York: McGraw-Hill, revised ed., 1992.[25] Y. Wang, J. Ostermann, and Y.-Q. Zhang, Video Processing and Communications. Prentice-Hall, 2002.[26] “Texas Instruments SYS/BIOS real-time kernel,” 2013. http://www.ti.com/tool/sysbios.[27] “OpenCV website,” 2013. http://opencv.org/.[28] Educational DSP (eDSP), L.L.C., “DSP resources for TI DSKs.” http://www.educationaldsp.com/. Page 24.1062.12
. Patton, M. Q. Qualitative evaluation and research methods. (Sage, 2002).46. Harrell, M. C. & Bradley, M. A. Data collection methods: Semi-structured interviews and focus groups. 148 (2009).47. Corbin, J. & Strauss, A. Basics of qualitative research: Techniques and procedures for developing grounded theory. (Sage, 1998).48. Onwuegbuzie, A. J., Dickinson, W. B., Leech, N. L. & Zoran, A. G. A qualitative framework for collecting and analyzing data in focus group research. Int. J. Qual. Methods 8, 1–21 (2009).49. Bandura, A. Self-efficacy: The exercise of control. (W.H. Freeman, 1997).50. Bandura, A. Social cognitive theory: An agentic perspective. Annu. Rev. Psychol. 52, 1–26 (2001).51. Brown, J. S., Collins
Inventory Assessment Instruments for Electromagnetic Education,” in Proc., IEEE Antennas and Propagation Society Int. Symp., San Antonio, Texas, 2002.13. Hake, R., “Interactive-engagement versus traditional methods: A six-thousand-student survey of mechanics test data for introductory physics courses,” Amer. J. of Phys., Vol. 66, No. 64, 1998.14. Camtasia Studio 8.0, TechSmith, available at http://www.techsmith.com/camtasia.html, accessed January 3, 2014.15. Stickel, M., Liu, Q., and Hari, S., “The Effect of the Inverted Classroom Teaching Approach on Student/Faculty Interaction and Students’ Self-Efficacy,”, Proceedings 2014 ASEE Annual Conference & Exposition, Indianapolis, IN, June 2014
Structural Equations Modeling,” Manag. Inf. Syst. Q., vol. 22, no. 1, p. 14, Mar. 1998.[8] S. J. Finney and C. DiStefano, “Non-Normal and Categorical Data in Structural Equation Modeling,” in Structural Equation Modeling: A Second Course, United States of America: Information Age Publishing, Inc., 2006, pp. 269 – 314.[9] C. M. Cunningham and C. P. Lachapelle, “The impact of Engineering is Elementary (EiE) on students’ attitudes toward engineering and science,” in ASEE Annual Conference and Exposition, Louisville, KY, 2010.[10] IBM Corporation, IBM SPSS Statistics for Windows. Armonk, NY: IBM Corporation, 2012.[11] L. K. Muthén and B. O. Muthen, Mplus. Los Angeles, CA: Muthén & Muthén, 2012.[12] D. Hooper, J. Coughlan, and M. R
. Quizzes were administered onpaper and collected after three minutes of work. After collecting the students’ work, the quiz wasimmediately debriefed at the board and document camera so that students received instantfeedback. Page 24.1233.9Following the Q&A time and the Entrance Quiz, the class was typically left with about 30minutes to work on class activities. As described above, these activities were often taken fromthe Activities in the Active Calculus book and modified to fit the particular needs of theaudience. Most were on the cognitive level of homework that would be assigned for out-of-classwork in a traditional setting. Students were
mapped the key elements of a typicalundergraduate engineering curriculum onto each of the four selected systems. The particles (quanta) areconserved, but particle attributes are not conserved. We hypothesized the following relations to model therespective quanta. E(t)j=E(0)j + Beta i (1 – exp(-t%ji/tc%i)) (1) E(t)j=E(0)j exp(-t%ji/tc%i) + Beta i (1 – exp(-t%ji/tc%i)) (2) E(t)j=E(0)j+1 (3)Where E(t)j represents the exergy or information of a particle “j” at time ”t”; t%ji: residence time at compartment “j” for particle “i”; Time constant (tc%i) = 1+Beta i/Heat loss(Qi), if Q = 0, tc=1; and, Beta i is the exergy
Program in the Engineering Disciplines”. The interdisciplinary Journal of Study Abraod, 10, 237, 2004.18. J. R Mihelcic, K. G. Paterson , L. D. Phillips , Q. Zhang , D. W. Watkins, B. D. Barkdoll, V. J. Fuchs, et al. “Educating engineers in the sustainable futures model with a global perspective”. Civil Engineering and Environmental Systems, 25(4), 255–263, 2008.19. K. Paterson, and V. Fuchs. “Development for the other 80%: Engineering hope”. Proceedings of the 2007 AAEE Conference, Melbourne, December 2007.20. Y. Tang, M. Compere, Y. L. Wong, J. A. Coleman, C. Selkirk. 2High tech high touch: Lessons learned from Project Haiti 2011”. Proceedings of the 2012 ASEE Annual Conference, San Antonio, TX, June 2012.21. A
