flexural bucklingstress, Fcr, via a Q-factor which was a function (in part) of the effective area of the cross sectionof slender elements. These equations are shown in Figure 3, the typical lecture slides, as theyshould be. However, especially to the inexperienced student, this is likely just a mess ofmeaningless equations which they will simply follow blindly. Providing even a little context –making a connection between Q and the flexural buckling strength curve – at minimum will givestudents a better feeling for what the equations do. Similarly, the new method overall strategyshown in Figure 4, and it is clear that in concept nothing changed between old and new methods.This, again, instills confidence in the future designer. When students are
=7913. [Accessed: 26-Jan-2018].[6] M. J. White, “The history of the Engineering Libraries Division, part 1 - 1893 to 1960,” in 2016 ASEE Annu. Conf. Expo., 2016. https://peer.asee.org/26170.[7] M. Borrego, M. J. Foster, and J. E. Froyd, “Systematic literature reviews in engineering education and other developing interdisciplinary fields,” J. Eng. Educ., vol. 103, no. 1, pp. 45–76, Jan. 2014.[8] A. Brettle, “Information skills training: a systematic review of the literature,” Health Info. Libr. J., vol. 20, no. s1, pp. 3–9, Jun. 2003.[9] R. J. Jacobs, J. Q. Lou, R. L. Ownby, and J. Caballero, “A systematic review of eHealth interventions to improve health literacy,” Health Informatics J., vol. 22, no. 2
-packagedand placed into inventory.In order to calculate the required the minimum sample size (n), assumptions for the margin oferror (ME), confidence level (𝑧𝑧𝛼𝛼 ), and values for p (successes) and q (failures) must first beestablished. Using customer complaint data prior to the inspection system, the student assumed ap-value of 0.005 and a q-value of 0.995; 0.5% of product is defective (sampling success) 95.5%of product is good (sampling failure). A margin of error of 0.15% and a confidence level of 95%were then assumed to fit the expected success rate. Using the Margin of Error equation [3]: = 𝑝𝑝𝑝𝑝 𝑧𝑧𝛼𝛼2 ∗𝑝𝑝𝑝𝑝𝑧𝑧𝛼𝛼 ∗ � , the minimum sample size: 𝑛𝑛 = = 8,494.2
, “Context, self, and action: A motivational analysis of self-system processes across the life-span,” in The Self in Transition: Infancy to Childhood, D. Cicchetti, Ed. Chicago: University of Chicago Press, 1990, pp. 61–97.[9] V. Hospel, B. Galand, and M. Janosz, “Multidimensionality of behavioural engagement: Empirical support and implications,” Int. J. Educ. Res., vol. 77, pp. 37–49, 2016.[10] S. Lam et al., “Understanding and measuring student engagement in school: The results of an international study from 12 countries.,” Sch. Psychol. Q., vol. 29, no. 2, p. 213, Jun. 2014.[11] L. M. Thien and N. A. Razak, “Academic coping, friendship quality, and student engagement associated with student quality of school life: A partial
Versus Evening Type Adolescents: Is There a Synchrony Effect? Personality and Individual Differences, 42(3).Hill, M., & Epps, K. (2010). The Impact of Physical Classroom Environment on Student Satisfaction and Student Evaluation of Teaching in the University Environment. Academy of Educational Leadership, 14(4), 65-79.Jabi, W., Hall, T., Passerini, K., Borcea, C., & Jones, Q. (2008). Exporting the Studio Model of Learning - Teaming Architecture with Computer Science. Proceedings of the 26th Conference on Education and Research in Computer Aided Architectural Design in Europe (pp. 509-516). Antwerp, Belgium: Education and Research in Compuater Aided Architectural Design in Europr (ECAADE
application/technology technology (Microsoft, Cisco, etc) Does not provide solutions to situation involving multiple technologies or products Product bias by vendorOnline Forums Discussion and Q&A Provide solutions to Trustworthiness of information is forums (StackExchange, common problems questionable depending on forum etc) Provide answers to very used
were created using the combined approaches of a review ofrelevant literature and instruments, a Q-Study, and expert panel. Items were adapted fromidentified existing and relevant instruments, administered to a development sample, andevaluated and optimized for scale length (see 35, 37 and 38 for full descriptions of thedevelopment process). Once initial items were generated, think-aloud sessions were conductedwith undergraduate students to determine face validity [38]. During the second phase ofinstrument development, a pilot testing of the survey was conducted with data collected from133 participants. An Exploratory Factor Analysis (EFA) was used to reduce the number andrefine the content of items as well as establish a preliminary structure
