semesters. The work is designed to test two hypotheses: 1. A long-term design project that integrates knowledge from multiple courses strengthens student knowledge retention. 2. A large-scale design project requiring tools from many courses improves student problem-solving and design skills.By integrating five semesters of the mechanical engineering curriculum into a cohesive whole,this project has the potential to transform the way undergraduate education is delivered. Beforeand after testing is being conducted to assess: a) Change in retention between courses and b)Change in student problem-solving and design skills.Students at Rowan University have built almost all of the “hardware” for the HPT (air engine,planetary gearset
classes, a simulationgame was played in class. This idea stemmed from feedback from students whotook this class in the past. They wanted an opportunity to apply the knowledgegained from class to real life situation in a more fun way than doing a classproject. The simulation was a better way to have students acquire learning byapplying than by doing a group project. With the simulation game, the entire classhad an uniform experience and the faculty could control the concepts that studentsneed to be able to use. In a group project, this was not always possible becausewith the real world problem, the group and the faculty are not always sure of allthe concepts that will manifest in the project. B. Changes in CommunicationCommunication is key in
Paper ID #10076Immersive Community Engagement ExperienceDr. Carla B. Zoltowski, Purdue University, West Lafayette Carla B. Zoltowski, Ph.D., is Co-Director of the EPICS Program at Purdue University. She received her B.S. and M.S. in electrical engineering and Ph.D. in engineering education, all from Purdue University. She has served as a lecturer in Purdue’s School of Electrical and Computer Engineering. Dr. Zoltowski’s academic and research interests include human-centered design learning and assessment, service-learning, ethical reasoning development and assessment, leadership, and assistive technology.Ms. Antonette T
. R. A. Streveler, B. M. Olds, R. L. Miller and M. A. Nelson. Using a delphi study to identify the mostdifficult concepts for students to master in thermal and transport science. in American Society for EngineeringEducation Annual Conference & Exposition. 2003. Nashville, TN.2. B. M. Olds, R. A. Streveler, R. L. Miller and M. A. Nelson. Preliminary results from the development of aconcept inventory in thermal and transport science. in American Society of Engineering Education AnnualConference & Exposition. 2004. Salt Lake City, Utah.3. M. J. Cochran and P. R. L. Heron, Development and assessment of research-based tutorials on heat
thisword from German to English, translators must either decide to: (a) take the word directly as aloanword or (b) write its meaning periphrastically to attempt to grasp its sense structure to thebest of English’s extent. Likewise, when translating CATS to CATS-S, this also became anoticeable issue upon inspection. Consider questions one through three of CATS-S where “is tobe drawn” from CATS is phrased as “se dibujará” in Spanish, which translates to “will bedrawn” (see Figure 1). Although not dramatically, the imperative sense of “is to be drawn” islost, which could bring momentary confusion to a student undergoing the testing process.There were also inconsistencies with regards to the translation of terminology from CATS toCATS-S. Some words
Division of ASEE (1998, 2005, and 2010), and the Brigadier General Roland E. Thomas Award for outstanding contribution to cadet education (both 1992 and 1993) at the U.S. Air Force Academy. He is an active ABET evaluator and an NCEES PE exam committee member.Dr. Thad B. Welch P.E., Boise State University Dr. Thad B. Welch, P.E., Boise State University Thad B. Welch, Ph.D., P.E. received the B.E.E., M.S.E.E., E.E., and Ph.D. degrees from the Georgia Institute of Technology, Naval Postgraduate School, Naval Postgraduate School, and the University of Colorado in 1979, 1989, 1989, and 1997, respectively. He was commissioned in the U.S. Navy in 1979 and has been assigned to three submarines and a submarine repair tender
Path A Unit Level Influences Adjustment For example: • Faculty • Discipline • Student characteristics Evaluate & Adjust Environment Path B Path C Modify Perceptions & Interpretations of Educational EffectivenessThe academic plan model is also informed by two studies48, 49 that clarified the components thatToombs and Tierney identified. These studies defined the content dimension as including thosethings that faculty members bring to the table when they plan a course: their backgroundcharacteristics and experiences, their views of their