Identity Construct. Paper presented at ePIC 2011: ePortfolio and Identity Conference. London, England. Retrieved December 26, 2012 from: http://www.epforum.eu/sites/www.epforum.eu/files/ePIC%202011.pdf.26. Banta, T.W. (2012). Our primitive art of assessment. Peer Review 13, 4. Retrieved January 6, 2013, from: http://www.aacu.org/peerreview/pr-fa11wi12/realitycheck.cfm.27. Patton, M. Q. (2002). Qualitative research and evaluation methods. Thousand Oaks, CA: Sage Publications.28. Committee on Graduate Education. 1998. Report and recommendations. Washington, DC: Association of American Universities.29. Committee on Science, Engineering and Public Policy (COSEPUP). 1995. Reshaping the education of scientists and engineers
surveyquestions are provided below. These results were selected because they show interestingdifferences and similarities between the transfer and non-transfer students. Also, these resultsshow the views of all the students of the SAS scholarship program.In Figure 1, a clear difference is shown in the timing of when students decided to major inengineering or computer science. The transfer students were split across all responses, while thenon-transfer students mostly chose to major in the last two years of high school. These resultsmay give insight on how to improve recruitment of transfer students.Figure 1: Decision to major in engineering or computer science. Q 14. When did you decide to major in engineering or Tranfers computer
industry professionals F2F or online and are given feedbackon feasibility (technical, artistic and marketing), uniqueness and useful links to find code andassets. After that , by the 10th week, they start on their final three weekly project assignments, ondevelopment of individual software components, graphic assets, and marketing plan; onintegration and testing; and finally on a portfolio presentation to well-respected local BASEprofessionals to evaluate these Apps. The presentations (by the 13th week) includes a slidepresentation by the team, a three minute promotional video, a live demo with a phone, discussionof the code and assets created, and a Q&A session. All the code, assets, documentation, & theproject folder had to be submitted
!following!rehabilitation!and!military!service! o Information!Session!at!Ft.!Eustis!Education!Center! o Drop!In!Q!&!A!at!Ft.!Lee!Education!Center! o Visit!to!Educational!Director!at!Ft.!Benning,!GA! o Personal!meeting!and!AMP,V!presentations!to!the!Commander,!Naval!Sea! Systems!Command!and!two!of!his!direct!reports! o Presentation!at!the!Virginia!Veterans!Memorial!in!Richmond,!VA! o Visit!to!Ft.!Bragg!to!reach!returning!veterans!who!relocate!within!proximity!to! AMP,V! o Discussions!with!ROTC!leadership!at!UVa,!VMI,!and!The!College!of!William!&! Mary,!and!the!University!of!Richmond!to!promote!the!program!among!ROTC! students!• AMP,V!presentation!for!NAVSEA!at
of refreshments available throughout the day. ● Leave meals unscheduled. Attendees want to have at least that much time to chat, compare notes, and socialize; working lunches cause them to engage in these social activities at other times, displacing scheduled activities to do so. ● Avoid scheduling important content in evening presentations. Short conversations, tours, and Q&A with industry partners go over well, but content-driven talks are best restricted to daytime sessions. ● Do not schedule long days. Intense scheduling results in weariness and prevents the networking and goal setting that helps the attendees in the long run. We found that the longest appropriate daily schedule is six hours of
= conversion factor from Metric to English qM q E = k M qM = (2) unit kE 1 kM = (3) kEExamples:a) Convert 200 MPa to psi. b) Convert 1500 mm to feet.qM = 200 MPa = 200x1000 kPa qM = 1500 mm = 1.5 mk E = 6.895 kPa/psi (Table A1) k E = 0.3048 ft/m (Table A1) qM 200x1000
havediscovered and are using to develop their projects and applications. Of course this is not acomprehensive list, but rather our personal exposure to these embedded tools you as an educatordid not have when you grew up.The work is going to be divided into several sections. The next section contains the commonfeatures that these tools have; there are some tools that have each end every one of these features,while others just have a subset. We will not provide a thorough cross matching of all thesefeatures and the reader is welcomed to find more information at the respective websites. Wewould also present a Q&A responded by students and faculty using these tools, each intervieweeresponds to a set of directed questions in an attempt to give a fair
