what they needed toknow in the subject, helped them make a realistic assessment of their own abilities, and providedthem with skills that would be valuable in the future.”In addition to the immediate skills provided by participating in peer review, many researchersrecognize the long-term benefits provided to reviewers. Boud (2000) posited that the focus ofassessment as a whole must be rethought to promote lifelong learning skills. Learning toperform and to respond to formative feedback given by both peer- and self-review are essentialskills for succeeding in a continuous working world that doesn’t assign an end-of-project grade.Teaching students how to perform peer review and how to utilize constructive criticism forimprovement is essential
project including the overview of the systemoperation, overview of remote operations, MecLab Easy Port to I/O pin and cable layout, I/Oport assignment, system schematics, ladder logic, survey results and class activities, and futuredirection of the program.Overview of System OperationsThe automated system consists of Festo MecLab sub-systems including: two conveyance, onepick-and-place robot, and two feeders. The automatic control system consists of three AllenBradley (A-B) Micrologix 1000 PLCs with RS Logix 500, one DC power supply, one LenovoThink Server TS140 with Windows Server 2009 Enterprise Software, Festo MecLab Easy Portinterconnects with cabling, and various pushbuttons, sensors and indicators.Festo MecLab station automated systems are
the overall individual ecosystems developed by working groups wereanalyzed by the project evaluators to produce an initial engineering education ecosystem map,Figure 4. Figure 4: Engineering education ecosystem map.CitationsAtman, C. J., Sheppard, S. D., Turns, J., Adams, R. S., Fleming, L. N. , Stevens, R, . . . Lund , D. (2010). Enabling Engineering Student Success: The Final Report for the Center for the Advancement of Engineering Education. San Rafael, CA.Augustine, Norman R. (2013). No Place Like Home. Innovation America, 11(1).Board, National Science. (2012). Science and Engineering Indicators 2012. Arlington VA: National Science Foundation.Carlson, C. R., & Wilmot, W. W. (2006
subjects that are related to engineering, and provide information regarding the major and field.Because prior experience played a large role in the sample, it could be beneficial to work withlocal schools and Project Lead the Way programs to expose more students to engineering. Theseare just a few ideas that could be implemented in recruitment.There were some limitations in our study, one of which is that this study only occurs at oneuniversity. This is an external validity threat, as this pertains to the generalizability of our study.The demographics from our study are quite consistent with the 2013 national averages found bythe National Science Foundation, indicating that generalizability is possible. As this research iscurrently in-progress, we
thescope of the engineering problems addressed. In our senior design classes, students are workingon the same problem across the two semester sequence. In ECE490, problems are defined ascase studies and can take anywhere from 30 minutes to two weeks. Giving students a largernumber of smaller projects allows us to provide them with unique experiences in our curriculum. Week Topic 1 Introduction to Engineering Design and Engineering Notebooks 2 Engineering Design Process 3 Identifying Problems and Needs 4 Identifying Requirements and Constraints 5 Specifying Requirements and Constraints 6 Brainstorming 7 Brainstorming 8 Preparation for Class Field Trip 9 Class Trip 10 Selecting an Approach
and think deeply about what is going on, also time to clear one's mind to (AP) think more clearly.” Affect the Future “A moment in time when you stop and look back on where you have been, what you have (F) learned, and how this will impact the future.” * Value toward Reflection “Getting the actual time to slow down and think, with no other expectations on how I'm Time (T) spending that time.” Space (S) “Peace of mind, the ability to project one's thoughts” Improvements (I) “Reflection improves performance, and thus satisfaction, with time.” Making Meaning "Opening your mind’ to allow new perspectives
their aircraft designs.ii. Hands-on experience: Fabrication and flight test evaluation of the UAS design was perhaps the most valuable lesson that the student team gained; at this scale, few finished products turn out in line with designs and projections. The team encountered this apparent discrepancy at various stages following the initial design, including component weight during fabrication, as well as the final weight of the finished aircraft, which was about 30% more than the design specification, affecting its dynamic performance. Lesson Learned: Analysis of aircraft designs need to account for potential variations in parameters during the fabrication/repair process to still be able to satisfy design and performance
