and towards other professional engineers.In their totality, the codes of ethics point to a very different conception or understandingof the natural world then our science provides us with now. We are at once removed frommembership in the natural world as there is a listing of responsibilities of the engineeringprofession to humankind and if it exists at all a sense of responsibility to the naturalworld only in so far as it can provide something for us. We are not products of the earthbut somehow placed on it with a focused plan of action set in place to tame it, control it,and to transform it into what suits are interests.Philosophical Origins of Present Day CodesModern engineering in many respects begin with the Renaissance period in
degree from Iowa State University in 1992.Jeff Willis, Utah State University Jeff Willis Jeff Willis is a Software Engineer developing Mission Planning Software at Hill Air Force Base in Utah. He earned a BS degree in Computer Electronic Technology and a Masters degree in Computer Science from Utah State University. As part of his Master’s Thesis he co-authored two papers on self-configuring, deterministically latent intercommunication architectures for satellite payloads. Page 11.78.1© American Society for Engineering Education, 2006 A New Approach in Microprocessor
10 years as dean of engineering in between, before moving to Baylor in 1998. He is a senior member of IEEE and holds PE registration in Ohio and Texas.Carmen Li Shen, Baylor University Ms. Carmen C. Li Shen is currently a senior engineering student in the Department of Electrical and Computer Engineering at Baylor University, Waco, TX. She is a member of the Eta Kappa Nu Electrical and Computer Engineering national honor society and of Golden Key honor society, and serves as the SWE chapter webmaster and the IEEE Student Branch historian at Baylor. Carmen was born in Ecuador and came to the United States in 2002. She is planning on graduate school after her May 2006 graduation
into core engineering classes to determine whether doing so is feasible, beneficial to students,and appealing to faculty. By collaborating on the assessment efforts of this initiative, we areinvestigating whether and how service learning can benefit students at two very differentuniversities, as well as differences in benefits between the schools.Educational MethodologyBoth UML and MIT received planning grants from NSF to expand significantly the use of S-L intheir engineering programs. UML, which has a relatively long history of using S-L inengineering classes, worked to develop S-L within the entire College of Engineering; MIT, witha much newer S-L initiative, focused on using S-L in the Department of MechanicalEngineering. Tables 2 and 3
., “Decision Making, Planning and Teams,” Computer Mediated Complex Supervisory and Decision Making in Teams, IEE Colloquium, April 3, 1997, pp. 5/1- 5/22.6. Argyris, C., “Single-Loop and Double-Loop Models in Research on Decision Making,” Administrative Science Quarterly, September, 1976, pp. 363-375.7. Argyris, C., Putnam, R., McLain-Smith, D., Action Science, Jossey-Bass, San Francisco, 1990.8. Argyris, C., Schön, D., Theory in Practice: Increasing Professional Effectiveness, Jossey-Bass, San Francisco, 1974.9. Argyris, C., Reasons and Rationalizations, Oxford University Press, Oxford, 2004.10. Putnam, R., “Recipes and Reflective Learning: ‘What would prevent you from saying it that way?’” The
scoring module of thesystem is described in section 2. Section 3 covers the details of the SAR-LAB; MATLAB toolkit. In section 4 development details of the implementation of the tool are presented. Conclusionsderived from the experience of developing and using the tool is presented in section 5. Somepossible enhancements that are planned in the near future are outlined in section 6.1. Audio Front-EndWUW recognition system follows the generic functions depicted in the Figure 1-1. Speech signalcaptured by the microphone is converted into an electrical signal that is digitized prior to beingprocessed by the WUW recognition system. The system also can read digitized raw waveformstored in a file. In either case raw waveform samples are converted
. However, it is stillessential that we continue to build, develop, and share our models of how to support a blendedapproach to learning from both the engineering education perspective, as well as from thetechnological perspective.AcknowledgementsThe National Science Foundation provided the funding for this work through a NSF Planning Page 11.918.11Grant EEC #0530708. We would also like to acknowledge the contributions of the otherresearchers collaborating in the CLEAR project, specifically Denny Davis, Chris Hundhausen,Jerry Maring, Robert Olsen, Dave Pollock, and Richard Zollars for their guidance andcontributions to this research.References1
