isdescribed in this paper. The first free software used is called JavaFoil [7]; JavaFoil is primarily avortex panel method with add-on models for viscous and compressible effects and is fullydocumented [8]. Around this same time, Ansys also began allowing students (not just universitystudents, but anyone who wanted to learn more about CFD software) to download the AnsysFluent Student Version which allowed the students to install Ansys Fluent and AnsysWorkbench [6] directly on their computer. The Ansys Fluent Student Version is limited in thenumber of computational cells that can be used in any given model but is effective at evaluating2D airfoils. During my teaching evolution, the University of Denver also became part of TheKern Entrepreneurial
onboard sensors.Saint Louis University (SLU) does not have any courses focused on rocket design; consequently,to complete this project, our team must seek information and learn outside the classroom. Thispaper will describe the steps we have taken to accomplish this (including where to seek theinformation, struggles, successes, and lessons learned) and document the process to serve as aroadmap for other student teams in similar situations at their universities.Predicting how rockets behave in flight can be challenging; however, it can be done using windtunnel tests, Computational Fluid Dynamics (CFD) simulations, and physics-based dynamicssimulations. Extensive topical knowledge is required to perform each of the tasks successfully.Moreover
Paper ID #40453The Impact of Immersive Virtual Reality on Undergraduate STEM StudentsDr. Chadia A. Aji, Tuskegee University Chadia Affane Aji is a Professor in the Department of Mathematics at Tuskegee University. Dr. Aji received her Ph.D. and M.S. in Mathematics from Auburn University and a Bachelor in Chemical En- gineering from Texas A&M University. Her research interests lie in the areas of numerical analysis, computational applied mathematics, complex analysis, and on improving students’ learning in STEM dis- ciplines. Dr. Aji is involved in retention activities at Tuskegee University. She helps designing
jswenson@buffalo.edu Department of Engineering Education University at BuffaloAbstractAerospace structures courses often appear in the third year of aerospace engineering programs,and are a cornerstone course providing required technical content for the fourth year capstonedesign course. As cornerstones, these courses should also help develop engineering students’understanding of design and professional skills. A novel approach taken at Clarkson Universityinvolves collaborating with over a dozen aviation museums across the United States and Canadato implement authentic assessments. The collaboration was created in 2020 in response toCOVID-driven online learning, and has continued
the research questions.Data Sources and CollectionFor this study, FAA published airport-related data was collected from ASPM (Airport Analysis[12] and Taxi Times [13]), NPIAS 2023-2027 (Hub Classification [10]), and FAA airportdiagrams [14]. Data collection, selection, and sampling was conducted as follows:1. ASPM 77 [12] dataset was used for the list of airports, dates, and the number of daily Departures and Arrivals for Metric Computation. The researchers decided to capture a summer travel time frame and therefore, selected a time-frame between 05/01/2022 and 09/31/2022. Within the ASPM, the data was grouped by Airports and by Dates to run the query. Figure 1 shows a snippet of the query run on ASPM dataset and a section of the
Paper ID #37967Learners’ Peer-to-Peer Interactions of Aerospace and Aviation Educationwith Unmanned Aerial Systems Designs Using Data Methods IntegrationVicleese Sloan, University of Maryland Eastern Shore, Department of Engineering and Aviation Science, Avia-tion Management Senior Student My background experience in education with The University of Maryland Eastern Shore has been on two recent applications of model-based learning with developing solutions in mitigating coronavirus in avia- tion. I’ve also worked on the 5G Smart City Model for Project Based Learning, also in the Student Model Project Based Learning. AREN/NASA
include experimental aerodynamics, aircraft design and engineering education.Dr. Chadia Aji, Tuskegee University Chadia Affane Aji is a Professor in the Department of Mathematics at Tuskegee University. Dr. Aji received her Ph.D. and M.S. in Mathematics from Auburn University and a Bachelor in Chemical En- gineering from Texas A&M University. Her research interests lie in the areas of numerical analysis, computational applied mathematics, complex analysis, and on improving students’ learning in STEM dis- ciplines. Dr. Aji is involved in retention activities at Tuskegee University. She helps designing strategies to assist incoming freshmen cope with first year mathematics classes. She developed teaching modules to
