). School engagement: Potential ofthe concept, state of the evidence. Source: Review of Educational Research, 74(1), 59–109.Retrieved from http://www.jstor.org/stable/3516061[2] Appleton, J. J., Christenson, S. L., Kim, D., & Reschly, A. L. (2006). Measuring cognitiveand psychological engagement: Validation of the student engagement instrument. Journal ofSchool Psychology, 44, 427–445. https://doi.org/10.1016/j.jsp.2006.04.002[3] Kashefi, H., Ismail, Z., & Yusof, Y. M. (2012). Supporting engineering students’ thinkingand creative problem solving through blended learning. Procedia - Social and BehavioralSciences, 56, 117–125. https://doi.org/10.1016/j.sbspro.2012.09.638[4] Ohland, M. W., Sheppard, S. D., Lichtenstein, G., Eris, O., Chachra
. Raghavan serves as a Professor and Associate Dean of Research and Graduate Studies at Embry Rid- dle Aeronautical University. Her research interests are in the areas of Mechanics of aerospace structures and materials. She joined UCF in Fall 2008 after completing her doctoral studies at Purdue University, Indiana, School of Aeronautics and Astronautics in the area of Structures & Materials. She obtained her M.S., Aeronautical Engineering in Structures at ISAE-SUPAERO, Toulouse, France where she also worked with Messier Bugatti in Velizy, Paris (S-92 wheels and brakes testing). Prior to this, she com- pleted her B.Eng in Mechanical Engineering at Nanyang Technological University, Singapore. She has 7 years of
scalablemodel for improving STEM education and addressing disparities in graduation rates andworkforce representation.AcknowledgementThe author wishes to thank Dr. Kimberly LeChasseur, Senior Research and Evaluation Associateat the WPI Morgan Teaching & Learning Center, for administering the student survey andproviding valuable support in interpreting the response data. The author also gratefullyacknowledges the generous contributions of WPI alumni donors, whose financial support made itpossible to acquire the equipment and instrumentation used in this course.References[1] R. Ram, S. Fuller, A. Panwar, J. Schulamn, K. Young, M. Ellsworth, S. Sotudeh and H. Kaur, "Aerospace and Defense Workforce Study," Ernst & Young LLP, 2022.[2] J. Marcus
talk about astronautics, I completely understand that a lot of the concepts that were discussed in the book are going to go over my head. Reading about Mary Jackson and her work in the Supersonic Pressure Tunnel was very interesting because of how many times we discussed wind tunnels in class, and reading about how integral they are to aerospace engineering was also extremely interesting. • Obviously, with aerospace engineering being such an important role in the Space Race in the late 1950's and early 1960's, society was being impacted by whether or not we were going to beat the Russians into space. Another major application of aerospace
versus that have not. Therefore, this research compares taxi-outand taxi-in times across three hub classifications (S/M/L) and ASDE-X implementation(Yes/No). This study aims to answer the following research question: What are the effects ofimplementing ASDE-X at – Small, Medium, and Large hub airports on the taxi-in and taxi-outtimes at these airports?Accordingly, the following hypotheses are tested in this paper: Ho: Taxi-out (or taxi-in) times are the same at Small hub (or Medium hub or Large hub) airports with ASDE-X as those without ASDE-X. Ha: Taxi-out (or taxi-in) times are different at Small hub (or Medium hub or Large hub) airports with ASDE-X as those without ASDE-X.METHODOLOGYTo answer the research question
checkpoints were met with time to spare. Student 16 indicatesthat they advocated for splitting the workload, which likely means that some of their earlycommunications to student 115 would have made suggestions as to splitting up tasks. However,student 115 wrote that they felt the splitting of the workload was not as balanced as they wouldhave liked. From these entries, it seems that student 16 may have delegated tasks or aspects ofthe project to student 115, which could have included the template selection. This would suggestthat student 16’s experience in project #2 may have led them to select the same template inproject #3. Indeed, in project #1, student 16 worked in the group of three, which also selected theWord template. The team reflections for
a blueprint for formative assessment of conceptualunderstanding in aerospace engineering middle-year courses. Therefore, future work includessimilar analysis of other flight dynamics topics (linearization, and longitudinal and lateral-directional dynamics) as well as a comparison of student and instructor mental models. Byfocusing on understanding the development of the students’ conceptual models of atmosphericflight mechanics topics, it is possible to design courses that are better suited to developing robustunderstanding.References[1] R. A. Streveler, S. Brown, G. L. Herman, and D. Montfort, “Conceptual change and misconceptions in engineering education: Curriculum, measurement, and theory-focused approaches,” in Cambridge Handbook
