cooperative learningreduction strategies. teams on student achievement and race relations: This review of the literature is the beginning of a larger Treatment by race interactions," Sociology of Education,project focused on creating fairer peer assessments by pp. 174-180, 1981.teaching students techniques to address their own biases. Withthis knowledge of where bias exists and the strategies used to [8] L. Springer, M. E. Stanne, & S. S. Donovan, “Effects of small-group learning on undergraduates in science,mitigate it, the research team will develop a comprehensive
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13.641.8long run, making universities and engineering schools exciting, creative, adventurous, rigorous,demanding, and empowering milieus is more important than specifying curricular details”.[41, p.162]Bibliography1. Agosto, D. E. (2004). Using gender schema theory to examine gender equity in computing: A preliminary study. Journal of Women and Minorities in Science and Engineering, 10(1), 37-37-53.2. American Society for Engineering Education. (1994). Engineering Education for a Changing World., 1994, from http://www.asee.org/resources/beyond/greenReport.cfm3. Bell, A. E., Spencer, S. J., Iserman, E., & Logel, Christine E. R. (2003). Stereotype threat and women's performance in engineering. Journal of Engineering
cos m/s, 0 s ≤ t ≤ 5π s. 5 (b) the distance STOP STOP between the two stop signs; and 20 (c) the acceleration at 15
19 20 10 0 s n lls c
hanical E ngineer Chief Civ il/Environmental E ngineer Chief E lectrical Engineer Chief Com puter Science E ngineer Manager Manager Manager Manager Divis ion 1 Div ision 2 Divis ion 3 Div ision 4 J unior Interdis ciplinaryT eam Junior Interdisc iplinaryT eam J unior Interdis ciplinaryT eam Junior Inter disc iplinar y T eam S ophom ore Interdisciplinar y Team Sophom or e Interdisciplinar yTeam S ophom ore Interdisciplinary Team Sophom or e Interdisciplinar yTeam
in most texts ≠ A numerical approach with Microsoft Excel®74 ≠ Excel/VBA based simulation75Trouble SpotsTrouble spots for this course can include: ≠ Students not understanding the physical meaning of the Laplace variable “s”. This will likely remain a mystery. Instead, focus on how conservation laws in the Laplace domain can be arranged to yield key information about process behaviors through parameters like gains and time constants. ≠ Bringing in computing tools too early or too late. Students must understand the how and why before actively developing models with software like Simulink. The appropriate time to introduce them will depend on your curriculum, but probably should be after
CenturyLiberal Education?” Web. Last accessed 12 February 2017 at https://www.aacu.org/leap/what-is-a-liberal-education.4 AAC&U. (2017). “What is a 21st Century Liberal Education?” Web. Last accessed 12February 2017 at https://www.aacu.org/leap/what-is-a-liberal-education.5 Author2, 2015.6 Author2 and Author 1, 2016.7 Tobias, S. Engineering-Enhanced Liberal Education Project, “Introduction.” Web. Lastaccessed 12 February 2017 at https://www.asee.org/documents/teagle/TobiasIntro.pdf8 Berg, B. L. and Lune, H. (2013). “Introduction to Content Analysis.” In Qualitative ResearchMethods for the Social Sciences, 8th ed. Pearson, pp. 373-410.9 Gee, J. P. (2004). “Discourse Analysis: What Makes It Critical.” In An Introduction to CriticalDiscourse
intendedmeaning of each dimension would be measured. Based on the difficulties measuring costreported in prior work,20-23 cost items were generated along two different types of cost, task effortcost (i.e., time spent) and emotional/psychological cost,21 to increase the likelihood of producinga factor measuring some aspect of cost. All STV items were displayed as a single scale whichasked respondents, “Please indicate the extent to which you agree or disagree to the followingstatements about your first position after graduating with your bachelor’s degree(s),” on a five-point Likert (bipolar) scale, from 0=“strongly disagree” to 4=“strongly agree”. Nunnally andBernstein26 recommend the use of Likert scales because they are easy to create, produce