Coordinate travel, housing & other amenities. Check-in formalities. Arrive @ TAMU.@ TAMU Pre-program survey (championed by external evaluator). # Debrief. Campus tour. (WEEK) RESEARCH PROJECT EXPERIENCE (VIP TEAMS) PROFESSIONAL DEVELOPMENT (COE USRG)* May Define project objectives, methodology, Welcome breakfast. Orientation. General lab (Week-1) schedule & outcomes. Specific lab(s) safety. safety training. Welcome Bar-B-Q. Ethics. Jun. Research plan due! Overview of metrology/ GRE workshop: What to expect. Seminar: (Week-2) NDI principles, techniques, labs & literature. TAMU early admissions program. Jun. Tackle/plan-for research questions & tasks. GRE workshop: Maximize
engineers. In D. K. Deardorff (Ed.), The SAGE Handbook of Intercultural Competence (pp. 362-373). Thousand Oaks, CA: SAGE.[25] Davis, M. (2006). Integrating ethics into technical courses: Micro-insertion. Science and Engineering Ethics, 12(4): 717-730.[26] Richards, L. G., Gormon, M., Scherer, W. T., & Landel, R. D. (1995). Promoting active learning with cases and instructional modules. Journal of Engineering Education, 84(4): 375-381.[27] Jesiek, B. K., Zhu, Q., Woo, S. E., Thompson, J., & Mazzurco, A. (2014). Global engineering competency in context: Situations and behaviors. Online Journal of Global Engineering Education, 8(1).[28] Jesiek, B. K., Woo, S. E., Zhu, Q., Ramane, K. D., & Choudhary, N. (2015
] K. E. Gerdes, E. A. Segal, and C. A. Lietz, “Conceptualising and measuring empathy,” Br. J. Soc. Work, vol. 40, no. 7, pp. 2326–2343, 2010.[16] J. Zaki, “Empathy: A motivated account,” Psychol. Bull., vol. 140, no. 6, pp. 1608–1647, 2014.[17] J. L. Hess and N. D. Fila, “The manifestation of empathy within design: findings from a service-learning course,” CoDesign, vol. 12, no. 1–2, pp. 93–111, 2016.[18] J. B. Scott, “The Practice of Usability: Teaching User Engagement Through Service-Learning,” Tech. Commun. Q., vol. 17, no. 4, pp. 381–412, 2008.[19] W. A. Sugar, “What Is So Good about User-Centered Design? Documenting the Effect of Usability Sessions on Novice Software Designers,” J. Res. Comput. Educ., vol
teams are highly committed to the projectsthroughout the semester; (iii) mentors are available and responsive to students, have internalsupport and value student work; and (iv) instructors constantly communicate with mentors andstudent teams, facilitate the student-mentor relationship and monitor the design and developmentprogress of each student team. As each project has its unique type, constraints and scope ofdesign or experiments, team office hours or interactive Questions and Answers (Q&A) sessionsthat are periodically scheduled throughout the semester between each team and instructor arevery helpful. Instructors can use these team office hours and Q&A sessions to better controlproject progress, address student needs and resolve
. 5. Total cost and profit.In the electric field of a line of charge example, a thin, uniformly charged rod of length L withtotal charge Q generates an electric field. Students are guided to find the strength of the field atdistance d in the plane that bisects the rod. Figure 1 Line of ChargeThe total charge Q is divided into many small point-like charges ΔQ located at points 𝑦𝑖 and theelectric field from each of them is determined. The net field can be found by summing the fieldsof all the point-like charges ΔQ and forming a Riemann sum. By taking the limit as the numberof point-like charges ΔQ increases to infinity, the Riemann sum will converge to a definiteintegral. The integral can be
. Battalora and B.A. Teschner, “Industry–University Partnerships: Engineering Education and Corporate Social Responsibility,” J. Prof. Issues Eng. Educ. Pract., vol. 144, no. 3, p. 04018002, Jul. 2018.[10] E. Conlon and H. Zandvoort, “Broadening ethics teaching in engineering: beyond the individualistic approach,” Sci. Eng. Ethics, vol. 17, no. 2, pp. 217–232, Jun. 2011.[11] C. Mitcham, “A historico-ethical perspective on engineering education: from use and convenience to policy engagement,” Eng. Stud., vol. 1, no. 1, pp. 35–53, Mar. 2009.[12] Q. Zhu and B. K. Jesiek, “A Pragmatic Approach to Ethical Decision-Making in Engineering Practice: Characteristics, Evaluation Criteria, and Implications for Instruction and Assessment
