1 2Instructor 3 2 --- 1 1 2 3 1 1 5 1 --- ---Instructor 4 2 1 1 4 1 --- 1 --- --- 4 2 1Instructor 5 2 --- 3 3 1 ---Instructor 1’s Case:Instructor 1 believes that MEAs have the potential to change the way that engineering studentslearn to be engineers. He is particularly interested in how MEAs can facilitate ethics education inengineering and how
: • # of accidents (based on instructor • total # of chips observation) • minimum # of chips collected by an • # of chips collected by E-W individual approaches • maximum # of chip collected by an • # of chips collected by N-S individual approachesAt the end of each scenario these MOEs will be tabulated to demonstrate how well each level ofcontrol serves demand. See Table 1: Page 15.249.6Table: 1 Measures of Effectiveness for Each ScenarioScenario # Chips E- # Chips Tot
problemis shown in Fig. 1. Both of the mathematical models use the first law of thermodynamics forsteady flow case together with chemical equilibrium for the products of combustion, whichfollows from the second law of thermodynamics. The second law, which is the minimization ofGibbs free energy, was implemented in different but equivalent ways by the two authors. In whatfollows, we present the mathematical models used in these two approaches. Q& cv x lb-mole/s H 2 combustion chamber combustion
the derivation of the equations, and their application does not requireany understanding of their origin. However, in our approach to graphical analysis studentsessentially derive the constant acceleration equations each time they solve a problem. A simpleone-dimensional word problem will illustrate the thought process that our students learn tofollow when solving all kinematics problems. A car is moving at 25 m/s when the rider applies the brakes, giving the car a constant deceleration. During braking the car travels 80 meters while reducing its speed to 15 m/s. Find the acceleration of the car and the time required for braking.The solution to this problem is illustrated in Figure 5. Of particular importance to this solutionprocedure
Initial Propellant Type Impulse Thrust Duration Delay Mass Mass (N-s) (N) (s) (s) (gm) (gm) 1/2A6-2 1.25 6.23 0.2 2 15.0 1.56 A8-3 2.50 7.79 0.32 3 16.2 3.12 B4-4 5.00 4.15 1.1 4 21.0 8.33 In the engine type designations, for example A8-3, the letter denotes the total impulseproduced by the engine: 1/2A engines produce an impulse between 0.626 and 1.25 N-s,A engines produce between 1.26 and 2.50 N-s, and
Session 2793. Graduate Spacecraft Education in the AFIT Department of Aeronautics and Astronautics M. E. Franke and S. G. Tragesser Air Force Institute of Technology Wright-Patterson AFB, OH 45433-7765Abstract Admission requirements, degree requirements, and the graduate programs at the Air ForceInstitute of Technology (AFIT) in the Department of Aeronautics and Astronautics related tospace science and engineering are described. The Department of Aeronautics and Astronauticshas three graduate programs related to
accomplish passivefiltering and mitigate emissions from components which generate quickly-varying signals (e.g. acomputer’s central processing unit which uses a GHz clock).Laboratory Exercise #2: Common-Mode ChokeIn the second experiment, students fabricate a radio-frequency choke by winding insulated wirein two sets of coils around a single ring-shaped ferrite core. Then the students evaluate theperformance of the choke in different (but related) scenarios. Provided in Figure 3 is theequipment list for the activity and a picture of one such choke.The students apply 2-V square waves to two different circuits with the choke inserted betweenthe source(s) and load(s), in two different arrangements. In the first circuit, shown in Figure4(a), the
Annual Conference of IEEE, November 6-10, 2005.[4] Costas-Pérez, L., Lago, D. & Fariña, J., 2008, “Optimization of an industrial sensor and data acquisition laboratory through time sharing and remote access,” IEEE Transactions on Industrial Electronics, 55(6), 2396-2404.[5] Blais, F., 2004, “Review of 20 years of range sensor development,” Journal of Electronic Imaging, 13(1), 231-243.[6] Karayev, S., Jia, Y., Barron, J., Fritz, M., Saenko, K. & Darrell, T., 2011, “A category-level 3-D object dataset: putting the Kinect to work,” IEEE International Conference on Computer Vision Workshops, November 6-13, 2011, Barcelona, Spain, pp. 1167-1174.[7] Kinect Sensor, http://msdn.microsoft.com/en-us/library/hh438998.aspx, accessed
know and do,” Phi Delta Kappan, vol. 89, no. 2, pp. 140–145, 2007. [6] S. Abramovich, C. Schunn, and R. M. Higashi, “Are badges useful in education?: it depends upon the type of badge and expertise of learner,” Educational Technology Research and Development, vol. 61, pp. 217–232, 2013. [7] F. Khaddage, R. Baker, and G. Knezek, “If not now! when? a mobile badge reward system for k-12 teachers,” in Society for Information Technology & Teacher Education International Conference, vol. 2012, no. 1, 2012, pp. 2900–2905. [Online]. Available: http://www.editlib.org/p/40029 [8] J. L. Santos, S. Charleer, G. Parra, J. Klerkx, E. Duval, and K. Verbert, “Evaluating the use of open badges in an open learning environment,” in
