definitions and descriptions, an alternative workingdefinition for troubleshooting would be a type of problem solving that analyzes a faulty systemto identify the fault(s) in the system and then pursue the appropriate procedures to correct thefault(s) in a timely manner.Engineering is one of the domains where well-developed troubleshooting skills can frequentlymake a substantial impact, e.g., when an engineer finds and fixes a problem that has shut down amass transit line. Significantly, it has been observed that the engineers entering industry havepoorly developed troubleshooting skills because they gain little hands-on experience and theyunderuse test equipment in the typical U.S. undergraduate engineering curriculum [5]. Morerecently (in 2018
, and across questions posed by students and instructors, individually. Thehigh frequency of generative design questions is particularly meaningful when compared to twoanalogous studies of peer critiques within a conventional face-to-face setting, in which low-levelquestions were more prevalent. These findings overall support written, asynchronous designcritiques as a useful mode for enhancing exchanges of feedback between student peers.References[1] M. Mandala, C. Schunn, S. Dow, M. Goldberg, J. Pearlman, W. Clark, and I. Mena, “Impact of collaborative team review on the quality of feedback in engineering design projects”, International Journal of Engineering Education, vol. 34, no. 4., pp. 1299-1313, 2018.[2] B. Lawson
Oxford, UK. Professor Zilouchian is senior member of several professional societies including Tau Beta Pi, Sigma Xi, Phi Kappa Phi, ASEE and IEEE.Dr. Nancy Romance , Florida Atlantic University Dr. Romance is Professor of Science/Engineering Education and Director of FAU’s STEM Collaborative. She is currently PI on the Title III Hispanic Serving Institution STEM Articulation grant and Co-PI on the College of Engineering and Computer Science’s NSF S STEM grant guiding engineering majors toward completion of a MS degree in Artificial Intelligence. Her work is focused extensively on science and engi- neering activities to promote enhanced classroom engagement of students and increased discipline-based educational
Paper ID #29057The Design and Impact of a Combined Makerspace, Wet Lab, andInstructional Design Studio for Chemical Engineering CurriculumProf. Anthony Butterfield, University of Utah Anthony Butterfield is an Associate Professor (Lecturer) in the Chemical Engineering Department of the University of Utah. He received his B. S. and Ph. D. from the University of Utah and a M. S. from the University of California, San Diego. His teaching responsibilities include the senior unit operations laboratory, capstone laboratory, first year design laboratory, and the introduction to chemical engineering. His research interests focus
. Grinder, and R. J. Ross, “A paradigm shift! The internet, the web, browsers, Java, and the future of computer science education,” SIGCSE Bull. (Association Comput. Mach. Spec. Interes. Gr. Comput. Sci. Educ., 1998.[3] J. MIRO-JULIA, “Dangers of the Paradigm Shift.”[4] D. Veisz, E. Z. Namouz, S. Joshi, and J. D. Summers, “Computer-aided design versus sketching: An exploratory case study,” Artif. Intell. Eng. Des. Anal. Manuf. AIEDAM, 2012.[5] M. Karima, K. Sadhal, and T. McNeil, “From paper drawings to computer-aided design,” IEEE Comput. Graph. Appl., no. 2, pp. 27–39, 1985.[6] M. Katajamaki, “Knowledge-Based CAD,” Expert Syst. Appl., vol. 3, no. 2, pp. 277–287, 1991.[7] A. K. Goel, S. Vattam, B
unique to Duke?," Duke Chronicle, 24 October 2017. [Online]. Available: https://www.dukechronicle.com/article/2017/10/with-large-classes-and-waitlists-compsci- feels-growing-pains-but-are-those-pains-unique-to-duke. [Accessed 1 January 2020].[5] G. V. Glass and M. L. Smith, "Meta-analysis of research on class size and achievement," Educational evaluation and policy analysis, vol. 1, no. 1, pp. 2-16, 1979.[6] L. E. Winslow, "Programming pedagogy - a psychological overview," SIGCSE Bull., p. 17–22, 1996.[7] N. Bosch, S. D’Mello and C. Mills, "What emotions do novices experience during their first computer programming learning session?," in International Conference on Artificial Intelligence in Education, 2013.[8] E. J. Kim and K
Generation Science Standards: For States, By States. Washington, DC: National Academies Press, 2013.[3] President’s Council of Advisors on Science and Technology, Report to the President: Prepare and Inspire: K-12 Education in Science, Technology, Engineering, and Mathematics (STEM) for America’s Future. Washington, DC: Executive Office of the President, 2010.[4] S. Brophy, S. Klein, M. Portsmore, and C. Rogers, “Advancing engineering education in P- 12 classrooms,” Journal of Engineering Education, vol. 97, pp. 369-387, July 2008.[5] E. A. Ring, E. A. Dare, E. A. Crotty, and G. H. Roehrig, “The evolution of teacher conceptions of STEM education throughout an intensive professional development
