Paper ID #7272Intradepartmental Collaboration to Improve the Quality of Engineering Draw-ings Created by Students in Senior Design ProjectDr. Andy S Zhang, New York City College of Technology of CUNY Professor Andy S. Zhang earned his master’s in mechanical engineering from the City College of New York in 1987 and his Ph.D. in mechanical engineering from the Graduate Center of the City University of New York in 1995. Prior joining the Mechanical Engineering Technology department at City Tech, he served as an engineering instructor for the JUMP, an engineering training program sponsored by the New York State Department of
-composites, computer integrated design, process planning and manufacturing, online design catalogs, and web-based collaboration.Dr. El-Sayed S. Aziz, Stevens Institute of Technology (SES) Dr. El-Sayed Aziz holds a faculty position as Associate Professor in the Production Engineering and Mechanical Design Department at Faculty of Engineering, Mansoura University, Egypt. Currently, he is working as a research scientist at Stevens Institute of Technology, Hoboken, New Jersey, USA. He received B.S. and M.S. Degrees in Mechanical Engineering from Mansoura University, Egypt, in 1991 and a Ph.D. in Mechanical Engineering from Stevens Institute of Technology in 2003. His research interests include knowledge-based engineering
-authored over 60 research papers. He is honored with Undergraduate Educator Award in 2012 and Geoffrey G. Eichholz Faculty Teaching Award in 2015 from the Center for Enhancement of Teaching and Learning (CETL) at Georgia Tech.Bryan Levy, Georgia Institute of Technology Bryan Levy is a graduate student at Georgia Institute of Technology. He obtained his Bachelor’s degree from Georgia Tech and is currently obtaining a Master’s degree from the same institute. His research primarily focuses in the impact of maker spaces on students and design problem equivalency as it pertains to assessing creativity.Dr. Julie S. Linsey, Georgia Institute of Technology Dr. Julie S. Linsey is an Associate Professor in the George W. Woodruff
graphics content andshows the statistical significance of the differences from the experimental group.Table 1: Average grades in freshmen engineering courses with significant graphics content andstatistical significance of difference from the experimental group (Grades from students withmatriculation dates between fall 1996 and fall 2002.) Marginally CG EG Passed PSVT:R CAD 3.28 3.38 3.32 N.S. N.S. (s=1.059, n=31) (s=0.927, n=47) (s=0.824, n=26) Graphics/sketching 2.81
,thentheydonothavetheopportunitytodemonstratepersistence.ResultsTheresultsareanalyzedbyseparatingtheclassintothreegroupsbasedupontheirpre-testscores,Low(<=70%),Mid(70%=90%).Forcomparison,theresultsoftheearliesttrialsinthegroupfrom2014areshowninTable1,andthelatesttrialinthegroupfromspring2017isshowninTable2. Table1.OverallPerformanceResultsforStudentsof AllTestGroupsinthe2014TrialinElectiveCourseMAE7. Pre Test Pre Test Pre Test Group: Low Group: Mid Group: High All Groups (n=13) (n=17) (n=22) (n=52) Avg. Pre-Test Score 53% s=9.8% 78% s=5.9% 93% s=4.4% 78% s=17.2% Avg. Post-Test Score 61% s=13.2% 87% s=7.9% 90% s=6.0% 82% s=15.0% Avg. Test
paper test in 2014 withthose taking the paper test in 2013 were found.Table 1: Comparison of average PSVT:R scores for first-time students (maximum scorepossible = 30) Type of test and year Average PSVT:R Average PSVT:R Average PSVT:R taken score score of females score of males LMS in 2014 22.5* 20.3 23.4** (s=4.88, n=430) (s=4.74, n=116) (s=4.66, n=314) Paper in 2014 23.8 20.8 24.5 (s=4.32, n=454) (s=4.39, n=90) (s=3.96, n=364) Paper in 2013 23.7 21.2 24.3
. The survey given in [REDACTED] [15] was slightlymodified to include additional questions concerning the respondents’ involvement in the hiringprocess (see Figure 3) and at which level of education the respondents had encountered aSOLIDWORKS certification exam(s) (see Figure 4). Table 1. Respondent DemographicsCategory Count (%) Category Count (%)Gender Employment status Male 35 (97.22) For-Profit Company 34 (94.44) Female 1 (2.78) Self-Employed 2 (5.56
activitieswith foam and wire models. Pre- and post- MRT scores of 62% and 81% respectively showincreasing gain of spatial visualization skill after training. In addition, it was found that thehands-on activities increase the students’ interest and awareness in descriptive geometry.7. References[1] Onyancha, R. M., Derov, M., and Kinsey, B. (2009). “Improvements in spatial ability as a result of targeted training and computer-aided design software use: Analyses of object geometries and rotation types.” J. Eng. Educ., Apr., 157–167.[2] Kadam, K., & Iyer, S. (2014). Improvement of Problem Solving Skills in Engineering Drawing Using Blender Based Mental Rotation Training. In Advanced Learning Technologies (ICALT), 2014 IEEE 14th
