administered to first-year students who were enrolled in the College ofTechnology at Purdue University. It did not capture information from students who wereaccepted and chose not to attend. Capturing data from that population could be helpful indetermining how to increase the yield of students who are accepted and choose not to attend.Bibliography 1) Kaplan A., Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of social media. Business Horizons, 53(1), 59-68. doi:10.1016/j.bushor.2009.09.003 2) Sadowski, M. A., Birchman, J. A., Karcher, B. X. (2012). A study to examine the role of print, web, and social media for recruiting students. Global Graphics: An educational perspective, 66th Mid-Year
future of design education’." Design and Technology: An international Journal 15(3): 10 - 17. 15. Pryor, J. Torrence, H. (1998). Formative Assessment in the Classroom: Where Psychological Theory Meets Social Practice. Social Psychology of Education 2: 151–176, 16. Sadler, D. Royce (1989). Formative assessment and the design of instructional systems. Instructional Science, 18, 119–144. 17. Rust, C., O’Donovan, B., & Price, M., (2005): A social constructivist assessment process model: how the research literature shows us this could be best practice, Assessment & Evaluation in Higher Education, 30:3, 231-240 18. Lane, D., Seery, N., Gordon, S. (2010). A Paradigm for Promoting Visual
Peters, M. (2010). Sex Differences in Mental Rotation and Line Angle Judgments are Positively Associated with Gender Equity and Economic Development across 53 Nations. Archives of Sexual Behavior, 39(4), 990-997.Medina, A. C., Gerson, H. B. P., & Sorby, S. A. (1998). Identifying gender differences in the 3-D visualization skills of engineering students in Brazil and in the United States. Proceedings of the International Conference for Engineering Education 1998, Rio de Janeiro, Brazil.Study, N. E. (2003). A comparison of test scores of minority vs. non-minority students on the Purdue spatial visualization test: Visualization of rotations. Proceedings of the ASEE Engineering Design Graphics Division Mid-year Meeting (182-188
. Page 25.26.1 c American Society for Engineering Education, 2012 A Comparative Analysis of 3D Parametric Surface Modeling and Freeform Mesh Modeling as Tools for Investigating Student LearningAbstractThis paper investigates the effectiveness with which similar outputs can be produced fromtwo 3D CAD packages that employ different modeling approaches. The modeling approachesin question are parametric NURBS1 (Non-Uniform Rational B-Spline) surface modeling andpolygonal freeform modeling. The former refers to the creation of organic geometry using 2Dsketches and building standalone faces between sketches fig1, the latter refers to taking anexisting geometric shape and
occurring.because it is higher than it and then It would seem that their initial thoughts are onsomething will have to go under it size and volume.to make it tilt then" One of the students has posed a question andTime: 00:34 now begins investigating himself. HeStudent B: "Is this edge the same recognised that the edge length of thelength as that diagonal so it would tetrahedron is the same as the short
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AC 2012-4305: THE ROLE OF OBSERVATIONAL SKETCHING IN FORM-ING AND MANIPULATING GRAPHICAL LIBRARIESDr. Diarmaid Lane, University of LimerickDr. AJ Hamlin, Michigan Technological University AJ Hamlin is a Senior Lecturer in the Department of Engineering Fundamentals at Michigan Techno- logical University, where she teaches first year engineering courses, including an Introduction to Spatial Visualization course. Her research interests include spatial visualization and educational methods. She is an active member in the Engineering Design Graphics Division of ASEE and is currently serving as the Associate Editor of the Engineering Design Graphics Journal.Ms. Norma L. Veurink, Michigan Technological UniversityDr. Niall
programs and engineering design activities. Has thischange in emphasis come at the expense of students being able to correctly read complexengineering drawings?During the Spring 2011 semester, a pilot study was conducted in a junior-level constraint-basedmodeling course where twenty-nine students were asked to model as many of the seven partsgiven in an assembly drawing of a device within a 110 minute class period 4. The main purposeof this pilot study was to determine the procedures necessary for this type of assessment in aclassroom setting. The parts in the assembly ranged in complexity from a ball to a valve body.Students were given a ruler to measure parts on the B-size drawing and determine sizes offeatures based on the given scale (2:1
Design Graphics Journal, 62(2), 16-34. 5. Bodner, G. M. and Guay, R. B. (1997). The Purdue visualization of rotations test. The Chemical Educator. 2 (4), 38. 6. Pintrich, P. R., Smith, D. A. F., Garcia, T., & McKeachie, W. J. (1993). Reliability and predictive validity of the Motivated Strategies for Learning Questionnaire (MSLQ). Educational and Psychological Measurement, 53, 801-813. 7. Duncan, T.G. & McKeachie, W.J. (2005). The making of the Motivated Strategies for Learning Questionnaire. Educational Psychologist. 40(2), 117-128. 8. Sheskin, D.J. (2007). Handbook of Parametric and Nonparametric Statistical Procedures. (4th ed.) Washington, DC: Chapman and Hall/CRC
AC 2012-4019: ENGINEERING DESIGN SOFTWARE IMPLEMENTATION:HOW ONE ENGINEERING FIRM SUCCESSFULLY IMPLEMENTED AU-TOCAD CIVIL 3DMrs. Sonya Bond Overstreet, EMH&T Sonya Overstreet is the Production Support Manager at EMH&T, one of Ohio’s premier engineering firms. Overstreet’s many years of experience in the engineering field have provided her with a broad technical background in civil engineering and commercial development. With her technical and organi- zational skills, Overstreet manages the integration, use, support, and advancement of AutoCAD and other similar design software products throughout EMH&T. Overstreet earned a bachelor’s of arts degree in organizational communication and is currently pursuing her
for increasedstudent success. The enhanced methodology includes three steps. The first is Pre-Test: thePSVT-R test to assess students’ spatial visualization skills created by Purdue University, apartner school in the ENGAGE project, was given to all engineering and science freshmanstudents at Kettering University. The second step is Remediation: based on the results, allstudents who scored lower than 60% were required to take a spatial visualization course whichwas developed as one of the deliverables in the NSF-ENGAGE grant. The third step is Post-Test:by testing students’ spatial visualization skills after the spatial visualization training, all thestudents who participated the training passed the post test. Further enhancements to the