The Rusch model-based knowledge assessment algorithm
In this paper, an algorithm for adaptive testing of students' knowledge in distance learning is proposed, along with an assessment of its effectiveness in the educational process. The paper provides an overview of the results of modern test theory application, a description and block diagram o...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | deu |
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Academy of Cognitive and Natural Sciences
2022-06-01
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| Series: | Освітній вимір |
| Subjects: | |
| Online Access: | https://acnsci.org/journal/index.php/ed/article/view/516 |
| _version_ | 1797647682187034624 |
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| author | Alexander A. Kostikov Kateryna V. Vlasenko Iryna V. Lovianova Sergii V. Volkov Evgeny O. Avramov |
| author_facet | Alexander A. Kostikov Kateryna V. Vlasenko Iryna V. Lovianova Sergii V. Volkov Evgeny O. Avramov |
| author_sort | Alexander A. Kostikov |
| collection | DOAJ |
| description |
In this paper, an algorithm for adaptive testing of students' knowledge in distance learning is proposed, along with an assessment of its effectiveness in the educational process. The paper provides an overview of the results of modern test theory application, a description and block diagram of the proposed algorithm, and the results of its application in the real educational process. The effectiveness of using this algorithm for objectively assessing students' knowledge has been demonstrated experimentally.
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| first_indexed | 2024-03-11T15:20:05Z |
| format | Article |
| id | doaj.art-56e3821a91fa4b0ab1ef0d29bec4d864 |
| institution | Directory Open Access Journal |
| issn | 2708-4604 2708-4612 |
| language | deu |
| last_indexed | 2024-03-11T15:20:05Z |
| publishDate | 2022-06-01 |
| publisher | Academy of Cognitive and Natural Sciences |
| record_format | Article |
| series | Освітній вимір |
| spelling | doaj.art-56e3821a91fa4b0ab1ef0d29bec4d8642023-10-28T18:52:50ZdeuAcademy of Cognitive and Natural SciencesОсвітній вимір2708-46042708-46122022-06-01610.31812/educdim.4482515The Rusch model-based knowledge assessment algorithmAlexander A. Kostikov0Kateryna V. Vlasenko1Iryna V. Lovianova2Sergii V. Volkov3Evgeny O. Avramov4Donbass State Engineering Academy National University of Kyiv Mohyla Academy Kryvyi Rih State Pedagogical University Volodymyr Dahl East Ukrainian National University Donbass State Engineering Academy In this paper, an algorithm for adaptive testing of students' knowledge in distance learning is proposed, along with an assessment of its effectiveness in the educational process. The paper provides an overview of the results of modern test theory application, a description and block diagram of the proposed algorithm, and the results of its application in the real educational process. The effectiveness of using this algorithm for objectively assessing students' knowledge has been demonstrated experimentally. https://acnsci.org/journal/index.php/ed/article/view/516adaptive algorithmRasch modelItem Response Theory (IRT)information function of test itemlatent variables |
| spellingShingle | Alexander A. Kostikov Kateryna V. Vlasenko Iryna V. Lovianova Sergii V. Volkov Evgeny O. Avramov The Rusch model-based knowledge assessment algorithm Освітній вимір adaptive algorithm Rasch model Item Response Theory (IRT) information function of test item latent variables |
| title | The Rusch model-based knowledge assessment algorithm |
| title_full | The Rusch model-based knowledge assessment algorithm |
| title_fullStr | The Rusch model-based knowledge assessment algorithm |
| title_full_unstemmed | The Rusch model-based knowledge assessment algorithm |
| title_short | The Rusch model-based knowledge assessment algorithm |
| title_sort | rusch model based knowledge assessment algorithm |
| topic | adaptive algorithm Rasch model Item Response Theory (IRT) information function of test item latent variables |
| url | https://acnsci.org/journal/index.php/ed/article/view/516 |
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