methods,” in 2005 IEEE international conference on systems, man and cybernetics, 2005, pp. 86–91.[7] D. DeLaurentis and R. K. Callaway, “A system-of-systems perspective for public policy decisions,” Review of Policy research, vol. 21, no. 6, pp. 829–837, 2004.[8] N. Guarino, D. Oberle, and S. Staab, “What Is an Ontology?,” Handbook on Ontologies, pp. 1–17, 2009, doi: 10.1007/978-3-540-92673-3_0.[9] Oxford English Dictionary, “https://www.oed.com/.”[10] T. R. Gruber, “A translation approach to portable ontology specifications,” Knowledge Acquisition, vol. 5, no. 2, pp. 199–220, Jun. 1993, doi: 10.1006/KNAC.1993.1008.[11] Z. Ming et al., “Ontology-based representation of design decision hierarchies,” J Comput
summary of the NTSB accidentinvestigation report, analyze the accident using PFMEA as per the SAE AS13004™ [3] standard,and present findings in a PFMEA table. To that end, the following sections highlight the PFMEAsteps, an analysis of the HAA process, and an illustration of PFMEA using an HAA accident.PFMEA - STEPSThe Failure Modes highlight the incorrect operation and how the failure occurs within theprocess. The Effects include the implications or consequences that the failure has on the designedfunction. During the PFMEA, the likelihood of occurrence (O), the severity of the event (S), andthe detectability (D) of the failure before its materialization are ranked from 1 to 10 to calculatethe Risk Priority Number (RPN = Severity x Occurrence x
impact, the project identifies several short- and long-termperformance goals. These goals serve as guiding benchmarks for recruitment, training,implementation, and student outcomes. Table 2 outlines these key goals and their correspondingevaluation measures.Table 2. Proposed Framework: short- and long-term goals and suggested assessment Performance Goal(s) Key Measure(s) Recruitment of HS Number of HS teachers who express interest and willingness to Teachers participate in training and teach the aviation curriculum Professional development Number of HS teachers who achieve FAA Part 107 certification and of HS Teachers demonstrate readiness to deliver
ground stations are RF ground stations and use either aparabolic dish antenna or a Yagi antenna [1]. Parabolic dish antennas are shaped as concaveshell, while Yagi antennas have small perpendicular rods that run along a long main rod. Thebenefits of parabolic dish antennas are that they are less complex, inexpensive, and highlydirectional [10]. The detriment of parabolic dish antennas is that their size depends heavily ongain and desired frequency [10]. The benefits of a Yagi antenna are that they are highlydirectional and relatively inexpensive [10]. The detriments are that they have low gains if small,and high gains if large, therefore, large bandwidth results in a larger design [10]. Parabolic dishantennas tend to be used in the S-band, while
significantly, as seen in Figure 2, demonstrating the limitations of generativeAI in solving problems in aerospace engineering. 100 90 80 70 60 50 40 30 20 10 0 Remember Understand Apply Analyze ChatGPT-4 Gemini Fig. 2. Percent correct by ChatGPT-4 and Gemini for each question type.The “Remember” level of Bloom’s taxonomy relies on recalling of previously learned facts andconcepts. Chat GPT-4’s
/s11165-006-9029-2[3] Oermann, M. H. (1999). Critical thinking, critical practice. Nursing Management, 30(4),40C-40F, 40H-40I. Retrieved from https://www.proquest.com/scholarly-journals/critical-thinking-practice/docview/231387045/se-2[4] S. Schrader, W. M. Riggs, & R. P. Smith (1993). Choice over Uncertainty and Ambiguity inTechnical Problem Solving, Journal of Engineering and Technology Management, 10, 1993,https://dspace.mit.edu/bitstream/handle/1721.1/46980/choiceoveruncert00schr.pdf?s[5] Furnham, A. & Ribchester, A. (1995). Tolerance of Ambiguity: A Review of the Concept, ItsMeasurement and Applications. Current Psychology: Developmental ° Learning • Personality °Social, Fall, 1995, Vol. 14, No. 3, 179-199[6] Furnham, A., & Marks
rocket. This initial task ensuredshe was well-prepared for the more specialized responsibilities to follow. Afterward, she delvedinto the previous work conducted with ULA on Centaur V, enabling her to catch up to thecurrent state of their test readiness process.The Vulcan Centaur, a specific rocket design developed by ULA, includes an upper stage knownas the Centaur V. This stage is fueled by liquid hydrogen and liquid oxygen, equipped with twoengines, and features cryogenic tanks insulated with foam. ET30’s primary focus was on CentaurV’s upper stage section. The Centaur V test article overview involved several critical objectives:structurally qualifying the internal and external hardware against critical failure modes, designlimits, and
