{"title":"认知矩阵分析作为探索小说作者文化身份的工具","authors":"P. Sysoyev, E. M. Filatov","doi":"10.55959/msu-2074-1588-19-27-2-3","DOIUrl":null,"url":null,"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.","PeriodicalId":512750,"journal":{"name":"Linguistics and Intercultural Communication","volume":" 5","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"COGNITIVE-MATRIX ANALYSIS AS A TOOL FOR EXPLORING CULTURAL IDENTITY OF A FICTION AUTHOR\",\"authors\":\"P. Sysoyev, E. M. Filatov\",\"doi\":\"10.55959/msu-2074-1588-19-27-2-3\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":512750,\"journal\":{\"name\":\"Linguistics and Intercultural Communication\",\"volume\":\" 5\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Linguistics and Intercultural Communication\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.55959/msu-2074-1588-19-27-2-3\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Linguistics and Intercultural Communication","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.55959/msu-2074-1588-19-27-2-3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
COGNITIVE-MATRIX ANALYSIS AS A TOOL FOR EXPLORING CULTURAL IDENTITY OF A FICTION AUTHOR
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.