Abstract: It’s been noticed that a variety of students apply for all sorts of examinations including institutional, non-institutional and at times even competitive. Some exams are objective in nature i.e. We are dealing with multiple choice questions. Automated scoring is sorted in such situations. Automation of scoring for subjective paper is still something that we are struggling with. In this research paper the main goal is to design an algorithm that automates answer evaluation and provide an automated score using Artificial intelligence technology such that human effort can be reduced while the quality of scoring is maintained. The main idea behind this paper is that of automatic text similarity. This concept is used to check the answer provided by students matched with the correct ones and then scored automatically.

Keyword: Assessment, Subjective, Automated, Score, Evaluation, Examination

| DOI: 10.17148/IARJSET.2021.81150