[1] M. Clark et al., “Academic Pathways Study: Processes And Realities,” in 2008 Annual Conference & Exposition Proceedings, Pittsburgh, Pennsylvania: ASEE Conferences, Jun. 2008, p. 13.137.1-13.137.23. doi: 10.18260/1-2--3564.[2] R. Stevens, K. O’Connor, L. Garrison, A. Jocuns, and D. M. Amos, “Becoming an Engineer: Toward a Three Dimensional View of Engineering Learning,” J. Eng. Educ., vol. 97, no. 3, pp. 355–368, Jul. 2008, doi: 10.1002/j.2168-9830.2008.tb00984.x.[3] R. G. Hadgraft and A. Kolmos, “Emerging learning environments in engineering education,” Australas. J. Eng. Educ., vol. 25, no. 1, pp. 3–16, Jan. 2020, doi: 10.1080/22054952.2020.1713522.[4] K. A. Smith, S. D. Sheppard, D. W. Johnson, and R. T. Johnson
guidelines in [10]. The iterative refinement process, which included theoretical calculationsand simulation, reflects approaches from [11]. 1 L = 2 𝜌𝜌𝑉𝑉 2 𝑐𝑐𝑙𝑙 𝑆𝑆 (1) 1 D = 2 𝜌𝜌𝑉𝑉 2 𝑐𝑐𝑑𝑑 𝑆𝑆 (2)The formula for lift force includes air density (ρ), flight speed (V), lift coefficient (𝑐𝑐𝑙𝑙 ), and wingarea (S). It is typically assumed that the lift force is equal to the UAV's instantaneous weight duringcruise and loiter phases. The lift
] Hadim, H.A., Esche, S. K., ‘Enhancing the Engineering Curriculum through Project-Based Learning,’ 32nd Annual Frontiers in Education, pp. F3F-F3F, (2002), doi:10.1109/FIE.2002.1158200.[5] Cassie Wallwey, Meris M. Longmeier, Donnelley Hayde, Julia Armstrong, RachelKajfez, Renee Pelan, Consider “HACKS” when designing hackathon challenges: Hook, action,collaborative knowledge sharing, Frontiers in Education, 10.3389/feduc.2022.954044, 7, (2022)[6] Fernanda Gobbi de Boer Garbin, Carla Schwengber ten Caten, Diego Augusto de JesusPacheco, ‘A capability maturity model for assessment of active learning in higher education,’Journal of Applied Research in Higher Education, 10.1108/JARHE-08-2020-0263, 14, 1, (295-316), (2021)[7] S. Hood, N
theseairports. This research aims to find whether taxi time at airports differ by airport hubclassifications and by the number of hot spots on airports.For this study, a sample of 33 airports was selected from the 77 airports listed in the AviationSystem Performance Metrics (ASPM) [5] data published by the FAA. The researchers sampledthe 11 busiest airports (by number of operations conducted) from each of the three hubcategories – Large (L), Medium (M), and Small (S) – as identified by the National Plan ofIntegrated Airport Systems (NPIAS) [6]. The 20 busiest days (by number of operationsconducted) from May 01, 2022, to September 30, 2022 were selected for each airport. From theASPM dataset, average quarter-hour taxi-in and taxi-out times between 06
classrooms enhances studentfoundational knowledge, hands-on capabilities, and overall engineering design aptitude.Integrating hands-on activities into massive open online courses (MOOCs) could increasestudent access to more real-life learning opportunities. This paper reports on instructor(s)experiences while developing and implementing an introductory rocketry course with bothonline and hands-on components intended for high school and early collegiate students.IntroductionFrom 2016 to 2021, the space industry grew by an estimated 18.4% [1] with nearly half of thegrowth occurring in 2021. The demand for work in the space and defense industry is high. Yet,many young students still do not see a place for themselves in the industry, especially
Paper ID #42804Design of an Aerospace Industry-Informed Technical Writing and CommunicationCourseGlen Roderic Coates, Pennsylvania State University Glen R Coates received his B. S. degree in Environmental Engineering from Penn State University. He then went on to receive an M. S. degree in Mechanical Engineering at Penn State and a second M. S. degree in Management of Technology from Rensselaer Polytechnical Institute. Working in the Aerospace industry as a Senior Analytical Engineer for the past 45 years, he also has taught undergraduate mathematics and physics at several institutions as an adjunct professor. These
underdeveloped by the end of their college career.Finally, based on these findings, further research needs to be done to establish the scalability ofstudent-let recruitment processes. As demonstrated by the results section, the time commitmentneeded from the recruiters is the biggest cost of participating in this activity. Therefore, newrecruitment strategies must be developed to support the growth of the program in the long term.References[1] R. V. Shah, T. J. Albert, V. Bruegel-Sanchez, A. R. Vaccaro, A. S. Hilibrand, and J. N. Grauer, “Industry Support and Correlation to Study Outcome for Papers Published in Spine:,” Spine, vol. 30, no. 9, pp. 1099–1104, May 2005, doi: 10.1097/01.brs.0000161004.15308.b4.[2] O. Meade, M. Millar, T. Hall, C
