transfer aspects of the WATER course is described in another paper.)This preliminary trip to Benin also led to the realization that introducing water filter technologyand mastering the skills needed to manufacture the water filters would not be enough to ensuretheir success. To be effective and really help improve the health of Beninese citizens, the waterfilters would need to be purchased. Convincing the Beninese citizens to purchase the water filterswould require providing education about why the filters are needed, how they work, and how touse them correctly. This meant the project would need to include health education and healthmarketing, as well as engineering technology. The idea to make the WATER courseinterdisciplinary in nature arose
and visualization technologies for building design and construction. Robert earned his Masters in Architectural Engineering at Penn State, as well as having a background in the construction industry. In addition, Robert has also spend time working with VTT, the Technical Research Center of Finland, as a visiting scholar with their Building Informatics team. Robert’s interest in Multi-Media educational methods has grown through his research into improving team collaboration through improved communication technology. He can be reached at rml167@psu.edu.John Messner, Pennsylvania State University Dr. John Messner is an Associate Professor of Architectural Engineering and the Director of the
, Brazil, Bulgaria, China, India, Qatar, United Arab Emirates and many other countries.Jean Hodges, Virginia Commonwealth University Qatar Branch N. Jean Hodges, Virginia Commonwealth University, Qatar Branch Campus Since Fall 2004, N. Jean Hodges has been an Assistant Professor of Writing and Writing Center Instructor at Virginia Commonwealth University Qatar (VCUQatar) in Doha, Qatar. Hodges works on writing assignments individually with VCUQatar students in all three of the university’s design majors as well as in the liberal arts courses. She earned her degrees in North Carolina: a Master of Science in Technical Communication from North Carolina State University; a Bachelor
AC 2009-162: INTRODUCING ROBOTSRyan Meuth, Missouri University of Science and Technology Ryan Meuth received his Bachelors and Masters degrees in Computer Engineering from the University of Missouri –Rolla in 2005 and 2007 respectively. He is currently a Computer Engineering PhD student at Missouri University of Science and Technology (formerly the University of Missouri – Rolla). He works as a research assistant in the Applied Computational Intelligence Laboratory, contributing to research projects on optimizing the behavior of robot swarms, large scale optimization problems such as computer Go, and high performance computing methods utilizing video game consoles and graphics processing units. His
research interests are in fluid mechanics, heat transfer, applications of numerical analysis, and in improving undergraduate engineering education.Brian Benini, Case Western Reserve University Brian Benini is a 2008 Mechanical Engineering Technology graduate of Penn State Behrend. He is now pursuing a Master of Science degree in Materials Science and Engineering at Case Western Reserve University in Cleveland, OH. His thesis work involves fracture and fatigue behavior of implantable medical wires. Page 14.37.1© American Society for Engineering Education, 2009 A Laboratory Exercise to Teach
. This is just one example ofthe definition of plagiarism used in University of Bridgeport for Academic Honesty Standards1. Page 14.160.21 Academic Standards, Guidelines and Resources, University of Bridgeport,http://www.bridgeport.edu/pages/2626.asp “Intentional as well as unintentional failure to acknowledge sources as well as the use of commercially available so-called research papers without full recognition of the source.”The well-known cases of plagiarism in engineering education include master thesis controversyin Ohio University [1], and Dr. Hwang’s case in stem research [2]. Both of the cases bring us thefollowing
, Doctor of Engineering, Information and Computer Engineering, Kanazawa Institute of Technology. Professional Experience: 2001-present, Assistant Professor, Kanazawa Institute of Technology. 1987-2001, Assistant Professor, Kanazawa Technical College.Tetsuro Furukawa, Kanazawa Institute of Technology Education: 1965, Master of Engineering, Tokyo Institute of Technology. Professional Experience: 2001-present, Lecturer, Kanazawa Institute of Technology. 1965-2001, Hitachi Zosen Corporation.Loo Ching Nong, Singapore Polytechnic Education: 1985, Bachelor of Engineering, National University of Singapore. Professional Experience: 1997-present, Lecturer, Singapore Polytechnic. 1989-1997, INDECO
go back andonly a naïve dreamer can believe that the solution lies in curtailing technological progressin some way or another. It will not happen.Some argue that this points to the need for a new sense of responsibility, a call for ourconscience to catch up to our reason, a divestiture of our egotistical anthropocentrism,our seeing the universe as a machine with our role as master mechanics, free to fix andfiddle to attain any result within our grasp. It would seem that this new responsibilitymust be based on a respect for all that transcends us: for the universe, the Earth, nature,life and for reality. With this new sense of responsibility, we as engineers would conductourselves as though we would live on this Earth forever and one day be
