Intelligent Analysis Tools For
Computer Based Assessments
Author(s)
T. Filatov & V. Popov
Abstract
In distance learning the function of measuring the students’ knowledge is carried
out by computer based assessment systems. However the development of these
systems and distance learning as a whole is obstructed by the fact that a human
analyst is still required to analyse the reliability of tests used and results
obtained.
This study reveals that it is possible by analysing the results of assessments to
reveal the qualitative adjectives of the tests. This consequently means that it is
possible to implement the self-assessment approach into automated testing
systems, which would help teachers to evaluate their tests and assessments
results without the help of specialists. This will also provide a platform for
further automation and improvement of computer based assessment systems
using the same principle.
Following the study, a set of tools was developed aimed at conducting a
comprehensive analysis of the results of assessments, to discover the foregoing
factors and to report the conclusions in an understandable form.
Keywords: distance learning, computer based assessment, intelligent analysis,
statistics, self-analysis, assessment results, test quality.
1 Introduction
Distance learning is developing rapidly nowadays. For the educational system to
be really distant and computer based it should have an opportunity to assess
students’ knowledge remotely in a similar way as delivered. Computer based
multiple choice tests are being used for this purpose nowadays providing the
opportunity to assess students’ knowledge automatically. This makes possible to
automate most of the educational process. However the consequences of such
Keywords
Related Book
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