2d Figure 2a: Left exterior still photograph of the HMMWV before the frontal crash. Figure 2b: Left exterior still photograph of the HMMWV after the frontal crash test. Figure 2c: Interior still photograph of the anthropomorphic test dummy before the frontal crash test. Figure 2d: Interior still photograph of the anthropomorphic test dummy after the frontal crash test. B A Figure 3: Plot of the acceleration (in g’s) vs. time for the motion of the anthropomorphic test dummy during the frontal crash test.6 During our video analysis, we observed a maximum head acceleration (Peak “B” in Figure 3
2d Figure 2a: Left exterior still photograph of the HMMWV before the frontal crash. Figure 2b: Left exterior still photograph of the HMMWV after the frontal crash test. Figure 2c: Interior still photograph of the anthropomorphic test dummy before the frontal crash test. Figure 2d: Interior still photograph of the anthropomorphic test dummy after the frontal crash test. B A Figure 3: Plot of the acceleration (in g’s) vs. time for the motion of the anthropomorphic test dummy during the frontal crash test.6 During our video analysis, we observed a maximum head acceleration (Peak “B” in Figure 3
been created. Additionally, upon showing the correct solution to the classit served to help stimulate other student-student interaction across the remote sites. Page 13.539.6 (a) (b) Figure 3: Student answers to class problem: (a) Incorrect Response (b) Correct Response ImplementationWith support from HP, Microsoft, and GTS, Tablet PCs equipped with Dyknow software wereinstalled in two remote classrooms for the Spring and Fall semesters of 2007. A classroom atGTS was fitted with 15 Tablet PCs while a cart of 20 Tablet PCs was used in a classroom
Hahl 7Theoretical Prediction of Failure Load on material with properties shown on Table 1 wasperformed by Hahl on the optimized design using the Tsai-Hill Failure Criterion. Table 1 Values of lamina strengths for E-glass/vinyl ester with vf=30% SL (MPa) ST (MPa) SLT (MPa) Tension 584 43 44 Compression 803 187 64Figure 4 represents the experimental test graph of load versus displacement, Hahl obtained, asthe prosthesis was loaded. A distinct system of cracks was seen in the base of the stiffenersection at a load of 6,600 N. Figure 5 (a) and (b
Revenue Time Investment Expense Diagram B Balance Time Figure 1 Cash flow and Balance DiagramsThe difference between the two scaffolds is in the text below the diagrams in which studentsreflect on the significant principles related to the problem.Problem 1 Scaffold QuestionsDiagram A shows cash flows of different types that could occur each year.Describe the sources and timing of salvage cash flows: Answer:The
this evaluation process can be a goodexperience for students or student teams. We recommend the following process: Page 13.952.5 1. Identify your requirements and preferences, and prioritize them as essential, desirable, or potential useful in the future. include factors such as: a. Language support, particularly if English is not the preferred language. b. Licensing options, particularly if the tools may be used for commercial activity. c. Technology: hardware, operating system, programming language, database. 2. Identify and quickly assess candidate tools. Start with general descriptions, including
America’s Promise. (2007). Washington, D.C.: Association of American Colleges and Universities4. Grasso, D. (2002). Engineering a Liberal Education. Prism, 12(2).5. Sharp, J. E. M. (2007). Live Green or Die - Can Engineering Schools "go green" Fast Enough to Save Our Planet? Prism, 16(8), 38-41.6. Baxter Magolda, M. B., & King, P. M. (2004). Learning partnerships : theory and models of practice to educate for self-authorship. Sterling, Va.: Stylus.7. Association of American Colleges and Universities. (2002). Greater expectations: A new vision of learning as a nation goes to college Washington, D.C.: AAC&U8. Bransford, J. D., Brown, A. L., & Cocking, R. R. (2000). How people learn: brain, mind
