AC 2010-2210: EVALUATION OF RAPID DEVELOPMENT SYSTEM USING EYETRACKERArun Chintalapati, Missouri University of Science and TechnologyHong Sheng, Missouri University of Science and TechnologyRichard Hall, Missouri University of Science and TechnologyRobert Landers, Missouri University of Science and Technology Page 15.541.1© American Society for Engineering Education, 2010 Evaluation of Rapid Development System using Eye TrackerAbstractThis paper presents the results of the evaluation of Linear Axis Rapid Development System10(RDS), which is under development as part of a NSF funded project. The Linear Axis RDS isused in teaching control design/insertion in the
Payne is a senior in the Mechanical and Nuclear Engineering (MNE) Department at Kansas State University (KSU). In addition to his work as laboratory assistant on our MNE wind tunnel facility, where he has contributed significantly to wind tunnel lab development projects such as the current Pitot-static probe project, he was also the team leader for the KSU SAE Aero Design Competition in 2008.Trevor Heitman, Kansas State University Trevor Heitman is a junior in the Mechanical and Nuclear Engineering Department at Kansas State University (KSU). He worked on the Pitot-static probe project as part of his wind tunnel laboratory assistant activities, and has also contributed significantly to previous
onevidence of what MEs do.Documents from organizationsMechanical EngineeringThe most canonical document for design of specifically mechanical engineering curriculum is theVision 2030 Report from the American Society of Mechanical Engineers [3]. The Vision 2030committee was convened to determine how ME degree programs should change in response to therapid changes in ME practice. One influence on the project is the NSF 5XME workshops whichwere held in response to the challenge of educating mechanical engineers who can be five timesas valuable as their global competition (who can do similar technical work at one-fifth of thewages). The report is also based on previous reports from other organizations and people, as wellas on survey results.Among other
Paper ID #9049Predicting Entrepreneurial Intent among Entry-Level Engineering StudentsDr. Mark F Schar, Stanford University Dr. Schar works in the Center for Design Research - Designing Education Lab at Stanford University. He is also a member of the Symbiotic Project of Affective Neuroscience Lab at Stanford University and a Lecturer in the School of Engineering. Dr. Schar’s area of research is ”pivot thinking” which is the intersection of design thinking and the neuroscience of choice where he has several research projects underway. He has a 30 year career in industry as a Vice President with The Procter & Gamble
. As one of the broadestengineering majors, mechanical engineering offers training in areas that range from thermal fluidsciences to mechatronics to machine design. In the ideal program, students are also given a tasteof industry work through team activities, project-based course content, or a required engineeringwork experience. Mechanical engineering graduates have the opportunity to join any number ofindustries, and are indeed highly sought-after for their problem solving skills and technicalbreadth. Yet, mechanical engineering students are generally not provided with guidance onmatching their interests with one of the multitude of jobs or non-traditional career paths availableto them.Students are also lacking direction on skills so
instruction in select junior and senior level MAE courses. 3. Designing a two-to-five-year educational research project with the objective of assessing students’ improved ability to communicate. This research should provide both quantitative (most important) and qualitative evidence of the success (or not) of that course and should be useful for continuing assessment into students’ third and fourth years and beyond graduation.Our plan allowed us to teach ENGRC 2250 during the spring 2016 and 2017 semesters to a self-selecting subset, 20+ students, of MAE undergraduates also enrolled in MAE 2250. At the sametime, we conducted quantitative and qualitative educational research, commonly referred to asmixed methods research. As
to clearly documentcollected pre-ideation information and to aid in the decision making process. The followingsections discuss steps followed in generating the NPM. This is followed by an illustrativeexample from an actual student project. Figure 1. Schematic of how disparate information from several pre-ideation design tools and methods are integrated into the Needs-Function Matrix2.0 Steps in Constructing an NPM2.1 Customer Needs AnalysisPerform a customer needs analysis to find out what is important to the customer. The resultinghierarchal list should be weighted using methods such as the Analytic Hierarchy Process.1 Data