the intersection of multidisciplinary system design optimization and emergent computing approaches including evolutionary computing and machine learning. He has authored over 300 papers and articles and co-authored/edited 4 books on structural and multidisciplinary optimization. A recipient of the AIAA’s Biennial Multidisciplinary Design Optimization Award in 2004, Hajela is a Fellow of AIAA, ASME, and Aeronautical Society of India.Prof. Luca Carlone, Massachusetts Institute of Technology Luca Carlone is the Boeing Career Development Associate Professor in the Department of Aeronautics and Astronautics at the Massachusetts Institute of Technology, and a Principal Investigator in the Laboratory for Information &
Paper ID #44493Using a Systems Engineering-based Approach to Run a Large Project-basedProgram: Lessons Learned Over 12 Years of EducationProf. Matthew Erik Nelson, Iowa State University of Science and Technology I am an assistant teaching professor at Iowa State University My background and interests are in RF, embedded systems in aerospace applications, and engineering education. I serve as the director of the Make to Innovate program at Iowa State University and as the assistant director for Iowa Space Grant Consortium.Mrs. Christine Nicole Nelson,Mason Henry, Iowa State University of Science and Technology
hardware to students enrolled in the course. They also produced asupplementary report describing the theory, design, and testing of solid rocket motors. This report containedactivities that students could use to practice and solidify the skills they learned in the classroom using realtest results. Furthermore, the members of the propulsion team presented in one of the class sessions,showing students actual rocket hardware and explaining how knowledge from the class is directlyapplicable to rocket propulsion development. This presentation also included an in-class activity that usedreal data from the club’s solid rocket motor testing. The activity called for students to compute importantperformance parameters from those data (see figure 7). Since
Systems 6 Civil Engineering Junior Structures 7 Mechanical Engineering Junior Structures 8 Mechanical Engineering Freshman Systems 9 Computer Engineering Senior SystemsLearning ObjectivesThe following are the learning objectives of the research course. Upon successful completion ofthe course, students will be able to: 1. Describe past research studies in their field of study 2. Articulate how their research study contributes to their academic field 3. Work independently and in groups to solve technical problems 4. Communicate effectively by documenting research
techniques. She developed detailed computer models for lunar rover vehicle andperformed various engineering analyses. This gave her an opportunity to learn well above andbeyond what was expected from a typical high school student. The merits of involving grade schoolstudents in research are discussed. Some details of the student design work are presented.Challenges and advantages associated with working with minors are discussed. Student reflectionsare also highlighted.Introduction:In this paper, a case study is presented where a high school student is engaged in independentresearch in an engineering laboratory at a comprehensive public university. The minority femalehigh school student is the sole participant in this project and is advised by a
worked closely with a faculty anda graduate student in a daily basis during the three weeks. In the first week, the students spent themajority of their time 1) understanding basic concepts of computer simulation and probabilitydistribution, 2) learning basic operation and modeling of ARENA software, and 3) choosing anappropriate aerospace system or process for simulation. In the second week, the students startedto collect the necessary data for their selected system or process, create simplified ARENAsimulation models of the selected systems or processes, and learn to add animation to ARENAsimulation models. In the last week, the students input the processed data into the ARENAsimulation model and added animation for visualization purposes in
equations for the lift coefficient, assumptions, and limitations of thetheory, (2) What is the drag?, (3) Provide a summary of the results for the Lift Coefficient andother parameters you find interesting (is it a straight line or curve, do you see stall? Would yousee stall?), and (4) Why−10° to +10°?. They then augment their existing table for their airfoilwith the new lift coefficients for thin-airfoil theory data. Up to this point, they now have existinglift and drag coefficients and the thin-airfoil theory lift coefficients.Figure 1: VisualFoil 5.0 software interface for numerical lift and drag coefficients, HanleyInnovations [16].Numerical AnalysisNumerical analysis is typically the most time-intensive computational method to learn wellenough
