Paper ID #20380Incorporating Polymer Engineering in the ClassroomProf. Sarah E Morgan, University of Southern Mississippi Dr. Sarah Morgan is a Professor in the School of Polymers and High Performance Materials at The University of Southern Mississippi. She joined The University in November of 2002 after a fourteen year career in industrial R&D in engineering thermoplastics, at GE Plastics locations around the world. Morgan’s current research focuses on polymer surfaces and interfaces, including composites, nanocom- posites, and bioinspired materials. She was named a POLY Fellow by the Polymer Chemistry Division of
made apparent duringthe interview. These characteristics were the focus of the initial participant background phase ofthe interview, but also arose throughout the interview. Because these codes arose from a singleinterview, they certainly do not comprehensively describe all characteristics of the participants.However, they do indicate aspects the participants felt salient to discuss in the context of aninterview focused on their experiences with innovation and in response to questions about (a)their personal and academic interests and background, (b) their experiences with innovation, and(c) their general conceptions of innovation.Project characteristics included any aspect of an innovation project a participant discussed. Theseincluded but
Paper ID #17888Maintaining Student Engagement in an Evening, Three-hour-long Air Pollu-tion Course: Integrating Active Learning Exercises and Flipped ClassesMajor Andrew Ross Pfluger P.E., Colorado School of Mines Major Andrew Pfluger, U.S. Army, is a PhD Candidate at the Colorado School Mines studying anaerobic treatment of domestic wastewater. He previously earned a B.S. in Civil Engineering from USMA and a M.S. and Engineer Degree in Environmental Engineering and Science from Stanford University. He is a licensed PE in the state of Delaware. Major Pfluger served as an Assistant Professor in the Department of Geography
focus on the impact that engineeringwork can have on society, to place these topics in multiple existing courses, or to have focusedcourses designated solely to ethics and broader impact issues.AcknowledgementThis material is based on work supported by the National Science Foundation under Grants#1540348, #1540341, and #1540308. Any opinions, findings, and conclusions orrecommendations expressed in this material are those of the authors and do not necessarilyreflect the views of the National Science Foundation.Bibliography1 D. R. Haws, "Ethics instruction in engineering education: A (mini) meta-analysis," Journal of Engineering Education, vol. 90, no. 2, pp. 223-229, 2001.2 B. Newberry, "The Dilemma of Ethics in Engineering Education
Paper ID #18763Middle School Math and Science Teachers Engaged in STEM and Literacythrough Engineering Design (Evaluation)Prof. Reagan Curtis, West Virginia University Reagan Curtis, Ph.D., is Professor of Educational Psychology and chair of the Department of Learning Sciences and Human Development at West Virginia University. He pursues a diverse research agenda in- cluding areas of interest in (a) the development of mathematical and scientific knowledge across the lifes- pan, (b) online delivery methods and pedagogical approaches to university instruction, and (c) research methodology, program evaluation, and data
Research Association Annual Meeting, Chicago, IL.13. Arreola, R. A. (1995). Developing a Comprehensive Faculty Evaluation System, San Fransico, CA: Jossey-Bass.14. Theall, M. and Arreola, R. A. (2006). “The Meta-Profession of Teaching,” Thriving in Academe, Vol. 22, No. 5, pp. 5-8.15. Condon, W., Iverson, E. R., Manduca, C. A., Rutz, C., & Willett, G. (2016). Faculty development and student learning: Assessing the connections. Indiana University Press.16. Whittaker, J. A., & Montgomery, B. L. (2014). Cultivating institutional transformation and sustainable STEM diversity in higher education through integrative faculty development. Innovative Higher Education, 39(4), 263-275.17. Gardner, S. K. (2008
undergraduate research? Counc. Undergrad. Res. Q., 17(163).5 Lave, J. and Wenger, E. (1991). Situated Learning: Legitimate Peripheral Participation. New York: Cambridge University Press.6 Wenger, E. (1998). Communities of practice: learning, meaning, and identity. Cambridge, MA: Cambridge University Press.7 Gee, J. P. (1999). An Introduction to Discourse Analysis: Theory and Method. New York: Routledge.8 Carlone H. B. and Johnson, A. (2007). Understanding the Science Experiences of Successful Women of Color : Science Identity as an Analytic Lens. J. Res. Sci. Teach., vol. 44, no. 8, pp. 1187–1218.9 Cass, C., Hazari, Z., Cribbs, J., Sadler, P. M. and Sonnert, G. (2011). Examining the Impact of Mathematics Identity on the Choice of