including a detailed list of needs, considerations, and compromises. Discuss all design trade-offs balancing ship space, size, and cost with safe and secure helicopter operations. This is a research project; you are expected to demonstrate knowledge beyond that contained in wikipedia or presented in the course notes. Team work is a must. Your grade on Part B will be determined in part by the grades assigned to you by your teammates!Teams of four were assigned by the instructor balancing aerospace engineer/naval architectrepresentation and relative student strengths in each group. While students embraced the teamnature and seemed highly able to resolve conflicts such as where to put the landing deck, if thereshould be a hangar, limitations
AC 2008-131: VARIATION IN COMPUTING THE LENGTH FACTOR IN THEUNIVERSAL SOIL LOSS EQUATIONErnest Tollner, University of Georgia-Athens Dr. Ernest W. Tollner is a native of Maysville, KY and received his BS and MS degrees in agricultural engineering at the University of Kentucky. He did his doctorate at Auburn. His graduate work was concerned with computer modeling erosion control, water resource development and animal waste management. This work provided the foundation for extension into composting, bioconversion and imaging research. Dr. Tollner was among the first to use topographic scanning for charactering soils, food products and logs. Research over the past 25 years at the
44 12.20 4.16 2.55Prime SJSU A Sp 06 69 9.54 3.18 61 11.69 3.39 2.15Prime SJSU A&B Sp 07 90 10.4 3.59 87 12.26 3.94 1.86Mixed Different state C Fa 06 18 10.22 3.22 16 13.75 3.64 3.53 schoolMixed CA CC D Fa 07 18 8.39 3.11 13 9.69 3.20 1.3Trad. SJSU E Fa 05 70* 9.65 3.44 36 11.78 4.31 2.13Trad. SJSU F Sp 06 60 9.56 3.40 50 12.29 3.37 2.73The impact of the modules on student’s motivation to learn was assessed with theInstructional Materials Motivation Survey (IMMS). This is a 36 item instrument inwhich students are asked to
a) b) F Q J J Q M2 M4 M3 M1 M3 M1 M2 R K M4
day Added A 28 20 15,000 24,600 8 1,200 B 44 30 30,000 39,800 14 700 C 40 32 40,000 60,000 8 2,500 D 50 45 60,000 80,000 5 4,000 E 34 24 20,000 36,000 10 1,600 F 24 14 40,000 45,000 10
decision-making processes on students’ success and retention in their fields.Bibliography1. Bodner, G. M, Follman, D. K, & Hutchinson, M. A. (2005). Shaping the Self-Efficacy Beliefs of First-Year Page 13.351.11 Engineering Students: What is the Role We Play? Proceedings of the American Society for Engineering Education Annual Conference. Portland, OR.2. Lent R.W., Brown, S.D., & Hackett, G. (1994). Toward a Unifying Social Cognitive Theory of Career and Academic Interest, Choice and Performance. Journal of Vocational Behavior, 45, 79-122.3. Lent, R. W; Brown, S. D., Sheu, H., Schmidt, J., Brenner, B. R
in a different way; and b) embrace textured, reflective written expression of research findings.Furthermore, we had to learn to build bridges between the social science world we are adoptingand the engineering world in which we live by: c) preparing for the timeline of qualitative research; and d) strategically framing qualitative research questions for engineering audiences.One way to add the social science skill set to engineering education is to use social scientists asconsultants. While this would undoubtedly improve the quality of engineering education researchto some degree, we would predict that the process will be more satisfying, the product will be
Perch Project Grade Activity Level National Science Content Standard U A B C D E F GBuilding the Frame 9-12 X X X - measurement - design - buoyancyBuilding the Motors 9-12 X X X X - motor movement - vectors - soldering - water proofingBuilding the Control Box 9-12 X X X X - circuits and switches - reading wiring diagrams - ergonomic designExperiments/Field UseBuoyancy Activity 9-12 X X X XStudent Design Modification
, ASEE, 2005 2. Giolma, J. and Nickels, K, “Herding Cats: a case study of a capstone design course”, Proceedings of the 2002 ASEE Annual Conference and Exposition, ASEE, 2002 3. Dixon, M., “Alternatives for Establishing Effective Capstone Design Teams”, Proceedings of the 2002 ASEE Annual Conference and Exposition, ASEE, 2002 4. Kline, A and Aller, B., “Involving Industry in Capstone Design Courses: Enhancing Projects, Addressing ABET issues, and Supporting Undergraduate Engineering Practice”, Proceedings of the 2002 ASEE Annual Conference and Exposition, ASEE, 2002 Page 13.1068.11 5
