities in Engineering Division(MIND) Technical Session 1

Collection

2025 ASEE Annual Conference & Exposition

Authors

Eleazar Marquez, The University of Texas Rio Grande Valley; Hiram Moya, The University of Texas Rio Grande Valley; Anil Kumar Srivastava, The University of Texas Rio Grande Valley

Tagged Topics

Diversity

Tagged Divisions

Minorities in Engineering Division(MIND)

implemented to attract, advance, and advocate the participation of underrepresentedengineering students to a research collaboration effort between The University of Texas RioGrande Valley (UTRGV) and a National Laboratory. The purpose of the partnership between thesetwo entities is to meet the following goals: a) find innovative manufacturing techniques forweapons development, and b) prepare UTRGV students to conduct internships and be employedwith the National Laboratory. Similarly, the internal aim of UTRGV is to 1) support studentsuccess in engineering by promoting the participation of underrepresented minorities in researchvenues and foster academic inclusion, development, and mentorship; and 2) increase the numberof underrepresented students

Conference Session

Biological and Agricultural Engineering Division (BAE) Technical Session 1

Collection

2025 ASEE Annual Conference & Exposition

Authors

Madhumi Mitra Ph.D, University of Maryland Eastern Shore; Abhijit Nagchaudhuri, University of Maryland Eastern Shore; Jesu Raj Pandya, University of Maryland Eastern Shore; Alena Zheng, University of Maryland College Park

Tagged Topics

Diversity

Tagged Divisions

Biological and Agricultural Engineering Division (BAE)

Highland Simulant 1 (LHS-1) and Mexico Lunar Mare 1 (MLM-1), (c)mastering aeroponics, and (d) developing skills in data collection, analysis, and research design.Students were assessed on their ability to program FarmBot for automated watering and plantmonitoring, as well as maintaining and troubleshooting the Tower Garden’s aeroponic systems.They formulated hypotheses, designed experiments, and analyzed key variables such as regolithconcentration and watering schedules. Growth metrics, including leaf width and plant height, werecollected and analyzed. Findings were communicated through written reports and oralpresentations, strengthening their scientific communication skills. This program inspires STEMstudents to tackle space agriculture

Conference Session

Military and Veterans Division (MVD) 1 - Access and Integration

Collection

2025 ASEE Annual Conference & Exposition

Authors

Noah Pointer, Biologically Inspired Design for Resilience(BID4R) lab.; Julianna Gesun, Embry-Riddle Aeronautical University - Daytona Beach; Bryan Watson, Embry-Riddle Aeronautical University - Daytona Beach

Tagged Topics

Diversity

Tagged Divisions

Military and Veterans Division (MVD)

, EngineeringThriving. Engineering Thriving is defined as the process by which engineering programs facilitatethe environments for students to develop optimal functioning in engineering programs [1]. Thesignificance of this study lies in the need to identify physical indicators or biomarkers that correlatewith a student’s subjective psychological experience, and, if such indicators exist, to answer ourresearch question regarding the key indicators of thriving. Although survey tools have beendeveloped to assess thriving in undergraduate engineering students [2], physical indicators arenecessary for students who may be less likely to engage with survey tools. For this work-in-progress, we choose to focus on Veteran students, who are less connected to the student

Conference Session

Aerospace Division (AERO) Technical Session 2 - Student Papers 1

Collection

2025 ASEE Annual Conference & Exposition

Authors

Favour Ocheja, Purdue School of Aviation Transportation Technology; Tracy L Yother, Purdue Polytechnic Institute, Purdue University – West Lafayette

Tagged Divisions

Aerospace Division (AERO)

alternative fuels.The aviation sector relies on kerosene-based fuels, which are linked to substantial carbonemissions and, hence, a major contributor to climate change, with air travel continuing to growwith the expansion of the global economy [1]. The aviation industry is transforming as it seekssustainable alternatives to traditional fossil fuels. Aviation accounts for approximately 2.5% ofglobal CO₂ emissions, and with increasing regulatory pressure, there is an urgent need forcleaner propulsion technologies [2].Hydrogen has emerged as a promising alternative due to its high energy content and ability toenable zero-emission flights. However, challenges associated with the constrained air transportenergy paradigm emphasize the need for alternative