of Education in Curriculum and Instruction (2009) and a Bachelor’s of Science in Mechanical Engineering (2005). He has received the UA Graduate Access Fellowship, the Mary & Maude Miller Scholarship, and the SRP Learning Grant. Beau’s research interest lies in understanding how students can best learn and teachers can best teach engineering in the pre-college setting.Prof. James C. Baygents, University of ArizonaDr. Jeffrey B. Goldberg, University of Arizona Dr. Jeff Goldberg is Dean, College of Engineering, and Professor in Systems and Industrial Engineering at Arizona. He was employed at Vector Research and Bell Laboratories. He is currently a Principal of Silver Oak Research Inc. which specializes in deployment
Practitioners.” Journal of Engineering Education, 96(4).Atman, C. J., Kilgore, D., & McKenna, A. (2008) Characterizing design learning: A mixed-methods study of engineering designers' use of language. Journal of Engineering Education, July 2008, 309-326.Aurigemma, J., Chandrasekharan, S., Nersessian, N. J., & Newstetter, W. (2013). Turning experiments into objects: The cognitive processes involved in the design of a lab-on-a-chip device. Journal of Engineering Education, 102(1), 117-140.Barton, A. C. (2003). Teaching science for social justice. New York: Teachers College Press.Bloome, D., Carter, S. P., Christian, B. M., Otto, S., & Shuart-Faris, N. (2005). Discourse analysis and the study of classroom
markedly different. Of particular note are questions where an incorrectanswer is chosen with more frequency than the expected answer, even after instruction.Table 2: Percentage of students choosing a particular answer for each examination item. The whitecolumns on the left for each question refer to TUG-R and the grey shaded columns on the right foreach question are adapted from Beichner4 for the TUG-K. The correct answer is indicated inboldface.Question 1 2 3 4 5 6 7 A 11 41 0 2 22 8 6 2 2 3 22 45 28 31 B 28 16 10 10 0 0 23 14 4 2 46 25 24 20 C 1 4 15 24 27 20 32 23 52 73 5 6 12 10 D 28 22 4 2 44 62 25
betweenleadership and management, understand and develop ethical principles of entrepreneurialleadership, and recognize various entrepreneurial strategies and apply them as appropriate.MethodsThis course provides an analytical framework to improve understanding of individual and sharedownership models in entrepreneurial organizations, and the way alternative ownership decisionsaffect organizational dynamics. It also looks at the mechanisms that entrepreneurs can use tocreate specific ownership structures and organizational cultures.This course is a half-semester long (7 weeks) covering: 1. Introductions a. Present current state of equity for your project b. Introduction to the pluses and minuses of equity dilution for founders c
solve a problem? When afaculty tries something that requires student involvement in class, does it usually work? What ifit doesn’t work? Site B is a smaller public institution in the Southeast designated a Historically Black Collegeor University (HBCU). It is designated as the nation’s leading producer of African-Americanengineers. Focus groups were conducted with 9 participants in 3 sessions. Students were allrecruited through their introductory materials science and engineering course by their instructor.The focus groups were conducted by researchers visiting from another institution. Mostparticipants were underrepresented minorities, consistent with the HBCU mission of Site B.Sample items from the focus group protocol include:Q. How would
; feasibility analysis; evaluation; decision; communication andimplementation) distributed across three major phases (problem scoping; developing alternativesolutions; project realization).10 Because this model is based in engineering textbooks, but has alsobeen used to describe the processes that students and practitioners engage in5, it is considered to beboth prescriptive and descriptive. Building on the work of Atman and her colleagues, as well asother design researchers11-12, in addition to models set out by pre-college educators, the focus ofthis work is to describe a model of engineering design that is (a) developmentally appropriate forchildren, (b) grounded in theory, and (c) grounded in empirical findings. To accomplish this, wehave reviewed
4 1 0 3.25(b) I/O Addressing Format Exam I(c) Addressing Mode2. Understand and ConstructLadder Logic Programs NSF -ATE Labs 2, 3,(a) Instruction Set Relay, Timer, Module 1-10: 70.7 Final Exam 82 82.2 3 4 1 0 3.25 4,6,7Counter, Arithmatic, Exam IIComparison, File Instruction,3. Manipulate data using PLCinstruction sets NSF -ATE(a) Relay, Timer
