Publication Date: 2023/11/08
Abstract: Online education is becoming increasingly prevalent, and the need for effective evaluation methods in this context is more critical than ever. This research addresses the challenge of assessing subjective answers in online examinations efficiently. Our software application utilizes artificial intelligence (AI) to automate the process of scoring subjective responses. It involves storing original answers provided by administrators, and when a user takes a test, their answers are compared to the stored originals. The system employs AI techniques to assess answers, accounting for variations in language and expression. The key objective is to enhance the accuracy and speed of the evaluation process, while reducing the administrative burden. This work not only offers a practical solution for e-learning environments but also opens the door to continuous improvement through the integration of evolving AI technologies.
Keywords: E-Learning, Automated Scoring, Language variation, Accuracy.
DOI: https://doi.org/10.5281/zenodo.10082859
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT23NOV155.pdf
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