evaluate the field trips. Results ofquestion 4 are shown in Figure 2. FU SE - Sum m er 2004 F IE L D T R IP E V A L U A T IO N F O R M F ie ld T r ip t o :_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ D a te: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 1. T h e m o s t im p o r ta n t th in g I le a r n e d fr o m p a r tic ip a tin g in th is fie ld tr ip w a s :_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 2. T h is fie ld tr ip c a n b e im p r o v e d if_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 3. D id th is fie ld tr
Engineering Technology program must demonstrate that graduates have: (a) an appropriate mastery of the knowledge, techniques, skills and modern tools of their disciplines, (b) an ability to apply current knowledge and adapt to emerging applications of mathematics, science, engineering and technology, (c) an ability to conduct, analyze and interpret experiments and apply experimental results to improve processes, (d) an ability to apply creativity in the design of systems, components or processes appropriate to program objectives, (e) an ability to function effectively on teams, (f) an ability to identify, analyze and solve technical problems, (g) an ability to communicate effectively
employment and wages, http://www.bls.gov/news.release/pdf/ocwage.pdf, 20043. Carrington, D., Kim, S., Teaching software design with open source software, 33rd ASEE/IEEE Frontiers in EducationConference, 3, S1C-9 –14, 2003.4. Cooper, A. (1999). The Inmates are running the asylum, Sams Publishing, Indianapolis, IN.5. Cusumano, M., MacCormack, A., Kennerer, C.F., Crandall, B., Software development worldwide: The state of the practice,IEEE Software, November/December 2003, 28-34.6. Fernandez, J.D. (2005). Human-computer interaction closes the software engineering gap, Computers in EducationJournal, vol. XV, no. 3, July – September 2005, 96-100.7. Fernandez, J.D. (2004). Engaging students with community organizations by using computer technology, SIGITE
Science from North Carolina A & T State University.Shona Morgan, North Carolina A&T State University Shona Morgan is an Assistant Professor in the Department of Business Administration at North Carolina A&T State University. She received her B. S. from Spelman College, and M. S. and Ph. D. in Industrial Engineering from North Carolina State University.Silvanus Udoka, North Carolina A&T State University Silvanus J. Udoka is an Associate Professor with a joint appointment in the Department of Industrial and Systems Engineering and the Department Business Administration at North Carolina A&T State University. He received his B. S. from Weber State University, and M. S
Recognition, Article Published by HTG Systems.[3] Joyce, R. and G. Gupta, “Identity Authentication Based on keystroke Latencies,” Communications of ACM,Volume 33, Issue 2, ( February 1990). Retrieved on 8th March 2005.[4] Kung, S., Biometric Authentication: A Machine Learning Approach, First Edition , Published by Prentice Hall,PTR.[5] Obaidat, S. and B. Sadoun, Verification of Computer users using Keystroke Dynamics,” IEEE, Volume 27,Issue 2, (April 1997). Retrieved from IEEE on 16th February 2005.[6] Peacock, A., Learning User Keystroke Latency Patterns, acquired fromhttp://pel.cs.byu.edu/~alen/personal/CourseWork/cs572/KeystrokePaper/index.html [7] Umphress, D., and G. Williams, Identity Verification Through keyboard Characteristics
theretention and graduation rates of underrepresented STEM students. Furthermore, this project willhave positive impact on the number of underrepresented STEM students who enroll in thegraduate programs. Page 11.1010.105. AcknowledgementWe would like to acknowledge the National Science Foundation for supporting the NC-LSAMPproject.6. References1. Oguntimein, G. B., Leigh-Mack, P., Davy, B., and Wheatland, J.(2004), “Research experience program for undergraduates in a Historically Black College and University.” Proceedings of the 2004 American Society for engineering Education Annual Conference & Exposition.2. Mervis, J. (1998), “Wanted: A
. Page 11.1354.6 Figure 2: Two Degree-of-Freedom, State-Coupled, Two-Tank SystemThe nonlinear mathematical model describing the liquid levels of Tanks 1 and 2 is given by5 Lɺ1 (t ) = − A L1 (t ) + BV p (t ), (3.1) Lɺ (t ) = C L (t ) − D L (t ) , 2 1 2 (3.2) a1 Kp a awhere A ≜ 2g , B ≜ , C ≜ 1 2 g , and D ≜ 2 2 g , a is the cross-sectional area of A1 A1 A2 A2 ithe outflow orifice at the bottom of the Tank
Composite Materials”, Oxford University Press2. Strong A. B.; 1989, “Fundamentals of Composite Manufacturing: Materials, Methods, and Applications”, Society of Manufacturing Engineers3. BGF Industries, Inc.; “http://www.bgf.com/cchart.htm4. Hexcel Corporation, Inc.; “http://www.hexcelfibers.com/Markets/Products/Continuous /_Productlist.htm”5. The Dow Chemical Company, Inc.; “http: /www.dow.com/ derakane specific/product/ 411-350.htm”6. Kelkar Ajit D. and Tate Jitendra S.; 2002, “Low Cost Manufacturing of Textile Composites Using Vacuum Assisted Resin Transfer Molding”, All India Manufacturing Design and Research Conference, Ranchi, India, December 2002