for only 7% of a graduate student’sgrade. So, it is certainly possible that some who submitted flawed programs and/or reportswould have fared better on the project if a larger proportion of the course grade depended on thisproject. Page 24.889.10Table 1: Results of Graduate Student Projects 2011-2013 (24 Students)Student Modal Analysis Harmonic Response Analysis Report A OK OK OK B OK Results Incorrect OK C OK OK
Paper ID #9757Building technical capital in the technology educationMs. Armineh Noravian, San Francisco State University Armineh Noravian currently works as an adjunct faculty in engineering at San Francisco State University and as an educational research associate. Noravian holds a MS in engineering and MA in applied anthro- pology (cultural) from San Jose State University. She is currently completing her Ed.D. at San Francisco State University. Correspondence regarding this article should be addressed to Armineh Noravian at armineh@mail.sfsu.edu.Dr. Patricia Irvine, San Francisco State University Dr. Irvine is
Paper ID #8631Leadership Development for Engineering Technology Faculty: Becoming anEducational Leader through Knowledge Generation, Application, and Con-tributionMs. Elaine L. Craft, Florence-Darlington Technical College Elaine L. Craft (Florence-Darlington Technical College, Florence, SC) holds a baccalaureate degree in chemical engineering from the University of Mississippi and a MBA from the University of South Car- olina with additional graduate studies in mathematics. Her experience includes working as an engineer in industry as well as teaching and administration at community college and state levels. She has
Paper ID #9202The STEM Center: Creating a Model for Success in Community CollegeSTEM Education ˜Anna Marbella Camacho, The STEM Center, Canada College Anna Camacho joined Ca˜nada College in 2012 in the capacity of Assistant Project Director of Hispanic- Serving Institution-STEM Grant (CalSTEP). In this position, Anna manages all financial aspects of the grant’s $1.1 million yearly budget. In addition to handling fiscal matters, Anna also collaborates in pro- gram implementation & development and new grant proposals. Prior to joining Ca˜nada College, Anna was a Program Officer
2 1 0 A B C D F W Math 4 5 4 0 1 0 Chemistry 2 5 2 2 1 1Figure 1B Online Bridge Student Grade Distribution. Note that 17 of the 23 of the onlineSummer Bridge students enrolled in a math and 16 of the 23 students enrolled in chemistry classtheir first semester. Math includes students who have taken college algebra, precalculus, andcalculus (Math 141,151, and 200). Chemistry includes students who have taken introductorychemistry I, general chemistry II (Chemistry 100, 101
24.122.114. J. E. Froyd, P. C. Wankat, K. A. Smith, Five Major Shifts in 100 Years of Engineering Education, Proc. of the IEEE 100, 1344-1360, 2012.5. Y. Wong, K. Siu, A Model of Creative Design Process for Fostering Creativity of Students in Design Education, Intl. J. Technology & Design Education, 2012. 22(4): p. 437-450.6. N. Anderson, Design Thinking: Employing an Effective Multidisciplinary Pedagogical Framework to Foster Creativity and Innovation in Rural and Remote Education, Australian & International J. Rural Education, 2012. 22(2): p. 43-52.7. B. Blair, Elastic Minds? Is the Interdisciplinary/Multidisciplinary Curriculum Equipping our Students for the Future: A Case Study, Art, Design &
questions of these surveys. b. Workshop Evaluation A final workshop evaluation was performed to get feedback from the participants on the entire workshop. Participants rated the questions on a scale of 1 (disappointing) to 5 (wonderful). Figures 3 and 4 illustrate the results for the individual questions. The majority of the participants rated the questions with a 5. This feedback helps us improve future workshops. Figure 3: Feedback on Questions 1 and 2 Page 24.525.7 Figure 4: Feedback on Questions 3 to 8Two open-ended questions were included at the
] 2x1016 thermal neutronsSteady-State Research 4x1014 fast neutrons ∞ [6] Reactor 5x1014 thermal neutrons Table 2. Comparison of the absolute efficiency for the nuclear pumping source. A B C DPump Source Charged Charged Nuclear Addition Pump Source Particle Particle Energy Energy to Efficiency Energy Energy Produced by Produce ηNP=B/(C+D) Produced Available the Source Neutron (MeV) (MeV
Further examples can be found in the literature6,7. It is clear that each sub-convolution can beseparately processed, followed by a reconstruction stage to provide the final result. Parallelalgorithms can be developed by factorization of the Block Pseudocirculant matrix shown in (9),(12) and (13) into diagonal blocks. The general tensor product formulation for a block diagonalfactorization of the Block Pseudocirculant Matrix is6, y r = R r0 (A r0 ⊗ I N/r )D H (B r0 ⊗ I N/r )x r0 (15) 0 0 r0 0where xr0 and yr0 are the decimated-by-r0 input and output sequences and Ar0 and Br0 are thepost/pre-processing matrices, which are determined by each
