following numeric values: A+ 4.3 B+ 3.3 C+ 2.3 D+ 1.3 F 0.0 A 4.0 B 3.0 C 2.0 D 1.0 W -1.0 A- 3.7 B- 2.7 C- 1.7 D- 0.7Analyses were performed both with and without numerical W’s included in the analysis.To identify significant covariates for DE Grade, potential independent variables were investigatedusing the traditional lecture data set. The potential variables included: • ACT Math, • Prior GPA (in previous math courses), • Number of Repeats (how many times students repeated previous math classes), • First Time (whether or not this was the first time students had taken DE), and
Paper ID #18442A Systems Approach to Analyzing Design-Based Research in Robotics-FocusedMiddle School STEM Lessons through Cognitive ApprenticeshipDr. S. M. Mizanoor Rahman, New York University Mizanoor Rahman received his Ph.D. degree in Mechanical Engineering from Mie University at Tsu, Japan in 2011. He then worked as a research fellow at the National University of Singapore (NUS), a researcher at Vrije University of Brussels (Belgium) and a postdoctoral associate at Clemson University, USA. He is currently working as a postdoctoral associate at the Mechanical and Aerospace Engineering Department, NYU Tandon School of
experiencing a nano-lesson or series oflessons?” The S-STEM survey was designed for K-12 students. The survey invites students toprovide information about their attitudes toward science, technology, engineering and mathsubjects, postsecondary pathways, and career interests. The first four sections of the survey haveitems that load onto one four constructs. Each construct contains a series of items set on a 5-pointLikert-type scale ranging from strongly disagree (1) to strongly agree (5). The four constructincluded the following (for construct items, see Appendix B):1. Math: Mathematics self-efficacy, interests, and perceptions of its future value2. Science: Science self-efficacy, interests, and perceptions of its future value3. Engineering
well as interrelated assessment cycles used for understanding engineeringeducation, but we focus on assessment cycles as defined by Lattuca and Stark’s model, shown asPaths A, B, and C in Figure 1. It is important to understand that, in this framework, whileassessment may be used to evaluate performance of faculty and students, it is primarily for thepurpose of continuous improvement of the academic plan. The following paragraphs describethe three pathways represented by Paths A, B, and C as “educational control loops” that adjustacademic plans to effectively satisfy stakeholders’ needs. Path A is the path of adjusting the academic plan within the educational environment.This may be instigated by self-study, perceptions of faculty, or
future learning activities and pursuits.Process for Becoming a World Class Engineering Student. III. Design Your Process Project LITERATURE REVIEW The Design Your Process For Becoming A World Class Engineering Student project (DYP) is a nationally adoptedI. Framework: Self-Regulated Learning reflective activity originally developed by Raymond B. Landis [11] and Steffen Peuker [12, 13]. The primary purposeFirst Year Engineering Experience (FYEE) Conference August 6 – August 8, 2017, Daytona Beach, FL
Dev. Quart, vol. 48, no. 1, pp. 3-18, 1999.(3) J. S. Eccles (Parsons), T. F. Adler, R. Futterman, S. B. Goff, C. M. Kaczala, J. L. Meece, and C. Midgley, “Expectancies, values, and academic behaviors,” in Achievement and Achievement Motivation, J. T. Spence, Ed. San Francisco, CA: W. H. Freeman, 1998.(4) S.R. Brunhaver, H.M. Matusovich, S. Sheppard, R.A. Streveler, C. Carrico, and A. Harris,“Engineering students’ professional pathways. A longitudinal mixed-methods study,” Proceedings of the Annual Conference of the American Society for American Engineering, June 26-29, 2016. New Orleans, LA.(5) C. Carrico, A. Harris, H.M. Matusovich, S.R. Brunhaver, R.A. Streveler, and S. Sheppard, “Helping engineering students get jobs
. 112.27. Denoyelles, A., J. Raible, and R. Seilhamer, Exploring Students' E-Textbook Practices in Higher Education. Educause Review, 2015.28. Liberatore, M.W., Material and energy balances zybook, 2016, Zybooks.com.29. Lepek, D. and M.-O. Coppens. Nature-Inspired Chemical Engineering: Course Development in an Emerging Research Area. in the Proceedings of the ASEE Annual Meeting. 2016. New Orleans, LA.30. Mazur, E., G. King, B. Lukoff, and K. Miller. Perusall. 2016 [cited 2016 August]; Available from: http://perusall.com/.31. Liberatore, M.W., Active Learning and Just-in-time Teaching In a Material and Energy Balances Course. Chemical Engineering Education, 2013. 47: p. 154–160.32. Liberatore, M.W., C.R. Vestal
, I., and Thornton, R. 2010. Use of interactive lecture demonstrations: A ten year study. Phys. Rev. ST Phys. Educ. Res. 6, 2, 10.1103/PhysRevSTPER.6.020119.[16] Koretsky, M., Falconer, J., L., Brooks, B., Gilbuena, D., Silverstein, D., Smith, C., and Miletic, M. 2014. The AIChE Concept Warehouse: A web-based tool to promote concept- based instruction. Advances in Engineering Education. 4(1), 1-27.
