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other related disciplines have changed substantially, and so we are really out of touch (speaking broadly not individually). o As an example, the singular-value decomposition (SVD) in linear algebra is a widely used technique in statistics, computer science, engineering, finance, and economics, and yet many pure mathematicians are unfamiliar with the topic, in large part because good numerical algorithms weren’t developed until the 1960’s and 1970s. To many mathematicians, linear algebra is the study of the algebraic properties of vector spaces and linear transformations. Some mathematicians pay little attention to the geometric
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build a professional network with the possibility of future employment. A potential long‐term benefit of this experience could be an increased number of off‐site internships. After past interns see the benefit of the program, they may offer similar opportunities to future interns, thus continuing to influence future curriculum, mentorship and ultimately ensuring an industry‐ready student pipeline. Acknowledgement This work is supported by the National Science Foundation under grant numbers DUE‐1407160. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. References
a more homogeneouspopulation as is characteristic of rural schools. Future research should address how the approachfunctions in more diverse urbanized populations. In addition, we seek to better understand howengagement in M3 can influence STEM knowledge acquisition and self-concept in participatingstudents.References1. Quek, F., et al., Making in The Colonias: Motivating STEM Participation through a Making as Micro-Manufacturing Model, A.I.S.L. (AISL), Editor. 2016.2. Mitchell, J., Berman, A., Quek, F., Chu, S., Natarajarathinam, M., Kuttolamadom, M.A, Motivating STEM Participation through a "Making as Micro-Manufacturing" Model. 2017, Texas A&M University: 2017 Engineering Undergraduate Summer Research Grant
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toprofessionally classification (Gruber, 2005). Critics view (Peterson 2006; Lee & Neal 2010;Weinberger 2005) folksonomies as unsophisticated, unsystematic, interpretive, and subjective,but those in favor of social tagging point out the value of collaborative indexing and groupintelligence (Avery 2010). Language, cultural, intellectual, and experiential barriers maycomplicate the understanding of the Library of Congress classification system for ESL studentsbecause even if they understood the search terms, they may not understand their association withthe resource(s) they are looking for. Academic libraries in the United States now have a uniqueopportunity to serve as mediators between knowledge organization systems andESL/international students, but
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processand the critical role institutions can play in reducing asymmetries as it relates to transfer students. AcknowledgementsThis material is based upon work supported by the National Science Foundation EngineeringEducation and Centers under Grant Number DUE-1644138. 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. National Academy of Engineering, U., The engineer of 2020: Visions of engineering in the new century. 2004: National Academies Press Washington, DC.2. Carr, R.L., L.D. Bennett IV, and J. Strobel
year teachers, particularly those without an engineering master’sdegree.A special “Thank You” to our sponsors and collaborators who contribute to the success of ENGR 102 HS and make this work possible: The Marshall Foundation, the Salt River Project, the Arizona Department of Education, Purdue University College of Engineering, Delaware State University Psychology Department, NeuroTinker, Inc. and the National Science Foundation. References[1] Geiser, S., & Santelices, V. (2006). The role of advanced placement and honors courses incollege admissions. Expanding opportunity in higher education: Leveraging promise. 75114.[2] Rogers, J., Vezino, B., Baygents, J., Goldberg, J
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reduced, allowing for more detailed and interesting findings.3.2.5 Tests for AssumptionsIn order to understand the validity of our data set and the subsequent analysis, a few assumptionsmust first be tested which the factorial ANOVA takes into account. The assumption of normalitywas tested via examination of the residuals. Review of the Shapiro–Wilk (S-W) test fornormality and skewness and kurtosis statistics suggest whether or not normality was a reasonableassumption. The boxplot of the residuals is analyzed for a relatively normal distributional shape.The Q–Q plot and histogram are also examined for normality. The assumption of homogeneityof variance (homoscedasticity) is tested by conducting Levene’s test.Random assignment of individuals to
federally funded projects. Dr. Sydlik’s interests are in supporting efforts to improve the educational experiences and outcomes of undergraduate and graduate STEM students. She is or has been the lead external evaluator for a number of STEM and NSF-funded projects, including an ERC education project, an NSF TUES III, a WIDER project, an NSF EEC project through WGBH Boston, two NSF RET projects, an S-STEM project, a CPATH project, and a CCLI Phase II project. She also currently serves as the internal evaluator for WMU’s Howard Hughes Medical project, and has contributed to other current and completed evaluations of NSF-funded projects.Dr. Allison Godwin, Purdue University at West Lafayette Allison Godwin, Ph.D. is
exercise challenges student to consider what error(s)and considerations must be made to appropriately calibrate and characterize and instrumentwithout a step-by-step lab handout.4 - Strain Measurement, Signal Conversion, & Quantization ErrorsA strain gage is carefully mounted by students to an aluminum beam using a manufacturer’sinstallation and data sheet. With the gage affixed, the beam is mounted in a cantilever fashionafter which a series of weights are suspended to it in a sequential test. The resistance of the straingage is measured for each series of weights. Next, a Wheatstone bridge is constructed in a ¼bridge configuration. A series of weights are suspended again in a sequential test after which thebridge output voltage is measured