appreciate; it boosted my grade and moral, and built my academic confidence. This scholarship boosted my grade noticeably. Although, I never fall class before, it was a concerning issue to eliminate lower letter of C+ from my grade in every semester. Fortunately, right after I was awarded with the ESI scholarship, B” was the lowest grade I had on that semester. Moreover, I used to struggle with twelve to fifteen credits per TABLE II. AWARDS MADE UNDER THIS PROJECT Awards Awards Year Total Females Total Average 2014 5
Description df χ2 p CFI IFI SRMR CAIC Hypothesized Models 1. Direct Effects Only 21 1000.43 < .001 .176 .181 .403 1098.78 2. Indirect Effects Only 12 349.63 < .001 .716 .720 .178 506.99 3. Both Direct & Indirect Effects 6 339.23 < .001 .720 .725 .177 535.94 Additional Bidirectional Paths Correlated Errors A. Among Mediators 9 61.51 < .001 .956 .957 .035 238.54 B. Among Outcomes 9 297.79 < .001 .757 .761 .171 474.82 C. Among Mediators & Outcomes 6
board, but other people feel afraid and unsure about what that might mean for them.Finally, the scale of the institution itself can be a barrier to broadening participation in therevolution: [B]ecause of the size of [the institution] and how many things are going on, there are a lot of initiatives, a lot of projects people are working on, which is fantastic but it also kind of overwhelms people in the sense that it's hard to really find momentum in something unless it keeps going, because there's always another initiative that's springing up that people latch on to. So it's a little bit of a challenge to keep people focused on something and follow through.The main idea described here is ‘initiative
Conclusion A Yes Yes Yes Yes Yes B No No No No No C Yes Yes Yes Yes Yes D No No No Yes No E No No No No No To summarize all those interviews, surveys and samples, it is found that although LOCsproblems existing in Chinese international students and scholars at different stages of theiracademic career paths, HOCs have long been their weakness in their technical writing.V. Proposals for Improvement Since China adopted its open
developing a problem statement prior to beginning work on anydesigned solution. This included a statement that described the problem their team soughtto address and provided an explanation and data demonstrating a) what the problem is(i.e., how do we know it exists in the place you are studying?) What peer-reviewedsources and credible news accounts give evidence of this problem); b) the impacts of theproblem; c) the cause or causes of the problem. In each case, we challenged students toprovide not only a claim, but also data (peer-reviewed sources and credible newsaccounts giving evidence that the claim is true), followed by a warrant or explanationthat logically connected the data to the claim.When students arrived at the design phase (in the
-Saffih_Fall2016[10] http://bit.ly/Fundamental_of_Microelectronics_by_Dr_Faycal-Saffih_Spring2017[11] Fayçal Saffih, W. A. T. Wan Abdullah, Z. A. Ibrahim, A. Iftekhar, "Parallel Learning-Processing for Artificial Neural Networks Implementation" Scientific International, 10 (3), Kuala Lumpur, Malaysia, at ISO 98, 7-9 May, 1998.[12] http://bit.ly/Dr_Faycal-Saffih_Research_Driven_Teaching_Philosophy[13] B. Kosko, "Bidirectional associative memories," in IEEE Transactions on Systems, Man, and Cybernetics, vol. 18, no. 1, pp. 49-60, Jan/Feb 1988.[14] http://bit.ly/Mathematical_Proof[15] http://bit.ly/Experimental_Proof[16] http://bit.ly/Special_Diodes_Class-Dr_FaycalS[17] http://bit.ly/Special_Diodes_Lab-Dr_FaycalS[18] http://bit.ly/off
). 3. Gumaelius L, Almqvist M, Árnadóttir A, Axelsson A, Conejero JA, et al. 2016. Outreach initiatives operated by universities for increasing interest in science and technology. European Journal of Engineering Education 41:589-622. DOI: 10.1080/03043797.2015.1121468 4. Ruggs E, Hebl M. (2012) Diversity Inclusion and Cultural Awareness for Classroom and Outreach Education. In B. Bogue & E. Cady (Eds). Apply Research to Practice (ARP) Resources Retrieved 02/17/2017 from http://www.engr.psu.edu/AWE/ARPResources.aspx 5. Anthony AB, Greene H, Post PE, Parkhurst A, Zhan X. 2016. Preparing university students to lead K-12 engineering outreach programmes: a design experiment. European Journal of
): p. 75-86.13. Sorofman, B., et al., AACP COF Faculty Affairs Committee Final Report, July 2012.14. Noe, R.A., Is career management related to employee development and performance? Journal of organizational behavior, 1996. 17(2): p. 119-133.15. Elliott, E.S. and C.S. Dweck, Goals: an approach to motivation and achievement. Journal of personality and social psychology, 1988. 54(1): p. 5.16. Locke, E.A. and G.P. Latham, Building a practically useful theory of goal setting and task motivation: A 35-year odyssey. American psychologist, 2002. 57(9): p. 705.17. Matusovich, H.M., et al., Faculty motivation: A gateway to transforming engineering education. Journal of Engineering Education, 2014. 103(2): p. 302-330.18