, andstudent-centered flipped classroom and collaborative teaching and learning environments. Whilethe evolution of GLASS is an ongoing process, its designers are continually conceptualizingways in which its full potential can be tapped for the betterment of STEM programs. Portablefiles in Quiz Transfer Interface (.qti) format are available from the authors to instructors whowish to use GLASS or adapt the approach to their courses.References1. C. P. Talley and S. Scherer, "The enhanced flipped classroom: Increasing academic performance with student-recorded lectures and practice testing in a" flipped" STEM course," The Journal of Negro Education, 2013. 82(3): p. 339-347.2. R. F. DeMara, N. Khoshavi, S. Pyle, J. Edison, R. Hartshorne, B. Chen
. Malmberg, “Students’ qualification in environmental and sustainability education — epistemic gaps or composites of critical thinking?,” Int. J. Sci. Educ., vol. 38, no. 2, pp. 259–275, 2016.[30] S. Perini, M. Margoudi, M. Fradinho, O. Marco, and M. Dipartimento, “Increasing middle school students’ awareness and interest in manufacturing through digital game-based learning (DGBL),” Comput. Appl. Eng. Educ., no. January, 2017.[31] L. Stanszus et al., “Education for sustainable consumption through Mindfulness Training: Development of a consumption-specific Intervention,” J. Tea, vol. 19, no. 1, pp. 5–22, 2017.[32] C. Ormond et al., “Environmental education as Teacher Education: Melancholic reflections from an emerging
, namely interaction, independence,change, uncertainty, complexity, systems worldview, and flexibility, as shown in Table 4. Basedon these dimensions, the ST skills of an individual are evaluated. Table 4: Seven Dimensions of Systems Thinking (ST) Skills Instrument [17] Less Systemic (Reductionist) Dimension More Systemic (Holistic) Complexity (C): Expect uncertainty, work Simplicity (S): Avoid uncertainty, work on linear Level of Complexity: Comfort with on multidimensional problems
Chicago Legal Forum, 140, pp. 139-167, 1989.[2] E. Pascarella, L. S. Hagerdorn, E. Whitt, P. M. Yeager, M. I. Edison, P. T. Terenzini, A. Noura, “Women's Perceptions of a "Chilly Climate" and Their Cognitive Outcomes during the First Year of College,” Journal of College Student Development, 38(2).[3] M. Ong, C. Wright, L. Espinosa, and G. Orfield, “Inside the Double Bind: A Synthesis of Empirical Research on Undergraduate and Graduate Women of Color in Science, Technology, Engineering, and Mathematics,” Harvard Educational Review, 81(2), pp. 172–209, Summer 2011.[4] A. Bandura, “Self-efficacy,” in Encyclopedia of Human Behavior, V. S. Ramachaudran, Ed. New York: Academic Press, 1994, pp. 71-81
] N. A. o. E. 2005, Engineering Research and America's Future: Meeting the Challehges of a Global Economy. Washington, DC: The National Academies Press, 2005.[2] J. Estrin, Closing the innovation gap : reigniting the spark of creativity in a global economy / Judy Estrin. New York, NY: McGraw-Hill, 2009, p. 254.[3] N. S. Foundation, "Preparing the Next Generation of STEM Innovators: Identifying and Developing our Nation’s Human Capital," National Science Foundation, p. 62, 2010.[4] T. Haertel, C. Terkowsky, and I. Jahnke, "Where have all the inventors gone?," Proceedings of ICL, pp. --, 2012.[5] A. A. Astin, Helen S., "Undergraduate Science Education: The Impact of Different College Environments on the
Civil and Environmental Engineering Researchers at Two Canadian UniversitiesIntroductionIn the fall of 2017 and winter of 2018, librarians from the University of Toronto (U of T) andUniversity of Waterloo (Waterloo) interviewed civil and environmental engineering researchersat their respective institutions to learn about their research practices and needs [1], [2]. All of theresearchers interviewed are tenured or tenure stream faculty with the title of Assistant, Associate,or full Professor. The interviewees will be referred to as “researchers” for the most partthroughout this paper because that is the preferred term in the contexts described. The interviewswere part of a larger study facilitated by Ithaka S+R, a not-for
selective; S designates Page 26.171.3selective; HTI designates Higher transfer-in; LTI designates lower transfer-in; L4 designateslarge four-year; M4 designates medium four-year; S4 designates small four-year; NR designatesprimarily nonresidential; R designates primarily residential; and HR designates highlyresidential. Name Gender Race Major Year in Home institution school profileAnusha Female Not Mechanical Sophomore RU/VH, MU, given Engineering FT4/MS/LTI, L4/REric Male Asian