rolling average in Figure 3indicates an overall improvement in attendance.Figures 2 and 4 present the data collected for Class B. This section was not informed of thefrequency of quizzes other than by general statements that were made in the syllabus and verbalstatements made during the initial class meeting. The students knew that quizzes would begiven, but there was no indication that the frequency of these events would be variable. Theattendance was relatively steady during the period leading up to the first test, after which it beganto drop significantly as shown in Figure 4. The minimum attendance is reached during this firstperiod, when the frequency of quizzes was at a high for the term. After the second test the
mapped to the ABET required outcomes a through k. Initially, the FE resultswere used to assess the following outcome as adopted by the faculty and constituents of the UTMartin Engineering Department: Outcome C: At the time of graduation, graduates will have an ability to formulate and perform basic engineering analyses.Following an ABET visit in February of 2005, the faculty modified the outcome as follows: Outcome B: At the time of graduation, graduates will have an ability to formulate and perform basic engineering analyses and economic assessment.Since all UT Martin engineering students are required to pass the FE prior to graduation, this testprovides a basis to evaluate the student’s ability to formulate and perform
demands for the 21st century predicted by the United States Bureau of LaborStatistic be met1.DelimitationsThe sample for data collection is delimited to electronics students at DeVry University’s Chicagoarea campuses. Electronics students are sampled from the five trimesters of Electronics andComputer technology (ECT) and nine trimesters of EET/CET departments.Research QuestionsThe following are the research questions for the proposed study: 1. On self-confidence: a. Is there a significant difference between the genders of students in electronics programs at DeVry University’s Chicago area campuses in regard to self- confidence? b. Is there a significant difference between the program levels in electronics
assembled into any varietyof products. We chose to develop the “Wagons-R-Us” product line (see appendix A andFigures 1B to 4B in appendix B) in which a series of wagons have been designed andbuilt and are used as a model of activity through a series of courses. The K’Nex parts are widely available, reusable, relatively inexpensive, and can beconfigured into any number of products. The variety of components available allows thecomplexity of the problems to increase over time as the student advances from one courseto the next. Couple this product with the use of Creform building materials3 to createthree-dimensional, life-like workstations and you have the basis for the construction of a
shortcomingsand strengths of the students within a class. The self assessment questions were: 1) When it comes to using email, I am; 2) When it comes to searching the web, I am; 3) When it comes to building spreadsheets, I am; 4) When it comes to writing documents with a word processor, I am; and 5) When it comes to developing computer programs, I am.There were five possible answers to the self-assessment questions: a) not at all confident; b) not Page 11.603.5very confident; c) average; d) confident; and e) very confident. There were values assigned tothe answers of the self-assessment questions with one for not at
Wendy J. Harrison, Ruth A. Streveler, Ronald L. Miller, and Arthur B. Sacks Colorado School of MinesAbstractThis paper describes the process by which the curriculum of the award-winning Guy T. McBrideHonors Program in Public Affairs of the Colorado School of Mines (CSM) is being redesigned.Best practices in curriculum development have been followed (e.g., developing a clear missionstatement with measurable outcomes; aligning course-level learning objectives with Programoutcomes and expected attributes of CSM graduates; establishing an implementation matrix toorganize topics and content into a logical course sequence; embedding assessment processesthroughout; and engaging the broad participation of Program faculty