Conference Session

Engineering Design Graphics Division (EDGD) Technical Session 1

Collection

2025 ASEE Annual Conference & Exposition

Authors

Daniel Selvakumar Raja, Greenville University; Natalie Schleper, Saint Louis University

Tagged Divisions

Engineering Design Graphics Division (EDGD)

lecture, General Chemistry 1 & 2 lecture, recitations, and laboratory, Analytical Chemistry lecture and laboratory, Organic Chemistry laboratory, and Physical Chemistry Laboratory. Natalie’s research contributions focus on innovative teaching methods to enhance student engagement and learning outcomes. Research interests include student misconceptions, instructional materials, and integration of technology to STEM courses. Outside of the university, Natalie has a passion for theater and architecture. Before finding her passion for chemistry education, she was a theater major and has an associate’s degree in computer aided Drafting and Design. ©American Society for Engineering Education

Conference Session

Engineering Design Graphics Division (EDGD) Technical Session 1

Collection

2025 ASEE Annual Conference & Exposition

Authors

Julian M Lippmann, University of Miami

Tagged Divisions

Engineering Design Graphics Division (EDGD)

that VF is reasonable for moderately sizedclasses. Student feedback was overwhelmingly positive, highlighting the personalized andaccessible nature of VF and its role in improving motivation and identifying errors.IntroductionEffective feedback is consistently recognized as essential to student learning [1][2][3]. Theeffectiveness of feedback is a function of manner and mode [4]. Though the manner -- content,tone, and approach – is critical to all feedback, here we focus on the mode of delivery. Themajority feedback in engineering education is written[5]. Specifically, we define four types ofwritten feedback: 1. Scored work: A numeric value is assigned to indicate the quality of work (e.g. “+ 2pts”) 2. Scored work with a rubric: A numeric

Conference Session

Aerospace Division (AERO) Technical Session 2 - Student Papers 1

Collection

2025 ASEE Annual Conference & Exposition

Authors

Mollie Johnson, Massachusetts Institute of Technology; Rea Lavi, Massachusetts Institute of Technology; Olivier Ladislas de Weck, Massachusetts Institute of Technology; Luca Carlone, Massachusetts Institute of Technology; Yun Chang, Massachusetts Institute of Technology; Prabhat Hajela, Rensselaer Polytechnic Institute

Tagged Divisions

Aerospace Division (AERO)

advanced technology that immerses users in computer-generatedenvironments that they can interact with in a realistic and engaging manner. Traditional VRsystems include a head-mounted display (HMD) headset that tracks the user’s position, as well ascontrollers for input. Though most commonly used in entertainment and gaming [1], VRtechnology has significant applications in the aerospace industry as a means of boostingproductivity and in education as an interactive platform for learning. However, the overlapbetween the two– VR for aerospace education– is a niche field. By creating controlled virtualenvironments, VR can transform knowledge acquisition and practical skill development in arisk-free setting.The primary advantages of VR lie in its

Conference Session

Aerospace Division (AERO) Technical Session 2 - Student Papers 1

Collection

2025 ASEE Annual Conference & Exposition

Authors

Lani McGuire, The Ohio State University; Benjamin Ahn, The Ohio State University

Tagged Divisions

Aerospace Division (AERO)

and then branching out throughconnecting themes from the literature gathered. This allowed us to paint a holistic view of thetypes of engineering student experiences. The first keywords consisted of “learning experiences”, “aerospace”, “mechanical”, and“engineering”. This combination of search terms did not yield many results as “learningexperiences” does not seem to be a widely established term in the literature. In addition to that,the additional restrictions of “aerospace” and “mechanical” further restricted the results.However, some of the literature discovered unveiled the Academic Pathways Study (APS) [1], amulti-institutional, longitudinal study that observed undergraduate student pathways toengineering. The findings from this

Conference Session

Engineering and Public Policy Division (EPP) Technical Session 1

Collection

2025 ASEE Annual Conference & Exposition

Authors

Mona El Helbawy, University of Colorado Boulder; eric bogatin, University of Colorado Boulder

