UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 3 | March 2026

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Published in:

Volume 6 Issue 3
March-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1903F74


Registration ID:
201905

Page Number

542-545

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Title

A MACHINE LEARNING BASED NOVEL APPROACH FOR AUTOMATED TECHNICAL PAPER ASSESSMENT

Abstract

The high amount of answer sheet correction with mundane chorus exert a high amount of physical as well mental pressure. This elevated stress level results in faulty assessment. As a result quality of both students and the teacher’s academic relation suffers. Thus a growing ideology of automated assessment system is a need to be developed. To process the regular pattern of paper assessment with highly advance machine learning model for recognizing exam paper and assessing that mimics the human examiner. It scales down the workload of counter-productive paper assessment and frees time for teacher while providing a quality of paper evaluation.

Key Words

Raw text evaluation, Assessment, Alternate to theoretical answers assessment, NLP

Cite This Article

"A MACHINE LEARNING BASED NOVEL APPROACH FOR AUTOMATED TECHNICAL PAPER ASSESSMENT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.542-545, March-2019, Available :http://www.jetir.org/papers/JETIR1903F74.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"A MACHINE LEARNING BASED NOVEL APPROACH FOR AUTOMATED TECHNICAL PAPER ASSESSMENT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp542-545, March-2019, Available at : http://www.jetir.org/papers/JETIR1903F74.pdf

Publication Details

Published Paper ID: JETIR1903F74
Registration ID: 201905
Published In: Volume 6 | Issue 3 | Year March-2019
DOI (Digital Object Identifier):
Page No: 542-545
Country: Mumbai, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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