Learning outcomes evaluation based on mixed diagnostic tests and cognitive graphic tools A. E. Yankovskaya, Y. N. Dementyev, D. Y. Lyapunov, A. V. Yamshanov
Material type:
ArticleSubject(s): распознавание образов | нечеткая логика | пороговая логика | интеллектуальные системы обучения | компьютерное тестирование | диагностические тестыGenre/Form: статьи в сборниках Online resources: Click here to access online
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Linguistic and cultural studies: traditions and innovations : proceedings of the XVIIth International Conference on Linguistic and Cultural Studies (LKTI 2017), October 11-13, 2017, Tomsk, Russia . P. 81-90Abstract: In this paper, we discuss the relevance of students’ learning outcomes evaluation using computer-based testing. The learning process is based on mixed diagnostic tests. For the purpose of evaluation, we use the threshold, fuzzy logic and cognitive graphic tools. The construction of mixed diagnostic tests, representing a compromise between unconditional and conditional components, in order to develop students’ knowledge evaluation is proposed for a number of disciplines. We suggest a technique for optimal mixed diagnostic tests construction based on the expert knowledge of the subjects for effective learning. The developed approach is used for a number of both the humanities and technical disciplines. One of useful outcomes of mixed diagnostic tests application is the learning trajectory design for each individual. We construct students’ learning trajectory using the intelligent learning and testing system and suggest defining their inherent approach to the learning process within the problem area.
Библиогр.: 19 назв.
In this paper, we discuss the relevance of students’ learning outcomes evaluation using computer-based testing. The learning process is based on mixed diagnostic tests. For the purpose of evaluation, we use the threshold, fuzzy logic and cognitive graphic tools. The construction of mixed diagnostic tests, representing a compromise between unconditional and conditional components, in order to develop students’ knowledge evaluation is proposed for a number of disciplines. We suggest a technique for optimal mixed diagnostic tests construction based on the expert knowledge of the subjects for effective learning. The developed approach is used for a number of both the humanities and technical disciplines. One of useful outcomes of mixed diagnostic tests application is the learning trajectory design for each individual. We construct students’ learning trajectory using the intelligent learning and testing system and suggest defining their inherent approach to the learning process within the problem area.
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