thehighest risk while still supporting those struggling to make efficient progress through thecurriculum. Our hope is that as the rate of student engagement with the assessment improves, sowill its impact on students.References[1] Tyson, C. (2014, September 10). The 'murky middle.' Inside Higher Ed. Retrieved from https://www.insidehighered.com/news/2014/09/10/maximize-graduation-rates-colleges- should-focus-middle-range-students-research-shows[2] Bloom, J. L., Hutson, B. L., & He, Y. (2008). The appreciative advising revolution. Champaign, IL: Stipes Publishing.[3] Meyer, M., & Marx, S. (2014). Engineering dropouts: A qualitative examination of why undergraduates leave engineering. Journal of Engineering Education, 103(4
, Boulder, CO, November 2003.10. Hilpert, J., Stump, G., Husman, J., Kim, W., Chung, W. T. and Lee, J. (2009). “Steps Toward a Sound Measure of Engineering Students Attitudes: Pittsburg Engineering Attitudes Scale-revised”, Proceedings of the 39th ASEE/IEEE Frontiers in Education Conference, San Antonio, Texas, October, 2009.11. Yoder, B. L. (2012). “Engineering by the Numbers”. American Society for Engineering Education, Washington, DC. http://www.asee.org/papers-and-publications/publications/ collegeprofiles/2011-profile-engineering- statistics.pdf.12. Beggs, J. M., Bantham, J. H. and Taylor, S. (2008). “Distinguishing the Factors Influencing College Students' Choice of Major”, College Student Journal, v42(2), pp
Paper ID #19483The Inequality of LGBTQ Students in U.S. Engineering Education: Reporton a Study of Eight Engineering ProgramsDr. Erin A. Cech, University of Michigan Dr. Erin Cech is an assistant professor of sociology at the University of Michigan. Before coming to Michigan in 2016, she was a Postdoctoral Fellow at the Clayman Institute for Gender Research at Stan- ford University and was on faculty at Rice University. She earned her Ph.D. in Sociology in 2011 from the University of California, San Diego and undergraduate degrees in Electrical Engineering and So- ciology from Montana State University. Cech’s research
also beused in the National Association of Colleges and Employers (NACE) Career Readiness programoffered on our campus as part of career preparation education for engineering students [21].References 1. Ledbetter, S. (October 13, 2015). America’s Top Fears. Retrieved from https://blogs.chapman.edu/wilkinson/2015/10/13/americas-top-fears-2015/2. Nixon, S., Brooman, S., Murphy, B., & Fearon, D. (2016). Clarity, consistency and communication: using enhanced dialogue to create a course-based feedback strategy. Assessment & Evaluation in Higher Education, 1-11.3. Boyce, J. S., Alber-Morgan, S. R., & Riley, J. G. (2007). Fearless public speaking: Oral presentation activities for the elementary classroom. Childhood