, b. integrate knowledge with other fields and within subfields of engineering education research, and c. apply new knowledge to the solution of practical problems in engineering education both directly and by encouraging broad dissemination and use of the knowledge base 3. Develop mechanisms for identifying and pursuing research questions relevant to any and all elements of systems of engineering education. 4. Develop research tools and instruments that will aid in the development of a continually replenished body of knowledgeIt is probably to be expected that these categories correspond to the People, Ideas, and Toolsconstruct previously used by NSF in
assesses the effectiveness of changes made to somelearning modes. In addition to the student survey results, instructing faculty personal opinions of learningpotential and level of engagement for each mode are included along with faculty predictions of how thestudents would respond from their learner’s perspective. The data was used to establish how well we aseducators know our students. Results were evaluated to determine if (a) our prediction for an activitymakes a difference in how the students rate a learning mode for learning potential and level ofengagement and (b) if any mismatch exists in what we think and what they rate. This work providesexamples of the student and faculty surveys, proposes solutions, provides assessment to components
Page 13.523.8needed, the program director solicited the expertise of the other participating faculty members.Uganda Site Visit In November of 2007, Into Your Hands coordinated student travel to St. Denis for sitereconnaissance. The student team met the staff of St. Denis, assessed the educational facilities,obtained water samples for analysis, and collected preliminary geophysical measurements forhydrological exploration. Figure 2 depicts a) Colorado School of Mines students collectingglobal positioning satellite data to map the buildings within the St. Denis community, b)Colorado School of Mines students obtaining DC resistivity measurements to analyze subsurfaceconductance indicative of groundwater flow, c) a St. Denis student
level of uncertainty. Metrology regulations form the basis for national andinternational trade—we trust that a gallon of gas sold at gas station A is the same quantity as agallon of gas obtained down the road at gas station B, mainly because we know that legalmetrological requirements have to be enforced by the state by law. The same applies tointernational trade. How else can we be sure that a volt measured with a voltmeter produced inthe United States is the same quantity measured by a voltmeter produced in Germany (takinginto account the two instruments’ specifications, of course)? The lack of such assurance wouldbe a large obstacle to global trade.The need for international agreements on measurement units and standards as the basis for
. International Journal of Information Management, 26(2), 128-141.6. Marshall, J., & Heffes, E. M. (2006). Surveys: Data losses spur consumer flight. Financial Executive, 22(1), 10.7. Lewis, D. (2005). Personal disaster recovery software: An essential part of business disaster recovery plans. Computer Technology Review, 25(6), 10.8. LaPage, A. & Gaylord, K. (2003). Protect against data loss with W2K’s backup utility. Windows Professional, 8(2), 8-12.9. Freeman, E. Q. (2000). E-merging risks: Operational issues and solutions in a cyberage. Risk Management, 47(7), 12-15.10. Eckert, B. (2006). Protect computerized data with off-site backups. Nursing Homes, 55(5), 42.11. Duke, B. (2006). Data security: behind the
6. The fuel cell was used to power the propeller.The result was a fuel-cell powered boat that consistently produced a 0.63V for over 3minutes.Program OutcomesThe classes have been offered for over 7 years. The following data is summarized basedon this year’s (2007) exit interview of graduating students to observe the recent feedback.About 20 students were surveyed, and 10 feedbacks were received. The assessment isbased on the expected program outcomes. Two sets of questions were asked: A) How important is it to you? “Check a number between ‘1’ and ‘5’, with ‘1’ being not important, and ‘5’ being very important.” B) How effective is this program? “Check a number between ‘1’ and ‘5’, with ‘1’ being not effective, and ‘5