Tagged Topics

Diversity

Tagged Divisions

Engineering and Public Policy Division (EPP)

admissionsto broaden access. These graduate programs highlight innovative approaches to online engineeringeducation but also raise questions about learner preparedness, credential recognition, and programscalability. Finally, we explore the integration of artificial intelligence (AI) tools in asynchronousonline platforms, including both their promise for enhancing personalization and the risks theypose to critical thinking and equity. This paper concludes with actionable recommendations forcourse design, technology use, and institutional policy to support inclusive and effectiveasynchronous learning. 1. IntroductionOnline education, particularly asynchronous programs, has become a popular choice in recentyears. Asynchronous learning is different

Conference Session

Minorities in Engineering Division(MIND) Technical Session 1

Collection

2025 ASEE Annual Conference & Exposition

Authors

Jad El Harake, Vanderbilt University; Jonathan Ehrman, Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA; Katrina L. Leaptrot, Vanderbilt University

Tagged Topics

Diversity

Tagged Divisions

Minorities in Engineering Division(MIND)

accepted applicantsand the required time to evaluate an applicant cohort.Introduction Studies consistently highlight the benefits of diversity within teams, such as improvedcreativity, problem-solving, and overall research outcomes [1], [2]. In contrast, scientificresearch can stagnate without the synergy of diverse perspectives and insights. Academia isparticularly important to analyze, as disparities within academic settings propagate to affect thefuture scientific workforce [3]. Despite efforts to create more inclusive educational and workenvironments, implicit biases in recruitment and selection processes remain a significant barrier[4], [5], [6]. Reviewer biases can influence applicant evaluations in favor of candidates withcertain

Conference Session

Engineering and Public Policy Division (EPP) Technical Session 1

Collection

2025 ASEE Annual Conference & Exposition

Authors

Mona El Helbawy, University of Colorado Boulder; Pat Clark, University of Colorado Boulder

Tagged Divisions

Engineering and Public Policy Division (EPP)

mitigate any negative impacts associated with high immersion levels. Cognitive load refers to the amount of information that our working memory can effectively process, highlighting the cognitive limits of information processing. When cognitive demands exceed these limits, it can lead to cognitive overload, which negatively impacts both learning outcomes and overall satisfaction. Therefore, when designing virtual training programs that incorporate various multimedia elements and interactive features, it is essential to manage cognitive load carefully. Maintaining an optimal cognitive load will facilitate effective learning, ensuring that participants can engage fully without becoming overwhelmed by excessive information [1-3]. This approach is

Conference Session

Two-Year College Division (TYCD) Technical Session 1: Transfer Pathways

Collection

2025 ASEE Annual Conference & Exposition

Authors

Jeyoung Woo, California State Polytechnic University, Pomona; eugene leo draine mahmoud, Mt. San Antonio Community College & Purdue University; Winny Dong

Tagged Topics

Diversity

Tagged Divisions

Two-Year College Division (TYCD)

1: Literature ReviewThe first phase involved a systematic review of existing literature to establish a theoreticalframework and identify best practices. The authors conducted a literature review on transfer creditloss, engineering transfer, and transfer pathways. The authors also consulted relevant policydocuments and institutional websites related to transfer policies and practices in higher education.The review focused on: 1) identifying the primary causes of transfer credit loss for engineeringstudents, 2) examining the impact of transfer credit loss on student academic performance, GPAs,and 3) analyzing current practices and strategies employed by institutions to minimize transfercredit loss and facilitate smooth transfer pathways. The

Conference Session

Military and Veterans Division (MVD) 1 - Access and Integration

Collection

2025 ASEE Annual Conference & Exposition

Authors

Benjamin Pederson, Air Force Institute of Technology; Mark Reith, Air Force Institute of Technology; David Long, Air Force Institute of Technology; Ralucca A. Gera, Naval Postgraduate School; Edward D White, Air Force Institute of Technology; Jonathan Zemmer, Air Force Institute of Technology

