benefits experienced by thelocal community. It has been found that the region’s businesses experience increases in revenuefrom students’ families who often accompany the student for the entire week and book rooms inlocal hotels and B&Bs, patronize restaurants, and so forth. In addition, at the conclusion of theday’s academic events, our students tend to congregate/socialize at local establishments – muchlike bricks and mortar undergraduate students. These activities create such a spike in demandthat area businesses request that they be notified well in advance of our scheduled events so thatthey may increase inventory accordingly.And finally, the pleasant atmosphere of a college campus in summer can play a key role indeveloping “legacy
AC 2009-1473: LEARNING MECHATRONICS THROUGH GRADUATEDEXPERIMENTATIONJohn Rogers, United States Military Academy John Rogers received the B. S. degree in aerospace and ocean engineering from Virginia Tech in 1986, and the M.S. degree in mechanical engineering from Montana State University in 1993, and his Ph.D. degree in mechanical engineering at Rensselaer Polytechnic Institute in 2003. Dr. Rogers is an Assistant Professor at the United States Military Academy. His research interests are design of mechatronic and robotic systems, and modeling of dynamic systems. Dr. Rogers is a registered professional engineer.Robert Rabb, United States Military AcademyChristopher Korpela, United States Military
professional shortcomings, (b) growth plans, o Quality of achievement development and (c) criteria for success. criteriaGrowth Prompt and give Describe: (a) steps taken, (b) o Progress to-dateProgress feedback on (individual) evidence of impacts achieved, (c) o Quality of evidence progress and revised next steps for achieving o Quality of new steps plans for professional professional development. development
Engineering, Integrated Product and Process Development, and Supplier Sourcing7. IT Governance Institute -COBIT v.48. Baig M., Bisharat, S. A & Maqsood, A maturity model for quality improvement In higher education.9. Holland, C.P., Light, B. A stage maturity model for enterprise resource planning systems use, 200110. Fisher, D.M,, The business process maturity model: A practical approach for identifying. opportunities foroptimization, BP Trends, 200411. Marshall, S. & Mitchell, G. (2004), Applying SPICE to e-learning: an e-learning maturity model?12. Lutteroth C., Luxton-Reilly A., Dobbie G., Hamer J.A maturity model for computing education, 2007.13. Neuhauser, C., A maturity model: Does it provide a path for online course design? The Journal
the second semester of the third yearby the course Mechanical Engineering Design (ME 392) and, in the senior year, by the two-semester capstone design sequence (ME 493/ME 494).Departmental Course Review Process and ABET AccreditationABET requires that accredited engineering programs show that their graduates attain certainabilities, understandings, knowledge and recognitions. These characteristics are listed in thedocument Criteria for Accrediting Engineering Programs2 and are commonly referred to as“3(a-k).” As stated in the criteria: “Engineering programs must demonstrate that their students attain: (a) an ability to apply knowledge of mathematics, science and engineering; (b) an ability to design and conduct experiments, as well
handwritten answer anonymously, so the instructor can provide immediate feedback based on the submitted answers to reinforce the students’ understanding of the course material. In Figure 3(b), the student was learning about the functionality of the Basys Xilinx FPGA board by downloading and playing a simple “PingPong” game on the FPGA board. Accordingly to our classroom experience in Fall 2008, Tablet PC based PBL was effective to improve the teaching efficiency. As a result, we were able to cover the same course material although adding in-class project did cost some instructional time. (a) (b)Figure 3. Tablet PC based PBL in EE244 classroom: a) Students use
systematic use of technology actually helpsinstructors address perceptual dimensions of learning. Technology should not beviewed just as a growing trend; rather it must be intelligently implemented as avaluable instructional tool that can accommodate diverse learning styles of 21stcentury students. (Watkins, 2005). It is important to acknowledge that studentslearn better when alternative modes of information processing are made availableat college campuses. Dr. Walter B. Barbe, a nationally known authority in thefields of reading and learning disabilities has shown that perceptual modalitystyles provides an indication of an individual’s dominant learning mode. Thedegree of processing speed, accuracy and retention that an individual is able