., & Iyer, S. (2014). Improvement of Problem Solving Skills in Engineering Drawing Using Blender Based Mental Rotation Training. In Advanced Learning Technologies (ICALT), 2014 IEEE 14th International Conference on (pp. 401-402). IEEE.[3] Piburn, M. D., Reynolds, S. J., McAuliffe, C., Leedy, D. E., Birk, J. P., & Johnson, J. K. (2005). The role of visualization in learning from computer‐based images. International Journal of Science Education, 27(5), 513-527.[4] Deno, J. A. (1995). The Relationship of Previous Experiences to Spatial Visualization Ability. Engineering Design Graphics Journal, 59(3), 5-17.[5] Crown, S. W. (2001). Improving visualization skills of engineering graphics students using simple
designed. CAD, which is the use of a wide-range of computer-based tools fordesigning and developing products, is an important geometry-authoring tool for the productlifecycle management. It ranges from 2D vector-based drafting systems to 3D parametric surfaceand solid design modeling systems. In the product lifecycle a physical prototype can be producedfrom drawings or from a computer-aided manufacturing system (CAM). The prototype is thentested for design compliance and produced for mass production in the manufacturing division.When Internet technologies were adopted in the engineering design industry in the 1990's, workin engineering design was restructured. Collaboration is the trend of today in order to benefitboth higher education and
comparemultiple student files to an instructor's grading key. CADcompare augments the grading processof technical and engineering CAD drawings by highlighting differences that can be easily missedby a human grader, such as incorrect line type(s), color(s), or double lines (i.e., lines on top of eachother). Some CAD software has built-in comparison tools, however, none of the comparison toolsaccept PDF files to compare, are web-based applications, or can compare multiple student files atonce like CADcompare can. Grading engineering CAD drawings with accuracy and fairness cantake a lot of time, the intended use of CADcompare is to act as a grading tool to help instructorsgrade faster, more accurately, and without unintended bias. Spring 2017, a Windows
, quizzes (fixed-choice questions from the original workbook), and the software should be madeavailable to students on the university LMS.References[1] I. M. Smith, Spatial ability: its educational and social significance. San Diego, Calif.: R.R. Knapp, 1964.[2] D. L. Shea, D. Lubinski, and C. P. Benbow, “Importance of assessing spatial ability in intellectually talented young adolescents: A 20-year longitudinal study,” Journal of Educational Psychology, vol. 93, no. 3, pp. 604–614, 2001.[3] M. Kozhevnikov, M. A. Motes, and M. Hegarty, “Spatial Visualization in Physics Problem Solving,” Cognitive Science, vol. 31, no. 4, pp. 549–579, 2007, doi: https://doi.org/10.1080/15326900701399897.[4] S. Y. Yoon and E. L. Mann, “Exploring
being measured. The EGCI aims to measureunderstanding in engineering graphics concepts; thus, unrelated constructs that should not beassociated with an EGCI construct should not have a significant correlation with performance onthe instrument. For examples, high performance on the EGCI should correlate with performancein solid modeling courses or other courses requiring an understanding of engineering graphicsconcepts such as machine design or production design, that require the creation or reading oftechnical drawings, but perhaps not with performance in history or philosophy classes for thesame participants. Works Cited[1] Sadowski, M., & Sorby, S. (2014). (2014). Defining concepts for an
193 175 150 132 125 112 S tu d e n ts 100 75 63 50 47 25 12 0 00 01 02 03 04 05 20
with real-world examplesas compared to theoretical examples traditionally employed in introductory engineering graphicscourses.This material is based upon work supported by the National Science Foundation under Grant No.1725874. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.References[1] J. V. Ernst, T.O. Williams, A. C. Clark, and D. P. Kelly, “Psychometric properties of the PSVT:R Outcome Measure: A preliminary study of introductory engineering design graphics,” in 70th EDGD Midyear Conference Proceedings, Daytona, FL, USA, January 24-26, 2016.[2] S. A. Sorby and B. J. Baartmans
selection paths based on specific class or numerical valueof selected parameter (e.g., final test score). Each node represents a splitting rule for one specificattribute (e.g., answer to a test question). This analytic tool has as well the option to reducepredictive errors by searching for an optimal decision-tree development, according to a specifiedcriterion [12].The objective in this study is to search for dominant factors that predict positive test scoreimprovement when comparing pre-intervention to post-intervention evaluation of students’spatial visualization skills. Another goal is to identify influential test question(s) and/ordemographic factors that will move the predictive modeling efforts into a broader identificationand grouping of