Tagged Divisions

Military and Veterans Division (MVD)

research question (RQ):RQ1: What is the value proposition of digital badges in the military? Figure 1. This figure illustrates the research methodology. The methodology starts fromthe upper left and proceeds sequentially following the arrows. Orange rectangles represent majormilestones with supportive green rectangle sub-tasks. Blue rectangles represent intermediateobjectives. Purple circles represent the start and end of the research. The graphic in Figure 1 shows the overall methodology of this research. Beginning at theupper left corner of the diagram, the ``Define'' item represents the clarification of the purpose,scope, and objectives of this research. The researchers define the problem domain of thisresearch as military talent

Conference Session

Engineering Physics and Physics Division (EP2D) Technical Session 1

Collection

2025 ASEE Annual Conference & Exposition

Authors

Jiwon Kim, Purdue University at West Lafayette (COE); Alfa Satya Putra, Purdue University at West Lafayette (COE); Muhsin Menekse, Purdue University at West Lafayette (PWL) (COE); Eesha tur razia babar, University of California, Irvine; Ahmed Ashraf Butt, University of Oklahoma; Saira Anwar, Texas A&M University

Tagged Divisions

Engineering Physics and Physics Division (EP2D)

. Menekse received four Seed-for-Success Awards (in 2017, 2018, 2019, and 2021) from Purdue University’s Excellence in Research Awards programs in recognition of obtaining four external grants of $1 million or more during each year. His research has been generously funded by grants from the Institute of Education Sciences (IES), the U.S. Department of Defense (DoD), Purdue Research Foundation (PRF), and the National Science Foundation (NSF).Eesha tur razia babar, University of California, Irvine Eesha Tur Razia Babar holds a master’s degree in Electrical and Computer Engineering from the University of California, Irvine. She completed her undergraduate studies in Electrical Engineering at the University of

Conference Session

Aerospace Division (AERO) Technical Session 2 - Student Papers 1

Collection

2025 ASEE Annual Conference & Exposition

Authors

Alex Richard Duffy, The Pennsylvania State University; Edward C. Smith, Pennsylvania State University; Sarah Danielle Bock, Pennsylvania State University; Reed Ladewig, Pennsylvania State University; Adi Nagarajan, Pennsylvania State University; Samay Shingatwar, The Pennsylvania State University; Samantha Rae Coleman, Pennsylvania State University

Tagged Divisions

Aerospace Division (AERO)

Conference Session

Aerospace Division (AERO) Technical Session 1 - Experiential Learning

Collection

2025 ASEE Annual Conference & Exposition

Authors

Zachary Taillefer, Worcester Polytechnic Institute

Tagged Topics

Diversity

Tagged Divisions

Aerospace Division (AERO)

) Workforce Study of end-use manufacturers, the number ofwomen in A&D has stayed around 26%. A similar trend has been observed with underrepresentedcommunities of color, with only 10% of respondent’s workers identifying as Black and just lessthan 9% as Hispanic/Latino [1]. Thus, organizations are exploring different ways to improve talentattraction and retention by improving employee benefits, instituting flexible work models,upskilling existing employees and continuing to make diversity, equity and inclusion (DEI) apriority. Despite these efforts employee turnover and attrition rates remain a concern. Thedemographic numbers for aerospace engineering students across the US are better than theworkforce numbers; however, there is still significant

Conference Session

Engineering Physics and Physics Division (EP2D) Technical Session 1

Collection

2025 ASEE Annual Conference & Exposition

Authors

Cherish Bauer-Reich, University of Jamestown; Jakob DeLong, University of Jamestown; Wesley Newton, University of Jamestown

Tagged Divisions

Engineering Physics and Physics Division (EP2D)

the change betweenpre- and post-test scores, although this may be a result of the low number of questions in thatcategory. All three categories contributed to post-test measurements on the CSEM andaccounted for some of the change seen in all three types of post-test measurements.Introduction One of the most commonly used assessment tools is the Force Concept Inventory (FCI).[1] Since its introduction in 1992, it has been used as a learning assessment tool for physicsclasses worldwide, while its use has been heavily studied. During this time, researchers haveevaluated the tool to understand whether there are some questions on the test that may be biaseddue to gender or present hurdles to those for whom English is not their primary