COGNITIVE-MATRIX ANALYSIS AS A TOOL FOR EXPLORING CULTURAL IDENTITY OF A FICTION AUTHOR

P. Sysoyev, E. M. Filatov
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Abstract

The integration of artificial intelligence (AI) technologies into the educational system in general and foreign language teaching in particular makes it possible to significantly enhance students’ foreign language practice and create conditions for more effective formation of foreign language communicative competence components. At the same time, the gradual implementation of AI tools in the educational process, along with its obvious advantages, may cause teachers’ concerns related to the gradual exclusion of the teacher from the learning process and their complete replacement by AI. As a modern paradigm of education, the authors suggest the triad “learner - teacher - artificial intelligence”, within which the interaction of learners with AI is built into traditional teaching methods, enhancing the educational process with new additional opportunities for learners’ foreign language practice. For objective reasons, little time and attention is often allocated to teaching learners to write in a foreign language. AI, which has significant language didactic potential, is able to take over the teacher’s functions of evaluating students’ written work and providing them with feedback in the form of an AI-generated version of an essay and/or recommendations for the revision of written work. In this paper, the authors propose 11 stages of a method for teaching learners to write creative works in a foreign language in the triad “learner - teacher - artificial intelligence”. Special attention in the method is given to the following aspects, which are new for teaching practice: a) compliance of students with the norms of authorship ethics when receiving various types of feedback from AI; b) the need to discuss the results of students’ interaction with AI during classroom sessions. At the same time, the authors note that the teacher is not excluded from the process of teaching learners a foreign language and evaluating their written work. The traditional method of teaching students’ written speech is enriched with additional stages of interaction with artificial intelligence, creating more conditions for students to develop the necessary foreign language speech skills.
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认知矩阵分析作为探索小说作者文化身份的工具
将人工智能(AI)技术融入教育系统,特别是外语教学,可以显著提高学生的外语实践能力,为更有效地形成外语交际能力要素创造条件。与此同时,人工智能工具在教育过程中的逐步应用,在具有明显优势的同时,也可能引起教师的担忧,担心教师会逐渐被排除在学习过程之外,而被人工智能完全取代。作为一种现代教育范式,作者提出了 "学习者--教师--人工智能 "三位一体的模式,将学习者与人工智能的互动融入到传统教学方法中,为学习者的外语实践提供新的额外机会,从而强化教育过程。由于客观原因,人们往往很少花时间和精力教学习者用外语写作。人工智能具有巨大的语言教学潜力,能够取代教师的职能,评估学生的书面作业,并以人工智能生成的作文版本和/或书面作业修改建议的形式向学生提供反馈。在本文中,作者提出了 "学习者-教师-人工智能 "三位一体的外语创作教学法的 11 个阶段。该方法特别关注以下几个方面,这在教学实践中是全新的:a) 学生在接受来自人工智能的各种反馈时要遵守作者道德规范;b) 在课堂教学过程中需要讨论学生与人工智能互动的结果。同时,作者指出,在教授学生外语和评价其书面作品的过程中,教师并没有被排除在外。在传统的学生书面语音教学方法的基础上,增加了与人工智能互动的阶段,为学生培养必要的外语语音技能创造了更多条件。
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