? 4) In what sustainability related topic(s) are civil engineering students most interested? 5) What do CEE students credit as the primary source of their sustainability knowledge?The CEE Curriculum at Virginia TechThe CEE department at VT offers a Bachelor of Science in Civil Engineering (BSCE). Unlikesome institutions, Environmental Engineering does not constitute a separate undergraduate majorfrom Civil Engineering at VT. The Myers-Lawson School of Construction is a joint venturebetween the colleges of engineering and architecture. The school offers a Bachelor of Science inConstruction Engineering and Management (CEM). The curricula for the CEE and CEM degreesare similar, but the CEM degree provides more focus in construction
: 100,000×0.6 m= =0.765 kg 287×273.15The specific heat cv is a function of temperature, and is evaluated at the target temperature of0oC, i.e., cv = 0.717 kJ/kg-K. The equation for Qopening can then be simplified as j Q opening=mc v ∑ ,.T -k k=1An assumed door-use behavior is given in Table 2 below (j = 5): Table 2. Pattern of Refrigerator Door Opening. Duration of Air Exchange, Δt Ti = 0.1xΔt ΔT = Ti - 0 (s
: What is DNA? How is genetic information transferred?Hands on Activity #1: DNA to ProteinsQuestion(s): What are the different macromolecules involved in genetic informationtransfer? What are the differences between DNA and RNA? How does RNA becomeprotein?Materials: genetic code chart, index cards (four different colors would be ideal, if not twocolors, worst case all white), scissorsHands on Activity #2: Banana DNAWebsite link: http://www.stevespanglerscience.com/lab/experiments/strawberry-dna/Question(s): DNA is the genetic code in all living things. Where does the DNA reside inthe banana? How do you get the DNA out? Why does DNA separate in the final step?Materials: banana, isopropyl alcohol, dish soap, salt, Ziploc bag, sieve, water
0.40 0.59 (α = 0.86) involving technology (q) Identifying technical solutions that are as 0.40 0.50 simple as possible (s) Designing and conducting experiments to 0.55 0.55 test an idea (y) Searching for innovative ways to do things 0.38 0.50 (v) Improving a design to make it more efficient 0.46 0.47 (faster, better, cheaper) (z) Using technology to solve environmental 0.41 0.68 problems (aa) Creating prototypes to test an idea 0.78 0.36 (cc) Designing a system, a part/component of a 0.68
students’ understanding of a mathematical topic.20,21 Theexamples in engineering education target interpretation and feedback processes that takes intoaccount student cognition. Diefes-Dux et al.’s framework is on feedback in model-elicitingactivities.22 In engineering design, Beyerlein and colleagues present an assessment frameworkfor capstone design courses23 building on the assessment triangle model by Pellegrino,Chudowsky, and Glaser.18 To our knowledge, there are no assessment frameworks thatspecifically target first-year introductory engineering courses.Competencies and Learning ObjectivesHigher-level skills encompass multiple distinct components (i.e., core competencies) associatedwith each skill. Table 1 presents five competencies among a
and Riverbed University TeachingProgram for proving Packet tracer and Riverbed Modeler for free to our students conducting labactivities in the Department of Technology Systems (TSYS) at East Carolina University (ECU).We would also like to thank College of Engineering and Technology for their tech support,especially Mr. Keith Thomson for his assistance in setting up the learning environment.References 1. N. I. Sarkar and T. M. Craig, “Teaching Wireless Communication and Networking Fundamentals Using Wi-Fi Projects,” IEEE Transactions on Education, Volume 49, Number 1, pp. 98-104, February 2006. 2. T. J. M. Sanguino, C. S. Lopez, and F. A. M. Hernandez, “WiFiSiM: An Educational Tool for the Study and
