Didactic Capabilities of Artificial Intelligence Technologies
DOI:
https://doi.org/10.31150/jhai.v5i3.3599Keywords:
artificial intelligence, neural networks, expert systems, ChatGPT, generative artificial intelligence, machine translation technologies, chatbots, educational technology, personalized learning, digital pedagogyAbstract
This article presents a comprehensive scientific analysis of one of the most pressing contemporary challenges: the integration of artificial intelligence (AI) into the educational sphere and its effectiveness. The study examines the theoretical foundations of AI technologies, their historical development, and their practical applications in modern educational contexts, with particular emphasis on foreign language instruction. The scientific perspectives of leading scholars in this domain are extensively reviewed and synthesized. Furthermore, the article provides a detailed exploration of AI technology integration in education, examining the opportunities available to educators and the competencies required for effective implementation. The research employs classification, descriptive, historical-comparative, contextual, complex, statistical, and functional analysis methods. The findings reveal that AI technologies offer significant potential for personalizing learning experiences, automating routine pedagogical tasks, and enhancing educational outcomes. However, successful integration requires appropriate teacher training, technological infrastructure, and pedagogical frameworks. The article concludes by identifying key challenges and proposing pathways for effective AI implementation in educational settings.
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