, L., & Zembal-Saul,C. (2002). Making the case for the use of web-based portfolios in support of learning to teach. The Journal of Interactive Online Learning, 1 (2) 1-19.Barrett, H. C. (2005). Researching electronic portfolios and learner engagement. The Reflect Initiative; Researching Electronic Portfolios: Learning, Engagement, Collaboration, through Technology. Retrieved from http://ww.w.electronicportfolios.org/reflect/whitepaper.pdfBartholomew, S. R. (2017). Assessing open-ended design problems, Technology and Engineering Education Teacher, 76(6), pp. 13-17Bartholomew, S. R., Reeve, E., Veon, R., Goodridge, W., Stewardson, G., Lee, V., Nadelson, L. (2017). Mobile devices, self-directed learning
conference on Learning@ scaleconference, March, 2014, pp. 41-50.[5] M. K. Ardebili and A.M. Sadegh, A New Approach to Teaching Engineering Graphics UsingActive Learning and Product Realization, American Society for Engineering Education AnnualConference & Exposition, Salt Lake City, Utah, June 20-23, pp. 9.76.1-9.76.7, 2004.[6] G. Baronio, B. Motyl, P. Diego, “Technical Drawing Learning Tool‐Level 2: An interactiveself‐learning tool for teaching manufacturing dimensioning”, Computer Application inEngineering Education, vol. 24, no. 4, March, 2016.[7] V. Sriraman, J.D. Leon, “Teaching Geometric Dimensioning and Tolerancing in aManufacturing Program”, Journal of Industrial Technology, vol. 15, no. 3, p. 2-6, May-July1999.[8] S. A. Durham, W. M
mightbe true and that students, in fact, may be better than they used to be.Bibliography1. Gimmestad, B. J. (1989). “Gender differences in spatial visualization and predictors of success in anengineering design course.” Proceedings of the National Conference on Women in Mathematics and theSciences, St. Cloud, MN, 133-136.2. Terlecki, M. S. & Newcombe, N. S. (2005). “How Important Is the Digital Divide? The Relation ofComputer and Videogame Usage to Gender Differences in Mental Rotation Ability.” Sex Roles, 53 (5/6),433-441.3. Vandenberg, S. G., & Kuse, A.R. (1978). Mental rotations, a group test of three dimensional spatialvisualization. Perceptual and Motor Skills, 47, 599-604.4. Terlecki, M. S., Newcombe, N. S., & Little, M. (2008
students’ creativity ingenerating ideas within the context of design problems, an assessment more directlyfocused on the idea generation phase of the design process would be more suitable forour research. We plan to use a set of idea generation problems which have been usedsuccessfully in the past to measure outcomes related to creativity in idea generation.In future work, student ideation artifacts and projects will also be examined through thelens of the MPCA(18). Even though the metric requires raters and does not exhibit highreliability, the fact that the metric is broken down by function may allow us to better tracethe source(s) of a high or low creativity score than could be determined from a single,simple rating.A variety of research tools
their thinking. As students review each other‟s screencasts, their own thinking and metacognition will be re-evaluated from another learner‟s perspective who is not necessarily a teacher or a textbookauthor. Learning from peers is more authentic and more sustainable than learning from atextbook or from a teacher17. In addition, receiving peers‟ comments on their own screencastadds to these metacognitive items that will eventually help improve their CAD knowledge andskills. In this National Science Foundation (NSF) project, two mechanical engineering faculty andtwo learning scientists have collaborated to implement a student-centered instructional strategy,namely peer-generated screencast strategy in teaching CAD in the undergraduate
be taught as a flipped classroom or traditional lecture format (without the videodemos), and B) whether they preferred their other courses to be taught in a flipped classroom ortraditional lecture format. • “I really liked the flipped-classroom format of this class because CAD requires a lot of kinesthetic and visual learning since we are learning how to utilize SOLIDWORKS and apply the software’s tool[s] to reach a desired product…Since the class was flipped and attendance was mostly up to each student’s needs, I had the opportunity to manage my workload according to both CAD and my other classes which is something invaluable both as a focused student and commuter.” • “I really enjoyed how this class
