-123JSpring-2006/CourseHome/index.htm 5. http://www.sfi.mtu.edu/About_SFI.htm 6. http://www.epa.gov/nrmrl/lcaccess/ 7. Pre Product Industrial Consultants "Eco-indicator 99 Manual for Designers: A damage Oriented Method for Life Cycle Impact Assessment" 2000, Ministry of Housing, Spatial Planning and Environment. 8. Diamond J. “Collapse: How Societies Choose to Fail or Succeed” 2005, Penguin Group USA. 9. Lovins A., Lovins, H., Hawken P. “Natural Capitalism Creating the Next Industrial Revolution” 2000, Little Brown & Company. 10. Coulter, S., Bras, B., Foley C., “A Lexicon of Green Engineering Terms” Praha, August 22-24 1995, International Conference on Engineering Design
practice information retrieval and evaluationskills. Students are asked to find the best sources to support their answers to the followingquestions (skills practiced noted in parentheses following each question): a. Who developed the patent for the Clif shot litter leash? What earlier innovations did it Page 14.761.5 build upon? (Requires a patent search.) b. Find two peer reviewed original research articles published in the last year about how climate change will affect hurricane frequency in the Atlantic. (Practices database search strategies and proper citation format) c. What is a ballast in a fluorescent light fixture
approach as it is not possible to create statistically viablesub-populations with which to study the effect of exogenous and endogenous factorvariation. Key to realize with this example are that a) the CVF is a framework and is notlimited to quantitative studies, and b) even if a capstone program is large, investigatingthe effects of factors on the capstone experience requires the total population of capstonestudents to be divided into progressively smaller sub-populations.An in-depth study of the University of East's Systems & Information Engineering (SIE)department's Capstone Program was undertaken during the 2007-8 academic year. Thenumber of students involved is similar to the University of West. Ninety six studentsparticipated in a series
: A follow-up study of the job attitudes of business school graduates. Organizational Behavior & Human Performance, 6(1), 36-49.11. Mitchell, T., & Knudsen, B. (1973). Instrumentality theory predictions of students' attitudes towards business and their choice of business as an occupation. Academy of Management Journal, 16(1), 41-52.12. Lawler III, E., Kuleck, W., Rhode, J., & Sorensen, J. (1975). Job choice and post decision dissonance. Organizational Behavior & Human Performance, 13(1), 133-145.13. Mitchell, T., & Beach, L. (1976). A review of occupational preference and choice research using expectancy theory and decision theory. Journal of Occupational Psychology, 49(4), 231-248.14. Brooks
identifier. The version of CAN 2.0B extends to a 29-bitidentifier. Figure 5 shows the CAN 2.0 protocol layers for A and B. The CAN module for theM16C29 microcomputer is a communication controller implemented with a CAN 2.0B protocol.CAN 2.0B has application, data link and physical layers. The application layer generates orinterprets data and actually sends and receives messages. The object layer is responsible forhandling messages, such as selecting a transmitted or received message, working as an interfacebetween the transfer layer and the application program running on the CPU. The transfer layerensures that messages adhere to the protocol. The physical layer defines the physical (hardware)implementation and the electrical (signal level
not only involve finding them, but also the process of gettingthe proper copyright permission for making them available. The final goal is that when theconstruction of this database is completed, users will be authorized to upload their proposeddocuments using a proper registration and log-in system.The major tasks for the development of this project are: 1. Identification of documents, 2.Procurement of documents, 3. Thesaurus development, 4. Database architecture development,and 5. Development of the public interface development. 1. Identification of documentsThe identification of publications related to engineering education represents an essential step.The publications to be included in the database are: A. Conference proceedings, B
documentation for product lifecycle management. He teaches Global Standardization, one of the four graduate standardization courses mentioned in the paper.Paul McPherson, Purdue University Paul B. McPherson is a graduate of Berea College in Kentucky and currently a graduate student at Purdue. His interests include mechanical design, standardization, green manufacturing and alternate energy systems. Page 14.725.1© American Society for Engineering Education, 2009 Incorporating standards into engineering and engineering technology curriculum: It’s a matter of public policyAbstractStandards are those