initial velocity vo at an angle from the horizontal. The height of the artillery piece (h), is known. Write all the necessary equations you would use to solve for the range (L) to the impact point at point B. DO NOT SOLVE. g 8 (Picture only)Figure 1. Example projectile motion examination question utilizing the “no numbers”methodology In addition, follow on questions can be used to further emphasis the concept. For theparticular problem in Figure 1, a logical follow on
. Page 14.200.61. Introduction a. Syllabus and course outline b. Lab reports c. Lab notebooks2. Good Laboratory Practices a. Health and safety b. Recording data c. Data handling d. Analyzing data (including MATLAB)3. Cellular and Molecular Biotechnology a. Introduction to the Biological Lab i. Pipetting exercise ii. Sterile technique b. GFP Transformation into Bacteria (E. coli)4. Bioinstrumentation a. Data acquisition basics b. Measure and analyze EKG (Electrocardiography) signals5. Bioimaging a. Collection of biological images b. Techniques for image analysis c. Biomedical and clinical applications6. Biomaterials a. Use photopolymerizable monomers
.; Houghtalen, R.; Hanson, J., Engineering REU Sites: Designing for Appropriate and Valuable Summer Educational Experiences. In American Society for Engineering Education, 2005.2. Martin, C.; Bratton, B.; Dillard, D.; Ellis, M.; Bump, M., Incorporating a Learning Community Approach to Enhance a Fuel Cell Research Experience for Undergraduates (REU). In American Society for Engineering Education, 2008. Page 14.343.83. Hancock, M. P. a. R., Susan H., Research Experience for Undergraduates (REU) in the Directorate for Engineering (ENG):2003-2006 Participant Survey 2008.4. Russell, S. H.; Hancock, M. P.; McCullough, J
in URPs on research self-efficacy among economically disadvantaged undergraduate Page 14.244.2students of color who attend predominantly White institutions (PWIs). Specifically, two researchquestions guided the analysis: (a) What is the relationship between research-related activitiesassociated with URP participation and students’ research self-efficacy? (b) What is therelationship between specific research-related activities and students’ research self-efficacy,controlling for differences in background traits?MethodThis study is part of a larger, longitudinal study titled, Investigating the Critical Junctures:Strategies that Broaden
classes), the performance between thegroups were statistically the same, showing that the treatment section normally was asacademically capable as the control sections.DiscussionBased on the survey results, there is clearly some concern as 30% of the students self-evaluatedthat they learned less through podcasting (survey question 1). This perceived decrease inlearning is likely attributable to (a) the lack of peer and instructor interactions, as evidenced bythe responses to survey questions 2 and 3, and (b) the reportedly lower motivation level to watchthe podcasts (survey question 5). This inference is supported by the free responses from thestudents, which frequently cited these two factors as negative aspects of learning throughpodcasting.At
Engineering Department at RHIT will pilot a set of similar CPR modules within a senior design sequence. Result from these field-tests will be widely disseminated. ≠ Assessing Student Achievement: The external evaluator will help project faculty develop CPR assessment instruments for their courses and will help to determine overall student achievement. These materials will be made available to a broad range of constituencies.WORKS CITED1. Bloom, B., Englehart, M., Furst, E., Hill, W., & Krathwohl, D. Taxonomy of Educational Objectives: The Classification of Educational Goals. Handbook I: Cognitive Doman. New York: Longmans-Green, 1956.2. Carlson, P. A., & Berry F. C. Using computer-mediated peer
” or “shared by compartmentswithin the network”. To quantify this property, we focus on particles that are storedwithin a compartment at a given time. As illustrated in Figure 1, NPT provides thepathway history of each particle; therefore we know how many other compartments aparticle has been to previously. Note that this value can be very high, depending onhow much cycling occurs in the network. For each compartment in the network, wecreate a histogram of these values based on all particles residing in that compartment(See Figures 3a, b and c). For example, the value (x,y)=(12, 71) on the histogram forDetritus compartment represents the fact that there are 71 particles residing in Detrituscompartment that has previously stopped by other
advanced environmental surveys will be used to increase statisticalsignificance of the results. While the long term goal is to incorporate explicit discussion ofsustainability and environmental impacts, the preliminary results described here demonstrate thatBID holds promise as an approach for improving environmental ethics of engineering students,and further examination of the subject is recommended. Page 14.1221.6Bibliography1 Frank G. Splitt, "Environmentally Smart Engineering Education: A brief on a paradigm in progress," Journal of Engineering Education 91, 447-450 (2002).2 B. Berkovski and C. M. Gottschalk, "Strengthening human
