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The Use of AI and Interactive (Digital) Technologies in the Cognitive Acquisition of Phraseological Units: Intelligent E-Learning in Education
One-line summary
An AI research paper on The Use of AI and Interactive (Digital) Technologies in the Cognitive Acquisition of Phraseological Units: Intelligent E-Learning in Education.
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Chinese explanation / 中文解读
中文解读待补充:本站会优先为大语言模型、生成式AI、ChatGPT相关技术、计算机视觉、深度学习等高价值论文补充中文说明。
Original abstract
The article examines the problem of improving the teaching of phraseology through the introduction of interactive learning methods. The central object of the study is the concept and architecture of the “Intelligent Electronic Learning Environment” (IELE), developed based on the synergy of LLM models (ChatGPT-4o, Claude 3.5) and graphical neural networks. It is shown that traditional forms of working with phraseological units, based on reproductive techniques, do not ensure the formation of stable skills in their use and do not contribute to the development of students’ linguistic creativity. The structure and functional modules of the IELE are described, along with the results of its implementation in the educational process of lyceums. Based on the analysis of relevant domestic and foreign studies, as well as existing methodologies, the concept of an interactive approach to teaching phraseology is proposed, which includes game-based, project-based, context-oriented, and digital learning technologies. Particular attention is paid to the modular structure of the lesson, the combination of face-to-face and online forms of interaction, reflective practices, and the use of digital platforms to enhance students’ cognitive activity. The potential of artificial intelligence (AI) tools in the process of semantization of phraseological units is revealed, in particular through the generation of visual images to disclose the internal form of idioms and the creation of adaptive language trainers. The expediency of using AI-based chatbots to model authentic dialogic situations is substantiated, which contributes to a deeper acquisition of the connotative meanings of stable expressions. Examples of effective tasks are provided that combine traditional interactive methods with the capabilities of artificial intelligence to ensure understanding of the figurative nature of phraseological units and the development of communicative competence. The results of the analysis confirm that the use of interactive methods contributes to increased motivation, improved quality of phraseological acquisition, and the formation of a holistic understanding of the cultural and linguistic potential of phraseology.
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