AI Based E-Assessment System

EasyChair Preprint 2905, version 1

Abstract

We have seen that a number of students apply for various examinations which may be institutional, non-institutional or even competitive. The competitive exams mostly have objective or multiple choice questions(mcqs). The automation of scoring of subjective or descriptive answers is a need considered nowadays. This paper focuses on designing  an efficient algorithm that will automatically evaluate the answers given by students and assign a score based on the AI technologies which are as good as scores given by a human being.

Keyphrases: Online Subjective Answer Checker, descriptive, e-assessment, grammar, similarity

@booklet{EasyChair:2905,
  author    = {Saloni Kadam and Priyanka Tarachandani and Prajakta Vetal and Charusheela Nehete},
  title     = {AI Based E-Assessment System},
  howpublished = {EasyChair Preprint 2905},
  year      = {EasyChair, 2020}}