Page 14.1061.4 operating conditions in a theory-to-practice approach. (narrowing the understanding gap between theory and practice)Figure 1 illustrates examples of four simulations of the “Wireless Fundamentals” module. B A C DFigure 1 Simulations shown above are designed for virtual exploration of signal reflection anddistortion effects. Using the drag and drop option (on the simulations A and C), a student can move thecar around a parking lot and to see the effect of different reflections from surrounding buildings on thesignal shape, phases, and
test, wheredata are transmitted from the base module, the remote module receives and retransmits databack, and the base module picks the data and compares with the data sent. In every test run, thebase module sends out 1000 identical data messages, each with 32 characters in length. Thetimeout value for data reception is set as 100 msec. Loopback to PC adaptor (a) base module (b) remote module Figure 3. The measurement test-bedTest 1: Coexistence with 802.11 in an apartment scenarioThe first set of tests was performed in
Page 14.1155.3definition of the term which has received a lot of attention at the university in recent years. (a) (b) Figure 1: Google Earth images showing spatial location of five ponds utilized for group project. (a) Ponds 1-4 relative to community Pond 5. (b) Spread of Ponds 1-4 on the University of South Florida campus.Given the structure of the course, Y5 is conducted every Tuesday and Wednesday afternoon forthe first ten weeks of class at one of the ponds closest to the laboratory (usually Pond 2 or 3).Project ComponentsThe class project then builds on Lab Y5 by expanding the number of ponds studied to five, thetime
schedule and is the only fully co-operative university in the US.8Students are divided into two sections called “A-section” and “B-section,” which rotatebetween school and co-op work terms every three months. A-section starts with a “schoolterm” and, simultaneously, B-section starts with a co-op or “work term.” Therefore, whileA-section is at school, B-section is at work, and then vice versa. The two sections are notpresent on campus at the same time and go through their academic careers as basicallytwo separate student bodies. There are four terms: Summer, Fall, Winter and Spring.Summer term begins in July, and Spring term ends in June.Once a set of learning outcomes is determined, educational activities can be designed forthe co-op work site
paper focuses on the student component ofthe second week of the workshop, which was primarily designed to introduce high schoolstudents to the career possibilities in IT. The list below outlines the types of educational activitiesin which all students participated: 1. Guest Speakers a. IT Healthcare b. Digital Forensics c. Mobile Forensics d. IT Career Opportunities e. IT & Robotics f. Early IT Careers Panel g. Telecommuting & IT h. IT Professional Do’s and Don’ts i. Visualization Lab Tour 2. Hands-on, computer-based sessions a. Alice introduction b. Diet management with cell phones c. Computing tools to support healthcare
the following features: a) A simple and user friendly interface for the exclusive purpose of creating and viewing oral presentations in real time (w/ PowerPoint and a webcam). b) No video or audio editing capabilities. Most commercial video software enables the user to edit video, including clipping, joining, and formatting video and audio. Editing video/audio is contrary to the premise of helping the user improve oral presentation skills. Without editing capabilities, the presentation becomes closer to how live presentations are given. c) A system to evaluate presentations, enabling the presenter to receive both technical and presentation skills feedback. d) The ability to quickly create a mobile device
published papers, articles, books, or accepted licensing examination items. 7. Active participation in professional or technical societies, associations, agencies, or organizations, including: a. Serving as an elected or appointed official; b. Serving on a committee of the organization; c. Serving in other official positions. 8. Patents Issued. 9. Engaging in self-directed study.Units: The conversion of other units of credit to PDHs is as follows: 1. 1 college or unit semester hour 45 PDHs 2. 1 college or unit quarter hour 30 PDHs 3. 1 continuing education unit 10 PDHs 4. 1 hour of professional 1 PDH development in course work, seminars, or professional or technical presentations made at
