-Off Gross Weight (TOW).• Use a Wing Loading (W/S) from benchmarking, and find planform area S. Use airport gate or other commonsense constraints, or again benchmarking, to fix span, hence find aspect ratio.• For a selected cruise altitude and speed, find the lift and induced drag coefficients.• Guess a value for low speed zero-lift drag coefficient. Hence find total cruise drag, and speed for minimum drag. Find cruise L/D.• Starting with a thumb-rule (typically, that installed sea level static thrust is 30% of TOW, and that the plane must take off with 1 engine out), select a suitable engine and number of engines.• For the selected engine, find thrust-specific fuel consumption from published data, and estimate thrust at
(3), 16-21. Retrieved from http://ezproxy.libraries.wright.edu:2048/login?url=http://search.ebscohost.com/login.aspx?dire ct=true&db=bth&AN=88397921&site=ehost-liveAtkinson, P., & Nicholls, L. (2013). Demystifying lean culture change' and continuous improvement. (cover story). Management Services, 57(3), 10-15. Retrieved from http://ezproxy.libraries.wright.edu:2048/login?url=http://search.ebscohost.com/login.aspx?dire ct=true&db=bth&AN=90521885&site=ehost-liveBalzer, W. (2010), Lean higher education - increasing the value and performance of university processes. New York, New York: Taylor and Francis Group.Chopra, S., & Meindl, P. (2013). Supply chain management : Strategy, planning, and
572 students. Table 2compares the results of the current study with those of past studies reported by Felder andSpurlin.3 The Cronbach alpha values obtained in this study show a similar pattern to past studiesand are comparable in magnitude to the values obtained in three of the four studies. TheSensing-Intuitive (S-N) scale and the Visual-Verbal (V-V) scale both were found to havereliability in excess of 0.7, whereas the Active-Reflective (A-R) and Sequential-Global (S-G)scales had Cronbach alphas of 0.60 and 0.56, respectively.The question is whether the measured alpha values signify acceptable reliability. Tuckman4distinguishes between instruments that measure a univariate quantity, such as a test of knowledgeof a subject area or mastery
. Their hard work and dedication is whatmakes the Engineering Exploration Days possible.References 1. Marofsky, M., “In Practice: Training the MTV Generation. From Sesame Street to MTV, your newest generation of employees was raised on the boob tube. How do you get through to those young adults? Try taking a lesson from music videos.,” Training and development journal, 44(6), June 1990, 9-15. 2. Robyn, S., “Algebra for the MTV Generation,” Media and Method, 39(3), Jan 2003 6-9. 3. Zimmermann, P. G. and Pierce, B., “Mangers Forum – Managing the MTV Generation,” Journal of Emergency Nursing, 24(5), 1998, 446. 4. Jones, T. and Berger, C., “Students' Use of Multimedia Science Instruction: Designing for the MTV
from this workshop into your courses and teaching plans.Several of the above sessions were actually split across days, and/or revisited throughout theweek. In most cases, we were able to present grade-appropriate (grades 4-8) material in each ofthe sessions.The workshop attendees were asked to break up into 3 static “working groups”. Whenever agroup experiment was to be performed, the group would work as a team on devising theexperimental setup, determining the method(s) to be used for collecting the data, and interpretingand presenting the results of the experiment to the entire workshop. Groups were free to, and infact, encouraged to “engineer” their own experimental design. When the groups presented theirresults and interpretations to
DBT projects spanning severalclasses. Additionally, this project incorporated training and development components and anoutreach component for high school students. The objectives and outcomes of the project atUniversity of Idaho are completely in-line with the needs and goals at FIU2. The PI(s) intend toadapt this project for use in a the thermal-fluid sciences by the development of a laboratoryfacility to support DBT student projects focused on heat exchanger design and HVAC (heating,ventilation, and air conditioning) duct system design. Cross Flow Heat Exchanger DBT. The PI(s) will update a current piece of teachingequipment in the laboratory (PA Hilton Cross Flow Heat Exchanger Apparatus). The device iswell suited for the DBT
(s) is completed and delivered, new projects are identified by the team andcommunity partner allowing the team to continue to work with the same community partner formany years. Each undergraduate student may earn academic credit for several semesters,registering for the course for 1 or 2 credits each semester. The credit structure is designed toencourage long-term participation, and grants multi-year projects of significant scope and impactto be undertaken by the teams.Each student in the EPICS Program attends a weekly two-hour meeting of his/her team in theEPICS laboratory. During this laboratory time the team members will take care ofadministrative matters, do project planning and tracking, and work on their project. All studentsalso