until it reaches the specimen surface where some of the wavereflects back into the incident bar. The rest of the stress wave continues propagating through thetransmitter bar. In classical SHPB analysis, the specimen strain and stress can be estimated usingthe strain signals measured on the incident and transmitter bars based on the equations derived inreference [11]. The specimen strain is determined as a function of time by simplycalculating the following integral. 2C 0 t Ls 0 s (t ) R (t )dt (2)where (t) is the reflected incident bar strain history collected from the strain gauge
expectations. Engagement according toSmith et al.’s [11] model depends on the effectiveness of teams, as students work in learningcontexts that require high activity and problem-solving. In addition to these functional definitions of engagement, an assessment instrument hasalso been developed in order to standardize definitions and measurement of engagement in highereducation. The National Survey of Student Engagement (NSSE) was developed in 2000 to assessundergraduate student engagement [21]. It consists of four themes with indicators that defineengagement: (1) academic challenge, with the indicators of higher-order learning, reflective &integrative learning, learning strategies, and quantitative reasoning; (2) learning with peers, withthe
of the LelandStanford Junior University. The opinions expressed are those of the authors and do not representviews of the Institute or the U.S. Department of Education or the Board of Trustees of the LelandStanford Junior University.References[1] K. Crenshaw, “Demarginalizing the intersection of race and sex: A black feminist critique of antidiscrimination doctrine, feminist theory and antiracist politics,” University of Chicago Legal Forum, 140, pp. 139-167, 1989.[2] E. Pascarella, L. S. Hagerdorn, E. Whitt, P. M. Yeager, M. I. Edison, P. T. Terenzini, A. Noura, “Women's Perceptions of a "Chilly Climate" and Their Cognitive Outcomes during the First Year of College,” Journal of College Student Development, 38(2
) Nathanael et al., Dekker & (2014) Woods (2010) Hollnagel et al. (2006)References[1] S, Flumerfelt, F-J Kahlen, A. Alves, and A.B. Siriban-Manalang, “Lean EngineeringEducation : Driving Content and Competency Mastery. Momentum Press, 2015.[2] K. O’Brien, S. Venkatesan, S. Fragomeni & A. Moore, “Work Readiness of Final-Year CivilEngineering Students at Victoria University: A survey”, Technical Paper, Institution ofEngineers Australia, Australiasian Journal of Engineering Education, Vol 18, No. 1, 2012.[3] N.V. Hernandez, A. Fuentes & S. Crown, “Effectively Transforming
. Page 13.935.10Table 4. Green and sustainable engineering resources for educators. Books Authors Year Title Allen, D. T., Shonnard, D.R. 2001 Green Engineering: Environmentally Conscious Design of Chemical Processes American Society of Civil Engineers 2004 Sustainable Engineering Practice: An Introduction Brissaud, D., Tichkiewitch, S., 2006 Innovation in Life Cycle Engineering and Sustainable Zwolinski, P. Development Camarinha-Matos, L. M. 1997 Re-engineering for Sustainable Industrial Production Doble, M., Kumar, A. 2007 Green Chemistry and
. Some of these include engineering and design,production and operations, research and development, quality management and improvement,information technology, marketing and sales, management, human resources, and evenworkplace safety and health. Thus, bio-based industries are very germane to engineering andtechnology disciplines. Bio-based operations require skill sets similar to traditionalmanufacturing settings, but also have a need for additional knowledge in biological sciences,which can vary according to the specific product(s) produced at a given facility (i.e., energy,fuels, chemical, or products). For example, equipment, processes, and unit operations must bedesigned; these systems must be optimized, modeled, and simulated; and
U.S. Merchant Marine Academy. Her pri- mary teaching responsibilities are in the solid mechanics and materials areas. She was awarded the 2012 ASEE NCS Outstanding Teacher Award. Vernaza consults for GE Transportation and does research in the area of alternative fuels (biodiesel), engineering education (project based learning and service learning), and high strain deformation of materials. She is one of the PIs of two NSF S-STEM grants and one NSF ADVANCE-PAID grant.Dr. Barry J Brinkman, Gannon UniversityDr. Scott E Steinbrink, Gannon University Dr. Scott Steinbrink is an associate professor of Mechanical Engineering