token to theteam on your left.”The team that collects the most tokens wins. Actually, though, everyone wins: for at least anhour, employees have been engaged in focused problem-solving and consensus-based discussionabout corporate scenarios based on real ethics cases at the company.Each game set includes all playing accessories; a video of opening/concluding remarks by CEONorm Augustine, Dilbert, and Dogbert; six team guides; and one very detailed leader’s guide.This booklet includes instructions for play, a guide for determining numbers and sizes of groups,a floor plan for optimal table arrangement, and comments on the potential answers for eachscenario, including scores for each response
eliminated.By involving industry partners in this decision, we were able to meet costs associated with thenew courses were offset through donations. Donations included upfront costs, ongoing labsponsorship, and a good quantity of networking tools. The university also proved funds tosupplement curriculum change costs. Four faculty have since been trained with primary fundingfrom Exceptional Merit Grant awards – sponsored through the Ferris Foundation.Opportunities through change...By 2003 the department was undergoing significant changes. Several faculty retired, providingopportunity to bring fresh talent into the program. In addition, the entire department facilitieswere being remodeled. Change equals opportunity.Through a little crafty floor planning
academic institutions: A decade of research.” Ethics and Behavior. 11(3): 219-232. 2001.12 Beck, L., and I. Ajzen. “Predicting dishonest actions using the Theory of Planned Behavior.” Journal of Research in Personality. 25(3):285-301. 1991. Page 11.322.13
-3.12 Senator Patrick Leahy “Radio Frequency Identification (RFID) Video Surveillance; Legal and Technological Challenges” Speech at Georgetown University Law Center and The Constitution Project 23 March 2004. Available at http://www.mindfully.org/Technology/2004/RFID-Patrick-Leahy23mar04.htm13 C. Perrow, Normal Accidents: Living with High-Risk Technologies, New York : Basic Books, 198414 Rittel, H., M. Webber, “Dilemmas in a General Theory of Planning” pp 155-169, Policy Sciences, Vol. 4, Elsevier Scientific Publishing Company, Inc., Amsterdam, 1973.15 M. Minsky, foreword to K.E. Drexler, Engines of Creation: The Coming Era of Nanotechnology, Anchor, 198716 J. Dann, G. Dozois (eds), Nanotech, Ace Books, December 1, 199817
/or teleconferences with the industrial sponsor. This high frequency of contact among allstakeholders ensures projects can stay on track despite the distractions of other courses, teamdynamics, busy schedules, etc.. In addition, there are six major design reviews in which teamspresent progress to date and plans. The third element are written reports (deliverables), a total of10 over the span of two semesters, including two major reports, a design package at the end ofthe first semester, and a full account of all project activities and results at the end of the year.It should be noted that there are less milestones during the 2nd semester, there are two reasons forthis “easing” on reporting requirements. During the first semester all projects
its functionality is surprisingly difficult and revealsthat novices struggle both to accurately read code and to extract meaning from that code [2].Xie and colleagues argue that programming should first teach students how to read/trace codeand then teach them how to comprehend common programming templates or plans [8]. Thesetemplates could be seen as being connected to the idea of beacons, where certain commoncoding patterns can help an expert more quickly identify the purpose or meaning of a line ofcode. Based on studies that have suggested that tracing skills may play an important role inhelping students read code [9], some have proposed that early code reading should focus onteaching students how to formally trace programs with promising
concerned with assessment at the course level and will describehow one might organize a plan for such assessment. Page 11.356.6 Table 2: Example Survey for Heat Transfer Please indicate your level of agreement with the following statements: use 5 for strongly agree; 4 for agree; 3 for neutral; 2 for disagree; and 1 for strongly disagree.disagree agree 1 2 3 4 5 I feel that I understand the physics of the modes of heat transfer understand heat conduction in one dimension and electrical analogies am able to analyze heat exchangers using the
anumber of patterns on an as-needed basis, and still others exhibit strong preferences for a numberof patterns. Each pattern is distinguished by a number of features. A few hallmarks are listedbelow: Sequential learners prefer order and consistency. They want step-by-step instructions, and time to plan, organize, and complete tasks. Page 11.442.3 Proceedings of the 2006 American Society for Engineering Education Annual Conference & Exposition Copyright 2006, American Society for Engineering Education Precise learners thrive on detailed and accurate information. They take copious notes and