given feedbackmeeting will be addressed and resolved by the next semester. As with the department feedbacksessions, the feedback is typically related to the desired program outcomes shown in Figure 1.16. Advisement FeedbackAll students are required to meet with their academic advisor at least once every semester. Ateach of these meetings, the advisor makes a point of inquiring as to the student's progress andwhether there are any specific concerns that the student may have regarding more or lessanything. Very often, if there are problems with one of the courses, they will bring it to theattention of the advisor. The advisor will then either investigate, or pass the concern(s) on to thechairperson and/or administrative assistant, or if feasible
an . ch n an s an a an
-assisted adaptation of the lecture topics to specific project requirementsin the form of deliverables. These workshops typically involve the industry liaison(s) viateleconferencing. The process’ underlying support is provided in terms of student training in theuse of development tools and techniques. Hardware-oriented IPPD process deliverables Software-oriented IPPD process deliverables Project Management Project Management Deliverables Deliverables Conceptual Design System Level Detail Product
Education, National Center for Education Statistics.11. Weiss, I. R. (1994). A profile of science and mathematics education in the United States: 1993 Chapel Hill, NC: Horizon Research.12. Oakes, J. (1990). Multiplying inequalities: The effects of race, social class, and tracking on opportunities to learn mathematics and science. Santa Monica, CA: The Rand Corporation.13. Astin, H. S., & Sax, L.J. (1996). Developing scientific talent in undergraduate women. In Davis, C. et al. (Eds.), The equity equation: Fostering the advancement of women in the sciences, mathematics, and engineering. (pp. 96-121). San Francisco: Jossey-Bass.14. Molad, C. B. (2000). Women weaving webs: Will women rule the internet? Houston
not subscribe to this point of view, we do recognize that, inengineering, conventional teaching methodologies serve to condition the more analyticalside of the brain at the expense of developing intuitive faculties. Rather than accept thedisparity of engineering and art as being irreconcilable, we find that in combination thesedisciplines afford educational opportunities that result in synthesizing creative processingand culturing integrated thinking skills. Rather than convert engineers to artists, we striveto culture artful engineers.Bibliography1 Kirby, Richard S. Withington St., and others (1990), Engineering in History, (New York: DoverPublications), p. 2.2 Kirby, Richard S. Withington S. and others (1990), p. 2-3.3 Bloomer, Kent C
their own company. Timmons (Timmons, J. &Spinelli, S., 2004)[19], asserts that formal education has limited capacity to instillentrepreneurial drive in students, primarily due to schools offering minimal courses onbusiness knowledge and preparation. However, with programs like TYE which are scalableand replicable, students find it easier to move into entrepreneurship.Conclusion & Implications for Further ResearchIn conclusion, the responses collected from TYE participants demonstrate that TYE-supported entrepreneurial education and training positively influences students to pursue acareer in STEM and/or start their own company. Moreover, the student-led startups werefocused on value creation for other people. Engaging with programs such
in a simple equation shown in equation (1) [41]. These variables are laser power,scan speed, hatching distance and layer thickness. The relationship between energy density, laserpower, scan speed, hatching distance and layer thickness can be expressed as, 𝑃𝐿 𝐸=𝑣 (1) 𝑠 ×ℎ𝑠 ×𝑠Where, E is Energy Density J/mm3, PL is the laser power, vs the scan speed, hs the hatching distance and s the layer thickness. The governing equation shown in Equation (1) can guide us to systematically control theparameters in metal 3D printing process. One of the issues that need to be controlled in metal AMis porosity
part would also help the educators for effective quiz orientation of Kahoot. In the appdevelopment part, step by step procedure was described so that any other educator could buildsuch kind of student friendly apps for the android smartphone devices. The paper described thesoftware development kit along with the android studio and modules for the convenience of theaudience of this paper.Data Availability StatementThe code used to develop the applications will be available upon request to the authors.References1. Chachra, S. D., Naiksatam, A., & Khanchandani, K. (2019). Use of Kahoot As A FormativeAssessment Tool in Engineering Education. Journal of Engineering EducationTransformations, 32(4).2. Black, P. (2008). Formative assessment in the