laterlab exercises or in their personal projects. Designing the sequence of experiments in this waysupports the notion of modular design and reinforces the notion of module reuse. Studentsimplement FSMs at a high-level using behavioral modeling; topics such as state variableassignment are no longer part of the course. Week # Laboratory Exercises 6 Full Adder (SOP & POS), Function Form Implementations, Ripple Carry Adder 7 BCD-to-7-Segment Decoder, BCD Comparator Module, Magnitude Comparator 8 Shift Register, Sequence Detector (FSM), Counter, 7-Seg Display Multiplexor 9-10 Multiplier, Divider, Interfacing with External Hardware Module Table 2: Ordering of Experiments for the Implementing Designs
time at which it was used forsimulation.Running results of the TetraMax ATPG on a 3 to 8 decoder is shown in figure 7 where studentswill observe a transcript window projecting important test report. As seen in the test report; faultclass, total number of faults, test coverage, CPU time and pattern summary are clearly depictedin the included capture of transcript window. For the 3-8 decoder netlist fed as an example, weobtain 14 internal test patterns and totally 90 faults were detected with a test coverage of 100%as shown in the screen shot below. Figure.7. Transcript window displaying reportVII. ConclusionObjective of this paper was to share the basic experience learned in Digital Systems Testing andTestable
) arrive automatically into one’semail. The examples below are the results of a search alert created from the author’s advancedsearch (bike OR bicycle AND “Latin America”):This is an alert “enabled” over the course of the last few months, and which presents 16documents published between May 2, 2016 and February 1, 2017; documents non-existent whenthe search alert was created, and which an end-user would have had to search week after week ormonth after month to find. These search alerts are ideal for specific interests within a given timeframe (project deadline, semester papers, etc.)Similar to search alerts but less targeted are “content alerts” -sometimes called TOC (Table ofContents) alerts- which by using the same personal account, allows
regular faculty, or to teach new/irregular courses. (N2) B. What positive change will they bring to the university? What are the desired results of this job?Interviewees coincided that the major expected impact would be in the curriculum and newresearch topics. 1. Curriculum - new courses, labs & projects (N4) 2. New research topics (N3) 3. Industrial context (N3) 4. Define and provide the skills students need to be hired (N2) 5. University promotion and networking (N1) C. Which skills, knowledge, behavioral and cultural competencies should a PoP have?Plenty is expected from a PoP by all respondents. Most the stakeholders expect that a PoPcandidate is willing and able to share their
Level Outcomes Fall 20XX Course Number and Title – XXX-XXX Const. Project Mgmt. & Scheduling Course Outcomes Percentage Percentage Percentage Percentage Comments (Objectives) Exceeded Met Approaching Did Not Standard Standard Standard Meet >85 70-84 60-69 Standard <601. Students would be 11% 76% 8% 5%able to produce Quizzes 6, 7,meaningful
expected outcome of introducing the first lab at the start of the MSE curricular sequencewas that students would begin to use these tools in their courses. Discussions with otherinstructors recorded the exclusive use of Microsoft Excel for graphing, laboratory reports, anddata analysis. While MS Excel is more widely used in industry than MATLAB, it is also true thatproficiency with MATLAB could translate to Excel more easily than the reverse. Theassumption was that students would use more reliable sources and effective tools if they wereexposed to them and taught to build competency in these tools. While some students began touse MATLAB and CES for course projects and laboratory reports after their 4 th semester, thiswas nowhere near as widespread
essay. You don’t go into an essay without having an idea whether in your head or onpaper. The same goes for designing something. You must have an idea of what you want tocreate and sketching is the way to get that idea down and also allows you to share your ideaswith others for critiquing.”The understanding that sketching itself is a way of thinking was very important for students torealize so they could begin using it as a tool rather than as something to perfect by showing totheir peers or instructor. Many students noted how they regretted not having more sketchesleading up to their final design project, which further underlines the newfound importance theyplaced on sketching as a tool to improve their end-product.DiscussionThe exploratory
proximity, another possible reason of this special connection is that PLs are not involved inthe grading process. This makes students more relaxed when interacting with PLs.PLs give us feedback about the class during the semester; we do not have to wait for classevaluations at the end of the semester.What PLs take from their class experience.PLs’ experience in this program was overwhelmingly positive. For them it was a personaldevelopment process not just a job, and the little empowerment that comes with the position doescontribute to their growth as young individuals. For several of them this was the first opportunityto lead a group of peers on a technical project where they are expected to be the expert.All of them report that - Ability to