and how this technique may be useful for making complex learningenvironments more navigable. The author believes advances in technology are poised tomake huge differences in the way we teach and the way students learn. Future work willinclude implementation of such tools in courses taught and comparative assessment ofstudent learning outcomes.References1. Novak, J. D.; Cañas, A. J. The Theory Underlying Concept Maps and How to Construct Them. cmap.ihmc.us/Publications/ResearchPapers/TheoryUnderlyingConceptMaps.pdf (November 20, 2008),2. Novak, J. D.; Gowin, D. B., Learning how to learn. Cambridge University Press: Cambridge, 1984.3. Milam, J. H., Jr.; Santo, S. A.; Heaton, L. A. Concept maps for web-based
students’transformations in attitude towards and knowledge of: (a) the natural environment (as somethingto be concerned about) and (b) engineering (as a profession which has a large impact on thenatural environment) as well as their overall ‘resistance to change’. Page 14.1087.2IntroductionEnvironmental protection strategies will improve and evolve only with the participation andperspectives of all engineering disciplines. In fact, there is increasing awareness in most fieldsof engineering that environmental constraints are embedded in almost every societal challenge.For example, the Accreditation Board for Engineering and Technology’s ABET-EC 2005
Design Connections Connections (a) Technology Survey Courses (b) Technology Focus Courses Technology Topic Area
wereconducted with undergraduate students in the selected departments. All interviews wererecorded and transcribed. Students received a $10 incentive for participating in the groupinterviews.Members of the research team developed a student questionnaire. Some parts of TheStudent Persisting in Engineering Survey developed as part of the Assessing Women andMen and Engineering Project (AWE) were used in the student questionnaire. TheEngineering Student Survey contains 114 questions. After a set of demographic items, thequestionnaire is organized in seven sections: (a) Important Factors in Career Choice, (b)Self-Assessment of Abilities, (c) Classroom Experiences, (d) Support Networks, (e) In-and Out-of-Class Engagement, (f) Opinions about University and
the Spring 2008 and Summer2008 semesters. A pre-/posttest experiment with the undergraduate engineering students wasconducted. We spent one lecture session on informing the students the lab contents andconducting the pre-assessment and data collection. After that, we scheduled the one-on-one labinstruction session with each student. The students were divided into a haptics training group anda control group to be taught with graphics animation only. At pre-test, all participants werepresented with a battery of spatial reasoning and problem-solving ability tests. Each participantwas randomly assigned to one of two groups: a) Graphics group: Participates in the pre- andpost-test, but is taught Dynamics with graphics animation only; b) Haptics
information Page 14.1116.5or concepts from the module to a new example or situation. Level 3 items are analysis items andrequire a more sophisticated understanding of the concepts in the module. An example item ateach cognitive level and the corresponding count of items is shown in Table 1.Table 1: Examples of items on the assessment and count of items by cognitive level.Level Count Item Text 1 12 Which statement best describes a system? A. It is a complex way of completing a task. B. It is a group of unrelated parts within a product
lane width.CA4PRS OutputsAgency engineers, contractors, and consultants can use CA4PRS to determine the duration ofproject and to estimate the probability of project accomplishment within a given project duration.The former is called the deterministic analysis and the latter is referred to as the probabilisticanalysis. More specifically, the deterministic analysis determines (a) the duration of project, (b)maximum production rate, (c) critical resources, and (d) material volumes. It provides answers tothe following management questions: • How many lane-km could be finished within a closure? • How many closures in total are needed to finish the whole project, and what is the total duration of the closures? In
. Ms. Hay has more than 25 years of teaching experience in K-12 through college programs, teaching German, English as a foreign language, biology, general science, life science, ecology and music. She received a B.A. and an MS in biology from Stanford University and a Teaching Credential from the University of California, Berkeley.Cheryl Schrader, Boise State University Cheryl B. Schrader is Dean of the College of Engineering and Professor of Electrical and Computer Engineering at Boise State University. Dean Schrader has an extensive record of publications and sponsored research in the systems, control and engineering education fields. Recent recognition related to this work includes