., Lee, Y.-G., & Hill, L. B. (2016). Building a better future STEM faculty: How doctoral teaching programs can improve undergraduate education. Madison, WI: Wisconsin Center for Education Research, University of Wisconsin-Madison.9. Adams, K. A. (2002). What colleges and universities want in new faculty: Preparing future faculty occasional paper series. Washington, D.C: Association of American Colleges and Universities. Retrieved from http://www.aacu.org/pff/pdfs/PFF_Adams.PDF10. Austin, A. E., Campa III, H., Pfund, C., Gillian-Daniel, D. L., Mathieu, R., & Stoddart, J. (2009). Preparing STEM doctoral students for future faculty careers. New Directions for Teaching and Learning, Spring(117), 83
: completely prepared, veryprepared, moderately prepared, slightly prepared, not at all prepared). a) Math b) Science c) Technology (use of computers and software packages) d) Engineering (using math and science to solve real-world problems) e) Graphical tools (use of programs such as CAD) f) Graphical communication (understanding engineering drawings and 2-D representations of 3-D objects) g) Writing h) Speaking22. Had you completed a calculus class (not pre-calc) prior to starting coursework in the College of Engineering (yes or no)23. How confident are you about your time-management skills? (Completely confident, very confident, moderately confident, slightly
-269.9. White, H. D.; Griffith, B. C., Author cocitation: A literature measure of intellectualstructure. Journal of the American Society for Information Science 1981, 32 (3), 163-171.10. Small, H., Visualizing science by citation mapping. Journal of the American Society forInformation Science 1999, 50 (9), 799-813.11. Morillo, F.; Bordons, M.; Gómez, I., An approach to interdisciplinarity throughbibliometric indicators. Scientometrics 2001, 51 (1), 203-222.12. He, Q., Knowledge Discovery Through Co-Word Analysis. Library Trends 1999, 48 (1),133-159.13. Peters, H. P. F.; Van Raan, A. F. J., Structuring scientific activities by co-author analysis.Scientometrics 1991, 20 (1), 235-255.14. Borgman, C. L.; Furner, J
. (2012). Design Heuristics in Engineering Concept Generation. Journal ofEngineering Education. 101:4, pp. 601-629.29. Florida, R. (2004). America’s Looming Creativity Crisis. Harvard Business Review, Oct. 2014, pp 1- 9.30. Yilmaz, S., Jablokow, K., Daly, S., Silk, E. (2014). Investigating Impacts on the Ideation Flexibility ofEngineers, 121st ASEE Annual Conference and Exposition, Indianapolis, IN., June 15-18, 2014.31. LaDuca, B., Ausdenmoore, A., Katz-Buonconintro, J., Hallinan, K. P. (2017). An Arts-Based InstructionalModel for Student Creativity in Engineering Design. To appear in J. of Engineering Pedagogy.32. I-ACT Website www.udayton.edu/iact/index.php accessed Jan 20, 2017.
