CFP last date
20 May 2024
Reseach Article

A Survey on Question Paper Generation System

Published on July 2016 by Aniruddha Joshi, Prathamesh Kudnekar, Mayur Joshi, Siddhesh Doiphode
National Conference on Role of Engineers in National Building
Foundation of Computer Science USA
NCRENB2016 - Number 1
July 2016
Authors: Aniruddha Joshi, Prathamesh Kudnekar, Mayur Joshi, Siddhesh Doiphode
632d51bd-f3e5-4112-84c1-a4122f0045dc

Aniruddha Joshi, Prathamesh Kudnekar, Mayur Joshi, Siddhesh Doiphode . A Survey on Question Paper Generation System. National Conference on Role of Engineers in National Building. NCRENB2016, 1 (July 2016), 1-4.

@article{
author = { Aniruddha Joshi, Prathamesh Kudnekar, Mayur Joshi, Siddhesh Doiphode },
title = { A Survey on Question Paper Generation System },
journal = { National Conference on Role of Engineers in National Building },
issue_date = { July 2016 },
volume = { NCRENB2016 },
number = { 1 },
month = { July },
year = { 2016 },
issn = 0975-8887,
pages = { 1-4 },
numpages = 4,
url = { /proceedings/ncrenb2016/number1/25549-4014/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Role of Engineers in National Building
%A Aniruddha Joshi
%A Prathamesh Kudnekar
%A Mayur Joshi
%A Siddhesh Doiphode
%T A Survey on Question Paper Generation System
%J National Conference on Role of Engineers in National Building
%@ 0975-8887
%V NCRENB2016
%N 1
%P 1-4
%D 2016
%I International Journal of Computer Applications
Abstract

The effort needed for creating question paper is reduced because of the advanced system. Firstly people require to spend time on generating paper by referring syllabus and references book etc, which was time consuming. Because of the advanced system there is no need for human to think and spend time which can be used on some more important tasks instead of creating question paper. The system fully automates the process of question paper generation. The advanced system generates question paper based on database such that all types of questions such as (MCQS, Numerical type, Theory based etc) are stored in database. The system randomly selects questions from database and generates a question paper such that it covers entire syllabus.

References
  1. Peijiang Chen, ”Construction of Test Question Database for Electrical and Electronic Technology”, International Conference on Electronic & Mechanical Engineering and Information Technology, IEEE, August 2011, p 5.
  2. Syahaneim Marzukhi, Muhammad Firdaus Sulaiman. “Automatic Generation Question System to Enhance Preparation of Learning Assessment”, p 6.
  3. Fang Yuan, Bo Liu,. “A New Method of Information Extraction from PDF Files”, The Fourth International Conference on Machine learning and Cybernetics, IEEE, August 2005, p 4.
  4. Vaibhav M. Kale, Arvind W Kiwelekar. “An algorithm for question paper template generation in question paper generation system”. IEEE, 2013, p 8.
  5. Jing Mei Li, Jing Li, Jian Pei Zhang, Nan Ding. “Research on intelligent test paper generation based on multi-variable asymptotic optimization”. IEEE ,2010, p 6.
  6. Burcu Yildiz, Katharina Kaiser, Silvia Miksch. PDF2table: “A method Extract table information from PDF files’. IEEE, 2014, p 6.
  7. Ashok M., Tulasi .B. “Framework For Automatic Paper Generation System”, International Journal of Computer Applications, IEEE, 2014, p 9.
  8. S. S. Sheik,† Sumit K. Aggarwal,” A FAST Pattern Matching Algorithm”, Bioinformatics Centre and Supercomputer Education and Research Centre, Indian Institute of Science, J. Chem. Inf. Comput. Sci, 2004, 44, P.1251-1256.
  9. Mr. Rahul B. Diwate, Prof. Satish J. Alaspurkar,” Study of Different Algorithms for Pattern Matching”, International Journal of Advanced Research in Computer Science and Software Engineering, IJARCSSE, Volume 3, Issue 3, March 2013.
  10. Vasile Rus, Brendan Wyse,” Question Generation Shared Task and Evaluation Challenge, Proceedings of the 13th European Workshop on Natural Language
  11. Husam Ali ,Yllias Chali,” Automatic Question Generation from Sentences, University of Lethbridge, TALN 2010, p. 19–23.
  12. S. Chen ,S. Diggavi,” Efficient String MatchingAlgorithms for Combinatorial Universal Denoising”. Generation (ENLG), Association for Computational Linguistics, September 2011, pages 318–320
Index Terms

Computer Science
Information Sciences

Keywords

CSV file PDF file Question paper format pattern composer question aggregator