, 45-70.Beddoes, K., Jesiek, B.K., and Borrego, M. (2011). Fostering international engineering educationresearch collaborations: On the need to think beyond the workshop format, Australian Journal ofEngineering Education, 17, 2, 39-54.Biancani, S. Dahlander, L., McFarland, D. A. and Smith, S. (2018). Superstars in the making?The broad effects of interdisciplinary centers, Research Policy, 47, 3, 543-557.Boardman, P.C. and Corley, E. (2008). University research centers and the composition ofresearch collaborations, Research Policy, 37, 5, 900-913.Borrego, M. (2006). Discipline-based views of collaboration in engineering education researchpartnerships, Frontiers in Education Conference, San Diego, CA.Borrego, M, and Newswander L.K. (2008
: 1. Problem identification: ability to articulate problem/s based on information provided in the scenario 2. Information needs: ability to identify additional information needed to address the problem/s identified 3. Stakeholder awareness: ability to identify and include groups needed for decision- making 4. Goals: ability to identify short- and long-term goals towards addressing the problem/s identified 5. Unintended consequences: ability to identify possible limitations and unintended consequences of a potential solution 6. Implementation challenges: ability to identify expected barriers to their crafted response to the problem scenario 7. Alignment: degree to which the respondent
. noted in their work, these process based, cognitive theory approaches were derived either adhoc or through controlled experiments that use simple tasks. The suitability of these models fordesign problems that are much more complex has never been investigated. This lack ofinvestigation and difficulties met in process based measurements of ideation effectiveness ledShah et al. to consider outcome based metrics for their study of engineering design [7]. As such,Shah et al. developed a framework to measure ideation effectiveness in simple and complexdesign situations.Shah et al.’s framework includes metrics that measure the effectiveness of formal ideageneration methods. The framework addresses that engineering design must be novel – unusualand
properties of polysulfones. Macromolecules, 25:3434, 1992. 5. Aitken, C.L., Mohanty, D.K. and Paul, D.R. Gas trans- port properties of poly(arlether bissulfones) and poly(arylether bisketones). J. Polym. Sci. Polym. Phys. Ed., 31:983-989, 1993. 6. Nichol, C.A., and Paul, D.R. Gas transport properties of polysulfones based on dihydroxynaphthalene isomers. J. Polym. Sci. Polym. Phys. Ed., 31:1061-1065, 1993. 7. Nichol, C.A., Zhang, F., and McGinity, J.W. Extrusion of acrylic films. Pharm. Res., 13(5):804-808,1996. 8. Nichol, C.A., Yang, D., Humphrey, W., Ilgan, S., Tansey, W., Higuchi, T., Zareneyrizi, F., Wallace, S., and Podoloff, D., Biodistribution and Imaging of Polyethyleneimine, a gene delivery agent. Drug Delivery
crucial role in advancing this project. 8. References[1] S. Farrell, E. A. Cech, R. Chavela, A. Minerick, and T. J. Waidzunas, "ASEE Safe Zone Workshops and Virtual Community of Practice to Promote LGBTQ Equality in Engineering," in Proceedings of the American Society of Engineering Annual Conference, New Orleans, LA, 2016.[2] President's Council of Advisors on Science and Technology, "Engage to excel: producing one million additional college graduates with degrees in science, technology, engineering and mathematics."[3] E. T. Pascarella and P. T. Terenzini, How college affects students: A third decade of research. vol. 2. San Francisco: Josey Bass, 2005.[4] E. T. Pascarella and P. T. Terenzini
develop a new solution, and patterns of fixationmay simply be redirected to a few new ideas rather than the initial concepts.References: 1. Sheppard, S., Macatangay, K., Colby, A., & Sullivan, W. (2009). Educating engineers: Designing for the future of the field. San Francisco, CA: Jossey-Bass. 2. Duderstadt, J.J. (2008) Engineering for a changing world: A roadmap to the future of engineering practice, research, and education. The Millenium Project: Ann Arbor, MI. 3. National Academy of Engineering (NAE). (2016). Grand challenges for engineering. Retrieved February 2, 2016 from http://www.engineeringchallenges.org/cms/challenges.aspx. 4. Daly, S.R., et al. (2012). Design heuristics in engineering concept
. 2nd 1st Peer Peer Num SRM SRM Rating Rating ber of Model Model PRO PRO team Rater Target Psychologica BLEM BLEM Mem Varianc Varianc l Safety =< Satisfac Conflict > Cohesiven TEAM TEAMS bers e >70% e 4.7 tion < 4.0 1.6 ess < 4.0 S 1 5 10 30 5 4.4 1.4 4.18 2 3 No SRM No SRM 5.62
Work? A Review of the Research,” Journal ofEngineering Education, July 2004.[4] S. Freeman, S. L. Eddy, M. McDonough, M. K. Smith, N. Okoroafor, H. Jordt, and M. P.Wenderoth, “Active learning increases student performance in science, engineering, andmathematics,” Proceedings of the National Academy of Sciences of the United States of America,vol. 111, no. 23, June 10, 2014.[5] K. A. Smith, S. D. Sheppard, D. W. Johnson, and R. T. Johnson, “Pedagogies ofEngagement: Classroom-Based Practices,” Journal of Engineering Education, January 2005.[6] M. D. Svinicki and W. J. McKeachie, McKeachie’s Teaching Tips, 14th Ed. Belmont, CA,Wadsworth, Cengage Learning, 2014.[7] S. A. Ambrose, M. W. Bridges, M. DiPietro, M. C. Lovett, and M. K. Norman
