605 .58 598 .48 Regents English IV Boys 429 .47 430 .43 406 .36 Girls 229 .58 229 .58 224 .42 Total 658 .47 659 .53 630 .43 Rank in H. S. Class* Boys 253 .47 264 .43 226 .34 Girls 157 .60 157 .62 145 .56
Step 3 Communicate the Develop Solution(s) Design Solution(s) Process Step 6 Step 4 Evaluate Select Best Solution(s) Solution(s) Step 5 Construct Prototype Figure 2. The steps of the engineering design process. Note that each step can also cycle back to
. Infact, other disciplines such as large-scale systems theory may need to be applied to addressthe management of large data when it comes to real-time control of complex systems.References 1. Guide to the Systems Engineering Body of Knowledge (SEBoK). Retrieved December 31, 2015, from http://sebokwiki.org/wiki/Guide_to_the_Systems_Engineering_Body_of_Knowledge_(SEBoK) 2. Blanchard, B. S., & Fabrycky, W. J. (2010). Systems Engineering and Analysis (5th ed.). Upper Saddle River, NJ: Prentice Hall. 3. Banks, J., Carson, J. S. II, Nelson, B. L., & Nicol, D. M. (2009). Discrete-Event System Simulation (5th ed.). Upper Saddle River, NJ: Prentice Hall. 4. Buede, D. M., &
ammonia production? When needed? Expertise available to operate?) - What is your production target? What is the target scale/size/weight? (Hand- pulled or animal-pulled cart, car trunk, tractor, etc.) - Who is going to be the end-user? What expertise you expect they have? Consider different degrees of complexity! A farmer? An explorer? A trained research technician? - What balance do you envision about uses of ammonia: e.g., as fuel, as fertilizer, as a hydrogen source for H2 fuel cells, etc? - What mode(s) of production should you consider? (batch, continuous, other?) - What might affect the optimum pressure and temperature for the production facility, considering the limitations by the
information science; her industry experience includes systems analysis and cognitive science applications. She is one of the Principal Investigators on two NSF S-STEM and one NSF ADVANCE-PAID grants. With a life-long interest in technology and its potential for enhancing human capabilities, her research includes advances in analytics, motivated system energetics, and other topics relative to knowledge-intensive systems.Dr. Karinna M Vernaza, Gannon University Dr. Karinna Vernaza joined Gannon University in 2003, and she is currently a Professor in the Mechanical Engineering Department and Associate Dean of the College of Engineering and Business. She earned her Ph.D. and M.S. in mechanical engineering from the University
design from the start. The fifth principle is to ensure allscience and mathematics concepts, and technology tools employed are necessary forstudents’ successful completion of the STEM-design projects. With these principles inmind, the next step is to examine classroom enactments of the curriculum, focusing onthe extent to which students apply mathematics and science concepts to their designwork and the challenges and affordances for doing so (Berland, 2013).Effective Instructional Methodologies Contemporary engineering education should emphasize the design process,challenge-based learning, and other engineering habits of mind (Berland, Martin, Ko, etal., 2013). The results of Berland, Martin, Ko, et al.’s (2013) study revealed that as
engineering textbook, Fundamentals of Engineering Thermodynamics, which is used worldwide in over 250 institutions. Dr. Bailey is the Principal Investi- gator (PI) for the RIT NSF ADVANCE Institutional Transformation grant. The goal of this large-scale ($3.4M), multi-year university-level organizational transformation effort is to increase the representation and advancement of women STEM faculty. At the university level, she serves as Senior Faculty Associate to the Provost for ADVANCE and co-chairs the President’s Commission on Women.Prof. Joseph A. Raelin, Northeastern University Joe Raelin is an internationally recognized scholar in the fields of work-based learning and leadership. He holds the Asa S. Knowles Chair of
Interval Plot of REF/SEN/VIS/, REF/SEN/VIS/, ... 95% CI for the Mean 32 30 28 Data 26 24 22 20 L O EQ L O EQ L O EQ /G /S /G /S
Development Program) in the early 1980's, the RESP curriculum aims for the mostdifficult parts of first-year calculus, chemistry, and physics. In other words, RESP is notremedial.Put another way, RESP’s guiding philosophy is to give students the chance to have a badsemester, if one is coming, without impacting their academic record and with ample support todevelop new skills for student’s new collegiate setting. Students do not receive course credit, toremove the threat of permanently codifying poor performance on a student’s transcript. Thisdiffers from models that offer course credit, which carries the risk of permanent academicconsequences. During the summer, students build resilience as well as technical skills and entertheir fall semester aware
