THE STAGES OF DIGITALIZATION OF LANGUAGE EDUCATION IN THE XX-XXI CC

Author:

Titova Svetlana V.1,Staroverova Maria V.

Affiliation:

1. Lomonosov Moscow State University

Abstract

The article is aimed at the analysis and classification of the main stages of digitalization of language education in the world. The use of computer technology in teaching foreign languages began more than 80 years ago. Until recently, this topic was the subject of discussion of a rather narrow circle of specialists, but with the onset of the digital era and the rapid development of mobile and cloud technologies, artificial intelligence, more and more foreign language teachers in our country and abroad are introducing open educational resources into the educational process and applications, design distance courses and massive open online courses for teaching foreign languages. At the moment, there is an urgent need to analyze the stages of implementing computer technologies in teaching foreign languages and to identify some methodological features of the organization of the educational process supported by ICT, namely: the dominant method of learning, some didactic potential of the latest technologies, the role of the student and teacher, etc. Five main stages of the digitalization of language education were identified, which were named in accordance with the dominant teaching method: behavioral, audial, integrative, social-communicative, task-based communicative. The article also discusses the types of learning that have appeared due to digital technologies, such as mobile, social learning, learning based on augmented and virtual reality technologies — immersive learning. Particular attention is paid to the opportunities provided by artificial intelligence — deep learning, chat-bot learning, robotic learning of foreign languages.

Publisher

Moscow University Press

Reference33 articles.

1. Chayka K., Facebook wants us to live in the Metaverse, 2021. URL: https://www.newyorker.com/culture/infinite-scroll/facebook-wants-us-to-live-in-the-Metaverse (accessed: 25.02.2023). (In Russ.)

2. Daagen S. 2020. Iskusstvenny intellekt v obrazovanii: izmenenie tempov obucheniya. Analiticheskaya zapiska IITO UNESCO [Artificial intelligence in education: changes in the speed of teaching] UNESCO Institute for Information Technologies in Education. (In Russ.)

3. Drozhashchikh N.V., Belyakova I. E. 2022. Cifrovoj t’yutor v tyumenskom gosuniversitete: opyt vnedreniya i ispol’zovaniya [The digital tutor in the tyumen state university: a chat-bot case]. Moscow State University Bulletin. Series 19. Linguistics and intercultural communication, no. 2, pp. 11–22. (In Russ.)

4. Kodachigov V. 2023. Naidetsya chto: Yandex zapustit dlya poiskovika sverhsovremennuyu neiroset [Yandex will run a cutting-edge neural network for its searching engine], Feb 1, URL: https://iz.ru/1462961/irina-tcyruleva/naidetsia-chto-iandekszapustit-dlia-poiskovika-sverkhsovremenn... (accessed: 20.02.2023). (In Russ.)

5. Patarakin E.D. 2008. Social’nye servisy Veb 2.0 v pomoshch’ uchitelyu. Uchebnometodicheskoe posobie [Social services Web 2.0 to help the teacher]. M.: INTUIT. RU URL: http://window.edu.ru/window_catalog/files/r55005/manual_3.pdf (data obrashcheniya: 25.02.2023). (In Russ.)

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3