Machine Learning based an Adaptive Approach for Subjective Answer Evaluation

Authors

  • Chandrakant Kokane  Nutan Maharashtra Institute of Engineering and Technology, Pune, Maharashtra, India
  • Madhur Dhole  Nutan Maharashtra Institute of Engineering and Technology, Pune, Maharashtra, India
  • Vedant Kakade  Nutan Maharashtra Institute of Engineering and Technology, Pune, Maharashtra, India
  • Prathamesh Mane  Nutan Maharashtra Institute of Engineering and Technology, Pune, Maharashtra, India
  • Vilas Deotare  Nutan Maharashtra Institute of Engineering and Technology, Pune, Maharashtra, India
  • Chandrakant Kokane   Nutan Maharashtra Institute of Engineering and Technology, Pune, Maharashtra, India

Keywords:

Automated response verifier, response verifier, theory responses checker, matching responses.

Abstract

In the current context, examinations can be categorized into two distinct types: objective and subjective. Competitive exams typically fall under the multiple-choice question format, necessitating their administration and evaluation on computer screens. Presently, the majority of competitive exams are conducted online due to the substantial number of students participating in them. However, subjective exams, such as board exams, cannot be effectively conducted using computers. Consequently, the integration of Artificial Intelligence (AI) into our online examination systems becomes imperative. By implementing AI in the conduction of online exams, the assessment of subjective answers would be greatly facilitated. Additionally, this approach would yield results with enhanced speed and accuracy. Our proposed system would be meticulously designed to emulate the marking process employed by human evaluators. Consequently, this system would prove invaluable to educational institutions.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2023-10-30

Issue

Volume 9, Issue 10, September-October-2023

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Chandrakant Kokane, Madhur Dhole, Vedant Kakade, Prathamesh Mane, Vilas Deotare, Chandrakant Kokane , " Machine Learning based an Adaptive Approach for Subjective Answer Evaluation" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 9, Issue 10, pp.228-232, September-October-2023.