student success is one way to have a positiveimpact on student performance in a class.Bibliography1. Gardner, M., ed. Toward a Scientific Practice of Science Education. Hillsdale, NJ: L. Erlbaum Association, 1990.2. Bentley, D., Watts, M., eds. Learning and Teaching in School Science: Practical Alternatives. Milton Keynes, Philadelphia: Open University Press, 19943. Yung, B., Assessment Reform in Science. Dordrecht, London: Springer, 20064. Wollnough, B., Effective Science Teaching. Buckingham, Philadelphia: Open University Press, 1994.5. Mintzes, J., Wandersee, J., Novak, J., eds. Assessing Science Understanding : A Human Constructivist View. San Diego, Calif., London: Academic, 2000.6. Schoenfeld, A., “Beyond the Purely
and no two Page 13.594.2samples are identically configured. Î F i g u r e 1 u a l r i g i d b o d y s a m p l e a n d i s o r r e s p o n d i n g s o l i d b o d y m o d e l A c t t cThe students begin by using analytical methods to determine Ixx, Iyy, and Izz about the mass centerof the sample. This requires first estimating the
using it in STAR-CCM+. The axisymmetricmodel in STAR-CCM+ is only for 2-D meshes with restriction on the orientation of the mesh.The restriction requires that the axis should be at y = 0 in the global coordinate and no part of themesh can be below y = 0, as shown in Fig. 2 (b). When students had problem with theaxisymmetric model, they used the 2-D model which could give them results. Students wereeasily satisfied with the parabolic velocity profile for a flow between two plates which wassimilar to that in a circular pipe. During the validation process, they compared the CFD resultswith the theoretical values of the maximal x-direction velocity and skin friction coefficient infully developed region. They found there were 25% difference between
mathematics overhead andallows the novice professional to see the concepts without either investment in the analyticaloverhead nor in the extensive set of second-order parameters reflected by the parameter setsfor these advanced device models.The simplest model of the MOS transistor is represented by figure 1.1, and identifies theessential operation of the device and minimum set of device parameters. (a) 4-terminal schematic symbol (b) physical cross-section Figure 1.1. MOS device cross-section and circuit symbol.The device cross-section is the basis for the symbol and emphasizes that the device is a field- Page 13.807.3controlled
probe studentmisconceptions4. Coupling concept inventories with interviews to better understandstudent misconceptions is now emerging in engineering as well1,19.A few years ago, colleague Adeeb Rahman, student Josh Bostwick, and I conducted aseries of student interviews20. We did not publish the results, which I summarize here.We selected three students who had completed Dynamics whose final grades were A, B,and D (the D-student was viewed to be an under-achiever). Each student was asked tosolve four homework-type problems (one per week) from Statics and Dynamics in astructured interview format in our presence. Working under the premise that studentslearn, in part, through being allowed (and even encouraged) to pursue their ownerroneous
error for all measured dimensions was found to be less than 2%. Theerror may be due to work material (blue wax), cutting tool, and improper part set up by the student team. (a) (b) Figure 5. (a) Design of a spline with 12 grooves; (b) Spline with 12 grooves (part made) Table 2. Absolute Percentage Error (APE) Measurement Desired Tolerance Actual APE Groove length 2.50 in ± 0.05 in 2.538 in 1.52% Groove width 0.25 in ± 0.005 in 0.253 in 1.20% Groove depth 0.25 in ± 0.005 in
error for all measured dimensions was found to be less than 2%. Theerror may be due to work material (blue wax), cutting tool, and improper part set up by the student team. (a) (b) Figure 5. (a) Design of a spline with 12 grooves; (b) Spline with 12 grooves (part made) Table 2. Absolute Percentage Error (APE) Measurement Desired Tolerance Actual APE Groove length 2.50 in ± 0.05 in 2.538 in 1.52% Groove width 0.25 in ± 0.005 in 0.253 in 1.20% Groove depth 0.25 in ± 0.005 in
error for all measured dimensions was found to be less than 2%. Theerror may be due to work material (blue wax), cutting tool, and improper part set up by the student team. (a) (b) Figure 5. (a) Design of a spline with 12 grooves; (b) Spline with 12 grooves (part made) Table 2. Absolute Percentage Error (APE) Measurement Desired Tolerance Actual APE Groove length 2.50 in ± 0.05 in 2.538 in 1.52% Groove width 0.25 in ± 0.005 in 0.253 in 1.20% Groove depth 0.25 in ± 0.005 in