Paper ID #17998Students’ Conception and Application of Mechanical Equilibrium ThroughTheir SketchesMs. Nicole Johnson, University of Illinois, Urbana-Champaign Nicole received her B.S. in Engineering Physics at the Colorado School of Mines (CSM) in May 2013. She is currently working towards a PhD in Materials Science and Engineering at the University of Illinois at Urbana-Champaign (UIUC) under Professor Angus Rockett and Geoffrey Herman. Her research is a mixture between understanding defect behavior in solar cells and student learning in Materials Science. Outside of research she helps plan the Girls Learning About
settings. Students identify whatthey know and what they need to learn, plan how they will learn more, conduct research, anddeliberate over the findings together in an attempt to structure and solve a challenge or problem.This study explores students’ perspectives on the STEM-ID curriculum regarding what they havefound challenging, engaging, and academically useful, specifically related to their coremathematics and science courses. This study is guided by the following evaluation questions:1) What are students’ perceptions of the STEM-ID curriculum?2) What are students’ perceptions of key components of the curriculum such as collaboration?3) To what extent do STEM-ID students make connections between the STEM-ID curriculum and core science and
-semester, project-based software engineering course in which studentsworked in teams of 5-6 members, risk management content was introduced about 5 weeks intothe semester at a point where the teams had completed their requirements documentation andwere ready to plan the remainder of the project. Even though the undergraduates were exposed tothe 194 questions14, the students perceived only 36 questions to be relevant and further groupedthe identified risk items into 6 categories. The usefulness of the condensed list was shown in awaterfall development model in that the course reported by Collofello and Pinkerton17 spannedthe entire semester starting with the teams defining their software projects’ requirements andending with acceptance testing for
Paper ID #18699Switching Midstream, Floundering Early, and Tolerance for Ambiguity: HowCapstone Students Cope with Changing and Delayed ProjectsDr. Kris Jaeger-Helton, Northeastern University Professor Beverly Kris Jaeger-Helton, Ph.D. is on the full-time faculty in the Department of Mechanical and Industrial Engineering at Northeastern University (NU) teaching Simulation Modeling and Analysis, Facilities Planning, and Human-Machine Systems. She is Director of the Galante Engineering Business Program as well as the Coordinator of Senior Capstone Design in Industrial Engineering at NU. She has also been an active member of
classrooms after one year of training, 78% reported regular use after three-year training. Besides teacher confidence and comfort level with the tools, studentengagement, grade levels and subject areas also affected the intensity of CMST utilization inthe classroom. A typical annual survey, shown in Table 2, indicated that the higher the gradelevel the more regularly the tool usage. Modeling is a common practice in math but it maynot need as many resources as science classes to simulate time-dependent dynamics ofscientific phenomena. By the end of the initiative, we developed a large database ofmodeling-based curricular modules and lesson plans to increase utilization by participatingmath and science teachers. Currently they are well utilized
speaking, written language including reading, writing, and spelling,arithmetic including both calculations and mathematical concepts, and reasoning includingorganization and integration of ideas and thoughts. This source also presents functionallimitations that may present themselves in learning disabled students. They include auditoryperception and processing, visual perception and processing, information processing speeds,abstract reasoning, short and long term memory, spoken and written language, mathematicalcalculations, and executive functioning such as planning and time management. A typicalleaning disabled student may have more than one such limitations. They may actually have manyof them such as myself, which have about half of them to
emaildatabase from the engineering college. This strategy did not produce a large pool of participants.Our second strategy involved face-to-face meetings with engineering lab groups. We providedthe same information detailed in the email and asked participants to sign-up during theiravailable time. Four EDS volunteered for our IBM interviews; three were international studentsand one domestic. The four participant’s degree completion and engineering specialities werecomprised as follows: a civil engineer in his third of his planned four years (Edward); amechanical engineer in her last year (Trisha); a material science engineer in his first year(Vince); and a mining engineer in his last year (Oliver). Each participant was assigned apseudonym to provide