, July 26-29, 2022.[37] Kusam, V.A., 2024, “Generative-AI Assisted Feedback Provisioning for Project-based Learning in CS Education” (Doctoral dissertation).[38] Salinas-Navarro, D.E., Vilalta-Perdomo, E., Michel-Villarreal, R. & Montesinos, L., 2024, “Using Generative Artificial Intelligence Tools to Explain and Enhance Experiential Learning for Authentic Assessment”, Education Sciences, Vol. 14, No, 1, p.83.[39] Li, H., Xu, T., Zhang, C., Chen, E., Liang, J., Fan, X., Li, H., Tang, J. & Wen, Q., 2024, “Bringing Generative AI to Adaptive Learning in Education”, arXiv preprint arXiv:2402.14601.[40] Weng, J.C., 2023, “Putting Intellectual Robots to Work: Implementing Generative AI Tools in Project Management”, NYU SPS
manufacturing sector.REFERENCES1. Anil Kunar, Neil Randerson, Louisa Kiwana et al, Engineering UK 2013, The State ofEngineering. See: http://www.theengineer.co.uk/Journals/2013/08/02/q/s/w/Engineering-UK-2013-Interactive.pdf2. Office for National Statistics, UK: See: http://www.ons.gov.uk/ons/index.htmlAlso see: http://www.ons.gov.uk/ons/datasets-and-tables/index.html3. Engineering UK 2013, Executive Summary and Recommendations; See:http://www.engineeringuk.com/_resources/documents/EUK_Executive_Summary_2013_Web.pdf4 Susan Kay and Anil Kumar, (2013), EPC-Engineering-UK-report-on-UK-HEI-engineering-student-capacity-June-2013-summary.See:http://epc.ac.uk/wp-content/uploads/2013/08/EPC-Engineering-UK-report-on-UK-HEI-engineering-student-capacity
and Discussion,” Comput. Sci. Educ., vol. 13, no. 2, pp. 137–172, Jun. 2003, doi: 10.1076/csed.13.2.137.14200.[8] Q. Cao, L. H. I. Lim, V. Dale, and N. Tasler, “EXPERIENCES IN PYTHON PROGRAMMING LABORATORY FOR CIVIL ENGINEERING STUDENTS WITH ONLINE COLLABORATIVE PROGRAMMING PLATFORM,” presented at the 14th annual International Conference of Education, Research and Innovation, Online Conference, Nov. 2021, pp. 5784–5791. doi: 10.21125/iceri.2021.1305.[9] D. G. Balreira, T. L. T. D. Silveira, and J. A. Wickboldt, “Investigating the impact of adopting Python and C languages for introductory engineering programming courses,” Comput. Appl. Eng. Educ., vol. 31, no. 1, pp. 47–62, Jan. 2023, doi
/10.1126/sciadv.abo1558[12] K. G. Wilkins-Yel, A. Arnold, J. Bekki, M. Natarajan, B. Bernstein, and A. K. Randall, “I can’t push off my own Mental Health’: Chilly STEM Climates, Mental Health, and STEM Persistence among Black, Latina, and White Graduate Women,” Sex Roles, vol. 86, no. 3–4, pp. 208–232, 2022, doi: https://doi.org/10.1007/s11199-021-01262-1[13] Q. R. Alexander and M. A. Hermann, “African-American women’s experiences in graduate science, technology, engineering, and mathematics education at a predominantly white university: A qualitative investigation,” Journal of Diversity in Higher Education, vol. 9, no. 4, pp. 307–322, 2016, doi: https://psycnet.apa.org/doi/10.1037/a0039705[14] J. A. Muñoz
generative AI (many wrote about multiple types of experiences), 5 students mentioned theirexperience using generative AI for schoolwork. Examples included using DALL-E to generateimages when making a zine for a senior English project and generating practice problems forclasses. 4 talked about learning with or about generative AI in out-of-school settings. Forexample, one student had attended a summer program hosted by a university where they codedan AI using Q-learning and Monte Carlo tree search. 3 students used generative AI for theirhobby by setting generative AI up as their opponent for video games or creating stories aboutcharacters for role-playing games. 10 students stated their experiences testing out generative AIon their own or with their
to B and J for participating in this study by sharing your experiences and insights.Thank you to Maryrose Weatherton and Betsy Chesnutt for excellent feedback on the interviewand poem method. Thanks to the engage™ Engineering Fundamentals Program for researchspace and administrative support.References[1] M. E. Brenner, “Interviewing in Educational Research.,” in Handbook of complementary methods in education research, J. L. Green, G. Camilli, and P. B. Elmore, Eds., Lawrence Erlbaum Associates Publishers, 2006, pp. 357–370. Accessed: Jan. 29, 2024. [Online]. Available: https://psycnet.apa.org/record/2006-05382-021[2] M. Q. Patton, “Chapter 8: Qualitative analysis and interpretation,” in Qualitative research and
, 2024. Date. [Online]. Available: https://eric.ed.gov/?q=ED610707&id=ED610707[20] I. Fomunung, C. Silver, and M. Porter, “Increasing the success rates of engineering students after transferring into four year colleges from community colleges: It’s much more than dollars” in Proceedings of the 2022 ASEE Annual Conference & Exposition, Minneapolis, MN, Aug., 2022. https://peer.asee.org/42050[21] M. McGinnis and R. Welch, “Capstones with an industrial model,” in Proceedings of the ASEE Annual Conference and Exposition, Louisville, KY, June 2010. https://peer.asee.org/16899[22] C.E. King, “Industry engagement versus faculty mentorship in engineering senior capstone design courses,” in Proceedings of the 2020 ASEE