the work of Flanagan et al.'s [5] work-in-progresspaper that examined how adding empathy into first-year engineering curriculum changedstudents’ perspectives on the role of an engineer. Engineering design revolves fundamentallyaround meeting user needs and to offer solutions that meet diverse needs, engineers need tocultivate an understanding of various perspectives. Empathy plays a crucial role in enablingengineers to consider the implications of their design decisions on people thoroughly, andemploying empathy can effectively address sociocultural and political aspects of designs. Thisnecessitates its inclusion in engineering classrooms. Flanagan et al. found that through theincorporation of empathy into the curriculum, students begin to
of Central Florida Professor Hyoung Jin Cho is the Associate Chair of the Department of Mechanical and Aerospace Engineering at the University of Central Florida. He coordinates two undergraduate programs – B. S. Mechanical ©American Society for Engineering Education, 2024 Paper ID #43410Engineering and B. S. Aerospace Engineering. He has published over 130 peer-reviewed journal andproceeding papers. He has 12 and 6 patents granted in the U.S. and Korea, respectively, in the areas ofsensors, microfluidic devices, and micro/nanofabrication. His current research focus is on miniaturizedenvironmental sensors and sample
experience as an engineer and a mathematics teacher, he promotes the expansion of equitable and high-quality learning opportunities for both engineering and K–12 students through mathematical modeling. His research focuses on exploring the process of refining mathematical ideas and engineering concepts that engineering students develop while engaging in model development sequences built in real engineering contexts.Dr. Joel Alejandro Mejia, The University of Texas at San Antonio Dr. Joel Alejandro (Alex) Mejia is an associate professor with joint appointment in the Department of Bicultural-Bilingual Studies and the Department of Biomedical and Chemical Engineering at The University of Texas at San Antonio. Dr. Mejiaˆa C™s
effectively replace other lessinteractive techniques such as working through problems at the blackboard or flashing throughpower point slides. These simple exercises provided dramatic proof of how a small alteration inpresentation format can have a substantial impact in student involvement and interaction. Theseparticular examples seemed especially effective in generating dialog and discussion. A Student is calculating the convective heat transfer coefficient for fully developed water flow (Vave = 0.2 m/s, T = 30C) through a rectangular constant temperature tube. The student’s calculations (shown below) contain several common errors. Determine which of the following sections have errors and which are correct. Do not consider cascading errors
Orleans,LA.11. Gibbons, S., Kimmel, H., and O'Shea, M. (1997) “Changing Teacher Behavior Through Staff Development:Implementing the Teaching and Content Standards in Science,” School Science and Mathematics, 97 (6), 302-309.12. Cano, R.M., Berliner-Heyman, S., , Koppel, N.B., Gibbons, S. and Kimmel, H.S. (2001, October)..”Evaluationof Summer Enrichment Programs For Women Students.” Proceedings of the 2004 ASEE Annual Conference. SaltLake City, UT.13. Hirsch, L., S., Gibbons, S., J., Kimmel, H., Rockland, R. and Bloom, J. (2003, November). “High SchoolStudents Attitudes to and Knowledge About Engineering”. Proceedings of the 33rd ASEE/IEEE Frontiers inEducation Conference, Boulder, CO.14. Gibbons, S., J., Hirsch, L., S., Kimmel, H., Rockland, R
this degree program, were undergirded by the following theory of action:degree programs in social entrepreneurship are more successful when they have aninterdisciplinary focus, and they are guided by and supported by stakeholder engagement.The paper has delineated the theoretical commitments, the processes, and the major takeaways orlessons learned from this co-development process.referencesAlkire, L., Mooney, C., Gur, F. A., Kabadayi, S., Renko, M., & Vink, J. (2020). Transformativeservice research, service design, and social entrepreneurship: An interdisciplinary frameworkadvancing wellbeing and social impact. Journal of Service Management, 31(1), 24-50.Author (2022)Bureau of Labor Statistics. (2016). “Business Employment Dynamics
