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Learning and automatically assessing graph-based diagrams

Thomas, Pete; Smith, Neil and Waugh, Kevin (2007). Learning and automatically assessing graph-based diagrams. In: ALT-C 2007: Beyond Control, Learning Technology for the social network generation, 4-6 Sep 2007, Nottingham, UK.

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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.

Item Type: Conference or Workshop Item
Copyright Holders: 2007 The Author
Extra Information: 14th International Conference of the Association for Learning Technology
Academic Unit/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)
Related URLs:
Item ID: 19372
Depositing User: Kevin Waugh
Date Deposited: 08 Jan 2010 10:36
Last Modified: 07 Dec 2018 09:30
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