tool in the aerospace industry and is used in a variety ofapplications. Early aerospace VR pioneers have been using the technology since the 80’s; onesuch pioneer is NASA, who used large VR rigs for astronaut training [3]. Another long-standingexample is use for pilot training, in which aviators can simulate flights from a digital cockpit onthe ground [4]. Modern advancements have expanded applications beyond these examples. Forinstance, VR can be used for microgravity training to potentially reduce space motion sicknesscaused by the feeling of weightlessness [5]. Engineers also utilize VR for engine design, allowingdesigners to both visualize and optimize components for turbomachinery [6]. Additionally, VR isbeing explored as a method for
will offer afaculty workshop on graduate-level writing support in STEM locally and broadcast via a virtualmeeting platform in the final year of the award. This workshop will feature the grant’s findingsand materials.7. Acknowledgements This work has been funded by a National Science Foundation Innovations in GraduateEducation grant, award number 2224967.8. References[1] S. Simpson, R. Clemens, D. R. Killingsworth, and J. D. Ford, “Creating a Culture of Communication: A Graduate-Level STEM Communication Fellows Program at a Science and Engineering University.,” Across the Disciplines, vol. 12, pp. 167–187, 2015.[2] D. Allison, L. Cooley, J. Lewkowicz, and D. Nunan, “Dissertation writing in action: The development of a
Aerodynamics: A Design/Build/Test Experience forUndergraduate Mechanical Engineering Students”, 2006 Annual Conference & Exposition,Chicago, Illinois, 2006, June. ASEE Conferences, 2006. [Online]. Available:https://peer.asee.org/1182. [Accessed Feb 22, 2023].[13] S. Post, S. Seetharaman, and S. Abimannan, “A Design Build Test Fly Project InvolvingModeling, Manufacturing, And Testing”, 2010 Annual Conference & Exposition, Louisville,Kentucky, 2010, June. ASEE Conferences, 2010. [Online]. Available:https://peer.asee.org/15791. [Accessed Feb 22, 2023].[14] M. Kaushik. Thin Airfoil Theory. In: Theoretical and Experimental Aerodynamics.Springer, Singapore. 2019. [Online]. Available: https://doi.org/10.1007/978-981-13-1678-4_5.[Accessed February 26
thecourse are already working at a local airport (either full-time or part-time) and encouragesstudents to reflect on areas for improvement within their work environment or observations madeduring their work experiences. 3 out of the 5 student teams in 2023 fall semester select theirproject topic based on their work experience. The analysis of assessment data from studentreports in the fall semesters of 2022 and 2023 reveals a significant improvement in studentperformance in the latter, suggesting the effectiveness of the adjustments implemented in 2023.References[1] T. J. Yosso, "Whose culture has capital? A critical race theory discussion of community culture wealth," Race Ethnicity and Education, vol. 8, no. 1, pp. 69-91, 2006.[2] S
: 𝑺𝒓𝒆𝒇 = 𝝅𝒓𝟐𝑩𝑻 + 𝒘𝑨𝑩 𝒍𝑨𝑩 𝐬𝐢𝐧 (𝜽°) Eq. 2Using OpenFOAM, we wrote a script that iterates through each rocket model and simulates thedrag coefficients and forces at varying airbrake deflection angles. These values will then be storedin a lookup table, which the algorithm will reference during flight. The cluster drastically decreasedthe time since multiple simulations were run simultaneously on different nodes. Figure 5 illustratesthe velocity values on a 60° airbrake deflection model at 205 m/sec (671 ft/s or 457.5 mph). Figure 5: Paraview Post-Processing of Model with 60° Deflection of the Airbrakes (m/s)My team manufactured most of the rocket’s structures, such as the lower airframe, fins
,” presented at the 2008 ASEE Annual Conference &Exposition, Pittsburgh, PA, USA, doi: 10.18260/1-2—4414.[2] W. Liu, R. Carr, and J. Strobel, “Extending teacher professional development through anonline learning community: A case study,” J. Educ. Technol. Dev. Exch., vol. 2, no. 1, pp. 99–112, 2009, doi: 10.18785/jetde.0201.07.[3] M. Dalal, A. Iqbal, and A. R. Carberry, “Blended implementation of existing precollegeengineering programs: Teacher perspectives of program impact,” IEEE Trans. Educ., pp. 1–13,2023, doi: 10.1109/TE.2023.3338610.[4] Engineering in K-12 Education: Understanding the Status and Improving the Prospects.Washington, DC, USA: National Academies Press, 2009. doi: 10.17226/12635.[5] S. Brophy, S. Klein, M. Portsmore, and C