speculates that this may be because students of all fourconcentrations must take the required strength of materials (solid mechanics) course, not allstudents may have mastered that material, and that course does not have a lab component. Thenumber of mechanical concentration students for this section was 14, and there were 4electricals, 11 civils, and 1 industrial concentration student in this section. Mechanical and Civilconcentration students, taken together, were the majority in the section and that might also giveinsight into the results of table 3. Mechanical and Civil concentration students could reasonablybe expected to be more interested in measuring beam deflections, for example.The seemingly dominant popularity of lab 8 in terms of “fun
India.” Duke University Master of Engineering Management Program. 12 December 2005..6 US Government Accountability Office. Higher Education: Federal Science, Technology, Engineering, andMathematics Programs and Related Trends. GAO-06-114. October 2005..7 The National Academies. Rising Above the Gathering Storm: Energizing and Employing America for a BrighterEconomic Future. Washington, DC: National Academies Press, 2005.8 Boehlert, Sherwood. Address at Summer Meeting in Washington, DC. 23 June 2005. Business-Higher EducationForum. 12 January 2006. < http://www.bhef.com/media/62305education.pdf>.9 Jones, Richard M. “FYI Number 36: Tough Appropriations Hearing for OSTP and NSF Budget Request.” 22March 2005. American Institute of Physics
interesting adjunct of Trial 4 was providing students the opportunity to not only use the finalassessment for remediation of any number of (up to all ten) course outcomes, but also use itimprove their score (relative to the primary assessment) on any (up to all ten) outcomes. Perhapsobviously, many students took advantage of this rather generous offer (intended as an incentiveto “put it all together at the end” and master the course outcomes) and improved their coursegrades dramatically. Too many others, however, did not, and despite the offer still managedsomehow to fail at least one outcome – in total, 42 out of 274 students (15%) received the fatefulgrade of “E” (conditional failure). If Bilbo (of Lord of the Rings fame) had been the instructor,he
averaged response scores where Strongly Agree = 2, Agree = 1, Neutral = 0,Disagree = -1, and Strongly Disagree = -2. Score Typical Students consider it Typical Professional Engineers Score (Ave.) acceptable to choose… consider it acceptable to choose… (Ave.) 1.0 …how much effort to put into a …how much effort to put into a -0.8 class project 0.2 …to skip a class …to be late for work or miss -1.6 meetings 0.7 …to turn in poorly completed …to produce low quality work -1.4 assignments 0.8 …how well to master
performance. Theother is that students, as reported through the focus groups, were overworked and did not put asmuch time and effort into the blogs as they might under other circumstances. Student self-reportson the end-of semester evaluation are consistent with the idea that students were learning to Page 11.880.9engage in these ways but did not feel they had quite mastered it.It is clear that the evaluation/grading rubric needs to be revised to break down each of the threecategories for separate evaluation, as too many different abilities are being evaluated in eachcategory. This will take more time in grading, but will result in better feedback to
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
’ preparation for working in an information economy. With most of theirresearch experience occurring in a humanities or social sciences context, engineering students donot always understand research as something that “engineers do.” Old attitudes die hard, and itis still a challenge to convince students that information skills are not only useful, but critical totheir success. Rodrigues states, “Engineering students, in preparation for efficiently managinginformation during their careers, should be departing the university for industry with more thanjust an accumulation of textbooks and course notes to take with them.”16 Bracke and Critzsupport this, saying, “Science and engineering students need to master complex subject-specificresources that often
is a graduate student in the Department of Systems Science and Industrial Engineering at Binghamton University, State University of New York at Binghamton. Currently, he is a research associate in the Industrial Engineering Department at Endicott Interconnect Technologies, Inc. (former IBM Microelectronics, Endicott). His email address is jsturek1@binghamton.edu.Sumit Parimoo, SUNY Binghamton Sumit Parimoo completed his Masters in Industrial Engineering from the Department of Systems Science and Industrial Engineering at Binghamton University, State University of New York at Binghamton. He is currently a Business Systems Analyst at Sanmina SCI, San Jose, CA.Krishnaswami Srihari