. Page 24.178.5Project EvolutionA concise summary of the previously reported4 lessons learned in the first implementation of theproject is provided below in Table 1. For convenience, a letter has been assigned to each of theinsights. In the discussion that follows laying out the modified execution of the project in theSpring of 2013, each change that is detailed will reference the associated lesson that motivatedthe change by listing the corresponding letter afterward in parentheses.Table 1 - Lessons learned from the initial execution of the hydroelectric generator design project. Identifier Lesson Learned / Insight LL-a Narrow the problem definition LL-b Multiply component design options to increase tasks for added
University.3. Allenstein, J.T., Whitfield, C.A., Rhoads, B., Rogers, P., "Examining the Impacts of a Multidisciplinary Engineering Capstone Design Program", Proceedings of the 2013 American Society for Engineering Education Annual Conference, Atlanta, Georgia, June 2013.4. College of Engineering 2012 Outcomes Committee Alumni Survey Report, 27 November 2012. [http://engineering.osu.edu/sites/eng.web.engadmin.ohio-state.edu/files/uploads/2012_alumni_survey_ report_27_nov_0.pdf]5. “Phase I: Synthesizing and Integrating Industry Perspectives”, Transforming Undergraduate Education in Engineering, May 9-10, 2013 NSF/ASEE Workshop Report6. Allenstein, J.T., Whitfield, C.A., Rhoads, B., "From the Industry to the Student: Project
a b c d e f g h i j k Outcomes1SLO 1: Understand fundamentals and principles of Acoustic X X Emission (AE)SLO 2: Gain hands-on experience with Acoustic Emission equipment and accessories X XSLO 3: Become familiar with the advantages and limitations of AE procedures and techniques X XSLO 4: Improve professional communication skills X X X through laboratory reports
,discoveries, and products is crucial for ethical practice. It contends that listening canfacilitate transformational engagement between engineers and the public by a)challenging stereotypes on both sides, b) foregrounding the technical and ethicalrelevance of diverse knowledges, c) exposing relationships of structural inequality thatprivilege technical expertise, and d) replacing such relationships with partnerships oftrust that generate meaningful and effective solutions.Transformational listening lies at the heart of a graduate engineering ethics course atVirginia Tech and future online teaching modules, funded by the National ScienceFoundation (NSF). The goal is for students to experience the cognitive leap thatethnographic research methods can
Page 24.1163.2universities around the world as they are the ones who produce the next generation of businessleaders. Educators such as Bird and Sieber (2005) suggest that there are a number of reasons thatcan justify the teaching ethics to undergraduate (UG) engineering students and argue that thefollowing are the key reasons for necessity of teaching ethics at UG level: (a) many public policydecisions are based on scientific reasoning and findings; (b) engineers are also part of societyand they work to improve the lives of human beings; and (c) there could be huge personalinterest and “conflicting professional interests” in a number of projects in which an engineer isinvolved. Colby and Sullivan (2008), sponsored by the Carnegie Foundation
, thefactors that do not share a letter are significantly different. It is interesting to note thatstudent-centeredness has received the least rating as compared to the other factors. This couldbe due to heavier expectations from faculty by the students. Factor N Mean Grouping Devotion 25 4.5543 A knowledge 25 4.5467 A Discipline 25 4.4649 A Delivery 25 4.4340 A Student Centeredness 25 4.1474 B Table 3: Grouping Information Using Tukey MethodParticipantsWe analyzed the academic performance of students who voted in
Professor of Electrical and Computer Engineering at Temple University specializing in electrical machines and power systems, multimedia tutoring, and control and optimization of dynamic systems. He has been the principle investigator of a project for the development of an intelligent tutoring shell that allows instructors create their own web-based tutoring system. His current research focuses on security of cyber-physical systems based on multiagent framework with applications to the power grid, and the integration of an intelligent virtual laboratory environment in curriculum. He is an associate editor of Dynamics of Continuous, Discrete and Impulsive Systems: Series B, and is a member of IEEE, ASEE, and Sigma Xi