Abstract—Although automatic scoring systems for multiple
choice questions already exist, they are still restrictive and use
specialised and expensive tools. In this paper, an automated
scoring system is proposed to reduce the cost and processing
restrictions by taking advantage of image processing technology.
The proposed method enables the user to print the answer
sheets and subsequently scan them by an off-the-shelf scanner.
In addition, a personal computer can process all the scanned
sheets automatically. After scoring, the proposed system
annotates the sheets with feedback and send them back to
students via email. Moreover, two novel features are introduced.
The first feature is the handwriting recognition method to
recognize student ID. We called this the segmented handwritten
character recognition. This new method replaces the
conventional student ID recognition commonly known as the
Matrix Identifier. The second feature is our specially designed
answer sheet that allows students to easily change their answers
with multiple attempts. As a result, there is no need to erase
pencil shading or change the entire answer sheet if any mistake
happened during the test. The proposed system is designed to be
cheap and fast.
Index Terms—OMR, OCR, MCQ, assessment, scoring systems, answer sheets.
The authors are with the School of Engineering, Edith Cowan University, Perth, Australia (e-mail: firstname.lastname@example.org, email@example.com).
Cite: M. Alomran and D. Chai, "Automated Scoring System for Multiple Choice Test with Quick Feedback," International Journal of Information and Education Technology vol. 8, no. 8, pp. 538-545, 2018.