Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Call For Paper : Vol. 9, Issue 5 , 2022
Subjective Answer Evaluation System

Author : Jincy Johnikutty 1 Varun Vasudevan 2 Imran Chaudhary 3 Rashmi Badhe 4 KalpanaWani 5

Date of Publication :7th March 2016

Abstract: In recent years we have seen that a large number of examinations have gone online. However we have observed that these examinations cater only objective or multiple choice questions and provision to subjective answer and its evaluation is still an open problem. Automation of descriptive answer evaluation process will be helpful for various universities and academic institutions to efficiently handle the assessment of exam answer sheets of students. Aim of our system is to check the degree of conceptual knowledge of the student by evaluating the subjective answers submitted by the student written online. The key step in our approach is keyword extraction which is used to evaluate subjective answers. Keywords are the important words present in a document. Along with the keywords, marks will be allotted based on the grammar, length and the synonyms of the keywords written by the student in the answer.

Reference :

    1. Prof. Rasendu Mishra, Neha Singh, MeeraGusai, Jinal Patel, Dr. NileshModi, “Ontology Based Algorithm And Life Cycle For Subjective Answer Assessment System”,International Journal of Advance Research In Science And Engineering, IJARSE, Vol. No.4, Special Issue (01), March 2015
    2. Sheeba Praveen, “An Approach to Evaluate Subjective Questions for Online Examination System” Published in International Journal of Innovative Research in Computer andCommunication Engineering. Vol. 2, Issue 11, November 2014.
    3. M.Syamala Devi, Himani,“Subjective Evaluation using LSA Technique”, International Journal of Computers and Distributed Systems
    4. Guruji ,Mrunal M. Pagnis , Sayali M. Pawar , Prakash J. Kulkarni,“Evaluation of subjective answers using GLSA enhanced with contextual synonymy” International Journal on Natural Language Computing (IJNLC) Vol. 4, No.1, February 2015
    5. Ani Thomas, M.K.Kowar, Sanjay Sharma, “Intelligent Fuzzy Decision Making for Subjective Answer Evaluation using Utility”, Emerging Trends inEngineering and Technology, 2008.ICETET '08. First International Conference on Date 16-18 July 2008.
    6. Prof. Dr. techn. Dipl.-Ing. Wolfgang Nejdl, Prof. Dr. Heribert Vollmer, “Automatic Keyword Extraction for Database Search” http://www.l3s.de/~demidova/students/thesis_oelze.pd f
    7. Diana P´erezMar´ın, “Automatic evaluation of users’ short essays by using statistical and shallow natural language processing techniques” http://arantxa.ii.uam.es/~dperez/tea.pdf
    8. Ms. Shweta M.Patil, Prof. Ms. SonalPatil, ”Evaluating Student Descriptive Answers Using Natural Language Processing”, International Journal of Engineering Research & Technology (IJERT)Vol. 3 Issue 3, March - 2014

Recent Article