. IV. CONCLUSION [13] C.-C. Chang, K.-H. Liao, and Y.-H. Li, "An Exploration of Risk Factors Hospitals evaluate their performance to meet the scale of Selecting for Hospital Information Security through NGT Method,"quality in patient care. To ensure the quickest access to patient Management and Service Science (MASS), pp. 1 - 4, 2010.records and superior care, new technologies in hospital [14] L. Shi, S. Yan, and F. Wang, "Network security evaluation in hospitaladministration are now being implemented. Where accessing based on Fuzzy Comprehensive Judgment
summary, the researchers areencouraged by the preliminary survey studies, and intend to expand their collaboration toother research projects on sustainability.AcknowledgmentThe authors thank personnel at Cornell University Extension Service in Allegany County(L. Bliven and L. Hunsberger), the Allegany County Legislature (K. Graves, S. Burt, andK. Crandall), and Alfred University (M. McFadden, F. Beaudry, C. Burdick, T. Cox andA. McLain) for their help. 12 Proceedings of 2015 St. Lawrence Section of the American Society for Engineering EducationReferences 1. J. McMillin, and R. Dyball, “Developing a Whole-of-University Approach to Educating for Sustainability: Linking Curriculum
targeted questions were compiled toaddress both the committee’ s perspectives and concerns regarding the existing first year experi-ence as well as the general outcomes and observations from the focus group study. The overalloutcomes from this human-centered study included10: The students felt strongly about delivering relevant hands-on experiences. According to the students hands-on activities are important for maintaining motivation and connection to the discipline during their first year experience.10 The students’ responses suggested a strong preference for skills-based instruction and core engineering content over ‘ introductory information’ such as campus orientation. Skills-based instruction included
. Using a systematic literature review, thestudy found out that e health played a significant role in improving the storage and retrieval ofmedical information, assisting doctors and healthcare practitioners when making decisions and inproviding healthcare to patients located in remote locations. The research however found out thatmost policy makers have a problem in quantifying the benefits of e health and cannot thereforesolicit enough funding and support to implement such systems. Poon, E.G., et al.25 document thatthe uses of modern IT solutions and bar code readers have significantly improved procurementand administration of prescriptions. Bar codes verify medications preventing errors andenhancing the patient’ s safety. Studies by Ammenwerth
thedata. Anomaly scores are computed based on the number of splits required to isolate a data point. E(x)Mathematically, the anomaly score s(x) for a data point x is calculated as: s(x) = 2− c(n) , whereE(x) is the average path length for x, and c(n) is the average path length of a randomly selectedpoint in a sample of size n.Predictive Analytics: AI models like Long Short-Term Memory (LSTM) networks forecast futuresoil conditions. LSTMs are a type of recurrent neural network (RNN) that can learn long-termdependencies. The LSTM network uses gates to control the flow of information. The update rulefor the LSTM cell state Ct at time t is given by
grant funding or industry partnerships.Dr. Kinnis Gosha, Morehouse College Dr. Kinnis Gosha (Go-Shay) is an Assistant Professor in the Department of Computer Science and Director of the Culturally Relevant Computer Lab at Morehouse College. Dr. Goshaˆa C™s research interests include conversational agents, social media data analytMrs. Talia Capozzoli Kessler, Georgia Institute of Technology Talia Kessler, MSPP is a research associate at The Center for Education Integrating Science, Mathematics, and Computing (CEISMC) at Georgia Tech. As a research associate, she works on research and evaluation projects centering on K-12 STEM education. She has a Master’s degree in Public Policy from the Georgia Tech and is currently
diverse earth science learners. Journal of Geoscience Education, 65(4), 407–415.2. Miller, A. J., Brennan, K. P., Mignani, C., Wieder, J., David, R. O., and Borduas-Dedekind, N. Development of the drop Freezing Ice Nuclei Counter (FINC), intercomparison of droplet freezing techniques, and use of soluble lignin as an atmospheric ice nucleation standard. Atmospheric Measurement Techniques., 14, 3131−3151, 2021.3. Mahant, S., Yadav, S., Gilbert, C., Kjærgaard, E. R., Jensen, M. M., Kessler, T., Bilde, M., & Petters, M. D. (2023). An open-hardware community ice nucleation cold stage for research and teaching. HardwareX, 16.4. Hiranuma, N., Augustin-Bauditz, S., Bingemer, H., Budke, C., Curtius, J., Danielczok, A., Diehl, K