, 2004, pp. 77–80.[37] M. S. Kim and Y. S. Kim, “Analysis of perceived creativity and design team interaction,” in ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 2007, pp. 559–568.[38] Z. Qian, Y. Lan, J. Feng, and Q. Yiping, “Teamwork approach for senior research projects for college undergraduates,” in 2012 7th International Conference on Computer Science & Education (ICCSE), 2012, pp. 1999–2001.[39] N. Gonzalez, L. Moll, and C. Amanti, Funds of Knowledge : Theorizing Practices in Households, Communities, and Classrooms. Mahwah, NJ: Lawrence Erlbaum Associates, 2005.[40] C. G. Vélez-ibáñez and J. B. Greenberg, “Formation and Transformation of
the questionnaireadapted from the Engineering Student Survey and Students Persisting in Engineering Survey[30]. The self-reported ethnicities of WISE students indicated higher percentages of White andAsian students than the overall undergraduate population. GPA and percent of time studyingduring a typical week were normally distributed as assessed by histograms and q-q plots. Datawere self-reported and not available for undergraduate women STEM majors who did notparticipate in WISE.Table 1. Participant Characteristics from the WISE Mentee Survey (N = 51) Characteristic n Percentage Ethnicity Asian & Pacific American
their learning. This includes thetime to allow gradual maturing by the students to understand the process of their learning.Finally, based on the reflections provided by the student, there is more evidence of theirawareness and eagerness to realize the value of lifelong learning.In our courses, during each lecture, students engage in activities/problem solving and discusstheir thoughts, ideas and reflections with their teams. Through these reflections, the studentsreview and summarize their learning from previous lectures and at the same time they activelyengage in the process of thinking and deliberation within the classroom.A day in the non-calculus based class Every class, starts with a brief review, open discussions and Q/A of the last
63.4 11.0 25.71: Q: Question from survey (see Appendix A)2: Total number of students that provided feedback of “Strongly Agree”3: Total number of students that provided feedback of “Agree”4: Total number of students that provided feedback of “Neutral”5: Total number of students that provided feedback of “Disagree”6: Total number of students that provided feedback of “Strongly Disagree”7: % (+): Positive feedback expressed as a percentage (rounded up) of the total number of students that responded to the survey as either “Strongly Agree” or “Agree”8: % (-): Negative feedback expressed as a percentage (rounded up) of the total number of students that responded to the survey as either “Strongly Disagree” or “Disagree”9
algebra. The following topics areamong those areas: a) How to multiply two matricesIf we multiply a m×n (m is the number of rows and n is the number of columns) matrix by a n×pmatrix, the result will be a m×p matrix. If the number of columns of the first matrix is not equalto the number of rows of the second matrix, we cannot multiply those two matrices.In multiplication of two matrices, if the order of the two matrices change, if still the dimensionsallow multiplication, the result of multiplication will be different than the previous multiplicationunlike the multiplication of two scalars. b) How to write a set of equations with multiple unknowns in the form of matrices.If we have a set of q linear equations with q unknowns, the equations
STEM graduation rates at our institution. We felt thatthe decision to focus on the introductory math courses was, for us, the correct approach.Likewise the General Chemistry I (CHEM 1441) and the Chemistry for Engineers (1465)courses also demonstrated substantially better pass rates for ESP students.Fig 1. Pass rates / drop rates in the first three semesters’ implementation of ESP coursesU Texas Arlington Composite Results Table Fall 2010 thru Fall 2011Fall 2010, Spring 2011 & Fall 2011 compositeCourse A B C Pass D F I Q W Drop TotalMath 1323* ESP 5 16 6 56% 3 8 0 0 10 21% 48Math 1323* non-ESP (1) 13 14 24