, develop a multidisciplinary research groupwith exceptional advising, mentor, and tutor, as well as provide directions and skills for asuccessful life after graduation, either in graduate schools or professional work. These goalsmatch the NSF S-STEM program goals of (1) Improve Educational Opportunities for Students,(2) Increase Retention of Students to Degree Achievement, (3) Improved Student SupportPrograms at Institutions of Higher Education and (4) Increase the number of well-educated andskilled employees in technical areas of national need.The project objectives were to (a) Recruit, select and award scholarships for academicallytalented and financially needy students starting fall 2012. Preference was given to women,students of color and
. Econ. Can. d’économique 45, 1188–1219 (2012). 6. Briskin, L. & Coulter, R. P. Introduction Feminist Pedagogy: Challenging the normative. Can. J.Educ. 17, 247–263 (1992). 7. Cherubini, L., Hodson, J., Manley-Casimir, M. & Muir, C. ’ Closing the Gap“ at the Peril ofWidening the Void: Implications of the Ontario Ministry of Education”s policy for Aboriginal education. Can. J.Educ. 33, 329–356 (2010). 8. Gaskell, J. Gender matters from school to work. Resour. Fem. Res. 23, 49–50 (1994). 9. Pomerantz, S., Raby, R. & Stefanik, A. Girls Run the World? Caught between Sexism andPostfeminism in School. Gend. Soc. 27, 185–207 (2013
. The class meetings are devoted to answering questions (that students mayhave based on their viewing of the corresponding video lecture(s)) and problem solving activitiesincluding, especially, in cooperative learning groups.A number of authors 7,8,9,10 who have used the flipped approach in their courses have reported onboth the reaction of the students to the approach and, in some cases, the performance of the studentsin sections of courses that used the flipped approach compared to that of students in regular (non-flipped) sections of the same courses. Although students seem to enjoy the flipped approach,their performance seems about the same as, or in some cases even worse than, that of studentsin the regular sections. Thus Thomas and
; Technology Theresa M. Swift is an Assistant Teaching Professor in the Department of Electrical and Computer En- gineering at Missouri University of Science and Technology. She teaches the sophomore circuits and introduction to electronic devices courses for ECE majors as well as a service course in circuits for other engineering disciplines on campus. She is a member of both the ECE curriculum committee and the curriculum committee for all engineering disciplines on the Missouri S&T campus.Dr. Amardeep Kaur, Missouri University of Science and Technology, Rolla MO Amardeep Kaur is an Assistant Teaching Professor with the department of Electrical and Computer En- gineering at Missouri University of Science and
integration in college as it can be correlatedwith commitment to the institution and persistence. Thomas19 found that “students with a greaterproportion of ties outside their subgroup perform better academically and are more likely topersist. Second, similar benefits accrue to those students who develop ties with other studentswho themselves have broader ties.”Social Network AnalysisSocial Network Analysis (SNA) has been used since the 1930s in the social and behavioralsciences. Some of the major goals of SNA are to “discern fundamental structure(s) of networksin ways that (1) allow us to know the structure of a network and (2) facilitate our understandingof network phenomena.”4 Social networks can be generally defined as a group of inter-connected
, technology, engineering and mathematics (STEM) education and issues of race/ethnicity, gender and disability since the mid 1970's. Her BS, from LeMoyne College is in Mathematics, her MS, from Syracuse University, is in Instructional Technology and her PhD, also from Syracuse University, is in Teacher Education. Dr. Campbell, formerly a professor of research, measurement and statistics at Georgia State University, has authored more than 100 publications including co-authoring Engagement, Capacity and Continuity: A Trilogy for Student Success and Upping the Numbers: Using Research-Based Decision Making to Increase Diversity in the Quantitative Sciences with Eric
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threshold, piecewise linear, sigmoid, tansigmoid and Gaussian are usedfor activation.3.2. Control Vibration control techniques for flexible structures are generally classified into twocategories: passive and active control 20. Passive control utilizes the absorption property ofmatter and thus is realized by a fixed change in the physical parameters of the structure, forexample adding viscoelastic material to increase the damping properties of the flexiblemanipulator 21, 22, 23. Active control utilizes the principle of wave interference. This is realizedby artificially generating anti-source(s) (actuator(s) to destructively interfere with the unwanteddisturbances and thus result in reduction in the level of vibration. Active control of
