Analyzing the results of automated knowledge testing to determine the objectivity of the tests created
Автор: Nikitina G.M., Ryzhov A.V., Raskatova M.V.
Рубрика: Информатика и вычислительная техника
Статья в выпуске: 4, 2023 года.
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This paper analyses the effectiveness of automated knowledge testing, and compares the results with the outcomes of traditional assessment methods. Particular attention is paid to investigating the relationship between the outcomes of automated tests and traditional examinations. In addition, the paper focuses on the development and validation of a new methodology for analysing the effectiveness of such tests. It includes the elements of regression analysis and the application of a multiple choice model with ordered alternatives.
Automation of knowledge testing, knowledge assessment methodology, analysis of test results, maximum likelihood method, statistical analysis
Короткий адрес: https://sciup.org/148327410
IDR: 148327410 | DOI: 10.18137/RNU.V9187.23.04.P.126