Multimodal Сhatbots in the Digital Educational Environment: Analytical review

In The context of the digital transformation of Russian education, regulated by national projects, the adoption of intelligent chatbots based on large language models (LLMs) is becoming particularly relevant. The study aims to systematize the experience of using multimodal chatbots in education and assess the prospects for their adaptation to the Russian national messenger MAX (VK). Based on an analysis of scientific publications from 2018 to 2025, key areas for the effective use of bots have been identified: personalized learning, automation of routine processes, instant 24/7 feedback, gamification, etc. Optimal architectural solutions have been determined, such as hybrid systems (YaLM + RAG) and multimodal orchestration (text/graphics/audio). Key risks and technical, pedagogical, and ethical limitations have been identified. The prospects for development are outlined, which include: a full transition to domestic LLMs (GigaChat, Saiga), the integration of virtual and augmented reality (VR/AR) into educational chatbots, the creation of a federal platform for educational bots, and the development of discussion forums and a teacher training system for adapting to digital tools. This article will be useful for researchers and practitioners interested in the implementation of AI technologies in education and lays the groundwork for developing new educational solutions at the intersection of pedagogy and artificial intelligence.

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