Efficient Online Exam Grading with AI Powered Answer Verification

Now a days, the evaluation of student’s subjective is a time taking process. But for checking the performance of a student, correct evaluation is mandatory. Evaluating the answers manually is really a time consuming in this busy life. To reduce the burden to human and to save the time an automatic scoring is introduced which evaluates the student's answers with the already provided answer using ai algorithms. This evaluation not only gives marks for exact correct answer but also for the answer which is relevant to question. It corrects like a human being. It provides score according to the most relevant answer that matches with the predefined answer which is provided to the machine earlier. The suggested approach evaluates responses using machine learning and artificial intelligence techniques.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-23
DOI
https://doi.org/10.5281/zenodo.15072658
Primary Topic
Educational Technology and Assessment
Type
article
Field-Weighted Citation Impact
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article

Efficient Online Exam Grading with AI Powered Answer Verification

Zenodo (CERN European Organization for Nuclear Research)
Educational Technology and Assessment
article

Efficient Online Exam Grading with AI Powered Answer Verification

article en

Abstract

Now a days, the evaluation of student’s subjective is a time taking process. But for checking the performance of a student, correct evaluation is mandatory. Evaluating the answers manually is really a time consuming in this busy life. To reduce the burden to human and to save the time an automatic scoring is introduced which evaluates the student's answers with the already provided answer using ai algorithms. This evaluation not only gives marks for exact correct answer but also for the answer which is relevant to question. It corrects like a human being. It provides score according to the most relevant answer that matches with the predefined answer which is provided to the machine earlier. The suggested approach evaluates responses using machine learning and artificial intelligence techniques.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 38%
Educational Technology and Assessment
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