diverseparticipants. Five separate respondents mentioned internships and co-op learning as part of theirmakerspace offerings, ranging from required co-op projects to summer internships. One EDresponded noted a particularly unique internship opportunity: A consulting engineer in the community came to [our makerspace] and asked if we could translate paper plans for an environmental site requiring decommissioning. We linked that person with a sophomore student to do the SolidWorks files and suggested [to the engineer that] they might want to do a 3D printed model that would allow them to ‘war game’ how the site would be dismantled. They hired the student who is doing this project for internship credit, has printed and laser
responded that CONSIDER provided thema better opportunity to learn than any other in-class or online activity. A very high number of par-ticipants said that the two unique features of CONSIDER approach –anonymity and rounds-basedstructure– helped improve the quality of discussion in their groups (83 and 75% respectively).Their text comments to the reflective questions highlight the importance of the unique features ofCONSIDER.We plan to further evaluate the efficacy of the features of CONSIDER by designing careful ex-periments in coming semesters and using the tool in different engineering classrooms. This setof experiments will help us evaluate the effectiveness of these features of CONSIDER. We wouldalso like to perform a detailed analysis on the
- prices-for-formic-acid-in-europe-and-in-the-americas/. [11] Office of the Federal Register, "The List of Extremely Hazardous Substances and Their Threshold Planning Quantities," 2008. [12] ScienceLab.com, "Acrylic Acid MSDS," 2013. http://www.sciencelab.com/msds.php?msdsId=9922794. [13] C. A. Quispea, C. J. Coronado and J. A. Carvalho Jr., "Glycerol: Production, consumption, prices, characterization and new trends in combustion," Renewable and Sustainable Energy Reviews. 27: 475-93, 2013. [14] S. N. Bizzari and M. Blagoev, "CEH Marketing Research Report: FORMIC ACID," Chemical Economics Handbook, 2010.[15] L. Terry, "Dow acrylic acid cuts seen as good first step," ICIS, 05 February 2016. http
using the email we have for them onfile. It should be noted that only 75 email survey requests out of 1055 bounced back, this wouldlead us to conclude that a majority of the requests were either ignored or were not read. We planto provide some incentives for students to complete the surveys going forward. We also plan toadminister the survey well before the end of the semester.One other limitation of the study is that it is very possible that those who responded to the surveysare different from those who did not respond. For example, for the instructor survey, it may bethat only those instructors who viewed the workshops as helpful actually responded. Those whodid not respond may have been more likely to find that the workshops were not helpful
this direction inproving that there is a benefit to games and teaching HDLs.The website www.users.miamioh.edu/jamiespa/verilogTown/ provides manyadditional details about the game and has links that will guide researchers to the source code,downloadable files, and other resources for the game and learning Verilog.References [1] J. McGonigal. Reality Is Broken: Why Games Make Us Better and How They Can Change the World. Penguin Press, 2011. [2] Mihaly Csikszentmihalyi. Flow. Springer, 2014. [3] Tim Harford. Adapt: Why success always starts with failure. Macmillan, 2011. [4] Alfie Kohn. Punished by rewards: The trouble with gold stars, incentive plans, A’s, praise, and other bribes. Houghton Mifflin Harcourt, 1999. [5] P. Jamieson and L
understand the causes of the current state, theoppressed are not “things” anymore; they are the subject in the struggle for liberation. As aresult, the oppressed may find out who they really are, how oppressors use and abuse theoppressed and, arguably, how to begin imagining and planning alternatives to oppression.Even though the oppressed may “understand” and “discover” that they are oppressed, they can’tnecessarily reflect on a current state of oppression due to systematic undermining of their corevalues. That is, it takes persistent effort to believe oneself worthy of dignity and a share of socialinfluence when systems of oppression convince the oppressed to believe the contrary, that theydo not matter or deserve regard.45Moreover, the oppressed
case story occurred while Kris interviewed for assistant professor positions coming out of atop tier graduate school. Her goal was to interview for all the positions on the market in theUnited States that she was eligible for until she got her first offer and then to be morediscriminate about positions moving forward. Her aim was to join a research-intensive institutionthat also valued teaching, in a region in which she desired to live. As it went, she interviewed attwo very strong universities, and then had a third interview at one of the so-called “top ten”engineering programs, “TTU.” A fourth interview was planned for the following week when herfirst offer came in, from University #1, creating an “auction” environment, where any secondoffer