find the motivation in order to get certification.References[1] Seetha, S. (2012). Communication Skills for Engineers in Global Arena. International Journal on Arts, Management and Humanities, 1(1), 1-6.[2] Dukhan N, Rayess N. On teaching non-technical skills for the engineers of 2020, QScience Proceedings (World Congress on Engineering Education 2013) 2014:9 http://dx.doi.org/10.5339/qproc.2014.wcee2013.[3] Gell-Mann, M. (1996). A commentary to R Schank. In J.Brockman (Ed.), The third culture: beyond the scientific revolution. New York: Touchtone Books, 167–180.[4] Bloom, B. S. (1956). Taxonomy of educational objectives, book 1, cognitive domain. New York: Longman.[5] Good, T. L. & Brophy, J. E. (1990
., Jassemnejad, B., Judd, E., Ring, B. P., Henderson, A. W., Amstrong, G. M. Implementing a Flipped Classroom in Thermodynamics. Proceedings, American Society for Engineering Education. San Antonio. June 2012.[16] Ling N.G. Flipping a CAD Classroom Proceedings, Advances in Technology Education. Singapore. September 2014.[17] Yip-Hoi D. M. Enhancing a Blended Learning Approach to CAD Instruction using Lean Manufacturing Principles Proceedings, American Society for Engineering Education. Seattle June 2015.
of engineering students in technical drawing from visualization test scores", Journal of Geometry and Graphics Vol. 6, No. 1, 2002, pp. 99- 109.9. Veurink, N., and Sorby, S.A., “Raising the Bar? Longitudinal Study to Determine which Students Would Most Benefit from Spatial Training”, ASEE Annual Conference, Vancouver, B.C., Canada, 2011.10. Hill, C., Corbett, C., and St Rose, A., “Why So Few? Women in Science, Technology, Engineering, and Mathematics”, ERIC, 2010.11. Sorby, S., A., Wysocki, A. F., and Baartmans, B. J., “Introduction to 3D Spatial Visualization: An Active Approach (Book and CD), Published by Delmar Cengage Learning, 2003.12. Sorby, S.A., "Educational research in developing 3-D spatial skills for engineering
: 1. Is there consistent results for the overall model score between the three raters? 2. Are there consistent results for the individual categories between the three raters?MethodologyDuring the Fall 2015 semester, 51 technology students completed the second exam in anintroductory engineering graphics course on the 15th day of class. The exam consisted ofmultiple-choice and matching items used to assess textbook information related to introductoryconstraint-based modeling. The exam also included two constraint-based modeling activities(Figures 2 & 3). For the two activities, students were asked to model the objects with the givendimensions first. They were given the correct values for the distance between points A & B, thearea of
graphics hasyielded valuable insights thus far. The phenomenon of expert-blind-spots has beenrevealed numerous times in the creation and evaluation of pilot items. This occurswhen practitioners reach a high enough level of proficiency that it impedes their abilityto relate to beginner mistakes. Items whose inclusion in the pilot study were questionedby one or more researchers tended to generate a range of unexpected responses. Therewere several responses that seemed beyond the comprehension of the researchers, as itseemed so against what was ingrained in graphics convention and practice.References1 Pleck, M. H., Mcgrath, M. B., Bertoline, G. R., Bowers, D. H., & Sadowski, M. A. (1990). Factors Affecting the Engineering Design
screencast Management Making Sharing and Disscussion OK? and Retaining NO Fig.1 The process of database management and retaining The students in the experimental groups were divided into small teams with four to sixstudents in each team. Screencast homework was given to students and all project activities wereconducted in teams. Each student in a team was assigned with a tag A or B: “tag A” forgenerating a screencast and “tag B” for providing comments. Students with different tags tookone of the two following roles: either making the screencasts or providing comments. Screencastexercises were designed to promote self-learning
Paper ID #15202Is Condensed Better? Comparison of a Condensed Spatial Training Courseto a Semester-long VersionMs. Norma L. Veurink, Michigan Technological University Norma Veurink is a Senior Lecturer in the Engineering Fundamentals Department at Michigan Techno- logical University where she teaches introductory engineering courses and a spatial visualization course designed for engineering students with poorly developed spatial visualization skills. Ms. Veurink man- ages several summer programs that introduce middle and high school students to engineering. She is active in the Engineering Design Graphics Division of
Paper ID #15834Development and Evaluation of a Computer Program to Assess Student CADModelsDr. Steven Joseph Kirstukas, Central Connecticut State University Steve Kirstukas is an Associate Professor at CCSU, where he teaches courses in solid modeling, MATLAB programming, and engineering mechanics. He is exploring the use of computer-aided assessment of CAD files to give consistent, accurate, and quick feedback to students. He has degrees in civil and mechanical engineering, with a Ph.D. from the University of Minnesota. Steve has worked in industry as a civil engineer, software developer, biomechanics researcher, and
Paper ID #17482The Effect of Soft Classroom: A New Learning Environment IntegratingMOOCs into Conventional Classrooms for College StudentsProf. Shih-Chung Jessy Kang P.E., National Taiwan UniversityYifen Li, National Taiwan University A graduate Student of Civil Engineering, National Taiwan University.Dr. ChingMei Tseng c American Society for Engineering Education, 2016 The Effect of the Soft Classroom: A New Learning Environment integrating MOOCs into Conventional Classrooms for University Students!!Abstract !In the last two decades, new insights into the nature of teaching
smooth.b) Two cylinders rest in a trough, as shown in Figure 1-b. Determine the forces acting at points P, Q, R, and S.Solve both problems analytically and graphically (solid modeling), using one method to verifythe other.a) b)c) d)Figure 1 Graphical solution. (Upper figures a) and b) present the problem, lower figures c) and d)show a students solution )Observations: The problem depicted in Figure 1 a) was assigned first and there was some studentquestioning of the value of solving the problem graphically. When the problem shown in Figure1 b) was assigned, the questions changed to is the analytical solution necessary? The analyticalsolution requires some