visual and animation tools. These tools will be accessed through The University ofTexas at Arlington (UTA)’s Web site for use in classrooms globally. The three major steps inachieving this research goal were: (1) accepting data from the user; (2) running a pre-definedexecutable on the input data, which produces “Web-friendly” output file(s); and (3) redirectingthe browser to the output file. This study was successfully completed by using ActiveX controlsthat accept data from the user, transfer and run the FORTRAN executable files, redirect thebrowser to the result files and perform checks before displaying resulting diagrams or tables. Theuniqueness of these tools is that the executables are transferred to the client machine and run onit
orientation toward cultural differences 35 Learning self-efficacy instrument: confidence in self-directed learning25, 36, 37 Miville-Guzman Universality-Diversity Scale (MGUDS-S) survey – cultural competency38, 39 Need for Cognition Scale: self-directed learning measure40 Pittsburg Freshman Engineering Attitudes Survey (PFEAS) 41, 42 Situational Intrinsic Motivation Scale: base motivation measure 43 Student Self-Determination Scale (SDSS) 44 Student Thinking & Interacting Survey 27, 28Bland notes that quantitative data such as the IDI should be linked with qualitative information,because the IDI can show that movement is taking place along the
topics and “new engineer” workforce skills—that we are seeking toprovide for students through the Build IT curriculum. Page 14.215.14AcknowledgementThis material is based upon work supported by the National Science Foundation under grantnumber ESI-0624709. Any opinions, findings, and conclusions or recommendations expressed inthis material are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.Bibliography1 Jonassen, D. (2000). Computers as mindtools for schools. Engaging critical thinking (2nd ed.). Saddle River, NJ:Prentice Hall.2 Chambers, J. & Carbonaro, M. (2003). Designing, Developing, and
enhance U.S. competitiveness.Using the findings of the 2005 Task Force panel, 1,2,3 which investigated the commonality offaculty reward systems in other professions such as law, this paper suggests parallel criteria forprofessionally oriented faculty reward systems in engineering and technology education thatcomplement scientific research and that better support the professional scholarship, teaching,and engagement functions of engineering practice for technology development & innovation.2. Professional Education for Engineers –The New Challenge for Industrial InnovationWhile the U.S. system of graduate education in Science and Engineering (S&E) continues to setthe world standard and sustains the preeminence of the U.S. scientific
model rocket manufactured by QuestAerospacet5. A diagram of the rocket is shown in Appendix A at the end of this paper. Thisrocket was chosen because of its unique payload section which is separate from the parachutestowing area. In model rocketry the parachute is deployed by the, “Ejection charge” that isproduced by the rocket engine after the thrust charge is depleted. The ejection charge effectivelyforces the rocket stages to separate and propels the parachute(s) out of the storage chamber. Byhaving a separate payload section, the sensors can be shielded from the violent pressure effectsof the ejection charge.The diameter and length of the combined payload and hollow nose cone sections placeconstraints on the physical design. A two-sided
the literature about thechallenges of advancing innovations from the interest or awareness phase into actualimplementation. When developing professional development programs, people should considerthis challenge. Further, they should include dedicated and structured time for programparticipants to discuss about the particular innovation that the program is focused on, in order tohelp facilitate change of practices.AcknowledgmentThe authors gratefully acknowledge support of this work by the National Science Foundationunder Grant No. 1524527.References 1. Felder, R. M., & Brent, R. (1996). Navigating the bumpy road to student-centered instruction. College teaching, 44(2), 43-47. 2. Freeman, S., Eddy, S. L., McDonough, M
, Stanhope, & Wiebe, 2015).IV. Selecting and Designing Instruments for AssessmentSelection and design of instruments for assessment was directly aligned with research questionsand assessment objectives. The primary research questions examining the curriculum's impacton early elementary through middle school students specifically in areas of student (1)application of engineering design as an engineering approach in STEM education and (2)knowledge of and attitudes towards STEM- related fields, careers, and educational opportunities.To answer these questions, the team will utilize mixed methods in a pre-post with comparisongroup framework. The research instruments being utilized are (1) the are the Student AttitudeToward STEM (S-STEM) Survey