., Tropea C., (1997) Special Issue: Particle Image Velocimetry, Meas. Sci. and Technol. 8, 12.8. Willert C., Raffel M., Kompenhaus J., Stasciki B., Kaehler C. (1996) Recent applications of Particle Image Velocimetry in Aerodynamic Research, Flow Meas. Instrum., 7, 247-256.9. Stanislas M., Westerweel J., Kompenhans J, (2003) Particle Image Velocimetry: Recent Improvements, Springer.10. Goharzadeh A., Khalili A. and Jorgensen B. B., (2005) Transition Layer at a Fluid-Porous Interface, Physics of Fluids, 17.11. Goharzadeh A., Saidi A. and Khalili A. (2006) An Experimental Investigation of the Brinkman Layer Thickness Page
calibrating the instrumentation.The class was divided into two teams: Team T: raising a simulated Tower and Team I:Instrumentation characterization and calibration. Team T designed and built the simulated towerwhich consisted of a 10m tall 4-inch diameter ABS tube assembly with guy wire attachments andhinged to a base. The details are described in the sections below. Page 11.1375.9The class had two major goals and associated sub-goals. Goal 1. Wind Assessment Tower installation, calibration and operation. a. Simulated tower design b. Simulated tower erection process design and equipment collection. c. Material selection
similar programs. Timeline for the Evaluation Activities: During the first year of the project, questionnairesfor the baseline data will be developed. In addition, the project evaluator will work with thecourse teachers to (a) identify all major learning goals (e.g., knowledge, application) and then(b) develop assessment procedures for appraising each kind of learning. At the end of eachcourse, two tasks were completed: student learning was assessed by the written methods andthe professors were interviewed. The latter information was used to determine such things ashow satisfied the teachers were with the level of student learning and whether the work loadinvolved in teaching the course was within acceptable limits.Outreach Assessment
mistakes” inthis paper has been illustrated using a thermodynamics example. Certainly, anylaboratory experiment can be “saved” and even improved upon by the instructor whomay even help the educational process along by intentionally compromising (perhaps“sabotaging” the experiment is too harsh a description) the system. The experiment canthen be turned into a project that either improves the existing apparatus or, as discussed inthis paper, encourages the students to devise their own design that can be built and tested.In the view of the authors there is not a better way to train engineering and engineeringtechnology students to expect to conduct “hands-on” application of their diverse classroom instruction. Figure 4 a and b. Final
student community.Although each section of the course hosts a different technical design project, the course contentis standardized between sections to address the ABET outcomes 4: a. An ability to apply knowledge of mathematics, science and engineering; b. An ability to design and conduct experiments, as well as to analyze and interpret data; c. An ability to design a system, component, or process to meet desired needs; d. An ability to function on multi-disciplinary teams; e. An ability to identify, formulate, and solve engineering problems; f. An understanding of professional and ethical responsibility; g. An ability to communicate effectively; and h. The broad education necessary to understand the impact of
2006-1278: USING REFLECTIVE ESSAYS AS PART OF A MIXED METHODAPPROACH FOR EVALUATING A FRESHMAN LIVING-LEARNINGCOMMUNITY FOR ENGINEERING AND SCIENCE STUDENTSJennifer Light, University of Washington Jennifer Light is a 2005 Ph.D. graduate in Engineering Education from Washington State University and was recently awarded a National Academy of Engineering post doctoral appointment with the University of Washington Center for Engineering Education. She is the author of several publications on engineering learning communities and assessment.Laura Girardeau, Washington State University Laura Girardeau, M.S., is a Learning Designer at Washington State University’s Center for Teaching, Learning, and
2006-1188: PROVIDING ENGINEERING STUDENTS A GLOBAL PERSPECTIVETHROUGH A PROJECT FOR DEVELOPING COMMUNITIES – LESSONSLEARNED AT THE UNIVERSITY OF HARTFORDDavid Pines, University of Hartford David Pines is an Associate Professor of Civil and Environmental Engineering at the University of Hartford. He completed his Ph.D. studies in the Department of Civil and Environmental Engineering at the University of Massachusetts, Amherst in 2000. He is actively involved with student projects sponsored by environmental engineering firms, municipalities, and water utilities.Brian Gallant, University of Hartford Brian Gallant is an undergraduate mechanical engineering student at the University of Hartford
analyticalaxis yet scored high along the conceptual. These data suggest students possess differing abilitiesin at least two knowledge categories. 1 0.9 0.8 0.7 MEE Average 0.6 0.5 B 0.4 C A 0.3 0.2 0.1 0
