Russian Federation
In the context of the digital transformation of education, there is an increasing need for adaptive and scalable digital educational environments that provide not only access to educational materials, but also adaptive feedback from participants in the educational process. The article presents a modified digital educational environment architecture that includes a database management system, machine learning algorithms, and integration with external feedback channels (including distance learning system, social networks, and messengers). The aim of the research is to develop a modification of the architecture of the digital educational environment, which allows for the automatic generation of personalized recommendations in the context of digitalization and multithreading. The architecture of a modified digital educational environment with the addition of components implementing dynamic adaptive feedback is presented.
digital educational environment, database, machine learning, feedback, distance learning system, personalization
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