implementeddigitally. Although the typical undergraduate curriculum is crowded enough as it is, and studentshave the ability to learn how to deal with these difficulties through elective courses and graduatestudy, it is important that the students come away knowing that these subtleties exist and thatthere are techniques out there for dealing with them. Much of the advancement taking place incontrols education seeks to address these deficiencies through laboratory work and project-basedlearning.1 2 A specific area of control system design and analysis that even many advanced graduatestudents are unaware of is that of discrete event system (DES) control. Discrete event control isoften confused with digital control. Whereas digital control systems
learning • Students work in teams • Learning is self-directed and student-centered • Faculty serves as a mentor or guideThe module asks students to choose from a set of components (pump, turbine, boiler and con-denser) for which example performance data are provided. The example data tables included inAppendix A were created for the project using realistic numbers, but were not derived from actualcomponents. In fact, we permit a number of simplifying assumptions to facilitate the process (likeindependence of efficiency on shaft speed, flow, etc. . . ). For instructors who are so inclined, thiscan afford a good opportunity for a discussion about how the students might “go the next step” tomodel real components.At the end of their work
application. Nearly all of these assignmentsinvolved students performing finite element analysis or writing finite element code, as activelearning is an effective approach for FEA coursework (Watson et al, 2017). While specificcourse undertakings are provided in the following section, they include in-class and laboratoryassignments, graded and non-graded in-class activities, and a final project. This range of content(in both evaluated and non-evaluated form) was designed to bridge this gap between theory andpractice through various efforts, but more importantly provide specific approaches for students touse to employ appropriate finite element analysis in the future.Course UndertakingsThis section highlights specific in-class activities, homework
. His research interests include numerical heat transfer, fluids, and magnetohydrodynamic simulations and facilitating undergraduate students to engage in similar projects. He is also focused in the implementation of engineering freshman design experiences.Ricker Lamphier, University of Florida c American Society for Engineering Education, 2020 Assessing the effectiveness of an automated problem generator to develop course content rapidly and minimize student cheatingAbstractThe education environment has taken a dramatic shift in the last decade with a greater focus inonline delivery. In online and traditional classes alike, engineering faculty rely on textbooks,online publishers’ content, and
. Students in the BSME program complete a rigorous,project-based curriculum [7] designed to engage students in the engineering design-build-testprocess during all four years of undergraduate study. Program highlights include small classsizes, access to faculty, and an integrated study abroad option.The University of Evansville has implemented both admissions processes mentioned in theintroduction. Students entering the program directly from high school must meet admissioncriteria for ME Lower Division. After completing the required Lower Division courses with agrade of C- or better, students must apply for ME Upper Division status to complete the final twoyears of study.Lower DivisionLower Division is classified as the first two years of
Love, University of Texas, El Paso Norman D. Love, Ph.D.is an Associate Professor in the Department of Mechanical Engineering. Dr. Love, an El Paso native and UTEP alumnus, earned a B.S. and M.S. in Mechanical Engineering from the University of Texas El Paso and completed his Ph.D. at the University of Oklahoma in the same field. Dr. Love’s research interests lie in the areas of combustion and energy conversion processes and engineering education. He has developed flipped classroom modules and also implements project based learning activities in his class activities.Md Moinuddin Shuvo, University of Texas at El Paso Md Moinuddin Shuvo is a graduate student at the University of Texas at El Paso with a
. Page 26.139.2The foremost goals of the needs assessment were to create program and course learningobjectives, as well as guidelines for a program completion certificate, with the objective of theprogram being job placement in the hybrid-electric vehicle engineering industry. The relativelynarrow focus of the program objectives was necessary considering the requirements of therequest for proposals and funding agency. This program was funded from 2010-2014 throughthe US Department of Energy Vehicle Technologies Office under American Recovery andReinvestment Act (ARRA) authority and guidelines. The emphasis in all ARRA projects was onworkforce development, job placement and economic stimulus, and the strategic objective of theHEVE program was to
positively impacted their content learning.Survey Comments Thermodynamics: The anonymous survey included a request and space for comments.Twelve students in the control group and fifteen students in the experimental group providedcomments. Below, parts of some of the comments are reproduced. Except where mistakes greatlyimpeded understanding, these quotes are provided verbatim. As the purpose is to provide 11evidence of student feelings about the collaboration project and not to point out errors in thesecomments, [sic] is not used. Ten of the twelve students in the control group expressed a wish they had been included inthe collaboration group. The other two felt taking group