existing, assigned, paper-basedengineering graphics problems. Students solve paper based problems while being able to see and“touch” the model with the MR application that is compiled for the Moverio see-through glasses.The Mobile App projects the model in front of the students’ eyes, allowing them to see the threedimensional (3D) representation of the objects in the problems right in front of them. This is asimilar experience to giving a real model of the problem to their hands which is not always possiblein large classes. Moverio has a mobile touchpad unit that is used to control the model and movethe user in a game-alike application. (A) (B) Figure 4 (A) Moverio
Modeling? Direct modeling is an intuitive approach to creating geometry without the burden ofhistory-based dependencies. History-based (procedural) parameterization of modelsrequires the user to thoughtfully consider the important model input/output parameters;independent dimensions are identified and defined by the user during model creation whiledependent dimensions are calculated based on procedure (history tree rebuild). However,instead of storing the sequence of feature creation, a direct model is based on the boundaryrepresentation (b-rep) of the solid. The model is regenerated based on a set of geometricconstraint equations rather than the sequential reconstruction of feature history. This is asimple but powerful method of specifying
list. A survey was then conducted at the end of Fall 2015 semester.MethodologyData SourceEnd of Course Survey: The end of course survey consists of 42 to 55 items. It wasadministered to students in all sections near the end of the Fall, 2015 semester. Thesurvey covered various components of the course. A subset of these survey items (13items) focused on assessing student patterns of use and perceptions of the variousideation methods introduced by the instructor. These ideation method survey itemsincluded a) a checklist grid in which students were asked to indicate whether they usedeach ideation method on each of three course projects, b) Likert-type items onperceptions of the ideation methods, and c) open-ended items on the ideation
% 84% Grade 82% 80% CGsection 78% GDsection 76% 74% 72% a b c d1 d2 d3 d4 d5 StudentcourselearningoutcomeFigure 6. Course assessment results for each learning outcomeThe common learning outcomes are:At the end of the course, students will demonstrate the ability to: a) Communicate mechanical designs via freeform, orthographic and axonometric hand sketching b) Read and interpret mechanical drawings of parts and assemblies c) Demonstrate familiarity
test might perhaps help in understanding this relation better. For future research, it would be interesting to see the rate of improvement of spatial visualization skills those classified as having low spatial ability would have at the end of the semester after having been exposed to the formal training; while observing which learning style group makes the most gain. References1. Connolly, P. (2009). Spatial ability improvement and curriculum content. Engineering Design Graphics Journal, 73(1).2. Carroll, J. B. (1993). Human cognitive abilities: A survey of factor-analytic studies. New York: Cambridge University Press.3. McGee, M. G. (1979). Human spatial abilities: Psychometric studies and
. Figure-2(a) Participant solving a problem by sketching Figure-2(b) Participant folding up the cardboard model The data collected included the final isometric sketch, the transcripts generated from therecorded audio/video while sketching and manipulating cardboard, and the interview. These datawere analyzed to understand patterns in problem solving adopted by the participants. Moreover,the primary goal was to understand the differences in the visualization process employed by eachindividual. Results After testing eight participants in the study, three essential strategies were observed based ondifferent strategies employed by the
Paper ID #16280ACAT Assessment of Grade-based and Outcome-based CriteriaJohn Glossner, Daniel Webster College Dr. John Glossner is President of the Heterogeneous System Architecture Foundation (HSAF) and CEO of Optimum Semiconductor Technologies. OST and its processor division General Processor Technologies (GPT-US). He is also a professor of Computer Science at Daniel Webster College. Previously he served as Chair of the Board of the Wireless Innovation Forum. In 2010 he joined Wuxi DSP (a licensee of Sandbridge technology and parent company of OST) and was named a China 1000 Talents. He previously co-founded
Paper ID #17032Creativity Enhancement via Engineering Graphics: Conceptual Design Blend-ing ApproachNazmun Nahar, Utah State University Nazmun Nahar is a senior at Lehman College of the City University of New York. Her mantra in life is ”Cease conceiving of education as mere preparation for later life, and make it the full meaning of the present life.” Ever since she turned a teenager, she learned to value education as a tool that liberate us from the restrictions of our outlooks that limit our humanity. One of her dreams is to use education to enlighten people’s mind, and broaden their outlook to bring positive changes
Paper ID #15738Flipped Instruction in Engineering Graphics Courses: Current Landscapeand Preliminary Study Results of Instructors’ PerceptionsMr. Daniel P. Kelly, North Carolina State University Daniel P. Kelly is a doctoral student in the Technology Education Program at North Carolina State Uni- versity. Prior to his current position as a Graduate Research Assistant at NC State, Daniel was a middle and high school technology and engineering teacher in Durham and Wake Forest, North Carolina. Daniel has earned a BA in Physics from SUNY Potsdam and an MS in Technology Education from NC State. His thesis STEM Teacher
Paper ID #14610Investigating and Comparing Two Different CAD Methodologies to CreateTop-down AssembliesDr. Ibrahim F. Zeid, Northeastern University Ibrahim Zaid is a professor of mechanical, industrial, and manufacturing engineering at Northeastern Uni- versity. He received his Ph.D. degree from the University of Akron. Zeid has an international background. He received his B.S. (with highest honor) and M.S. from Cairo University in Egypt. He has received var- ious honors and awards both in Egypt and the United States. He is the recipient of both the Northeastern Excellence in Teaching Award and the SAE Ralph R. Teetor