Masters Thesis

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DEVELOPMENT OF COMPUTER BASED ANSWER SCRIPT EVALUATION SYSTEM
(2023-03-15) Md Nurul Amin
Computer-based evaluation of answer scripts is becoming increasingly important in the field of education. In this thesis, we propose a computer-based answer script evaluation system that evaluates both text and figures in answer scripts. For text evaluation, we consider two cases and use different methods for each case, including writing score, keyword matching score, Cosine similarity score, NLP-based cosine similarity score, and plagiarism matching score. Our system achieves high accuracy scores of 83% and 85% for each case, respectively. For figure evaluation, we use cosine similarity and Euclidean distance techniques, achieving accuracy scores of 85% and 72%, respectively. Our system provides a robust and reliable way to evaluate answer scripts in an automated manner. By using a combination of different evaluation techniques, we are able to effectively evaluate both text and figures, improving the accuracy of the overall evaluation. This system has the potential to greatly reduce the workload of educators, while also providing students with more immediate feedback on their work. Overall, our system represents a significant step forward in the field of automated answer script evaluation.