Paper Details

With the rapid research happening in the field of education and testing many systems implementing the latesttechniques like Item response theory and machine learning have been conceived. In this paper we will look atimplementation of a system that aims at employing different fields of research to develop a comprehensive testingplatform. The system sets itself apart by attempting to be self sufficient such that it requires little or no humanintervention required. This is achieved through automatic question acquisition and classification through a communityrun forum and a dynamic database that automatically transforms itself in accordance with the trends in the test takersresponses. It is based on Item response theory to get item characteristic classification for the question sets that allows foran efficient test generator that can effectively test users across a larger section on latent scale. It also provides acomprehensive result generation that informs the examinee about the various patterns in test thus allowing him to betterprepare.

Nikita Singhal, Amitoz S Sidhu, Ajit Kumar Pandit, Shailendra Pratap Singh Sengar, Tutu Kumari, “RESULTS OF IMPLEMENTING HYBRID CAT USING IRT AND NAÏVE BAYES”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 5, pp. 501-504, May 2018.