No. 1, 9-20 http://www.lifescied.org/content/6/1/9.full.pdf+html (3) Tyler E. Mains, Joseph Cofrancesco Jr. MD, MPH, FACP, Stephen M. Milner, MB. BS. DSc, FACS, Nina G. Shah MS, Harry Goldberg, PhD. (2015) “Do questions help? The Impact of Audience Response Systems on Medical Student Learning”. Postgraduate Medical Journal. (4) Michaelsen, L.K., Watson, W.E., Cragin, J.P., and Fink, L.D. (1982) “Team-based learning: A potential solution to the problems of large classes”. Exchange: The Organizational Behavior Teaching Journal 7(4): 18-33 (5) Richardson Lab, Kinemage http://kinemage.biochem.duke.edu/ (6) B. Alberts, D. Bray, A. Johnson, J. Lewis, M. Raff, K. Roberts, P. Walter (2009) Essential
beenstudied; and (3) to draw conclusions based on this information to describe theunderrepresentation of Latinxs in engineering and why it continues to exist. MethodsThe databases ERIC and Google Scholar were used to locate preliminary sources. Combinationsof the following search terms were used: “Latinas/os/xs,” “Hispanic,” “engineering,” and“STEM.” Several articles were identified as potential sources of information, but only journalarticles that met the following inclusion criteria were considered: (a) published after the year2005; (b) population of interest included Latinxs; (c) focused on engineering or includedengineering within the larger STEM literature; and (d) studied K-20 education. These
-753. doi:10.1007/s10956- 011-9362-8Creswell, J. W. (2013). Qualitative inquiry & research design: Choosing among five approaches (3rd ed.). Thousand Oaks: CA: Sage Publications, Inc.Honken, N., & Ralston, P. A. S. (2013). Freshman engineering retention: A holistic look. Journal of STEM Education: Innovations and Research, 14, 29-37.Inda, M., Rodríguez, C., & Peña, J. V. (2013). Gender differences in applying social cognitive career theory in engineering students. Journal of Vocational Behavior, 83(3), 346-355.Jones, B. D., Paretti, M. C., Hein, S. F., & Knott, T. W. (2010). An analysis of motivation constructs with first-year engineering students: relationships among expectancies, values
) failed (Fig-ure 3a). Four of the five Researchers passed the course; each successful Researcher went at anoverall steady progress despite reaching a multi-week plateau during the semester. We hypothesizethat Researchers used their inclination to allocate resources and their desire to verify the practical-ity of decisions to establish clear and reasonable goals for their own course progress. They appearto have broken the course into attainable weekly progress goals. Since gathering information is theinitial action for Researchers, the specific information provided by the IKC may have helped themprioritize and allocate the resources available to them. (a) Researcher 1 (b) Researcher 2 (c) Researcher 3
Project management / Time managementProject 1: Tensile TestThree developed testers for studying the axial load/displacement behavior of wire samples areshown in Fig. 3. Two common features amongst them are the means of measurement of thedisplacement and the axial load. However, these features were implemented using three distinctinnovative designs as described in the Fig. 3. (a) (b) (c) Figure 3: Testers for determining the modulus of elasticity of wire samples using a digital balance as the load cell (a), a long wire for augmented displacement measurement (b), a rotational arm for small samples (c)The
. (2011). Engineering Education Discourses on Underrepresentation: Why Problematization Matters. International Journal of Engineering Education, 27(5), 1117. 4. Lewis, B. F. (2003). A critique of literature on the underrepresentation of African Americans in science: Directions for future research. Journal of Women and Minorities in Science and Engineering, 9(3&4). 5. Moore, J. L. (2006). A qualitative investigation of African American males' career trajectory in engineering: Implications for teachers, school counselors, and parents. Teachers College Record, 108(2), 246. 6. May, G. S., & Chubin, D. E. (2003). A retrospective on undergraduate engineering success for underrepresented minority
curriculum and resources for the materials science course in this study were designed so asto: A. Align with a statewide course descriptor6 for a 4-unit (3-unit lecture and 1-unit lab) introductory materials science course, which is required as part of a statewide 2-year transfer model curriculum for students in Aerospace, Civil, Mechanical, and Manufacturing Engineering.7 B. Allow flexibility for a variety of delivery formats (e.g., flipped, online, emporium, etc.). C. Achieve the thirteen objectives for engineering educational laboratories defined by the ABET/Sloan Foundation effort.8 D. Require some minimum number of on-campus experiments in a traditional materials testing lab that would satisfy objectives A and C