, email) • Logs of problem solving activities (item 4)V. Assessment of Course OutcomesThe course entitled CPET 190 Problem Solving with MATLAB was designed in spring 2004,and officially approved for offering in fall 2004 by Purdue University. The instructor wasselected to develop the course material during the summer. In the fall 2004, we had only 9students enrolled in the course. The low enrollment was mainly due to insufficient time forproper advertisement through university master schedule. By the end of the semester, 6 studentswere successfully completed the course. For spring 2005, there are 16 students enrolled in theonline section and 20 students enrolled in the traditional classroom class with Internetsupplement. The
curriculum materials thatintegrate middle school mathematics, science, and technology (among other subjects). TheIMaST curriculum was developed by teams of master STEM teachers who came together in thesummer for training. Like the TSM Project, IMaST has a learning cycle associated with it:design, assess, plan, implement, and communicate. Both the TSM and IMaST projects focus onaddressing national standards in mathematics, science, and technology.Frye 22 documented the engineering problem-solving process used in the Dartmouth Project. Thisproject was an effort to get mathematics and science teachers to integrate engineering design intothe high school curriculum. Later, technology education teachers were included in theprofessional development offered
procedures for analyzing circuits made up of these elements when they are powered byvoltage and current sources. The analysis techniques first taught are based on representation ofthe voltages and currents in the time domain. After doing this, it is shown how much easieranalysis becomes if the Laplace transform is used to transform to the s-domain. Here the studenthopefully sees that mastering the mathematics of complex numbers pays off.We offered this course for the first time in the spring 2006 semester. The course is based on thefollow-on text9 and our own supplementary laboratory materials. Again, the class met for three75-minute sessions per week, with a 15-week semester. The Monday and Wednesday meetingswere conducted in a lecture format, and
ECEs bring to modernsociety. The students entering an ECE program come with the high hopes that they willbe able to become a master of all these neat technologies by the time they leave. It is thathope and desire that can be channeled through active learning into course pedagogicalchanges that help students retain the most relevant components of their educationalexperience. Unfortunately, today’s students also come with some of the record lowestpreparations in mathematics, science and reading [5] often placing greater responsibilityon the ECE instructor to provide remedial aid. It is widely agreed that students read onlywhat they believe is required from the texts to solve homework or other assignments anddo not use that learning aid in the
Research Associate Professor in Academic Affairs. Dr. Streveler holds a Ph.D. in Educational Psychology from the University of Hawaii at Manoa, Master of Science in Zoology from the Ohio State University, and a Bachelor of Arts in Biology from Indiana University at Bloomington. She is co-principle investigator of three NSF-sponsored projects: Developing an Outcomes Assessment Instrument for Identifying Engineering Student Misconceptions in Thermal and Transport Sciences (DUE - 0127806), Center for the Advancement of Engineering Education (ESI-0227558), and Rigorous Research in Engineering Education: Creating a Community of Practice (DUE-0341127).Kimberley Breaux, KIMBERLEY R. BREAUX
mathematicaltransforms in digital signal processing for their Master theses and conference papers [4].AcknowledgementThe author is very grateful to the anonymous reviewers for their valuable suggestions toimprove the presentation of the paper.References1. Aho, V. and J. D. Ullman, “Principles of Compiler Design,” Addison-Wesley, Reading, MA, 1977.2. Peter J. Ashenden, The Designer’s Guide to VHDL, 2002, Morgan Kaufmann Publishers, San Francisco, California 94104.3. Bhasker, J., “A System C Primer,” Star Galaxy Publishing, 2004.4. Goodman, T. J. and Aburdene, M. F., “A Hardware Implementation of the Discrete Pascal Transform for Image Processing,” IS&T/SPIE 18th Annual Symposium on Electronic Imaging, San Jose, California, January 2006.5
, software, and effective teaching strategies. It is during the STI thatteachers receive direct instruction on the course they will be teaching. The training is conductedby approved and trained “Master Teachers” and “Affiliate University Professors” with at leasttwo trainers in the classroom.The purpose of this phase of the research was to determine if the PLTW training model isperceived by the participating teachers, as sufficient for preparing them to teach their newcourse. In addition, the investigators sought to determine if the teachers continued theirprofessional development through other activities. The investigators posed three researchquestions regarding the PLTW professional development model: 1. How satisfied were PLTW teachers with the
