A Survey on Item Selection Approaches for Computer Based Adaptive Testing
Nandakumar G. S1, Viswanandhne S.2

1Nandakumar G S, Department of Information Technology, Kumaraguru College of Technology, Coimbatore (Tamil Nadu), India.
2Viswanandhne S, Department of Computer Science and Engineering, Sri Krishna College of Engineering & Technology, Coimbatore (Tamil Nadu), India.
Manuscript received on 15 December 2018 | Revised Manuscript received on 26 December 2018 | Manuscript Published on 09 January 2019 | PP: 417-420 | Volume-7 Issue-4S November 2018 | Retrieval Number: E2003017519/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Assessment is an essential part in determining the level of attainment of education. In spite of availability of several formal and informal methods, Computer Based Assessment (CBT) is predominantly used for very large scale assessments. Adaptive Testing has better estimation capabilities if the standard of its items (questions) match the ability of the candidate. Items that are too simple or too difficult give unpredictable reactions and can’t give much information about the ability of the student. It is therefore essential to select items from the large pool so that the selected item gives maximum information about the ability of the student. This paper reviews the various methods for the item selection during the computerized adaptive testing.
Keywords: Computer Adaptive Testing, Item Selection Approaches.
Scope of the Article: Computer Network