into the tissue (in fact, a depth of penetration can bedefined as the depth at which the irradiance has been reduced to 1/e of the incidentirradiance), and the amount of light reaching each depth can be calculated exactly. However,in most tissues scattering cannot be ignored and contributes significantly to light distribution.In this case it is no longer possible to use a simple, intuitive model like Beer’s law to predictlight distributions. In its most general form for situations where both absorption andscattering play a role, spatial light distribution is described by the light transport equationwhich relates the gradient of radiance at some position ‘r’ in direction s to losses due toabsorption and scattering and gain due to scattering
this change. During these years of transition Russia willalso face a problem which most fledgling democracies face - a generation of disenchanted youth. The future hopes of this nation, in the midst of all its anxiety, have been thrust upon the youngpeople, for they are the ones who have, perhaps by fate, been assigned to live through it.The task before the young is a formidable one. As reported in the International Labor Review(1994): First, the sheer size of its [Russia s] population and economy raises training and skill-related issues of unparalleled proportions; second, the political and economic reforms implemented in the final years of perestroika and in the aftermath of the
in educationalresearch on a broad scale.AcknowledgementsThe authors would like to gratefully acknowledge the National Science Foundation for theirpartial support of this work (DUE grant number 1504618). 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.References[1] National Center for Education Statistics. (2020). The SAGE Encyclopedia of Higher Education. https://doi.org/10.4135/9781529714395.n400[2] M. Parry (2012). " Supersizing" the College Classroom: How One Instructor Teaches 2,670 Students. Chronicle of Higher Education.[3] M. Soledad, J. Grohs, S. Bhaduri, J. Doggett, J. Williams, and S
% 60% 40% 18% 15% 20% 0% CIT 12000 CIT 21400 Agree Neither agree or disagree Table 7: Perceptions of Mentees towards Mentoring CIT 12000 CIT 21400 The mentors gave me the sense that s/he and I The mentors modeled how to overcome challenges shared similarities in the background. and reach personal goals. The mentors helped me explore resources to The mentors showed me how to treat failed succeed academically. attempts as a
participants to expand upon previousanswers and provide additional insights into their relationships with their advisor(s). Thequestions are included in Table 3 in Appendix A.The survey was reviewed by a group of graduate students outside of the participant pool acrossmultiple institutions and by our grant’s external advisory board. The survey was revised based onfeedback to improve clarity and ensure the appropriateness of selected subscales. Once responsesto the recommendations from the external feedback sources were implemented, the final surveywas administered via Qualtrics and was made available to participants for four weeks. Theresearchers’ Institutional Review Boards approved this study (HUM00230743, #23-901).ParticipantsThe survey was
their collective ability tomeet established research standards. Such assessment is commonly performed through a reviewof the publication(s) associated with that field of practice. By evaluating multiple years ofpublication, the caliber of research can also be evaluated for trends. Several examples of suchself-assessment studies have been performed in the field of engineering education. Thisliterature review is subdivided into three sections: example studies of scholarship, suggestedscholarship standards, and description of scholarship standards.Example Studies of ScholarshipWankat (1999) published the results from a critical review of 20 issues of the Journal ofEngineering Education (JEE). His review included 231 articles published in JEE
range of 35 ft/s ~ 40 ft/s, slow enough to allow the wireless video system to stream video. The aircraft should have good dynamic stability in all axes, and the neutral point should be far enough aft of the CG to facilitate a large static margin for good longitudinal static stability.The students decided that a flying wing configuration would satisfy these basic design criteria.The flying wing configuration allowed simplified analysis, design and fabrication as well asproviding a lightweight and aerodynamically efficient platform. A flying wing produces liftmore efficiently than a conventional aircraft configuration of wings, fuselage, and tail. Sinceweight is one of the primary concerns in the aircraft design, the flying