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Thomas, Pete; Smith, Neil and Waugh, Kevin
(2007).
URL: http://www.alt.ac.uk/altc2007/
Abstract
To date there has been very little work on the machine understanding of imprecise diagrams - diagrams drawn by students in response to assessment questions. While there have successful attempts at assessing text (essays) automatically, little success with diagrams has been reported. In this paper, we explain an approach to the automatic interpretation of graph-based diagrams based on a 5-stage framework. The paper reports on the evaluation of some experiments in automatically grading student diagrams produced under examination conditions which show good agreement with the performance of human markers. The paper also describes how the automatic marking algorithm is being used in a variety of teaching and learning tools.
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- Item ORO ID
- 19372
- Item Type
- Conference or Workshop Item
- Extra Information
- 14th International Conference of the Association for Learning Technology
- Academic Unit or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM) - Research Group
- Centre for Research in Computing (CRC)
- Copyright Holders
- © 2007 The Author
- Related URLs
- Depositing User
- Kevin Waugh