Supporting automated grading of formative multiple choice exams by introducing student identifier matrices

Supporting automated grading of formative multiple choice exams by introducing student identifier matrices

We propose a solution which enables automated attribution of formative exams to students. We define the student identifier matrix, which is a graphical representation of a student ID number. The matrix is annotated by the student during the exam. We introduce a robust image processing procedure whic...

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Bibliographic Details
Published in:2011 Proceedings of the 34th International Convention MIPRO pp. 993 - 998
Main Authors: Cupic, M., Brkic, K., Hrkac, T., Kalafatic, Z.
Format: Conference Proceeding
Language:English
Published: IEEE 01-05-2011
Subjects:
Equations
Image edge detection
Mathematical model
Minimization
Pixel
Robustness
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Summary:We propose a solution which enables automated attribution of formative exams to students. We define the student identifier matrix, which is a graphical representation of a student ID number. The matrix is annotated by the student during the exam. We introduce a robust image processing procedure which enables automated recovery of the student ID from the matrix. We show that the proposed procedure achieves a recognition rate of 100% on 296 samples in presence of skewing, rotation and offsets introduced by the printing and the scanning processes.
ISBN:9781457709968
1457709961