Paper ID #49612Implementing a Flipped Learning Approach In Two Engineering CoursesDr. Lynn Dudash, University of Mount Union ©American Society for Engineering Education, 2025 WIP: Implementing a Flipped Learning Approach in Two Engineering CoursesIntroduction The flipped learning approach is an innovative teaching technique that has beenimplemented in many university level engineering courses over the past 15 years. Whileelements of the flipped teaching method have been used since the late 1990’s, two high schoolchemistry teachers, Jonathan Bergmann and Aaron Sams, are often credited
some anddisadvantage others. In many instances, the reasons why Robert was presented with certainopportunities to succeed in engineering are the same reasons why Kaylla was either notpresented, or actively prevented from the same opportunities. Second, having multiplemarginalized identities can lead to a domino effect such that “the consequences of one burdenthat interacts with pre-existing vulnerabilities create[s] yet another dimension ofdisempowerment” [56, p. 1241]. This means that Kaylla was not hindered in mutually exclusiveinstances that can be singled out and analyzed, but rather that her compounding experiences ofstruggle in STEM impacted her persistence in engineering increasingly over time. Likewise,Robert’s ongoing support and
space to choose whether to revealtheir identities or a safe space to interact with their identities, such as having their cameras off inonline spaces or discussing identities in a supportive manner (Mohammed, T. F. et al., 2021; vonVacano, C. et al., 2022). One paper discussed how underrepresented students connect better witha human centered approach to engineering problems (Rodriguez, S. L. et. al., 2020). Three papersdiscussed the importance of focusing learning on the skills groups of students need to acquirebased on the content (Nasri, N. et al., 2021; Scutt, H.I. et al., 2013; Furner, J. M., & Duffy, M. L,2022). In general, the papers cover the importance of focusing teaching the students present asopposed to a general body of students
]. Thedifference was that the second study tracked not whether the woman was “employed full-time”but if she was employed in an engineering job. Thus, even seemingly simple constructs like“persistence” or “retention” for engineering women requires careful thought match data tointended research questions.Another troublesome issue of definition is what population of women to study. Some researchhas been focused exclusively on engineering, but much research is generalized to STEM(science, technology, engineering, and math), or just SET (science, engineering, and technology),S&E (science and engineering), or Tech (technology or high-technology). Some studies defineSTEM to include all the social sciences and some studies include all technology
method is structural analysis, where a researcher observes anarrative by identifying the outline, or structure, of how it's told. Structural analysis involvespiecing together the plot of the story without making inferences that may shift the storyteller'swords. The third method, constructed narrative analysis, closely relates to Polkinghorne's [20]narrative analysis technique, where specific events are synthesized to form one main narrative.This form of analysis may involve direct quotes from the participant(s), inviting the reader tomake their own inferences.Kellam et. al [13] points out the trade-offs with using each type of analysis method, as each typemay be beneficial for answering different questions. However, they make it clear that the
gyroscopethat would consume less power than vibration-based gyroscopes. The gyroscope they designedwas created with the help of MEMS-Microfluidic solutions that enabled the implementation ofmicrofluidic channels in etched glass layers, which sandwiched a bulk-micromachined siliconsubstrate consisting of the sensing structures. Micro-Electro-Mechanical System (MEMS)gyroscopes are motion sensors that detect and measure the angular motion of an object [28]. Theycompared the angular rate sensitivity results of the designed gyroscope with a reference device,indicating an angular rate sensitivity of fewer than 1°/s, equivalent to that of the natural VS. Anultra-low power consumption of 300 μW was achieved without continually excited vibrating mass,which
Education, 2023The Teaching Needs of Engineering Faculty Compared to Business Faculty: How the Library and Librarian Fit InAbstractSubject or liaison librarians are frequently asked to provide information literacy instruction intheir assigned departments. However, not much in the literature explores how else librarians cansupport faculty teaching needs beyond information literacy. This paper compares the results oftwo separate studies conducted by the author that examined the teaching needs of faculty frombusiness and engineering. Business faculty were interviewed as part of a multi-site study in 2018led by Ithaka S+R, while the engineering faculty study was done separately by the author in2020. Interview transcripts from both