-engineering-and-tech/.6. Grandy, J. (1998). Persistence in science of high-ability minority students. Journal of HigherEducation, 69(6), 589-620.7. Li, Q., Swaminathan, H., & Tang, J. (2009). Development of a classification system forengineering student characteristics affecting college enrollment and retention. Journal ofEngineering Education, October, 361-76.8. Lord, S., Camacho, M., Layton, R., Long, R., Ohland, M., & Wasburn, M. (2009). Who’spersisting in engineering? A comparative analysis of female and male Asian, black, Hispanic,native American, and white students. Women and Minorities in Science and Engineering, 15,166-190.9. Bottomley, L., Rajala, S., & Porter, R. (1999, November). Women in engineering at NorthCarolina State
of this effort in 2014. Partnering with Minority serving institutions, The VerizonFoundation has funded 12 programs to address the gap in engineering and computing programsfor low-income minority males in grades 6 - 8, living in urban and rural areas. This paperprovides preliminary results from the first year of the program at a single institution.Table 1: 2014 US Population and Employment Statistics in Science and Engineering (S&E), by gender and race (NSF, 2015) [4] Female Female Female Male Male Male population S&E Engineering population S&E Engineering White
hard the student worked. I would not recommendslowing it down at all.” Additionally, the researchers will collect data to determine students’interest and motivation in STEM during the coming summer workshop. Additional qualitativeand quantitative data will be analyzed in a future publication as we collect more data from futureworkshops. This years’ workshop was the first and a pilot for many similar summer workshopsto take place over the seven years of the project.AcknowledgementSupport for this research was provided by the STARS! GEAR UP Partnership grant#P334A150032 at Utah State University. Any opinions, findings, and conclusions orrecommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views
based on scheduling of the co-author of this paper, time constraints onour study existed. While interviews would have provided a deeper look at students’ views ofengineering, the time for interviews was not available. Another limitation in the consistency ofthe data was the fact that many of the students were English Language Learners or below gradelevel. Many discrepancies involving vocabulary in Questions 1-3 may be the result of a lack ofwriting ability or vocabulary. For future work, vocabulary, writing, and reading will have greaterinfluence during the units.References[1] Cerinsek, G., Hribar, T., Glodez, N., and Dolinsek, S. “Which are my future career priorities and what influenced my choice of studying science, technology
examining predictivevalidity of the RESP diagnostic exam for an array of outcomes including success within theRESP program itself.AcknowledgementsThis RESP program is partially supported by an NSF S-STEM program grant (#1565023). Othersignificant funding comes from Rice University. The research component of this program ispartially funded by the S-STEM grant, and partially funded by Rice University and the ChaoFoundation.References[1] Ackerman, P. L., Kanfer, R., & Beier, M. E. (2013). Trait complex, cognitive ability, and domain knowledge predictors of baccalaureate success, STEM persistence, and gender differences. Journal of Educational Psychology, 105(3), 911–927. https://doi.org/10.1037/a0032338[2] Richardson, M
education research, Cambridge University Press, pp. 267–282.[3] B. W. McNeill, L. Bellamy, and V. A. Burrows. 2000. “Team Norms and Communication,” in Introduction to Engineering Design, 9th ed., McGraw Hill Higher Education, pp. 1–13.[4] S. Gorman. 2014. Peering into the Culture of a Civil Engineering Discipline and Finding the White Rabbit, PhD Dissertation, Northern Arizona University. 285 pp.[5] R. Stevens, A. Johri, and K. O’Connor. 2014. “Professional engineering work,” in Cambridge handbook of engineering education research, Cambridge University Press, pp. 119–137.[6] E. Godfrey. 2007. “Cultures within cultures : Welcoming or unwelcoming for women ?,” ASEE, 19 pp.[7] S. J. Spencer, C