to reflect on the problem and their thought process and identify andcorrect their gap(s) in knowledge and/or misconceptions. They also need to be able to apply thekey concept of the question to other contexts through selectively abstracting core knowledge.Generating explanations about their thought process when answering exam questions provides astructured way for students to develop metacognitive skills. Such ability to abstract out the corestructural information from a given context has been promoted by self-explanation [14] andself-testing [24]-[25] in which students have a chance to metacognitively revisit the scope oftheir understanding of the materials.Along with metacognition, the expectation to explain one’s thoughts to someone else
to uncover the co-constructors' experiences with support(or lack of support) within their STEM department's academic culture and in context to theiridentity as a Black student. Example questions from the interview protocol include: How if atall, are your lived experiences in STEM influenced by you being Black? How would you describethe culture of your STEM program for Black doctoral students? and How is the experience ofBlack students in your program different compared to non-Black students? After the interview,we distributed a $50 Amazon e-gift card to the co-constructors.Positionality In alignment with Secules et al.’s (2021) conceptualization of positionality, weconsidered various facets of our team's positionality during this study
areas for futuredevelopment and improvement.A Brief and Unofficial History of the UGA College of EngineeringTo provide context for this paper’s central topic, a brief history of how UGA came to have a Col-lege of Engineering will be useful. What follows is a largely oral history gathered and consoli-dated from UGA engineering faculty members, all of whom wish to remain anonymous.By the late 1800’s, the state of Georgia had two engineering colleges, UGA and the Georgia In-stitute of Technology (hereafter known as Georgia Tech). UGA graduated its first engineeringstudents in 1868. However, during the Depression in the 1930’s, the state determined it could notafford to fund two engineering colleges and decided to focus the engineering program at
., “Teacher’s Guide to Standards-Based Learning: An Instruction Manual for Adopting Standards-Based Grading”, Curriculum, and Feedback. 1st ed., Marzano Research Lab, 2018.[6] H. Çakır, and B.A. Bichelmeyer, “Effects of Teacher Professional Characteristics on Student Achievement: An Investigation in Blended Learning Environment with Standards- Based Curriculum.” Interactive Learning Environments, vol. 24, no. 1, 2016, pp. 20–32, https://doi.org/10.1080/10494820.2013.817437.[7] D. Alvunger, “Teachers’ Curriculum Agency in Teaching a Standards-Based Curriculum.” Curriculum Journal (London, England), vol. 29, no. 4, 2018, pp. 479–98, https://doi.org/10.1080/09585176.2018.1486721.[8] S. George, et al
/2022-01-0078/13. Fanas Rojas J, Brown N, Rupp J, Bradley T, Asher ZD. Performance evaluation of an autonomous vehicle using resilience engineering. In: SAE Technical Paper Series [Internet]. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International; 2022. Available from: https://www.sae.org/content/2022-01-0067/14. Rojas JF, Kadav P, Brown N, Meyer R, Bradley T, Asher Z. Quantitative Resilience Assessment of GPS, IMU, and LiDAR Sensor Fusion for Vehicle Localization Using Resilience Engineering Theory. SAE Technical Paper; 2023.15. Sharma S, Ekti AR, Rojas JF, Brown NE, Pesin D, Wang CR, et al. Development and Evaluation of Chip-Enabled Raised Pavement Markers for Lane Line Detection. In: 2022 IEEE Sensors
this procedure was calculating the sample mean, samplevariation, and sample standard deviation for the processes by using equations 1, 2, and 3respectively. ∑𝑥Equation 1: 𝑥̅ = 𝑛 ∑(𝑥−𝑥)2Equation 2: s2 = 𝑛−1 ∑(𝑥̅−𝑥̅)2Equation 3. s = √ 𝑛Once these numbers were obtained, the groups underwent the process of creating control charts.To do this, the center line and upper and lower control limits were calculated using the equationsbelow:Equation 4. UCL =𝑥̅ + 3σ/√nEquation 5. CL = 𝑥̅Equation 6. LCL = 𝑥̅ - 3σ/√nA control chart was created for the turning process itself and for the overall turning project forboth the Spring 2021 and Fall 2021 semesters. The control charts can be
institutecurriculum. A total of three institutes were held—in spring 2021, fall 2021, and spring 2022. Table 2: Curriculum of the project’s institute Week Topic(s) Covered 1 Community formation, social realities under investigation, pictorial systems mapping 2 Pictorial systems map refinement, scoping the social reality to investigate 3 Identifying appropriate theories, analyzing published qualitative research 4 Deep dive into the Q3 framework, aligning study design with forms of validation 5 Applying the Q3 framework to participant projects (small working group format) 6 Using methodologies, overview of common qualitative methodologies 7 Qualitative data analysis, analysis software, and coding practice 8 Wrap up