, andsupersaturation is possible. However, in the right graph there is no solid region where oneelement could be soluble in the other in the solid state. With no solid solubility, a supersaturatedsolid solution cannot be created. So the underlying reason(s) for difficulty in understanding thefirst explanation could lie in poor chart reading ability, vocabulary, or in the meaning ofsolubility limit or all. The response addresses all issues with the two graphs, but could have beenimproved with better labeling on the diagrams.Fig. 3. Faculty response on white board to students’ Muddiest Points on age hardening Al alloys. The comments in Muddy Points 2–5 all relate to difficulty in reading the graph, whichplots metal hardness (a measure of strength) as a
different disciplines. Finally, it could be that the student engagement survey does not capture all facets of student engagement, specifically within the domain of engineering. In the future, a different measure of student engagement could be used to see if these relationships hold true.[1] A. Wigfield, and J. S. Eccles, "Expectancy–value theory of achievement motivation," in Contemporaryeducational psychology, vol. 25.1, 2000, pp. 68-81.[2] J. S. Eccles, T. F. Adle, R. Futterman, S. B. Goff, C. M. Kaczala, J. L. Meece, and C. Midgley,"Expectancies, values, and academic behaviors" in Achievement and achievement motives: Psychologicaland sociological approaches, J. T. Spence Eds. San Francisco: W.H. Freeman and Company. 1983, pp. 75–138.[3] K
and technology teacher, as well as several years of electrical and mechanical engineering design experience as a practicing engineer. He received his Bachelor of Science degree in Engineering from Swarthmore College, his Master’s of Education degree from the University of Massachusetts, and a Master’s of Science in Mechanical Engineering and Doctorate in Engineering Education from Purdue University.Dr. Louis Nadelson, Utah State University Louis S. Nadelson is an associate professor and director for the Center for the School of the Future in the Emma Eccles Jones College of Education at Utah State University. He has a BS from Colorado State University, a BA from the Evergreen State College, a MEd from Western
Moreover, the multi-modalinteractivity of the smartphone touchscreen facilitates intuitive interfaces that may improve userexperience as s/he interacts with a physical system through the smartphone.4 Thus, the embeddedtechnologies of smartphones have a great potential to impact the experiences of educators,researchers, and students in laboratory settings. In fact, smartphones have already been leveragedin educational settings to sense parameters of physical systems such as the rotational energy of apendulum by attaching the smartphone to a bicycle wheel and measuring the angular velocitythrough the embedded gyroscope.5 Even as this application of rigidly mounting the smartphoneto the system exploits the embedded sensing capability of these devices
Response Mean 1 s 5 4 High Performance Computing1 and Big Data 15 8 5 1 3 1 33 2.27 Usage of HPC Integration in2 Real World Applications 13 8 6 2 2 2 33 2.45 Usage of Information to Impact K-16 Educator in3 Addressing/Supporting the 10 8 7 3 1 4 33 2.82 Computing Industry Workforce ShortageQuestion 14: What is your overall perception of the workshop
(N=33). However,all the participants of the survey were representative of the population. As mentioned above, thewhich actually caused this study to being rather limited. Therefore, this study focused more on apreliminary study than a complete study. This paper reports the results of a preliminary study onBIM education and merely discusses and suggests how construction educators help students getprepared for their future professional career in terms of BIM education in the domain ofconstruction management.BIBLIOGRAPHY 1. McGraw Hill Construction (2012), “The Business Value of BIM in North America: Multi-Year Trend Analysis and User Ratings (2007-2012)”, McGraw-Hill Construction SmartMarket Report, New York. 2. Azhar, S. (2011
engineering. Proceedings of the National Academy of Sciences, pp. 4988–4993, 2015.[7] P. G. Davies, S. J. Spencer, D. M. Quinn, and R. Gerhardstein. Consuming Images: How Television Commercials that Elicit Stereotype Threat Can Restrain Women Academically and Professionally. Personality and Social Psychology Bulletin, 28(12):1615–1628, 2002.[8] J. D. Finn. Withdrawing From School. Review of Educational Research, 59(2):117–142, 1989.[9] C. Good, A. Rattan, and C. S. Dweck. Why do women opt out? Sense of belonging and women’s representation in mathematics. Journal of Personality and Social Psychology, 102(4):700–717, 2012.[10] C. Goodenow. The psychological sense of school membership among adolescents: Scale development and educational
