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
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.
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.