Kinematics CourseAbstractThe proper application of lean management techniques to manufacturing processes typicallyresults in process improvements. Many of the principles of lean thinking can also be applied tothe educational process. This paper examines the implementation of lean management principlesin the design and delivery of a traditional lecture-based engineering course – Kinematics ofMachines.The format of a typical kinematics course relies on lectures, homework, exams, and perhaps adesign project as a means for transferring knowledge from the instructor to the students. In thispaper, lean thinking principles are applied to redesign the kinematics course format to increasethe effectiveness and efficiency of the knowledge transfer process
setting, rather than in the context of projects or research reports. Technicalexperimental report writing varies from other types of technical writing as all studentsparticipated in the experiment and there is little research involved in the writing. The thermo-fluids lab course (ME 342W) has a pre-requisite, Heat Transfer, which hasits own pre-requisites including Fluid Mechanics. The lab course that typically precedes ME342W by a year is a Mechanical Engineering Materials and Laboratory course (ME 213W). Thetypical structure of ME 342W is that there is a lecture each week and a lab each week, with eachgroup performing a lab experiment once every two weeks, and having the remainder of the twoweeks to produce a completed lab report
2018 and 2019 only. In all years, two sections of the class were taught, each by a differentinstructor. Throughout the study period the instructors used the same course materials and metregularly to ensure that course content and delivery were aligned.The traditional method relied on in-class lectures to deliver new content to the students and classperiods utilized active-learning practices to enhance this delivery. Lectures typically took the form ofpower point slides that the instructor would talk through. The slides frequently included examples andactivities that the students would be asked to work through with a partner before moving on. Therewere no pre-class activities required and homework and projects were regularly assigned to be
. The Accreditation Specialist, together with the Head of the Department, define the “Semester Evaluation Plan” and identify the courses in which Faculty will be evaluating the student outcomes declared in SAEP. In the next section SAEP will be described in detail. 2. Planning and design of activities to be used to evaluate student outcomes. The Accreditation Specialist and the Head of Department ask Faculty, who will evaluate student outcomes, to carry out the following activities prior to the evaluation process in SAEP: To be acquainted with the student outcomes to be evaluated in the course and to design and/or to update the activity (homework, exam, project, laboratory report, etc.) in which the
• Include interactive self-check questions to keep students engaged and to segment the video • Provide an example problem but in order to keep the video short, the solution steps were not explained in detailThese studies each focused on prerequisite review videos for one course in their curriculum.Following their successes, the goal of this project is to create online review videos to improvestudent’s mastery and recall of prerequisite material across all mechanical engineering (ME)courses. The Review Video Library (or RVL) created is an ongoing project with videos beingcontinuously created and updated. It has been used in select courses in Spring 2019, Fall 2019,and currently in Spring 2020. The initial timeline and preliminary
instructor is asked to map a course outcome to a particular studentactivity/evaluative component. Examples include a particular problem on an exam, a homework,a project report etc. This approach is consistent with the notion of direct assessment andleverages the fact that the instructor is going to evaluate the chosen component irrespective ofthe assessment need, since it contributes to the course grade. The instructor is also asked to set acriteria that reflects the demonstration of the particular outcome. For example the instructor,having chosen a homework on uncertainty analysis as the activity to reflect ability to applyknowledge of mathematics and engineering, may set the criteria for attainment as a 75% score onthe HW. This criteria is
, and sound synthesis and electronics for musical applications.Mr. Sergey Dusheyko, San Francisco State University I received my BS in mechanical engineering from San Francisco State University in the Summer of 2013. During my time there I worked on two projects as a member of the Biomechatronics Research Laboratory. On these projects I was responsible, in part, for mechanical design and three dimensional model rendering. Since graduating I have worked as a mechanical engineer for a hydrogeological technology start up.McKenzie Suzanne Campagna, San Francisco State UniversityDr. Ozkan Celik, San Francisco State University Ozkan Celik joined San Francisco State University (SFSU) in August 2011 as an Assistant Professor of