Knowledge for the 21 st Century: Preparing the Civil Engineer for the Future. ASCE: 2nd edition. 2. ASME. (2010). Creating the Future of Mechanical Engineering Education: Phase 1 Report. ASME Center for Education Task Force: December 15. 3. Besterfield-Sacre M., Ozaltin N. O., Shartrand A., Shuman L. J. (2011). Understanding the technical entrepreneurship landscape in engineering education. Annual Conference and Exposition of the American Society for Engineering Education (ASEE). 4. Brush, C. (2013). Does Entrepreneurship Education Matter? Forbes. June 24, 2013. 5. Byers, T., Seelig, T., Sheppard, S., and Weilerstein, P. (2013). Entrepreneurship: Its Role in Engineering Education. The Bridge on Undergraduate
Technology Doug Carroll is a Professor of Mechanical Engineering at Missouri S&T and is the Director for the Cooperative Engineering Program, a cooperative effort with Missouri S&T and Missouri State University. Dr. Carroll founded the student design center at Missouri S&T and served as its first director. He also served as the advisor for the solar car project for 12 years, including two national champion teams. He has worked with many students on design projects in his career. Page 24.964.1 c American Society for Engineering Education, 2014
reviewer for several other technical journals. She has received a number of awards, including ASEE Fellow, the McGraw Award, and, most recently, the Berger Award. In addition to activity in the ethics division, she is also a member of the Engineering Technology Division’s executive board. She serves on several national committees. Marilyn is also active in the Association for Practical and Professional Ethics, serving as a moderator for the Ethics Bowl and proceedings editor, and the Association for Business Communication; she s a regional vice-president and a section editor for ABC’s pedagogical journal
Biomedical Engineering and Electrical Engineering, respectively.Miss Xi Zhan, Department of Educational Studies, The Ohio State University Xi Zhan is a doctoral student of Educational Administration at The Ohio State University. She holds an M. A. in Educational Administration from The Ohio State University, U. S. A. and a B. A. in Teaching Chinese as a Second Language from Southwest University, China. She has experience in teaching Chinese language in a vocational school in Thailand and teaching children who have intellectual disability and challenging behavior in China and U.S.A. She also assisted with an instructional design of multimedia case studies on technology integration for teachers and school leaders during her
-mail: lrilett2@unl.eduBibliography1 Anderson-Rowland, M.R., Reyes, M. A., Jordan, C., & McCartney, M. A. (1999). A Model for Academia, Industry, and Government Collaboration for K-12 Outreach. 29th ASEE/IEEE Frontiers in Education Conference 13a7-2. San Juan, PR: ASEE/IEEE.2 Committee on Future Surface Transportation Agency Human Resource Needs. (2003). The workforce challenge: Recruiting, training, and retaining qualified workers or transportation and transit agencies (Special Report No. 275). Washington DC: Transportation Research Board.3 Institute of Education Science. (2009). National Assessment of Educational Progress. Retrieved from http://nationsreportcard.gov/.4 Ivey, S
).Retrieved January 1, 2014, from http://ecee.colorado.edu/~mathys/ecen2250/abet/criterion3.html2. CubeSat Design Specification. (n.d.). CubeSat. Retrieved January 1, 2014, fromhttp://www.cubesat.org/images/developers/cds_rev12.pdf3. Factsheets : AFOSR: University Nanosat Program (UNP). (2012, August 7). Factsheets : AFOSR: UniversityNanosat Program (UNP). Retrieved January 1, 2014, fromhttp://www.wpafb.af.mil/library/factsheets/factsheet.asp?id=198014. Ford, R. M., & Coulston, C. S. (2008). Design for electrical and computer engineers: theory, concepts, andpractice. Boston: McGraw-Hill.5. Gilliland, S., Williams, B., Akard, C., and Geisler, J. (2014, March). Learning Through Efficient ProcessorSystems for a Nanosatellite. Paper presented at ASEE
[Internet]. New York, NY, USA: ACM; 2004 [cited 2012 Feb 14]. p. 135–42. Available from: http://doi.acm.org/10.1145/985692.98571014. McGilly K. Cognitive science and educational practice: An introduction. Classroom lessons: Integrating cognitive theory and classroom practice [Internet]. MIT Press; 1996 [cited 2014 Jan 4]. Available from: http://books.google.com/books?hl=en&lr=&id=YyiywUE- M0YC&oi=fnd&pg=PR7&dq=%E2%80%9CCognitive+science+and+educational+practice:+An+introduction, %E2%80%9D+mcgilly&ots=hsx7tDRdU7&sig=FZDyQ2fop4CST7tDfGlULVprYYo15. Olson S, Loucks-Horsley S. Inquiry and the National Science Education Standards: A guide for teaching and learning [Internet]. National Academies Press; 2000
Page 24.1124.1423. Golde, C. & Dore, T. At cross purposes: What the experiences of today’s doctoral students reveal about doctoral education. 1–58 (2001).24. Nerad, M., Aanerud, R. & Cerny, J. in Paths to Profr. Strateg. Enrich. Prep. Futur. Fac. (Wulff, D. H. & Austin, A.) 137–58 (Jossey-Bass, 2004).25. Dees, J. G. The meaning of social entrepreneurship. Duke Univ. Fuqua Sch. Business, Cent. Adv. Soc. Entrep. 1–5 (2001). at 26. Magner, D. Critics urge overhaul of Ph.D. training, but disagree sharply on how to do so: How graduate school alters students’ career plans. Chron. High. Educ. 46, 19 (2000).27. Carnevale, A., Rose, S. & Cheah, B. The college payoff: Education, occupations, lifetime