Light.Challenges of the Smart PLC Traffic Light Controller: This project intentionally leaves a marginfor students to go farther with their work. Student teams can modify or expand the projectconsidering the pedestrian crossing the intersection, and also thinking in drivers who want to doa left turn in any of the streets.ACKNOWLEDGEMENTSThis material is based upon work supported by the Research Experiences for Teachers Program(RET) under the National Science Foundation under Grant No. 1300779. Any opinion, findings,and conclusion or recommendation expressed in this material are from the author(s) and do notnecessarily reflect the view or opinion of the National Science Foundation.REFERENCES1. Hsieh, S. and Hsieh, P.Y., “Web-based Modules for Programmable
work supported by the National Science Foundation’s AdvancedTechnology Education Program under Grant No. 1304843. 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] The San Antonio Economic Development Foundation (SAEDF) Industrial Sectors at SanAntonio. Available online at: http://www.sanantonioedf.com/industry-sectors/advanced-manufacturing/[2] The San Antonio Manufacturers Association (SAMA) Alamo Region Manufacturing IndustryWorkforce Assessment Report (November 2015). Available online at: http://www.sama-tx.org/wp-content/uploads/2016/08/SAMA_Workforce_Assessment_Report-Final-120115.pdf[3
score.ReferencesBlack, P. & Wiliam, D. (1998) Assessment and Classroom Learning, Assessment in Education: Principles, Policy & Practice, 5:1, 7-74, DOI:10.1080/0969595980050102Boud, D. (2005), Enhancing learning through self-assessment, Kogan Page, London.Burton, S., Sudweeks, R., Merrill, P., & Wood, B. (1991), How to Prepare Better Multiple- Choice Test Items: Guidelines for University Faculty, Brigham Young University Testing Services, https://testing.byu.edu/handbooks/betteritems.pdfDePaolo, C. A., & Wilkinson, K. (2014). Recurrent Online Quizzes: Ubiquitous Tools for Promoting Student Presence, Participation and Performance, International Journal of E- Learning and Learning Objects 10, https
research andprograms continue to foster innovation and discovery in science and engineer (S&E) academics.Moreover, the National Academy of Engineering (NAE) released the publication, “Changing theConversation” in 2011 to strongly encourage engineering communities to alter the messagingpresented to underrepresented populations to increase and attract more diversity (NAE, 2011).According to Dzombak et al. (2016), the NAE describes the work of an engineer as, “Engineersmake a world of difference, are creative problem-solvers, help shape the future, connect scienceto the real world, and engineering is essential to health, happiness, and safety” (p. 5).Broader Impacts of Entrepreneurship EducationEntrepreneurship education provides students with
asperspective, experience, and specialized knowledge, which, combined, may match thecomplexity of their joint challenge (Beyerlein, M., Han, S. J., & Prasad, M, 2017). Teameffectiveness emerges when the interaction process enables those unique qualities to blend into awhole, with each member engaged. However, few teams have the skills or process habits thatenable a high level of blending to occur. Therefore, this study’s focus is to identify themicro-level patterns of behavior (habits) in student teams that enable full realization of the valueof member diversity.Diversity is commonly defined as a characteristic of groups of two or more people and usuallyindicates demographic differences among group members. By leveraging diversity, teams mayachieve
familiar with. However, F2F instruction is not the most effective teaching strategies forengaging student learning (2014)1. This is because students learn from a variety of learning-styles based on how they receive and process information. Since the 1970’s research havelooked at various ways students learn and there are many models that can be used. To addressthe learning needs of engineering students Felder and Silverman (1988 and 1993)6,73 developed alearning style model (refer to Table 1).Table 1- Learning styles and definitions Category Preferred Learning Style Student Type Perception Sensory Concrete Thinkers, Practical, Oriented towards facts and
