Full Content is available to subscribers

Subscribe/Learn More  >

Correlating Problem/Process Exam Question Complexity to Anticipated Effort: A Modeling Protocol

[+] Author Affiliations
Samantha Thoe, Joshua D. Summers

Clemson University, Clemson, SC

Paper No. DETC2013-12301, pp. V001T04A012; 9 pages
  • ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 1: 15th International Conference on Advanced Vehicle Technologies; 10th International Conference on Design Education; 7th International Conference on Micro- and Nanosystems
  • Portland, Oregon, USA, August 4–7, 2013
  • Conference Sponsors: Design Engineering Division, Computers and Information in Engineering Division
  • ISBN: 978-0-7918-5584-3
  • Copyright © 2013 by ASME


This paper presents the initial investigation of the use of complexity as a surrogate for problem difficulty in predicting the effort or point value of an exam problem. In previous research, complexity of graph-based models has been used to predict market value of products using function models and to predict assembly time from connectivity graphs. This research investigates the potential of applying graphical representations and complexity metrics for exam problem solutions using expert assigned values as an appropriate method to offer point values for new exam questions. The factors and sources of problem difficulty are examined and compared to the structural complexity of a graphical representation of the problem solution. Specifically, this paper presents a protocol for developing the graphical representation. Multiple participants used the protocol to create graphical models of three exam questions to test and validate the usability of the protocol. A secondary protocol was tested to improve the rater agreement for use of the protocol. This protocol will be used for transforming exam problems into graphical models that can be analyzed with the connectivity complexity metrics. These metrics will be used to create predictive models for point assignments based on historical data.

Copyright © 2013 by ASME



Interactive Graphics


Country-Specific Mortality and Growth Failure in Infancy and Yound Children and Association With Material Stature

Use interactive graphics and maps to view and sort country-specific infant and early dhildhood mortality and growth failure data and their association with maternal

Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In