. Through this process, we expect the students to master the topicspresented in each chapter and see how they are actually applied in solving real-worldproblems.Example of Integration of Topics with Case Study MaterialsIn order to explain how the engineering/ business topics were integrated with the casestudy materials, we herein provide an excerpt that describes the importance of iterativenature of design and then show an example from the challenger case study illustratingthis principle.Elements of the Design Process Design is one of the primary tasks that engineers undertake and it is expected totake as much as 30% of an engineer's time on the job. To be competitive in today’sglobal marketplace, products must be developed and introduced to
Recognition”. Proceedings of ARPA Human Language Technology Workshop, March 1993.[4] Veton Këpuska et al., “Voice Activity Detection “ Patent No. 13323-011001 - 10/144,248, 5/14/02[5] C. S. Myers and L. R. Rabiner, “A comparative study of several dynamic time-warping algorithms for connected word recognition”, The Bell System Technical Journal, 60(7):1389- 1409, September 1981.[6] Duane Hanselman and Bruce Littlefield, “Mastering MATLAB 7”, Prentice-Hall, 2004[7] Rabiner, L. R. and Juang, B. H., “An introduction to Hidden Markov Models”, IEEE ASSP Magazine, pp. 4-15, January 1986i Wake-Up-Word [WUW] Recognition is defined as a Speech recognition task of:Correctly responding to a specific word/phrase when spoken, andCorrectly rejecting
technology with special emphasis on recruiting underserved students. She joined CCCCD from Raytheon Professional Services where she served as director of product and technology management. She has also been Director of Certifications for Novell, Inc. and has owned her own consulting firm. She holds a master of science degree in computer science from Florida Institute of Technology, a bachelor of science degree in mathematics from Oklahoma State University. Author of several textbooks, she has written a newsletter for the trainer community for Certification Magazine, and she was a regular contributing editor for IT Contractor Magazine
that affect enrollment and retention of female students in science, math, engineering and technology (SMET) and help increase the female student population in SMET fields. He is also interested in teaching methods such as brain-based teaching, constructivism, team teaching and active learning that might improve the quality of engineering education.George Morgan, Colorado State University Dr. George Morgan is a professor emeritus in the School of Education, Colorado State University. He received his Ph.D. in child development and Psychology from Cornell University. During his 40 years of professional career, he has conducted programs of research on children’s motivation to master challenging
on the pedagogy of Engineering Technology.Francis Di Bella, Northeastern University Professor DiBella is the current Director of the School of Engineering Technology at Northeastern University. He holds a Masters degree in Mechanical Engineering and is a Registered Professional Engineer. Professor Dibella has written numerous papers of the subject of renewable energy.Walter Buchanan, Texas A&M University Dr. Buchanan is Professor and Head of the department of Engineering Technology and Industrial Distribution at Texas A & M University. He received his BSE and MSE from Purdue University, and his Ph.D. and J.D. from Indiana University. Walt is a P.E. in five states, and is Past Chair
sciences.Reponses to open-ended items regarding the pressures/hesitations were analyzed using atechnique similar to that reported by McCabe et al., referred to as the “content analysisprocedure”10. In the first step, each response was examined verbatim by three independentexaminers. The examiners determined what “thought units” were involved in each response.During the second step, each examiner independently attempted to categorize thought units.Each category was given a descriptor that was inclusive of all thought units within that category.As a group, the examiners integrated and refined their lists of categories into one master list. Inthe final step, the examiners grouped the categories into a list of overall themes throughdiscussion, negotiation and
startersalso networked with colleagues at least four hours a week, forming connections that helped themwith both teaching and research and eased their transition into the local faculty culture. Universities invest hundreds of thousands of dollars in each new faculty member they Page 11.1018.2hire. A 4–5 year learning curve is long and costly, and the costs continue to mount for thosefaculty members who never manage to master the different parts of the job. Moreover, facultymembers whose careers get off to a slow start are more likely than quick starters to bedisillusioned and less productive at mid-career.1 Most universities have campus-wide