Efficient Subjective Answer Evaluation in E-Learning: Leveraging AI for Automated Scoring

Authors : Sathea Sree.S; L.Nalini Joseph

Volume/Issue : Volume 8 - 2023, Issue 11 - November

Google Scholar : https://tinyurl.com/483hbnub

Scribd : https://tinyurl.com/jped2njz

DOI : https://doi.org/10.5281/zenodo.10082859

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.


Paper Submission Last Date
31 - December - 2023

Paper Review Notification
In 1-2 Days

Paper Publishing
In 2-3 Days

Video Explanation for Published paper

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.