material and return to the initial operation in spite ofthe added insulator. The second characteristic is defined by a new increase in the TEG performancethis would be signified by computing the energy losses and comparing these losses to the powergeneration. This is best approached by utilizing a quasi-steady state conditions and by treating eachtime interval as its own event the trend can be seen as a function of temperature. This showed thatthere was a notable improvement of power generation across the system. While the results showpromise and show a clear divergence in a positive direction over a large number of data sets a lot ofwork can be done moving forward. Further, the potential for this project is heavily based upon theconcept of
it gets. The majority of whatfollows in the course is simply applications of this primary tool. Just like a skilledcarpenter equipped with a few simple tools can make all types of furniture, so a skilledstudent equipped with a few general purpose tools can solve all types of thermodynamicproblems. The “skill” is not in memory retention but rather in the continued applicationof the tools to ever more challenging “projects”. It is worth noting that the carpenteranalogy is continued into other parts of the course. e.g. Just like a carpenter needs to Page 11.227.3 know his/her wood, so the thermodynamic student should understand his/her
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
LouisianaTech University for over 10 years.This work is an extension of a currently funded National Science Foundation (NSF) project, theprimary goal of which was to expand the use of WeBWorK into three sophomore-levelengineering courses: Statics and Mechanics of Materials, Circuits, and Thermodynamics. Thisprimary goal has now been achieved, and the problem suites for those courses have been adoptedby the authors’ institution and by a nearby community college which offers an associate’s degreein engineering. Currently over 40 active course sections are being hosted on the Louisiana TechUniversity WeBWorK server, which also hosts courses for other institutions, coveringmathematics and statistics (26 sections), engineering (14 sections), and engineering
manufacturing engineering workforce to be more prepared to hit theground running, with less supplementary training required of the employers in the faced-pacedmanufacturing environment.Like the other engineering programs at the institution, there is a strong emphasis on co-opopportunities and working with industry. This includes hands-on projects with industry drivenrequirements, and applied research and development opportunities at both the undergraduate andgraduate levels. The focus of this paper though, is on the development of the hands-onlaboratories of the manufacturing engineering program. Resources for undergraduate researchprojects are readily available through the realization of the hands-on laboratories formanufacturing engineering. Thus the
to assess the direct impact of entrepreneurship onengineering education. Not only the primary data would be speculative at best, but it useseconomic measures as indicators for academic success. The two do not have to beinterconnected. Rather, the assessment criteria should be more geared towards the impact ofentrepreneurship on the engineering skills of the students, such as their design thinking,teamwork, project management and economics. Although some engineering attributes are simpleto assess, such as communication and teamwork, there are very few verified tools that can assesscomplex attributes, such as investigation and design thinking. Nevertheless, having the impact onengineering attributes as a criterion will prove to be a more
justification.Beyond expected teacher- and student-driven EBR as expected from the curriculum, there wasthe possibility for additional instances of EBR throughout the classroom implementation. Therewere few examples where students organically engaged in EBR. Overall, they were comfortablemaking claims but rarely provided evidence to back up their claims.While reading the book I Get Wet in Class 1, one student excitedly connected the book’sdiscussion of wax paper to the engineering project, “I know which kind of paper we should use!Wax! It holds wet and dry!”During the introductory lesson in Class 2, one student was already forming engineering solutionswhile the class was discussing the criteria and constraints set forth by the clients, Max and Lola.“It
students’experience of the given project within the informal environment, as well as, their understandingtheir learning through this non-curricular setting. Open-ended questions were developed toencourage students’ natural statements about their experiences.The interview protocol included open-ended questions. The open-ended questions provided themeans to explore students’ thinking about their learning. Sample questions included “How wouldyou describe your process?” The purpose for this question was to understand how studentsthought about the design of their product (ABET student outcome [c]), problem solving (ABETstudent outcome [e]), and experimentation processes (ABET student outcome [b]). We did notspecifically prompt them to consider these processes
. Professor Bielefeldt’s research interests in engineering education include service-learning, sustainable engineering, social responsibility, ethics, and diversity.Dr. Jacquelyn F. Sullivan, University of Colorado, Boulder Jacquelyn Sullivan has led the multi-university TeachEngineering digital library project, now serving over 3.3M unique users (mostly teachers) annually, since its inception. She is founding co-director of the design-focused Engineering Plus degree program and CU Teach Engineering initiative in the University of Colorado Boulder’s College of Engineering and Applied Science. With the intent of transforming en- gineering to broaden participation, Sullivan spearheaded design and launch of the Engineering
Curiosity and Exploration Inventory-II (CEI-II)which measures one’s “willingness to embrace the novel, uncertain and unpredictable nature ofeveryday life” (Kashdan et al., 2009, p. 995).2.2 Mindfulness and InnovationFor the purposes of this work, and the larger Engineering Majors Survey (EMS) project that thedata stem from, we define innovation as “encompassing skills, attributes, and actions relating tonew designs and solutions that fundamentally depart from, and change thinking about,conventional practice” (Gilmartin et al., 2017, p. 4). Based on the work by Dyer et. al., the EMSdraws on five behaviors to assess innovation: questioning, observing, experimenting, ideanetworking and associative thinking (Dyer, Gregersen, & Christensen, 2008
, he has not been able to get a single ballinto the 100-point hole. The 100-point hole is located 𝐿 = 3 ft from thebase of the skee ball machine’s backboard, which is angled at 𝛽 = 20∘with respect to the horizontal. If the end of the launch ramp is ℎ = 2 ftabove the backboard’s base and oriented at 𝜃 = 45∘ to ground, how fastshould Greg project a ball up the launch ramp so that it lands in the 100-point hole? How longdoes it take for the ball to reach the hole?Table 2 shows the assessment result with the percentage referred to correctness. Table 2 Assessment Result Problem Date Given/Find Equations Unknowns 1 Feb
-ftcs-consumer-complaint-categories-again-2014[5] Beckers, J. J. & Schmidt, H. G. (2001). The structure of computer anxiety: A six-factor model. Computers in Human Behavior, 17(1), 35-49.[6] John Winterdyk. & Nikki Thompson. (2008). Student and Non-Student Perceptions and Awareness of Identity Theft. Canadian Journal of Criminology and Criminal Justice 50(2), 153-186. Project MUSE. Web. 5 Apr. 2013. http://muse.jhu.edu[7] Nachmias, D. & Nachmias, C. (1987). Research methods in the Social Sciences. New York: St. Martins Press.[8] Costello, A. B., & Osborne, J. W. (2005). Exploratory Factor Analysis: Four recommendations for getting the most from your analysis. Practical Assessment, Research, and Evaluation, 10(7
Paper ID #20555Faculty Facilitated Study Group: Improving Students’ Academic Performancein Engineering CoursesDr. Gloria Guohua Ma, Wentworth Institute of Technology Gloria Ma is an Associate Professor in the Department of Mechanical Engineering and Technology. She has been teaching robotics with Lego Mindstorm to ME freshmen for several years. She is actively involved in community services of offering robotics workshops to middle- and high-school girls. Her research interests are dynamics and system modeling, geometry modeling, project based engineering design, and robotics in manufacturing.Dr. Bo Tao, Wentworth Institute of