In the context of digitalization of education, the development of adaptive feedback mechanisms in the context of multithreading, which ensure the personalization of the interaction of participants in the educational process, is becoming a factor in increasing the effectiveness of the educational process. The analysis of existing approaches and tools for personalizing learning routes in multithreading conditions using the example of university disciplines allowed us to formulate the research problem of insufficient automation of the educational process in conditions of multithreading. The purpose of the article is to describe the development of a method for intelligent analysis of information with semantic text processing in the implementation of adaptive feedback of participants in a digital educational environment. The scientific novelty of the study consists in the development of an approach to intelligent processing of answers in free form, which ensures an increase in the efficiency of the educational process in a digital educational environment. The implementation of the stages of the intelligent information processing method in feedback with a multi-format digital assessment is considered. The main stages of the method include: data preparation, linguistic preprocessing, semantic comparison, model training, feedback generation, and analysis of the results of interaction between participants in the educational process. In conclusion, the analysis of the results of the application of the method considered in the work in the educational process is given on the example of streaming university disciplines.
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Smolentseva Tatiana Evgenievna
Doctor of Engineering Sciences, Docent
ORCID |
MIREA — Russian Technological University
Moscow, Russian Federation