. (2015). Intellectual virtues and education practice. Social Sciences (Pakistan), 10(6), 1317-1323. doi:10.3923/sscience.2015.1317.1323[9] Karpov, А.V. (2003). Reflexivity as a mental property and methods of its diagnostics. Psychological journal, 24 (5), 45-57. (In Russian)[10] Khon, R.L. (2002). Pedagogical psychology. Teaching Principles. Moscow: Delovaya Kniga Press. (In Russian)[11] Kupriyanov, R.V., & Gorodetskaya, I.M. (2015) Global trends in higher education and thier impact on engineering training in Russia. International Conference on Interactive Collaborative Learning (ICL), pp. 244-250.[12] Subramanian, K., & Suresh, S. (2012). A meta-cognitive sequential learning
Statics Homework Tools, Journal of Online Engineering Education 4.6. Bonham, S. W., Deardorff, D. L., and Beichner, R. J. (2003) Comparison of student performance using web and paper‐based homework in college‐level physics, Journal of Research in Science Teaching 40, 1050-1071.7. Cheng, K. K., Thacker, B. A., Cardenas, R. L., and Crouch, C. (2004) Using an online homework system enhances students’ learning of physics concepts in an introductory physics course, American Journal of Physics 72, 1447-1453.8. Dillard-Eggers, J., Wooten, T., Childs, B., and Coker, J. (2008) Evidence on the Effectiveness of On-Line Homework, College Teaching Methods & Styles Journal 4, 9-16.9. Al-Masoud, N. (2006
has been offered nine times since 2004, but this was the first time such an open-endedfinal project has been used. Anecdotally, the authors observed an obvious increase in excitementand enjoyment on the part of the students due to this project. We plan to continue to use suchprojects in the future.References [1] C. S. Burrus, “Teaching filter design using M ATLAB,” in Proceedings of the IEEE International Con- ference on Acoustics, Speech, and Signal Processing, pp. 20–30, Apr. 1993. [2] R. F. Kubichek, “Using M ATLAB in a speech and signal processing class,” in Proceedings of the 1994 ASEE Annual Conference, pp. 1207–1210, June 1994. [3] R. G. Jacquot, J. C. Hamann, J. W. Pierre, and R. F. Kubichek, “Teaching digital filter design
comic must convey technical information) (3) printing of final comicsASAP, before the end of the semester and (4) rigorously assess student learning outcomes inrelation to student developed comics. Due to the positive feedback from students in this initialpilot, the instructor is encouraged to continue this effort in other courses and to perform morerigorous studies on various aspects of student learning in the future.References[1] H. J. Graff, Literacy and social development in the West: A reader. CUP Archive, 1981.[2] C. Gillenwater, “Lost literacy: How graphic novels can recover visual literacy in the literacy classroom,” Afterimage, vol. 37, no. 2, p. 33, 2009.[3] S. P. Connors, “Toward a shared vocabulary for visual analysis: An
of opportunity for transformation in the organization: What element(s) of the wheel has the most color? In our example, “Help Recruit and Retain Talent”, “Develop Professional Skills”, and “Improve Problem Solving” have the most color. These are the areas where our hypothetical organization is demonstrating the most strength and thus can be used to help buffer the areas which are weaker. It is important, however, not to diminish these elements while working on improving the other areas of the wheel. What element(s) of the wheel have the least color? These are the areas that make the wheel “flat”. In our example, “start new lines of operations” and “transfer best practices” are certainly
in Washington D.C.’s Petworth neighborhood consisting of twenty separateresidences. Two of these are multi-family residences, consisting of six apartments each, with asquare footage of 700 square feet with a variance of 50 square feet. The other 18 residences weresingle-family homes with a square footage of 1700 feet, with a variance of 400 feet. These valueswere obtained with the assistance of the U.S. Census Bureau’s American Housing Survey, whichcan be used as a basis for determining the nature of housing in a given area [10]. With GridLab-D, these variances allow for randomization in the model with 400 feet as the value for onestandard deviation. In addition, five separate power demand schedules were generated anddistributed amongst the