the US Air Force Test Pilot School and served as a Service Chief’s Fellow at the Defense Advanced Research Projects Agency (DARPA). c American Society for Engineering Education, 2017 Training and Development for Faculty New to Teaching and Academia Lt Col Clinton J. Armani, PhD Assistant Professor of Mathematical Sciences Unites States Air Force AcademyAbstractThe Department of Mathematical Sciences at the United States Air Force Academy has beenrecognized across the institution for their outstanding work in preparing new and lessexperienced instructors to be successful teachers. The department makes an
basic concept in just 18 months.8Though they did not use a completely interactive virtual environment, such as the onedeveloped at Clemson University, they significantly reduced student learning time in 2 acquiring key concepts and used that extra time in the laboratory to teach practical skills. Thedistance learning advantage of using virtual reality was also demonstrated by Deniz et al.through their remote lab project using virtual tools.9 It is important to note however that theCA2VES virtual reality toolset is more immersive and does not require any specializedequipment as used by the researchers. Hence it is expected to be easier to implement the VRcurriculum at a broader scale and achieve
Paper ID #20366Using Audio to Train Pace in a Virtual EnvironmentDr. Ali Ahmad, Northwestern State University of Louisiana Ali Ahmad is the Head of the Engineering Technology Department at Northwestern State University of Louisiana. He received a B.Sc. degree in Industrial Engineering from the University of Jordan (Amman, Jordan; with Highest Distinction) and a M.Sc. and Ph.D. in Industrial Engineering from the University of Central Florida (Orlando, Fl, USA). He has diverse expertise in human-computer interaction, quality engineering, and simulating human-machine systems. He previously worked on projects related to transfer
, J., Goodrich, V., and Meyers, K. Teaching MATLAB in First-year Engineering: A GUI Tool Directed Approach, In 4th First Year Engineering Experience (FYEE) Conference, pp 9-10.15. Koh, M.-S., Rodriguez-Marek, E., and Talarico, C. (2007) Class Projects with Graphic User Interfaces in Matlab, In 2007 ASEE Annual Conference and Exposition, Honolulu, Hawaii.16. Pang, C. K., Wong, W. E., Li, C., and Al Mamun, A. (2008) A Toolkit with MATLAB GUI for Learning Position Error Signals in Data Storage Systems, International Journal of Engineering Education 24, 1242.17. Kim, K.-J. (2007) Computer-aided Instruction of Fundamental Mechanics Courses using Matlab, In 2007 ASEE Annual Conference and Exposition, Honolulu
director for K-12 program. Her work includes the development and design of STEM project- based learning experiences for students and teachers with emphasis on developing modules for engineer- ing design and computer science; She is focused on teacher professional development through technology enhanced and blended learning for teachers and students across urban and rural environments. Her work also involves the execution of MESA statewide signature event that showcase students work at the annual Washington MESA K-12 Engineering Design and Computer Science Challenges. c American Society for Engineering Education, 2017 MESA Community College Program: Meeting the Need for
thetension.”Measure of data collection refers to the technical section of data collection, and consist directand indirect measurement, or formal assessment and informal assessment which arefrequently innovated by program. For instance, Mr. Miller argued, “people do not tell us howthey measure things. What we are to measure specifically, I mean a-k, are very generalstatements. They have no meaning and tell you actually how to measure. It will be importantif we select direct measures and indirect measures. ” Mr.Varner argued, “we have a variety ofassessment methods like exams, projects, homework assignments, survey. There is directmeasure in the classroom. Now, we go back to look over all the experience through feedbackon how you did generally. We ask
own case, I also teach Circuit prepare the students to withstand challenges oftheory, which is the most fundamental course in 21st century posed by evolving technologies.the curriculum of Electrical and ComputerEngineering. I have shown in the classroom, how o Acknowledgement:the measurements of Resonant frequency ‘𝑓! ′, the I wish to thank the administration ofQuality factor ‘Q’ are of paramount importance in UMASS-Lowell as well as the administration ofdesigning and testing Bulk Acoustic Wave Analog Devices Inc. and Skyworks Solutions for(BAW) filters, a research project I was involved at supporting me in this endeavor. I want toSkyworks Solutions for seven years. At the
, retrieved 12 February 2017.[5] Larry Booth, Jon Preston, and Junfeng Qu, "Continuous program improvement: a project toautomate record-keeping for accreditation", In Proceedings of the 8th ACM SIGITE conferenceon Information technology education (SIGITE ’07). ACM, New York, NY, USA, 155-160, 2007.[6] Business Insider, "The 50 best computer-science and engineering schools in America",http://www.businessinsider.com/best-computer-science-engineering-schools-in-america-2015-7,retrieved 12 February 2017.[7] The California State University, "Search CSU Degrees", http://degrees.calstate.edu, retrieved12 February 2017.[8] Ernest L. Carey. "A quest for ABET accreditation: in retrospect", J. Comput. Sci. Coll. 19, 1,139-146, October 2003.[9] Computing