, Page 25.104.8a project report etc. This approach is consistent with the notion of direct assessment andleverages the fact that the instructor is going to evaluate the chosen component irrespective ofthe assessment need, since it contributes to the course grade. The instructor is also asked to set acriteria that reflects the demonstration of the particular outcome. For example an instructor,having chosen a homework on uncertainty analysis as the activity to reflect ability to applyknowledge of mathematics and engineering, may set the criteria for attainment as a 75% score onthe HW. This criteria is instructor dependent since instructors are in best position to judge thedifficulty level of the problem. Finally the instructor simply reports the
take up to four coursesincluding this one. All of the students in the program also participate in an industry project ledby an engineer from a local corporation. One major limitation is that there will only be about 16hours of instruction time for this course.ContentCurricular PrioritiesWiggins and McTighe (1998) discuss three facets of understanding to help learners graspmaterial. The first is enduring understanding and these are the big ideas that the learners shouldbe able to understand even if they have forgotten the course details. The second is important to Page 25.115.2know and this is important knowledge and skills that is considered
this project was to develop anunderstanding of how the original engines worked. This paper provides authentic design andoperating data collected from historical documents for an actual Newcomen engine andillustrates the thermo-fluids analyses of this reverse-engineering portion of the design project.Today’s students should be aware of significant historical developments as part of theirengineering education. The types of analyses included in this paper allow for relatively easyintegration into existing thermo-fluids courses and, at the same time, allow for development ofan appreciation for the history of steam engineering and its contribution to the engineeringprofession.introductionThe year 2012 marks the tercentenary of a significant
using amodern engineering tool. One significant advantage is that we can solve symbolic equations forany variable value. Therefore, the design process generally requires solving problems over arange of variable values to obtain a satisfactory design. An essential part of our approach iseducating our students to question, test, and verify “answers” to all of their problem solutions.Verifying answers is done by developing and implementing test case scenarios to verify theproblem’s validity. Lecture examples and homework problems throughout the course are solvedwith all equations formulated symbolically, and test cases are used to verify the equations. Thecircular shaft design project is divided into multiple phases. Each phase of the project
), 375-381.6. Cowan, D. (2006). Adopt a building project: Utilizing the existing (case studies) to teach construction. Paper presented at the annual meeting of American Society for Engineering Education, Chicago, IL.7. Yadav, A. "Video Cases in Teacher Education: What Role Does Task Play in Learning from Video Cases in Two Elementary Education Literacy Methods Courses?" Doctoral Dissertation, Michigan State University, 2006.8. Lundeberg, M A, and A Yadav. "Assessment of Case Study Teaching: Where Do We Go from Here? Part I." Journal of College Science Teaching 35, no. 5 (2006): 10-13.9. Lundeberg, M A, and A Yadav. "Assessment of Case Study Teaching: Where Do We Go from Here? Part 2." Journal of College
above discussions of entropy and 2nd law control volume selection are generally well received the author still sees the projection of a physical meaning to entropy as one of the greatest challenges in Thermodynamic instruction. References [1] A.C.Foley(2007)Escape from Carnot : A new way to introduce the mysterious property, entropy. ASEE 2007 National convention, Hawaii AC 2007-233 [2] Cengel. Y.A, Boles M.A (2008) Thermodynamics an engineering approach. Chapter 7, p395. 6th Ed. Mcgraw Hill. ISBN 978-0-07-352921-9 [3] A.C.Foley (2006) Applying the ‘catch all’ general control volume and the Reynolds transport equation to improve thermodynamic instruction.. ASEE National
courses in thermodynamics, heat transfer, energy systems laboratory, cryogenics, and vacuum technology.Mr. David J Gagnon, University of Wisconsin - Madison David J. Gagnon (University of Wisconsin, Madison) is a Discovery Fellow and program director of the Mobile Learning Lab in the Wisconsin Institutes for Discovery at University of Wisconsin, Madison. He directs a team of educational researchers, software engineers, artists and storytellers that explore the inter- sections of learning science and media design, specializing in mobile media, video games and simulation. David is also the Director of the ARIS project, a free and open tool that allows anyone to produce mo- bile games, stories and tours. He is also active