- Тищенко, Єлизавета Юріївна and Стрюк, А.М. (orcid.org/0000-0001-9240-1976) (2018) The relevance of developing a model of adaptive learning Computer Science & Software Engineering : Proceedings of the 1st Student Workshop (CS&SE@SW 2018), Kryvyi Rih, Ukraine, November 30, 2018 (2292). pp. 109-115. ISSN 1613-0073
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Abstract
The learning process can be made most effective by transferring the educational process to the electronic environment. Thanks to adaptive testing, the accuracy, quality, reliability of training and student interest are enhanced, which allows him to be more motivated. This is a new approach for the student to master most of the information. The introduction of an adaptive testing system ensures the improvement of student learning performance. From the proper organization of the control of knowledge depends on the effectiveness of the educational process. Adaptive testing involves changing the sequence of tasks in the testing process itself, taking into account the answers to the tasks already received. In the process of passing the test, a personality model is built that learns for later use in selecting the following testing tasks, depending on the level of knowledge of the student and his individual characteristics. When calculating the assessment, the adaptive testing system takes into account the probability that the student can guess the answer, the number of attempts to pass the test and the average result achieved during all attempts. The complex of tasks for adaptive testing can be developed taking into account a separate type of perception of information by each student, that is, the student is offered tasks that he is able to cope with and which are interesting for him, which means he is more confident in his abilities and aims at successful completion of the course.
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