collected data Analyze: Compare significance and power values for each factor to distinguish significant factors Evaluate: Weigh relative impact of each factor Evaluate: Critique reasons that factors were significant or non-significant Evaluate: Critique possible sources of error and limitations Create: Devise an experimental methodIn regards to scaffolding of critical thinking and levels of Bloom’s Taxonomy one approach wouldbe to incrementally add higher level tasks as projects progressed. However, engineeringexperimentation courses offer excellent opportunities, from the very start, to develop studentthinking and learning
of required software does not tell the whole story for computer engineering. Acomputer engineering degree is not an electrical engineering degree with a minor in computerscience. There are differences in the hardware courses and the courses that mix hardware andsoftware between electrical and computer engineering. Likewise, many programs teachhardware and software to computer engineering students by way of laboratory projects andexperiments. We have made no attempt to distinguish computer engineering courses in this areaand we leave this to future studies.References1. http://www.abet.org/ABET2. "Computer Engineering Curricula 2016" was issued by the Joint Task Group on Computer Engineering Curricula from the Association for Computing
Paper ID #20551Spatial Reasoning Difference between Civil and Mechanical Engineering Stu-dents in Learning Mechanics of Materials Course: A Case of Cross-sectionalInferenceDr. Oai Ha, Western Carolina University Dr. Oai Ha is currently an Assistant Professor in mechanical engineering in the School of Engineering and Technology at Western Carolina University. He was a Postdoctoral Scholar at the School of Civil and Construction Engineering at the Oregon State University, working in the Engineering Cognition Lab on several engineering education research projects. He holds a Ph.D. in Engineering Education from Utah State
School of Architecture. In 2009, Professor Ramming joined the faculty full time as an assistant professor of architectural engineering. Since that time, she has taught classes in structural analysis, timber and steel design, engineering mechanics: statics, building foundations and numerical analysis. Professor Ramming has been named Halliburton Outstanding Young Faculty and the Outstanding Teacher for the College of Engineering, Architecture and Technology. She has also published books for Project Lead the Way and a text on Numerical Structural Analysis. Professor Ramming enjoys spending time with the students of CEAT as the advisor of the Architectural Engineering Institute and Women Inspiring Successful Engineers
Stronghold), and many talented youth, mentors, and leaders. This paper focuseson the lessons learned from five, successful rookie teams; analzying the data for commonthemes. The teams have provided lessons learned from the perspective of the leadmentors, specialized mentors, and the students; thereby creating a comprehensive list ofhelpful hints, techniques and strategies. A reminder, the FIRST competition is more than robots. It's about people, it's about learning to work together, it's working together toward a shared goal, doing teamwork, it's about finding and using each individual's unique talent to make the project team greater than the sum of its parts. It's about applying skills that will
itproduced a “wrong” answer because it failed to account for the most significant factor in ethicaldecision-making: a decision that has the potential to harm the environment, people or morespecifically children, will have a more greater impact on the decision than the current modelallows [4].A traditional cost-benefit analysis (CBA) consists of listing alternative projects and programs,listing stakeholders, and selecting measurements. In the triple bottom line approach, quantifyingsuch attributes becomes increasingly difficult as has been discussed since the introduction of thesocial and environmental components in the 1970’s. The difficulty in creating a commonmeasurement of quantity for comparing and creating a single CBA rests in the question of
c American Society for Engineering Education, 2017Design of argumentation techniques for learning engineering staticsThis manuscript reports the progress of a project investigating collective argumentation as astrategy to help students understand the various concepts taught in statics and to develop learningmodules that incorporate this learning strategy. The intent is to reduce the number students whorepeat statics, thereby enhancing the efficiency of time and resources dedicated to the course thatis critical at the University of Georgia where the engineering undergraduate student body hasgrown from 400 students in 2012 to approximately 2000 students. Indirect impacts includeaffecting how students approach material taught in upper division