problem-solving ability are Page 14.1071.2categorized as “hard” skills, which include Outcome 3.a, 3.b, 3.c, 3.e and 3.k, while the other sixoutcomes in Criterion 3 belong to “soft/professional” skills. Such a demand from industrychallenges our educational system to provide students with adequate development of both sets ofskills. Fortunately more and more colleges and universities3-5 are recognizing this challenge andare attempting to change accordingly.Table 1. ABET Criterion 3. Program Outcomes2Engineering program must demonstrate that their students attain the following outcomes:3.a An ability to apply knowledge of mathematics, science
of the way I was treated for being female! (1, Gender) b. …If the institution doesn't give a [expletive] about how many classes they are offering based on how many students are enrolled and needing certain classes... they should pull their heads out of their [expletive] and stop wondering why the enrollment at their university is going down… (1, Teaching (Curriculum))2=Slightly Negative: c. School was very expensive and [my institution] needs to start accepting more transfer credits. (2, Money) d. I find that I have learned much more outside of class than in class, partly due to some professors who
), US FIRST (http://www.usfirst.org),Robo-CupJunior (http://rcj.sci.brooklyn.cuny.edu)5, BattleBots (http://www.battlebots.com) andmany others. Strong ties between these competitions, student enthusiasm, research, andeducation have been observed.6This means that students entering their degree program are: a) very enthusiastic about learning“more about robots” and b) generally only have “hobbyist” knowledge of the science that Page 14.269.3underlies the robots they have seen and/or constructed. The goal is to create a program in whichthis “hobbyist” knowledge is transformed into “engineering” knowledge while maintaining thelevel of interest and
knowledge concerning components of the designprocess and documentation both before and after (2.80°3.02 and 2.84°3.07, respectively) andlowest concerning iteration (1.73°2.31). Page 14.1213.6* The construct A°B is used here to indicate the average score before (A) and after (B) the design exercise. Table I Student knowledge distribution Student Perception Faculty Perception Knowledge Level Before After Before After 1 = No clue 42
. Force is proportional to area and load mass area is 10 times input area.The load that can be lifted is 10 x 10 kg= 100 kg.Student Example-B: Nonlinear proportional method for a hydraulic system (reference figure 2).Given input mass= 50 kg and input area radius=2 cm; load radius= 6 cm. Find load mass that canbe lifted. Force is proportional to area and area is proportional to the square of the radius. Loadmass radius is 3 times input radius & the load mass that can be lifted is 32 x 50 kg= 450 kg. Figure 2. Typical Hydraulic System Page 14.448.6Software Used in the Engineering and Technology Fundamentals ClassThe
. Figure 2. Most common student prediction of deflected shape. (a) (b) Figure 3. Actual deflected shape once instructor applies load to the model in the classroom. (a) If students predict right end will go down, instructor creates this situation. (b) If students predict right end will go up, instructor creates this situation.The instructor then introduces the concept of metacognition. Since their prediction didnot work out well, they should reflect on why they thought it was a good prediction.There was something they assumed or had previously experienced that suggested theirprediction; what was it? Why was their assumption poor, or why did their previousexperience not serve well in this
hand shears and drills forinstallation of the pop rivets. Page 14.1150.3Each design team of 3 or 4 students designs and constructs their own barge so there is a naturalcompetition to see who can do the best. However, the performance is judged against a fixedstandard rather than relative to other groups. The grade on the barge project counts for 10% ofthe grade for the Ship Structures course. The project deliverables and the points allocation forthe barge grade are: 1. Design calculations a. Structural analysis including MAESTRO model (20 points) b. Predicted weight capacity of container and the limiting factor (i.e
regional engineeringconference. The targeted public speaking skills address the key areas of professionaldevelopment and leadership.During this activity, students were given a presentation on public speaking skills andstrategies in the areas of delivery, performance, content, and the use of visual aids by thefacilitator. The slides presented to the students during the public speaking presentation arelocated in Appendix B.1 this study.After the presentation, students were asked to engage in an extemporaneous speakingactivity. A student was selected to give a 2-3 minute speech on a topic chosen by theremaining students in the audience. The documents supplied to the students to conduct theimpromptu speech activity are located in Appendix B.2 of this