, medicine, and arts were favored less than social sciences by male students. Environmentalscience, defense, and business studies are favored by male students as compared to performing arts as well asdefense studies was favored as compared to medicine. Environment science, defense and business studies are alsofavored by male students over arts.Academic performanceTable 5 provides cumulative grade point averages (CGPA) of students by areas. The college follows 10-pointgrading system with A, B, C, D, F grades, which are equivalent to 10,8,6,4,0 points, respectively. Since thestandard deviation can be considered equal (the ratio between the highest and the lowest deviation is less than 2),we ran ANOVA with Dunnett comparison with the null hypothesis
. identify potential future students and to guide and mentor them in exploring their career options and opportunities, b. elevate the educational gaps between the high school and the first year university for a potential candidate by introducing intermediate topics that can bridge the gaps, and c. provide a campus environment in which the middle school students and high school students can experience their independence and learn responsible decision making as growing adultsThe recruitment avenues include summer or weekend camps for the targeted students and areascience fairs, and feeder school visits (Barger et. al, 2104). Among them, summer camps withspecific themes for the middle and high school students are one of the
Paper ID #17883Exploring the Appeal of Customizable Computing Programs to Undergradu-ate WomenDr. Marissa H. Forbes, University of Colorado Boulder Marissa Forbes is a research associate in the College of Engineering and Applied Science at the Univer- sity of Colorado Boulder and lead editor of the TeachEngineering digital library. She previously taught middle school science and engineering and wrote K-12 STEM curricula while an NSF GK-12 graduate engineering fellow at CU. With a master’s degree in civil engineering she went on to teach advanced placement and algebra-based physics for the Denver School of Science and
generalized causal inference, thenotion that A reliably causes B and that such a relationship is reasonably stable across contexts[3]. In aiming towards causal inference, researchers control and manipulate independentvariables through experimental design in order to study effects on target dependent variables(e.g, the presentation of a tone causing dogs to salivate because of previous pairing with meat inPavlov’s classical conditioning experiments [4]). In a strict interpretation of studying humanbehavior, we cannot study cognition directly, instead we can only observe the products of anindividual’s thinking (e.g., actions taken, answers given to a test, artifacts created). Keepingthese limitations in mind, the emergence of techniques to collect data
Class Academic Year Freshmen Sophomores Juniors Seniors Total 2012-13 2 1 1 4 2013-14 8 3a 1 1 13 2014-15 6 6b 2c 1 15 2015-16 6d 5e 2f 13 2016-17 7g 4g 11 a An existing student was added as a sophomore after changing major into engineering. b One of the 2013-14
). Exploring AEC education through collaborative learning. Engineering, Construction and Architectural Management, 21(5), 532–550. https://doi.org/10.1108/ECAM-04-2013-0036[2] Cheung, S. O., Yiu, T. W., & Lam, M. C. (2013). Interweaving Trust and Communication with Project Performance. Journal of Construction Engineering and Management, 139(10), 941–950. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000681.[3] Dave, B., & Koskela, L. (2009). Collaborative knowledge management—A construction case study. Automation in Construction, 18(7), 894–902. https://doi.org/10.1016/j.autcon.2009.03.015[4] Holley, P. & Emig, E., (2010) “Changing the Culture of Design and Construction Education in the U.S.” In: Architecture
Challenge for Science and Technology in the United States. Washington, DC: Ae A, Advancing the Business of Technology.Lambright, J., Johnson, W., & Coates, C. (2009). Attracting minorities to engineering careers: Addressing the challenges from k-12 to post-secondary education. ASEE Annual Conference and Exposition, Conference Proceedings, pp. 11.Laut J., Bartolini T. & Porfiri M., (2015). “Bioinspiring an Interest in STEM,” IEEE transactions on education, vol. 58, no. 1, February 2015.Mohr-Schroeder, M., Jackson, C., Miller, M., Walcott, B., Little, D. L., Speler, L., & Schroeder, D. (2014). Developing Middle School Students' Interests in STEM via Summer Learning Experiences: See Blue
11Formal Education and Computing Professionals’ Needs and do it. And if you go to industry, they find very hard. . . but that’s what they are looking for.Degree of Coverage in the Curriculum and Their Individual Courses When we asked about the degree of emphasis of the skills described above in the CScurriculum, all participants explained that these skills are not stated explicitly in the curriculumbecause of a number of reasons: (a) faculty are not trained this way, (b) faculty do notsufficiently value them, and finally, (c) faculty have a heavy curriculum load and not enoughtime to address or even incorporate these skills. As one participant explained, This is part of team leadership, program management. It is hard to
