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Improving Engineering Graphics Grading Using a Shape Similarity Algorithm: An Initial Investigation

[+] Author Affiliations
Rahul Renu, Anthony Garland, Sarah Grigg, John Minor, Nighat Yasmin

Clemson University, Clemson, SC

Paper No. DETC2016-59597, pp. V003T04A018; 8 pages
doi:10.1115/DETC2016-59597
From:
  • ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 3: 18th International Conference on Advanced Vehicle Technologies; 13th International Conference on Design Education; 9th Frontiers in Biomedical Devices
  • Charlotte, North Carolina, USA, August 21–24, 2016
  • Conference Sponsors: Design Engineering Division, Computers and Information in Engineering Division
  • ISBN: 978-0-7918-5013-8
  • Copyright © 2016 by ASME

abstract

Each year, over 700 students take the Engineering Graphics course taught within the General Engineering Program at Clemson University. A SCALE-UP (Student-Centered Activities for Large-Enrollment Undergraduate Programs) environment is utilized to provide a highly collaborative, hands-on classroom format with a primary emphasis on learning by guided inquiry and live demonstrations rather than by traditional lecturing. One of the goals of using this format is real-time assistance and rapid feedback.

In the spring term, each class day, 400 student submit a solid model file. This presents a challenge to returning feedback before the next class period. The current grading method consists of students submitting solid model files to a course management system and awarding credit for submissions matching the mass of the presented design. However, this method does not allow students to earn partial credit based on the relative accuracy of their model. To date, instructors have been unable to reward partial credit in an automated or timely manner.

The objective of this research is to evaluate the use of shape similarity algorithms to provide decision making support while grading solid models for this engineering graphics course. The proposed method of automated grading is to use a solid model similarity algorithm and the mass properties to assess the relative similarity of each submission to a correct solid model. The distribution of grades using the proposed method is compared to the existing method’s distribution. Use of the proposed method ensures that the results from this research can be applied to other engineering graphics courses, regardless of the solid modeling software used.

Copyright © 2016 by ASME

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