Total views : 172

Test Paper Generation System using Multi Agents


  • Department of Computer Science and Engineering, SSN College of Engineering, Chennai – 603110, Tamil Nadu, India


Objective: To build a test-paper generation system for the welfare of students to improve their knowledge thereby developing their skills. Methods: In this paper, Multi Agent System is employed to generate the test paper for students. Different intelligent agents such as Question Selector Agent, Performance Analysis Agent and Co-ordinating Agent are designed, which interact with each other, to find the performance of the student in the test. The proposed algorithms assign utility values to the questions stored in the database and based upon the subject preferences given by the students, test paper is generated. Findings: A new intelligent system is proposed which helps the students to understand their knowledge level in the preferred subjects. The developed test paper generation system overcomes the drawback of normal class room test by reducing the problem in crowd management and also by making the test paper evaluation process easier and faster. The student can take the test from any place and the system is designed in such a way that each time when the user takes the test, he would get different set of questions. The difficulty level of the test paper is automatically computed for every test the student takes, based upon his previous test performance. Applications: The test paper generation system is a helping hand for students' community to improve their study skills in their subject areas. The proposed system using Multi Agents improve the efficiency of the learning process of students.


Coordinating Agent, Multi Agent System, Performance Analysis Agent, Question Selector Agent, Test Paper Generation System.

Full Text:

 |  (PDF views: 201)


  • Bellifemine FL, Caire G, Greenwood D. Developing Multi Agent Systems with JADE. John Wiley and Sons; 2007.
  • Amudhavel J, Sruthy G, Padmashree D, Pazhani Raja N, Saleem Basha MS, Bhuvaneswari B. A comprehensive analysis on Multi Agent decision making systems. Indian Journal of Science and Technology. 2016 Mar; 9(11):1–5.
  • Das TK. Intelligent techniques in decision making: A survey. Indian Journal of Science and Technology. 2016 Mar; 9(12):1–6.
  • Sun S, Joy M, Griffiths N. The use of learning objects and learning styles in a Multi Agent education system. Journal of Interactive Learning Research. 2007 Jul; 18(3):381.
  • Shang Y, Shi H, Chen SS. An intelligent distributed environment for active learning. JERIC. 2001 Aug; 1(2):4.
  • Naz M, Aslam M, Dar E. Utility based agent for test paper generation. International Journal of Multidisciplinary Sciences and Engineering. 2010; 1(1):1–5.
  • Peng C, Anbo M, Chunhua Z. Particle swarm optimization in Multi Agent System for the intelligent generation of test papers. Evolutionary Computation (IEEE World Congress on Computational Intelligence); 2008 Jun. p. 2158–62.
  • Weng MM, Hung JC, Lin F, Shih TK. A personalized quiz game based on Multi Agent System. New Horizons in Web Based Learning: Heidelberg, Berlin: Springer; 2012 Sep; 7697:100–9.
  • Cheng SC, Lin YT, Huang YM. Dynamic question generation system for web-based testing using Particle Swarm Optimization. Expert Systems with Applications. 2009 Jan; 36(1):616–24.
  • Bellifemine F, Caire G, Poggi A, Rimassa G. JADE: A software framework for developing Multi Agent applications. Lessons learned. Information and Software Technology. 2008 Jan; 50(1):10–21.


  • There are currently no refbacks.

Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.