Developing An Algorithm For Generating Computerized Test Combinations

Ivan Kuyumdzhiev ()
Additional contact information
Ivan Kuyumdzhiev: Varna University of Economics

Business & Management Compass, 2016, issue 1, 46-60

Abstract: This article focuses on comp uterized testing as one the most effective methods of assessment in higher education. The study demonstrates problems of generating tests with random questions using computers. Proposed algorithm overcomes these difficulties taking into account predefined complexity of each question used in the test. Multiple tests of the productivity of the algorithm show the results of different scenarios and help assess its quality. The reason these findings are important is that they demonstrate an effective method for the computerized creation of tests that could be described as preadaptive.

Keywords: Multiple Choice Testing; Àssessment in Higher Education; Computerized Adaptive Tests (search for similar items in EconPapers)
JEL-codes: C83 C88 I21 (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations:

Downloads: (external link)
http://journal.ue-varna.bg/uploads/20160405054008_155713830257034fb8b92ce.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:vrn:journl:y:2016:i:1:p:46-60

Access Statistics for this article

Business & Management Compass is currently edited by Julian Vasilev

More articles in Business & Management Compass from University of Economics Varna Contact information at EDIRC.
Bibliographic data for series maintained by Yana Doneva ().