Bhavya, Jinfeng Xiao, and Chengxiang Zhai, "Scaling Up Data Science CourseProjects: A Case Study," in Proceedings of the Eighth ACM Conference on Learning @ Scale(L@S '21), New York, NY, USA: Association for Computing Machinery, 2021, pp. 311–314.Available: https://doi.org/10.1145/3430895.3460168[8] J. Ferrer, A. Ringer, and K. Saville, "Students’ motivation and engagement in highereducation: the importance of attitude to online learning," High Educ, vol. 83, pp. 317–338, 2022.Available: https://doi.org/10.1007/s10734-020-00657-5[9] Y. Meng, Y. Zhang, J. Huang, Y. Zhang, and J. Han, "Topic Discovery via Latent SpaceClustering of Pretrained Language Model Representations," in Proceedings of the ACM WebConference 2022 (WWW '22), New York, NY, USA
. Hartman, and D. DeLaurentis, “Mission- Aware Integrated Digital Transformation for Operational Advantage,” 2023.[35] H. Wang, M. Horridge, A. Rector, N. Drummond, and J. Seidenberg, “Debugging OWL- DL ontologies: A heuristic approach,” in The Semantic Web–ISWC 2005: 4th International Semantic Web Conference, ISWC 2005, Galway, Ireland, November 6-10, 2005. Proceedings 4, 2005, pp. 745–757.[36] W. Villegas-Ch and J. Garcia-Ortiz, “Enhancing Learning Personalization in Educational Environments through Ontology-Based Knowledge Representation,” Computers, vol. 12, no. 10, p. 199, 2023.[37] P. Rodler, “One step at a time: An efficient approach to query-based ontology debugging,” Knowl Based Syst, vol
a Distributed Implementation of the Entrepreneurial Mindset in an Experimental Projects CapstoneIntroductionCapstone course sequences are notorious for being too much work for too little reward. That isespecially true when the capstone sequence is an experimental projects capstone, requiringstudents to learn new knowledge in the discipline as well as learning about computer simulationand running experimental equipment. As an instructor, the goal is to have the students learn asmuch as possible to better prepare them for their careers as engineers. In addition to the standardknowledge and skillset that entails, another aspect that is vital to their success is their mindset.BackgroundEntrepreneurial MindsetThe Kern Entrepreneurial
) that is an API used tocontrol radio equipment via a computer interface [47]. These software are controlled by theSatNOGS network through a terminal-based boot on the Raspberry Pi. There are other softwareincorporated into the network to demodulate some of the different types of data collected byground stations. The software can also be used to demodulate data on the student end. TheSatNOGS OS allows it to be remotely accessed, using the Raspberry Pi’s IP address, to manuallyset observations.4.4 Laboratory ActivitiesThe laboratory activities were designed to fulfill all the learning objectives previouslymentioned. There are five planned laboratory activities with each activity building upon the nextand becoming more open-ended. Specifically
Paper ID #44547Effect of Assessment Structure on Perceived Efficacy of a Rocketry CourseScott NguyenDr. Joshua Rovey, University of Illinois Urbana-ChampaignHeather Ruth Arnett, University of Illinois Urbana-Champaign Heather Arnett is the Coordinator of STEM Engagement Activities in Aerospace Engineering at the University of Illinois at Urbana-Champaign. She received her Master of Library and Information Science (MLIS) from the University of Illinois at Urbana-Champaign in 2018 with an emphasis on experiential STEAM learning and outreach programs. Her work focuses on recognizing resource assets and needs in diverse learning
Paper ID #43810Developing an Aerospace Degree Program Responsive to Student Needs—IfYou Build It They Will ComeDr. Michael C. Hatfield, University of Alaska, Fairbanks Dr Michael Hatfield is an Associate Professor in the Department of Electrical & Computer Engineering at the University of Alaska Fairbanks, and Associate Director for Education at the Alaska Center for Unmanned Aircraft Systems Integration. He earned a BS in electrical engineering from Ohio Northern University (’84); an MS in electrical engineering from California State University Fresno (’87), and a PhD in Electrical/Aerospace Engineering from the
: Integrating a National Airport Design Competition into the CurriculumAbstractThis research paper examines the integration of the Airport Cooperative Research Program(ACRP) University Airport Design Competition into a junior/senior level undergraduate coursewithin the Aviation Administration Program at California State University, Los Angeles (CalState LA), a Minority Serving Institution characterized by a predominantly Hispanic/Latinostudent enrollment. Many of these students arrive with varying levels of academic preparednessaccording to conventional standards.The study explores the approach of using the ACRP University Airport Design Competition asthe focal point of the curriculum, fostering a dynamic learning environment
