Automatic Question Paper Generation System

Authors(2) :-Vijayalakshmi B.T, Bhavya B M

Examination process is an important activity for educational institutions to assess student performance. Thus the nature of the exam questions would determine the quality of the students produced by the institutions. Preparing the exam questions is very challenging, tedious and time consuming for the instructors. Thus with the help of this paper we present the solution in form of Automatic Question Paper Generator System (QGS) which makes use of shuffling algorithm as a Randomization technique. The design process performs the scrutiny and composes the examination paper using an efficient algorithm with a high rate of success. With this algorithm, the user needs to specify the subject, the question type and the difficulty level. From the entered input, the examination paper will be generated automatically. The editing of questions is performed using Word processor and the final paper will be stored as “.pdf” file formats. The system shows characteristics like simple operation, a great interface, good usability, immense security, and high stability along with reliability.

Authors and Affiliations

Vijayalakshmi B.T
MCA Department, P.E.S. College of Engineering, Mandya, Karnataka, India
Bhavya B M
MCA Department, P.E.S. College of Engineering, Mandya, Karnataka, India

Question Paper Generator System, Paper Code, Question Bank, Direct Entry, ER Diagram, PROMELA, TTP, SPIN Tool

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Publication Details

Published in : Volume 2 | Issue 3 | May-June 2017
Date of Publication : 2017-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 767-771
Manuscript Number : CSEIT1723273
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Vijayalakshmi B.T, Bhavya B M, "Automatic Question Paper Generation System", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 3, pp.767-771, May-June-2017.
Journal URL : http://ijsrcseit.com/CSEIT1723273

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