reinforcing the status quo. Therefore, theengineering industry should take the students’ concerns as input if the industry wants to worktowards the reframing of engineering as sociotechnical, and the commitment to social justice.References[1] D. M. Hatmaker, “Engineering identity: Gender and professional identity negotiation among women engineers: identity negotiation among women engineers,” Gend. Work Organ., vol. 20, no. 4, pp. 382–396, 2013, doi: 10.1111/j.1468-0432.2012.00589.x.[2] J. Jorgenson, “Engineering selves: negotiating gender and identity in technical work,” Manag. Commun. Q., vol. 15, no. 3, pp. 350–380, 2002, doi: 10.1177/0893318902153002.[3] E. A. Cech, “Culture of disengagement in engineering education?,” Sci. Technol. Hum
morelikely to engage in the epistemic practice, consider problems in context. This supports priorresearch that has shown empathy to be a skilled developed through user-centered engineeringcontexts [33-34]. Similar, the structure and open-ended nature of the kits to align with anengineering design process elicited engagement in particular epistemic practices such asenvisioning multiple solutions. In the context of this study, envisioning multiple solutions weregrounded in the process of sketching which has been shown to promote the development ofinnovative ideas, building upon ideas, and deeper thinking about their solutions [35]. Second, theinclusion of familiar and everyday materials (e.g., q-tips, cotton balls, sandpaper, straws)supported children
, cumulative GPA, number of papers authored (research productivity) , and successfuldegree completion. The results of these studies are not consistent or conclusive, depending asthey do on the type and level of the program, the discipline, the sample size and diversity, andthe statistical methods and controls.However, some general observations can be made based on the literature. Kuncel et al. [33]performed a meta-analysis of nearly 100 studies involving 10,000 students. They reportoperational validities of 0.38 and 0.30, respectively, for the predictive validity of the GRE-V andGRE-Q for masters-level GPAs. For doctoral students, the corresponding values are 0.27 and0.28. They conclude, “The primary implication of these findings is that the evidence
Proceedings, Austin, Texas: ASEE Conferences, Jun. 2009, p. 14.455.1-14.455.13. doi: 10.18260/1-2--4846.[11] M. R. Hammer, “Additional cross-cultural validity testing of the Intercultural Development Inventory.” Jounrnal of Intercultural Relations, 2011.[12] M. J. Bennett, “Developmental Model of Intercultural Sensitivity,” in The International Encyclopedia of Intercultural Communication, 1st ed., Y. Y. Kim, Ed., Wiley, 2017, pp. 1– 10. doi: 10.1002/9781118783665.ieicc0182.[13] E. De Graaff and W. Ravesteijn, “Training complete engineers: Global enterprise and engineering education,” European Journal of Engineering Education, vol. 26, no. 4, pp. 419–427, Dec. 2001, doi: 10.1080/03043790110068701.[14] B. K. Jesiek, Q. Zhu, S. E
Learning, 12(5), 237-245.10. Wang, Q., Huang, C., & Quek, C. L. (2018). Students’ perspectives on the design andimplementation of a blended synchronous learning environment. Australasian Journal ofEducational Technology, 34(1).11. Szeto, E. (2014). A comparison of online/face-to-face students’ and instructor's experiences:Examining blended synchronous learning effects. Procedia-Social and Behavioral Sciences, 116,4250-4254. https://www.sciencedirect.com/science/article/pii/S187704281400943412. https://online.odu.edu/about-us/our-experience13. Hackworth, J. & Jones, R. (2004). Assessment Methods for Comparison of On-Campus andDistance Learning Laboratory Courses in an Engineering Technology Program. Proceedings ofthe 2004 ASEE Annual
words, why did we not skip the process of flocculation and go directly to filtering? 7. What additional steps would you take to make the water potable?ENGR 1203Module 6: Life Cycle AssessmentUse the following carbon footprint database to find the kg CO2e/kg for each ingredient.https://apps.carboncloud.com/climatehub/search?q=pizza&market=USA&sort=market%3AdescDeliverables 1. One table showing total kg CO2e/kg for each meal (three rows, one column) 2. Three pie charts, one for each meal, showing what proportion of the total impact is caused by each ingredient 3. One bar graph, showing how the total kg CO2e/kg breaks out by "phase" (agriculture, transportation, etc.) 4. Discussion