) does this lesson address? 2. Are the big idea(s) explicitly stated in the lesson as part of the: a. -Learning goals? b. -Instructional sequence? c. -Assessments?Table 2 presents a summary of the big ideas covered in the lessons as a whole. Table 2. Summary of Lessons and Big Ideas AddressedTopic of Lesson Number of Classes Big ideas of nanoscience Lessons DevelopedSelf Assembly 2 Honors Chemistry, Self Assembly General Chemistry Forces ModelsBiosensors 4 Biology
completion of their degrees. Fulldetails of the development, administration, and preliminary results of the survey can be foundelsewhere.18, 19 For the purposes of this paper, we will be focusing on three constructs thatmeasure different aspects of academic self-confidence. Each construct comprises two or moreitems (questions). Page 14.614.3 I. Confidence in math and science skills: a) math ability b) science ability II. Confidence in open-ended problem-solving skills: a) Creative thinking is one of my strengths. b) I am skilled in solving problems that can have multiple solutions
semester hours for ET programs, with no specifics for E programs. SomeInstitutions defer the Humanities and Social Science electives to the senior year in order tointroduce as many technical courses as possible during the first two years. If one assumes asomewhat uniform distribution of the semester credit hours over an undergraduate careerspanning 8 semesters, the number of credits per semester will range between 15 and 18 hours.The proposed two-year template ranges between 65-68 credit hours and is given in Table 2. Table 2. A 2-year Template for ME and MET Programs. Format: Course (a, b) where a=number of lecture hours; b=number of lab hours Term 1 Term 2 Term 3 Term
BeamThese four modules, as part of the entire set of 12 Finite Element learning modules, are arefreshing first step to filling a current void in engineering education. Their benefits, along withthe assessment methodology developed in this paper, have the potential to be far reaching.Assessment FoundationsHelpful steps to assessments for the FE tutorials are: (a) gathering student demographics (i.e.academic major, educational level, grade point average, expected grade earned in current course,reason for taking course, plans after graduation, age, ethnicity, and gender); (b) gathering Felder-Silverman learning style and MBTI personality type (this analysis, along with learningobjectives, can be reviewed and fed back into improving the learning
theowners of those differences as “inferior”), leading to the undervaluation and poor utilization ofpotentially critical contributions to the team. In general, when any team comes together to solvea problem, they automatically inherit another problem: the management of cognitive diversitywithin that team. Kirton refers to these two problems as “Problem A” (the original problem thatbrought the team together) and “Problem B” (managing their individual differences),respectively19; successful teams spend more time on Problem A than Problem B, but this may beno easy feat!It is also important to note that some scholars (and many practitioners) have become particularlyenthralled with Innovation (“radical, breakthrough change”) in recent years, which
. Fullyexploiting the power of these systems, however, is a significant challenge. We are developing ahigh performance computing and cyberinfrastructure signature area, and as part of this effort,working to develop a flexible world-class laboratory that can be used for both research andeducation. The goals of this effort are to: (a) educate a cohort of students from backgrounds incomputing and the domain sciences in the development, deployment, and use of highperformance computing and cyberinfrastructure systems; (b) establish a research facility tosupport discovery in high performance computing, cyberinfrastructure, and bioinformaticsamong a group of faculty and graduate students; and (c) seek new ways to effectively andefficiently share and leverage
final publication, the Spring 2009 is about half complete.At this stage, we are optimistic about the changes we have made to the Dynamic Systems &Control Course.Bibliography1. B. D. Coller, “Implementing a video game to teach principles of mechanical engineering,” Proceedings of the 2007 American Society for Engineering Education Annual Conference. 2007.2. S. S. Rao, Applied Numerical Methods for Engineers and Scientists, Prentice Hall, 2002.3. B. D. Coller & M. J. Scott, “Effectiveness of using a video game to teach a course in mechanical engineering,” (pre-print) 2008, available at www.ceet.niu.edu/faculty/coller4. B. D. Coller and D. J. Shernoff, “Video game-based education in mechanical engineering: A look at student
AC 2009-1603: AN ASSESSMENT STRATEGY FOR A CAPSTONE COURSE INSOFTWARE AND COMPUTER ENGINEERINGRichard Stansbury, Embry-Riddle Aeronautical UniversityMassood Towhidnejad, Embry-Riddle Aeronautical University Page 14.181.1© American Society for Engineering Education, 2009 AN ASSESSMENT STRATEGY FOR A CAPSTONE COURSE IN SOFTWARE AND COMPUTER ENGINEERING Richard Stansbury and Massood Towhidnejad Embry-Riddle Aeronautical University Daytona Beach, FL 32114 {stansbur, towhid}@erau.eduAbstract:The assessment of individual student work on team