11.862.6exercises and subsequent written reports had been completed (but before they were graded).Prior to distributing the survey, the instructors did their best to stay opinion-neutral toward thestudents as to the effectiveness of the RC as a learning tool; the students were made aware thatthis was a testing phase of the RC. Much of the survey was quantified using a 5-point Likertscale, but written responses were also gathered. While many different experiments are possiblewith the RC (see LTU sample laboratory assignment in Appendix B), the survey is generalenough that it is likely applicable to any college using the unit. Questions asked on the surveyare shown in Appendix C. The results compiled in this paper are derived from 19 LTU studentsurveys and
society (in our case, ASME). We have tagged ABETgeneral program outcomes as shown in Table 1 and ASME discipline-specific outcomes asshown Table 2. Table 3 shows how the required mechanical engineering courses in ourcurriculum (ie excluding the technical elective courses) map into ABET and ASME outcomes. Table 1. Tags for ABET Outcomes under its Criterion 3 a.1 Ability to apply knowledge of mathematics a.2 Ability to apply knowledge of science and engineering. b Ability to design and conduct experiments, and to analyze and interpret data c Ability to design a system, component and process to meet desired needs. d. Ability to function on multidisciplinary teams. e Ability to identify, formulate and
wirelessly through aportable device to a base station for analysis and storage. The data is transmittedwirelessly through a modem, received by a personal computer, and analyzed through theuse of different software programs. The paper also presents test results of a practicalexample.IntroductionData logger units are versatile equipment used in today’s industry and is being taught inmany engineering and engineering technology curricula [1-4]. Such units provide usefulinformation that allows an analyst to perform a variety of tasks, including: (a) Creatingmodels, testing prototypes, analyzing results, and adapting to changing test andmeasurement needs, (b) Validating product concepts and ensuring product durability,functionality and safety, (c
. As the computer science students generally have limited experience inmechanical system design and fabrication, it was believed that the marionette system could beimproved with the involvement of MMET students. (a) Front view (b) Side view Figure 1 The marionette prototype developed by CPCS 462 studentsInterdisciplinary CollaborationRecognizing the students from different programs can have complementary skills, the Page 11.1267.4interdisciplinary collaboration was organized to develop a marionette system from scratch. Theproject consisted of three major components: 1) mechanical
11.262.6 Figure 5. Layout for Workcell with One Robot. (a) (b) Figure 6. (a) Design Alternatives; (b) Close-up of Selected Design Alternative.3. MethodologyA prototype version of the toolkit was evaluated by 27 undergraduate students in Fall 2005. Theobjectives were to find out:‚ Can student translate a series of operations into a network structure?‚ How do students use the toolkit? Can they enter data into toolkit?‚ Student opinions about various aspects of the toolkit, such as effectiveness, ease-of-use, and relevance to their education.‚ Student commentsIn addition, a learning styles inventory was administered to find out more about these
)] Criterion 3. (b) Criterion 3. (d) Criterion 3. (h) Criterion 3. (k) Criterion 3. (a
2006-1693: COMPUTER SCIENCE RECRUITING AND RETENTION OFUNDERGRADUATES TO MEET THE NEEDS OF THE BUSINESS COMMUNITYJohn Fernandez, Texas A&M University-Corpus Christi Dr. Fernandez is Assistant Professor of Computer Science in the Department of Computing and Mathematical Sciences. Having served 20 years in the U.S. Air Force and 10 years in private industry, Dr. Fernandez brings real-world experiences into the classroom for his students. His research interests are in HCI, information assurance, and software engineering.Phyllis Tedford, Texas A&M University-Corpus Christi Mrs. Tedford is an Instructor of Computer Science in the Department of Computing and Mathematical Sciences. She
2006-1700: MEASURING USER SATISFACTION BY DETECTING ANDMEASURING EMOTIONSJohn Fernandez, Texas A&M University-Corpus Christi Dr. Fernandez is Assistant Professor of Computer Science in the Department of Computing and Mathematical Sciences. Having served 20 years in the U.S. Air Force and 10 years in private industry, Dr. Fernandez brings real-world experiences into the classroom for his students. His research interests are in HCI, information assurance, and software engineering.Phillip Wilson, Texas A&M University-Corpus Christi Mr. Phillip Wilson is a graduate assistant at Texas A&M University – Corpus Christi. He has a BS in Computer Science and Mathematics and is currently