inAppendix A (The list of solar photovoltaic related equipment and supply). These componentswere obtained from a variety of resources and the list was merged into one table.Assembly and Testing ProcessAfter receiving all of the components, all of the students were involved in the assembly andtesting process of the unit. Students were assigned individual components so that they couldlearn more about the specific component(s) by studying the specifications and assemblyprocedures. For example, two of the students are assigned to three different electric meters forfurther study (net metering, one way metering, two ways metering). Two of the inverters wereassigned four students for further study of the specifications, assembly, and testing of
observed, and with problem framing, individuals could bestudied with regard to their predisposition toward innovative or adaptive framing. Thisadditional information should help educators maximize the potential of teaming in the classroomand teach students how to be more flexible thinkers.5.0 AcknowledgementsThis research was supported by the National Science Foundation through Research inEngineering Education (REE) Grants #1264715, #1265018, #1264551.6.0 References [1] Ulrich, Karl T., and Steven D. Eppinger. Product Design and Development. NewYork: McGraw-Hill, 1995. [2] Jablokow, K. W., Teerlink, W., Yilmaz, S., Daly, S. R., & Silk, E. M. (2015, June).The impact of teaming and cognitive style on student perceptions of
. (2010). Self-efficacy in female and male undergraduate engineering students: Comparisons among four institutions. In: 2010 American Society of Engineering Education Southeast Section Conference. Blacksburg, Virginia. 5. Business Higher Education Forum. (2010). Increasing the number of STEM graduates: Insights from the U.S. STEM education and modeling project. 6. Ceci, S. J., Ginther, D. K., Kahn, S., Williams, W. M. (2014). Women in Academic Science: A Changing Landscape. Psychological Science in the Public Interest, 15(3), 75-141. 7. Creamer, E. G. (2012). American Journal of Engineering Education—Spring 2012, 3(1), 1-12. 8. Engineering Workforce Commission. (2011). Undergraduate enrollment in engineering
encouraging me to go to college. 3 My friends plan on going to 12 9 4 4.32 college. 4 17 6 1 4.48 I enjoy school. 5 21 4 4.84 My teacher(s)/counselor(s) care if I go to college. 6 I am interested in a specific 13 3 8 1 4.12 college(s).7 I have a specific career 6 10 8 1 3.84 goal(s).8 I am interested in a
’ space where ‘social’ or ‘political’ issues…aretangential to engineers’ work” (p. 67)32. She further argues that such beliefs are developed in thecourse of the undergraduate engineering curriculum. Moreover, Kilgore et al.’s study found thatbeginning (and especially women) students were “sensitive to important contextual factors” (p.321)33 and further argue that “efforts to broaden participation in engineering should considerlegitimizing and fostering context-oriented approaches to engineering earlier in the curriculum”(p. 321) 33. Many other scholars discuss this tension between the social realities of traditionalengineering practice and a lack of social awareness practicing engineering courses and amongengineering students and professionals34
Figure 6:Figure 6: The name “zf” entered in Name Box 3. Name the other variable cells in Column B. Use the names “q”, “xd”, “xb”, “RR”, and “eta” in rows 3 to 7, and “Azeo” (no period!), “xf”, “yf”, “N”, and “Nf” in rows 11 to 15. The purpose of naming these cells is so that the names can be used in the subsequent equations on the spreadsheet. Any mistakes made while entering the names can be corrected by clicking on Formulas/Name Manager (or Ctrl-F3). 4. Enter these headings in cells Q1 to S2: Q R S 1 Equilibrium Data 2 Point # x y 5. Enter a 1 in cell Q3. 6. Enter the following formula in cell Q4: =IF(R4<>"",Q3+1,"") 7. Copy cell Q4
and applications to industry, system engineering, robust design, modeling, simulation, quality control, and optimization. c American Society for Engineering Education, 2016 Gauge R&R and TroubleshootingAbstractTeaching Gauge Repeatability & Reproducibility (GR&R) to engineering and engineeringtechnology students enables them to possess a practical skill that is popular in industry. It isespecially important for engineering technology students, since many of them will conducttesting, take measurements, and analyze data. The ability to analyze data is an important aspectof engineering technology students pursuing B. S. degrees, since this differentiates them fromlow level