Review of Renewable Energy Supply and Energy Efficiency Technologies. Retrieved January 4, 2017, from http://ftp.iza.org/dp8145.pdf 2. Annual installed global capacity 2000-2015 [Digital image]. (n.d.). Retrieved January 4, 2017, from http://www.gwec.net/global-figures/graphs 3. Bavel, J. V. (2013). The world population explosion: causes, backgrounds and projections for the future. FVV in OBGyn,5(4), 281-291. 4. Cardinale, B. J., Duffy, J. E., Gonzalez, A., Hooper, D. U., Perrings, C., Venail, P., . . . Naeem, S. (2012). Corrigendum: Biodiversity loss and its impact on humanity. Nature,489(7415), 326-326. doi:10.1038/nature11373 5. Dahl, T. (n.d.). Wind Power Systems. Retrieved January 4, 2017, from
topics that we covered in the that robotics is one of the best tools to introduce engineering and codingthrough educational robotics challenges. Pre-service teachers’ NOE views examine changes in PSTs’ NOE views after experiencing the engineering course: (a) technology applications in elementary science-engineering to STEM-savvy generations of the digital age.were assessed at the beginning and at the end of the methods course to unit. We specifically examined to what extent the 3-week engineering unit teaching, (b) NOE, and (c) NGSS.determine whether they improved their NOE views. NGSS aligned organized around educational robotics improved PSTs’ NOE views.challenges with the
design solutions twice to emphasizethe importance of iteration.We found that an immersive design-build-iterate experience in the 2nd year is associated withnarrowly focused improvements in 4th year capstone design outcomes. Specifically, the builtquality of the final prototype was improved in projects that focused on mechanical design, butthese improvements did not extend to other types of projects or to other late steps in theengineering design process. We discuss our findings in terms of the spacing effect, and othermeans by which engineering design behavior might be reinforced.Control yearThe control year of this design course was based around (a) a semester-long project thatculminated in an alpha prototype, and (b) a series of 1 to 3-week
the STEM Workforce, A Companion to Science and Engineering Indicators 2014, Arlington, VA: National Science Foundation (NSB- 2015-10).[3] Wendler, C., B. Bridgeman, F. Cline, C. Millet, J. Rock, N. Bell & P. McAllister. 2010. The Path Forward: The Future of Graduate Education in the United States. Princeton, NJ: Educational Testing Service.[4] Hancock, S. & Walsh, E. 2016. Beyond knowledge and skills: Rethinking the development of professional identity during the STEM doctorate. Studies in Higher Education, 41, 37-50.[5] Litalien, D. & F. Guay. 2015. Dropout intention in Ph.D. studies: A comprehensive model based on interpersonal relationships and motivational resources
teaching partnershipswith faculty in select junior and senior level courses. We proposed designing a two-to-five yearmixed methods educational research project to assess the results. (See Appendix B for a diagramof that research project.) And finally, as a critical component of that proposal, we operationalizedthe ability to communicate as communicative self-efficacy. To date, we have completed the firstpilot and are beginning the second. We have begun meeting and coordinating with MAE facultyteaching designated junior and senior MAE courses. And, we have completed the first year ofour multi-year research project.Results of the Early Term Survey for communicative self-efficacyHerein, we will be presenting the results of early term survey
. Table 4. Online Quizzes Likert Scale Survey Question Results (AS) Agree Strongly(A) (A) Agree(B) (N) Neither Agree or Disagree(C) (D) Disagree (DS) Disagree Strongly Spring 2014 Solid-State Electronics (survey submission rate: 6/7: 85.71%) Spring 2014 EM Fields (survey submission rate: 14/33: 42.42%) Spring 2016 EM Fields (survey submission rate: 22/50: 44.0%) Fall 2016 Analog Electronics (survey submission rate: 20/48: 41.67%) Fall 2016 Engineering Computation (survey submission rate: 18/29: 62.07%) Statement (AS) (A) (N) (D) (DS) The ungraded online quizzes with individual 33.33% 50.00% 16.67% 0% 0
community. Introduced in thispaper as an umbrella concept, Additive Innovation is a mode of collaboration where participantsin a community are: a) inspired by shared artifacts/ideas, b) openly share (and learn about) technology and processes used to create these, artifacts/ideas, c) design and prototype own modified version of the shared artifact/idea, and d) share their modified artifact/idea back with the community.Learning Attributes of MakingMaking is rooted in constructionism, learning by doing or Making and constructing knowledgethrough that doing 5. Aspects of Making that could appear in the engineering classroom aredescribed in the following sections. Attributes of Making come directly from themes emergingfrom our ongoing