systems, a key concept of systems engineering. Students also learn how tooperate both systems, how to tweak the programs/inputs and make observations on how thechange in inputs result in the response of the systems. Such exercise builds their confidence andunderstanding of how the electromechanical systems work. After students are familiar with thetechnology and concepts, in the learning phase, they are introduced to the history of NASA’sspace exploration through series of NASA’s excellent video content available through multipleof NASA’s web resources [7]. Also, students are given opportunity to interact with NASA’sengineers through a live webinar and Q&A session to learn about NASA’s Journey to Marsprogram.In the second phase, students are
like engineers.AcknowledgementsSupport for this work is provided by the National Science Foundation under Award No. EEC1664228. Any opinions, findings, conclusions, or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation.References[1] National Science Board. (2016). Science and engineering indicators 2016. Arlington, VA: National Science Foundation (NSB-2016-1).[2] Tai, R. T., Liu, C. Q., Maltese, A. V., & Fan, X. T. (2006). Planning early for careers in science. Science, 312, 1143-1144.[3] Aschbacher, P. R., Li, E., & Roth, E. J. (2010). Is science me? High school students’ identities, participation, and aspirations in science
under Grant No.DRL-1657519. Any opinions, findings, and conclusions are recommendations expressed in thismaterial are those of the authors and do not necessarily reflect the views of the National ScienceFoundation .References[1] E. Iversen, “Engineering Outreach on Campus,” Washington, DC, 2015.[2] C. Gartland, “Student ambassadors: ‘role-models’, learning practices and identities,” Br. J. Sociol. Educ., no. September, pp. 1–20, 2014.[3] A. V. Maltese and R. H. Tai, “Eyeballs in the fridge: Sources of early interest in science,” Int. J. Sci. Educ., 2010.[4] R. H. Tai, C. Q. Liu, A. V. Maltese, and X. Fan, “Planning early for careers in science,” Science. 2006.[5] M. B. Ormerod and D. Duckworth, “Pupils
Recommendations for Increasing Engagement among Women in STEM.,” Journal of STEM Education: Innovations \& Research, vol. 18, no. 1, pp. 92–97, 2017.[6] J. Bond, Y. Wang, C. S. Sankar, P. Raju, and Q. Le, “Female and minority students benefit from use of multimedia case studies,” International Journal of Engineering Education, vol. 30, no. 2, pp. 343–359, 2014.[7] P. et al Bell, Learning Science in Informal Environments: People, Places, and Pursuits. The National Academy Press, 2009.[8] D. Kilgore, C. J. Atman, K. Yasuhara, T. J. Barker, and A. Morozov, “Considering Context: A Study of First- Year Engineering Students,” Journal of Engineering Education, vol. 96, no. 4, pp. 321–334, 2007.[9] T. J. Puccinelli, M. E. Fitzpatrick, and G
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success,” Educate, vol. 7, no. 1, pp. 39–47, 2007.[16] J. Otero, J. M. Campanario, and K. D. Hopkins, “The Relationship between Academic Achievement and Metacognitive Comprehension Monitoring Ability of Spanish Secondary School Students,” Educ. Psychol. Meas., vol. 52, no. 2, pp. 419–430, Jun. 1992.[17] P. R. Pintrich, “The role of metacognitive knowledge in learning, teaching, and assessing,” Theory Pract., vol. 41, no. 4, pp. 231–236, 2002.[18] O. Lawanto, “Students’ metacognition during an engineering design project,” Perform. Improv. Q., vol. 24, no. 2, pp. 115–134, 2010.[19] O. Lawanto and S. Johnson, “Student’s cognitive self-appraisal, self-management, and the level of difficulty of an engineering design project
. No time for Q&A Student dresses 1 Dress was Dress was Dress was casual. Dress was Not appropriately. appropriate for acceptable for very casual. done. technical technical presentation. presentation. Confidence was weak. Exuded Confidence was
required to operate andmaintain these manufacturing systems. The proposed course is well designed for students to learndifferent aspects of skills and knowledge over a period one semester giving graduates a valuableadvantage in an increasingly competitive job market. This proposed course can be a part ofadvanced material and manufacturing or 4D printing (e.g. self-healing and shape memorycomposites) courses for sophomore and junior levels.References[1] Q. Ge, C. K. Dunn, H. J. Qi, and M. L. Dunn, "Active origami by 4D printing," Smart Materials and Structures, vol. 23, p. 094007, 2014. [2] S. Tibbits, "4D printing: multi‐material shape change," Architectural Design, vol. 84, pp. 116‐121, 2014. [3] Z. X. Khoo, J. E. M
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