" Procedural Knowledge Communicative Interactions Teacher RTOP Journal SEC Avg SEC RTOP Journal SEC Avg SEC Avg Avg Mod/Con Avg Avg Mod/Con A 1 2 1.09 0 1.8 2.25 1.13 1 B 0.8 0.8 1.32 2 2.2 2.2 1.38 1 C 0.4 2 1.23 0 0.8 2 0.88 0 D 0.8 2.25 1.41 1 2 2.63 1.13 1 E 2
Engineers Talk about the Importance of Talk: A Report on the Role of Oral Communication in the Workplace.” Communication Education 52 (1), 1-16 (2003).3. M. Miceli, “Say What?: The Importance of Effective Communication in Engineering.” JOM 63, no. 12 (December 10, 2011): 25.4. B. L. Shwom, K. P. Keller, “The Great Man Has Spoken. Now What Do I Do?” Communication Insight 1 (1), 3–6 (2003).5. E. R. Tufte, The Cognitive Style of Powerpoint: Pitching Out Corrupts Within, p. 9-14. Cheshire: Graphics Press, 2006.6. M. Alley, The Craft of Scientific Presentations: Critical Steps to Succeed and Critical Errors to Avoid, New York: Springer Science, 2013.7. J. Tapper and W. E. Cole, “EET Graduate Survey Results.” Proceedings of the 1998 ASEE
Paper ID #19088Initial steps toward a study on the effectiveness of multimedia learning mod-ules in introductory physics courses for engineersProf. Douglas Scott Goodman, Wentworth Institute of TechnologyDr. Franz J Rueckert, Wentworth Institute of Technology Dr. Rueckert is an experimental physicist specializing in condensed matter. His research interests include magnetic and electronic properties of perovskite materials and, more recently, novel approaches to physics education.Dr. James O’Brien, Wentworth Institute of Technology James G. O’Brien is currently Chair of the department of Sciences and Associate professor of
. Dynamic memory allocationThere would also be a multi-week final group project. Unit testingand separate compilation would be stressed in the group labs and Structuresfinal group project. Projects would rotate from a number of areas Linked listsincluding instrumentation, networking, security, image Graphs and applicationsprocessing, and others. Sample networking problems could be: a)implement a small webserver, (b) implement a message passing Dynamic data structuresover network, or c) implement a distributed traffic-light control Abstract data typessystem. A sample
https://wallethub.com/edu/best-worst-metro-areas-for-stem-professionals/9200/# Accessed March 25, 2017.2. Campbell, B., Robb, S., Abbott, S., “Impact of a 5-Week Collegiate Level Residential STEM Summer Program on Secondary School Students (research to practice),” Proceedings of the 2014 ASEE Annual Conference & Exposition, Indianapolis, IN, June 15 - 24, 2014.3. Scutt, H. I., & Gilmartin, S. K., & Sheppard, S., & Brunhaver, S. R. (2013, June), Research-Informed Practices for Inclusive Science, Technology, Engineering, and Math (STEM) Classrooms: Strategies for Educators to Close the Gender Gap Paper presented at 2013 ASEE Annual Conference & Exposition, Atlanta, Georgia. https
. Southern Region Education Board, www.sreb.org, September 2007. 3. A. Phelps, E. Camburn, and J. Durham. Engineering the Math Performance Gap. University of Wisconsin-Madison. The Center on Education and Work. Research Brief, June 2009. 4. R.H. Tai. (2012). An Examination of Research Literature on PLTW. University of Virginia. Publication by PLTW. http://www.cew.wisc.edu/docs/resource_collections/CEW_PTLW_Brief_UWMadison.pdf 5. B. Wentz and C. Raebel, Evaluation of High School Pre-Engineering Curricula on Freshman Architectural Engineering Student Performance, AEI Conference, Milwaukee, WI, March 24-27, 2015. 6. R.J. Stanley and S. Baur, “Assessing the impact of Project Lead the Way high school Pre-engineering
Paper ID #19502Exploring the Effects of a Visual Thinking Strategies Workshop on the Re-flective Thinking of Undergraduate Engineering StudentsDr. Ryan C. Campbell, Texas Tech University Having recently completed his Ph.D. through the University of Washington’s interdisciplinary Individ- ual Ph.D. Program (see bit.ly/uwiphd), Ryan is now a Postdoctoral Research Associate at Texas Tech University. He currently facilitates an interdisciplinary project entitled ”Developing Reflective Engineers through Artful Methods.” His scholarly interests include both teaching and research in engineering educa- tion, art in engineering