inthis study is RapidMiner, and different subsets of data are utilized in the machine learning phase,thus reaching more robust predictive conclusions.IntroductionIt is almost ubiquitous nowadays to read or hear about trends or conclusion(s) that have beenestablished with the application of data analytics techniques to consumers’ information, frompreference in terms of flavor or color, to behavioral trends in terms of purchasing online ortendency to walk short distances [1]. The field of data analytics has received substantial attentionin the past years due in part to the competition level in a globalized economy, which has resultedin the almost imperative need for focused or personalized services, thus resulting in this globaltrend of collecting
Research, vol. 13, p. 24. 4. A. W. Combs, "Fostering maximum development of the individual," Issues in secondary education, pp. 65-87, 1976 5. S. J. Brown, A. Collins, and P. Duguid, ” Situated Cognition and the Culture of Learning”, Educational Researcher, Vol. 18, No. 1, pp. 32-42, 1989. 6. J. Choi, and M. Hannafin, “Situated cognition and learning environments: roles, structures, and implications for design”, Journal of Educational Technology Research and Development, 43 (2) pp. 53 – 69, 1995 7. R. P. Khotimah and M. Masduki, “Improving teaching quality and problem solving ability through contextual teaching and learning in differential equations: a lesson study approach”, Journal of Research and
thing that has changed. As times have changed so has thevisual representation for the Division. The first logo that was used in the Engineering DesignGraphics Journal was in the 1970’s. This logo was implemented by Jim Earle and was only usedfor several years and for whatever reason was discontinued. The next appearance of a Divisionlogo was in the late 80’s. The editor was Barry Crittenden and the designer was Peter Miller.This logo was used fairly consistently through 1993. In 1993 a contest was held and a new logoselected. Mary Sadowski was the editor at the time. In the late 1990’s Judy Birchman was theeditor and a different logo was used. These dates are approximate; however, they give us a feelfor some of the changes in the Division over
detailed engineering drawings, animations, and photorealisticrenderings. Typically, each week (two class periods) consisted of the following: Period 1: o Instructor presented the lesson(s) overview PowerPoint to the students. o Students were assigned to complete the lesson(s). The instructor emphasized following the guide with great detail and accuracy. Period 2: o Class reviewed the previous lesson(s). Instructor displayed and discussed modeling practices/procedures for the corresponding models provided in the lesson(s). o Instructor administered an online quiz in regard to that weeks’ lesson(s) o Students were assigned to complete the lesson(s
is applicable across CAD software packages and independent of instructorbackground.BackgroundA Concept Inventory is a tool that uses a multiple choice assessment with carefully chosendistractors. These distractors are typically influenced by student responses to find commonlymisconceived concepts. The engineering graphics CI is framed around 10 main conceptsidentified by a Delphi study comprised of graphics professionals [2]. More information regardingthe origin of this particular CI and the Delphi study can be found in Sadowski, M and Sorby, S.2013 and 2014.Solid modeling constructs were identified as important by the Delphi panel [3] but the pilot studyof the CI using the original CAD-related questions developed by the researchers did not
students (PostBac not included) PostBac 2.49 2.00 2.21 2.23 0.36 2.29 students Significance Not Not Not Not significant significant significant significant at 5% at 5% at 5% at 5% We will track dental school graduation rates of the PostBac program students. Furthermore, we intend to investigate the differences in gender and corresponding scores.References1. Bennett, G.K., Seashore, H. G., & Wesman, A. G. (1973). Differential aptitude tests, forms S and T. New York: The Psychological Corporation.2. Gray, S. A
program than GPA, such as grades in specificcourses.AcknowledgementsThis work was conducted under IRB 2017-011(N) and grew out of work started under the NSFEngage Project, Award #0833076, at Stevens Institute of Technology.References[1] Sorby, S., “Educational Research in Developing 3-D Spatial Skills for Engineering Students,” International Journal of Science Education, vol. 31, no. 3, 2009, pp. 459-480.[2] Norman, K.L., Spatial visualization – A gateway to computer-based technology. Journal of Special Educational Technology, XII(3), 1994, pp. 195–206.[3] Smith, I.M., Spatial ability - Its educational and social significance. London: University of London, 1964.[4] Wai, J., Lubinski, D., and Benbow, C.P., “Spatial ability for STEM
faced many challenges,not only with the rapid growth of the program, but with the large number of updates andtechnological advances in that time period. C G T C la s s O ffe rin g 70 60 50 C las s es O ffe re d 40 30 C la s s e s o ffered 20 10 Page 11.848.2 0 00 -01 01 -0 2 0