., Warren, C., & Newcombe, N. S. (2013). The malleability of spatial skills: A meta-analysis of training studies. Psychological Bulletin, 139(2), 352-402. 4. Carroll, J. B. (1993). Human cognitive abilities: A survey of factor-analytic studies, Cambridge University Press, New York. 5. Hegarty, M., and Waller, D. (2004). “A dissociation between mental rotation and perspective-taking spatial abilities.” Intelligence, 32(2), 175–191. 6. Lohman, D. F. (1988). “Spatial abilities as traits, processes, and knowledge.” Advances in the psychology of human intelligence, R. J. Sternberg, ed., Vol. 4, Psychology Press, New York, 181–248. 7. Maeda and Yoon 2013 8. Sorby, S., Casey, B., Veurink
, 2015.2. A. Nazempour, P. Golter, C. D. Richards, R. F. Richards, and B. Van Wie. Assessments of Ultra- Low-Cost Venturi Nozzle in Undergraduate Engineering Classes, ASEE annual Conference, Seattle WA, 2015.3. S. W. Njau, B. J. Van Wie, J. K. Burgher, P. B. Golter, R. F. Richards, C. D. Richards, F. S. Meng, O. O. Adesope, N. Hunsu, N. Beheshtipour, P. Dutta, D. B. Thiessen, and A. D. Graviet. Miniature Low-Cost Desktop Learning Modules for Mulit-Disciplinary Engineering Process Applications, ASEE Annual Conference, Seattle WA, 2015.4. C. D. Richards, F. S. Meng, B. Van Wie, P. Golter, and R. F. Richards. Implementation of Very Low- Cost Fluids Experiments to Facilitate Transformation in
, and Ella Ingram, Associate Professor of Biologyand Director of the Center for the Practice and Scholarship of Education, Rose-Hulman Instituteof Technology.Support for training, deployment, and assessment of the module was provided as a KEEN mini-grant to the University of Cincinnati faculty.9. References[1] Byers, T., Seelig, T., Sheppard, S. and P. Weilerstein, P., “Entrepreneurship: Its Role in Engineering Education,” The Bridge, Vol. 43, No. 2, 2013, pp.35-40.[2] University of New Haven, “KEEN: Fostering an entrepreneurial mindset through integrated e-learning modules,” http://www.newhaven.edu/engineering/kern-entrepreneurial- engineering-network/elearning-modules/, accessed 2/9/2017.[3] Prestero, T., “Design for People
further their own sustainability initiatives by having their buildings certifiedthrough the LEED for Existing Buildings: Operations and Maintenance process. This paperprovided a description of one institution’s implementation of LEED Lab, from initiation throughbuilding certification. Readers might find, as the authors did, that the LEED Lab programprovides a tremendous opportunity to incorporate sustainability education and action into asingle course that prepares students with the knowledge and experience to be the green buildersof the future.Bibliography1. Buente, S. (2016, February 10). LEED Lab: Sustainability in higher education goes global. Retrieved from http://www.usgbc.org/articles/leed-lab-sustainability-higher-education-goes
Strategy: Machines r Strategy: Strategy: Strategy: Identify Strategy: a Identify Blend three Summarize text rhyming words Summarize c beginning and letters in sound using interactive and patterns narrative text y ending sounds boxes that writing with interactive of words represent the sentence writing phonemes of a word S Identify the Learn about Test the strength Identify and Test baskets T properties of properties of of dry/wet paper create patterns, with wet and E the paper
Structures, McGraw Hill, 1953.7. Ugural, A.C., Fenster, S.K., Advanced Strength and Applied Elasticity, Elsevier, 1975.8. Wang, C.T., Applied Elasticity, McGraw Hill, 1953.9. Timoshenko, S. Goodier, J.N., Theory of Elasticity, Third Edition, McGraw-Hill, 1934.10. Timoshenko, S. Gere, M.G., Theory of Elastic Stability, Second Edition, McGraw-Hill, 1961.11. Timoshenko, S., Woinowsky-Krieger, S., Theory of Plates and Shells, Second Edition, McGraw-Hill, 1959.12. Jones, R.M., Mechanics of Composite Materials, McGraw-Hill, 1975.13. Logan, D.L, A First Course in the Finite Element Method, Fifth Edition, Cengage Learning, 2016.14. Cook, R.D., Malkus, D.S., Plesha, M.E., Witt, R.J., Concepts and Applications of Finite Element Analysis, Fourth Edition