undergraduate and graduate courses in the areas of design optimization, aerospace structures, structural mechanics, and composites. He has made extensive use of experiential learning and computer applications in his courses, including the development of two websites, one devoted to analysis of aircraft structures and the other to statics. He has also led or contributed to the development or redesign of several courses in aerospace and mechanical engineering. ©American Society for Engineering Education, 2024 Implementation of a Hands-on Aerospace Design Project During the COVID PandemicAbstractThis paper discusses the successful implementation of a critical hands
. 1. Physical instruction setting: This is a conventional instruction setting, where institutions equip all resources and provide students with the most realistic practical instruction. While this setting can provide students with high interaction and hand-on experience, but it can challenge institutions to prepare all required resources due to the limits of the budget and other administrative hurdles. Also, the learners need to be in educational instruction setting, which generates cost of relocation. 2. Computer based instruction setting: The form of learning process is two-dimensional based, uses a computer or video. The instruction material can be delivered online, which
anythemselves. These assumptions allow the hegemonic norm (the supposed meritocratic culture) tocontinue without question. There is a need for social-technical education within aerospaceengineering to equip students with their own confidence to consider what they see around themand what personal responsibility and power they may hold or lack [2]–[5]. Students may becomebetter prepared by learning about the history of aerospace engineering, the people whoparticipate in aerospace engineering, and how aerospace engineering affects politics, resources,science, the environment, and exploration.This work in progress paper reviews how a macroethics lesson was piloted within a junior-levelspacecraft dynamics course in the undergraduate aerospace engineering
undergraduate students involved,they will gain valuable experience and knowledge, and be much better prepared to engage effectively intheir own capstone project when the time comes. For the graduate students involved, the testbed is anexcellent opportunity to use and expand the skills learned during their own prior capstone experience.Students recruited into the testbed project are typically employed at a competitive wage for theduration of their enrollment at WSU. As part of the testbed design team, each student researchassistant will work a preset schedule weekly and report to a direct supervisor, simulating closely thework structure of a professional position in industry. The goal is that each student will recognize thelong-term benefits of
aerospace industry away from its dependence on fossil fuels, the future ofelectric propulsion is strong with a positive outlook. As the employment market increasinglydemands more graduates with electric vehicle skills, there may be Industrial Advisory Boardmembers that advocate for inclusion of this knowledge, skills, and abilities to be included inundergraduate programs. These programs include aerospace engineering, engineeringtechnology, technologists, and certificated mechanics. Undergraduate engineering student projectteams have participated in design-build courses where hybrid-electric race cars compete innational competitions [2]. Problem-based learning is widely used in aerospace education usingelectric aircraft [3]. As standards are being
, faculty headcounts, faculty salary and retention data for the engineering community. He is PI of a NSF Advanced Technological Education funded grant to build a national data collection for engineering-oriented technician degree and certificate programs at 2-year institutions. Prior to joining the ASEE, he was the senior researcher at the American Association of University Professor and directed their national Faculty Salary Survey. He also developed a technical curriculum to train analysts for a national survey of languages in Ecuador while he was at the University of Illinois as a linguistic data analytics manager and member of their graduate faculty. He has a B.S. in Computer Science & Mathematics, a M.S. in
. Therefore, the researchers also used Wilcoxon Signed non-parametric test to find thedifferences between median taxi times.This paper may be used to teach introductory level classes focusing on statistical and dataanalysis. The methodologies in this research can be used as an example to teach undergraduateand graduate engineering students to learn data collection, data cleaning, and data consolidationwhen there is large amount of data presents. Students may also learn how and when to useparametric and non-parametric statistical tests when facing large sample.CONCLUSIONIn this paper, the researchers collected taxi times data from 71 U.S. hub airports and comparedtaxi times at airports with ASDE-X and airports without ASDE-X. The researchers