dual-stack hostname, in random order. Figure 8 shows that over the two year period fromJanuary 2014 to December 2015 the number of users accessing Google.com over IPv6 increasedfrom around 2.5% to just over 9%.Figure 8. Percent of users accessing Google.com over IPv6IPv6 traffic volume (U1)The traffic volume metric (U1) is a measure of how much Internet traffic is over IPv6. To get asnapshot of Internet IPv6 traffic volume we used publicly available statistics from theAmsterdam Internet Exchange (AMS-IX) 20. The AMS-IX is one of the largest Internet exchangepoints (IXP) in the world and connects more than 776 autonomous systems worldwide. AMS-IXtracks the percentage of native IPv6 traffic using s-flow statistics.The average aggregated Internet
morecomparative analysis of what experiences are the most beneficial.AcknowledgementsThis work was supported in part by NSF Grant#EEC-1424444. We would like to thank ourinformants for participating in the field studies reported here. Any opinions, findings, andconclusions or recommendations expressed in this material are those of the author(s) and do notnecessarily reflect the views of the National Science Foundation.References1. ABET. (2011). Criteria for Accrediting Engineering Programs – Program Outcomes and Assessment. Baltimore, MD: Accreditation Board for Engineering and Technology.2. ASEE (2012). Innovation with Impact: Creating a Culture for Scholarly and Systematic Innovation in Engineering Education. Leah H. Jamieson and Jack R
, "Using Mobile Phones in Education," in The 2nd IEEE International Workshop on Wireless and Mobile Technologies in Edcuation (WMTE'04), Washinton, DC, USA, 2004.[3] L. S. Vygotsky, "Interaction between learning and development," in Mind in society. The development of higher psychological processes, M. Cole, V. John-Steiner, S. Scribner and E. Souberman, Eds., Cambridge, MA, Harvard University Press, 1978, pp. 79-91.[4] K. R. Clark, Examining the effects of the flipped model of instruction on student engagement and performance in the secondary mathematics classroom: An action research study, Capella University, 2013.[5] F. C. Herreid and N. A. Schiller, "Case Study: Case Studies and the Flipped Classroom," Journal of College Science
multi-function digital device. TheNational Instruments (Austin, TX) myDAQ is very compact and portable so students can extendhands-on learning outside of the lab environment using industry-standard tools and methods(Figure 2). The NI myDAQ includes two analog inputs and two analog outputs at 200 kS/s and 16bits, allowing for applications such as sampling an audio signal; eight digital inputs and outputlines, providing power for simple circuits with +5, +15, and -15 volt power supplies; and a 60 VDMM to measure voltage, current, and resistance. Figure 2. National Instruments MyDAQ Multifunction device (Courtesy: NI.com).Measuring Time Constants for Various Temperature SensorsSystem response is often a very important process in
Press, 19923. Ward J., Why can I see memories, Scientific American Mind, January/February 2016.4. Timoshenko S. and Young D. H., Engineering Mechanics: Statics, Preprint Copy, McGraw Hill, Inc., New York, New York, 19565. Popov P. P., Introduction to mechanics of materials, Prentice-Hall, Inc., Englewood Cliff’s, NJ, 19686. MSC Industrial Supply Co. Catalogue, 2010.7. Timoshenko S., and MacCullough G. H., Elements of Strength of Materials, D. Van Nostrand Company, Princeton New Jersey, 1949.8. Boresi A. P. and Schmidt R. J., Advanced Mechanics of Materials, John Wiley & Sons. Inc., New York New York, 200039. Bhonsle S. R. And Weinmann K. J., Mathematical Modeling for the Design of Machine
-84. doi:10.1002/tl[12] Gillies, R. M., & Boyle, M. (2010). Teachers’ reflections on cooperative learning: Issues of implementation. Teaching and Teacher Education, 26(4), 933–940. doi:10.1016/j.tate.2009.10.034[13] Greiffenhagen, C. (2011). Making rounds: The routine work of the teacher during collaborative learning with computers. International Journal of Computer-Supported Collaborative Learning. doi:10.1007/s11412-011- 9134-8[14] Hall, S. R., Wait, I., Brodeu, D. B., Soderholm, D. H., & Nasu, N (2002). Adoption of active learning in a lecture-based engineering class. In Proceedings of the 32nd ASEE/IEEE Frontiers in Education Conference.[15] Hatano, G., & Inagaki, K. (1986). Two courses of expertise. In H
, independent of the restrictions of any single institute. The resultsof this study seem to confirm these projects should not be abandoned and we should work toacquire more information to better understand the benefits in learning through intercollaborativeprojects.IntroductionThe civil engineering programs at Rose-Hulman Institute of Technology (RH) and GonzagaUniversity (GU) wish to understand optimization of inter-collaborative capstone projects. Inter-collaborative capstone projects are typically service learning projects conducted by students frommultiple institutes. Such projects are often local to one of the institutes, but remote to the other(s).They are organized to promote intercultural learning by students from both institutes and toovercome