at the school.The students who have participated in the program have performed extremely well (Table 2).The grades for the on-campus, full-time registered students are included for the spring 2008semester as a comparison. Analysis of how students with different incoming academicqualifications perform reveals that the current requirements for the Distance Calculus programare sufficient, and that the incoming scores for the small number of students receiving a C orbelow are not distinguishable from students receiving an A or B (data not shown). Table 2—Calculus Grades for Distance and On-Campus Students, 2005-2009 Semester Type # Students A B C D/F/I Withdre
fundamental engineering concepts. Such a study could lead totransformational approaches to repair students’ misconceptions by applying and testing thatontological schema training methods can help repair robust misconceptions, which are resistantto repair by traditional teaching methods.AcknowledgementsWe wish to thank the National Science Foundation for supporting this project: DevelopingOntological Schema Training Methods to Help Students Develop Scientifically Accurate MentalModels of Engineering Concepts (EEC-0550169).References1. Miller, R. L., Streveler, R. A., Olds, B., Chi, M. M. T. H., Nelson, A., and Geist, M. R., “Misconceptions about rate processes: preliminary evidence for the importance of emergent conceptual schemas in thermal and
-B, member-C, member-D,and member-E who are all rating “Hazard Assessment Protocol” competency for OLS 331course. Member-A believes this competency is low priority for this course, so he/she rates as 1.Member-B feels this competency is very important for this course, so he/she rates 3. Member-Cthinks this competency is medium priority so he/she rates 2. Member-D considers thiscompetency is high priority so he/she rates 3. The last member-E considers this competency tobe included in the course so he/she rates as 3. To obtain the final rating score for “HazardAssessment Protocol” competency for OLS 331 would be to add each rating given by eachmember and to divide that total number with the number of members. First of all, one must addeach
# 1. 3. Print every table in a nice tabular form. 4. Write SQL queries to retrieve the same information that you did in project #1. 5. Print the English statement indicating the information that you are trying to retrieve. 6. Print each query and its result to show your DB works correctly. B. Object-Oriented Implementation: 1. Use DB4o to create the necessary classes for your database. 2. Use eclipse(optional) to create objects corresponding to the tuples that you entered in the Object-Relational model. 3. Print all the object of each extent in certain readable form. 4. Write queries to retrieve the same
panel on cyberinfrastructure. http://www.nsf.gov/od/oci/reports/atkins.pdf (accessed March 12, 2009). 16. Ainsworth, S., M. Honey, W.L. Johnson, K. Koedinger, B. Muramatsu, R. Pea, M. Recker, and S. Weimar. 2005. Cyberinfrastructure for Education and Learning for the Future: A Vision and Research Agenda. Page 14.592.13 http://www.cra.org/reports/cyberinfrastructure.pdf (accessed March 12, 2009).17. The National Science Foundation. 2007. Cyberinfrastructure Vision for 21st Century Discovery. http://www.nsf.gov/pubs/2007/nsf0728/nsf0728.pdf accessed (March 12, 2009).18. Borgman, C.L., H. Abelson
perceptions ofbenefits of using case studies. Specifically, the survey asked participants to compare caseteaching method with traditional lecture along nine dimensions related to their learning andengagement. The survey was adapted from previous research conducted by Yadav 7.C. ProcedureThe study utilized a counterbalanced design, where two topics (thermal vs. hydraulic systems)and the method of instruction (case study vs. traditional lecture) were counterbalanced.Specifically, instructor A taught thermal systems topic with case studies while instructor Btaught the same topic using traditional lecture. This was reversed for the hydraulic systems topicso that instructor B taught using case studies and instructor A taught using traditional
purposes. The response rate for this survey was80.2%. A total of 80 students responded to Course Survey 2 and provided consent. Theresponse rate for this survey was 83.3%. Select results from Course Survey 1 are displayed intables below. In addition, Appendix B displays the frequency data and descriptive statistics forthe rating scale items from Course Survey 1. Appendix C displays the frequency data anddescriptive statistics for all items administered during Course Survey 2.How do students use the video lectures?The overwhelming majority of the students reported watching each video that was availableonline. Most students (92%) reported watching the video one time, although many studentsreported reviewing unclear portions of the video. Figure 2