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Marking student programs using graph similarity
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DOI：10.1016/j.compedu.2009.09.005.png)
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We present a novel approach to the automated marking of student programming assignments. Our technique quantifies the structural similarity between unmarked student submissions and marked solutions, and is the basis by which we assign marks. This is accomplished through an efficient novel graph similarity measure (AssignSim). Our experiments show good correlation of assigned marks with that of a human marker. (C) 2009 Elsevier Ltd. All rights reserved.
Keyword:
Programming and programming languages
Computer-assisted assessment
Graph similarity
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10.5
论文数:
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被引数:
2.9W
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