Intelligent agents in teaching foreign languages: typology, opportunities, challenges

被引:0
作者
Titova, Svetlana V. [1 ]
Temuryan, Kristina T. [1 ]
机构
[1] Lomonosov Moscow State Univ, Moscow, Russia
来源
YAZYK I KULTURA-LANGUAGE AND CULTURE | 2024年 / 65期
关键词
foreign language teaching; artificial intelligence; dialogue-based & scy; omputer-assisted language learning; chat-bots; social agents; CHATBOT; ENGLISH;
D O I
10.17223/19996195/65/12
中图分类号
H [语言、文字];
学科分类号
05 ;
摘要
Since artificial intelligence first appeared in the 1950s, the interest to-wards it has been changing throughout its existence, but in a number of countries, in-cluding Russia, there is currently an increase in the government's interest in artificial intelligence technologies that have found application in various fields, such as finance, medicine and education. The use of artificial intelligence in teaching executes functions such as, for instance, natural language generation, personalisation of learning and proctoring. At the same time, besides the organisation of the educational process or the design of learning ma-terials, artificial intelligence technologies in teaching also include teaching a foreign language or learning it. Due to the simplification of the process of creating such tech-nologies, which currently, due to the development of tools for their development, does not require the same training as before, dialogue-based & scy;omputer-assisted language learning plays a significant role in the use of artificial intelligence technologies in teach-ing foreign languages. Dialogue-based & scy;omputer-assisted language learning provides students with the op-portunity to develop and form foreign language skills through interaction with a con-versational agent or a bot, which are also often referred to as social interactive agents and are defined as agents capable of independently communicating with people and with each other in a socially reasonable way via multimodal behaviours. Chatbots are a category of conversational agents, which, in turn, are a separate class of dialogue sys-tems.The attention of researchers is currently paid to the implementation of intelligent agents in foreign language teaching and overcoming the difficulties associated with it. The purpose of the article is to provide a theoretical review of publications devoted to the issues of foreign language teaching through the use of interactive dialogue sys-tems or conversational agents; to classify the intelligent agents currently used in foreign language teaching in accordance with the criteria proposed earlier; to describe the ac-cumulated experience of introducing intelligent agents into foreign language teaching, highlighting the advantages and disadvantages of using certain bots in specific situa-tions; to identify the didactic potential of chatbots as a type of conversational agents based on AI technologies; the features of integrating chatbots into the process of devel-oping the students' oral-speech and written-speech skills, as well as skills of interaction. The works of Russian and foreign authors published over the past 5 years devoted to the study of artificial intelligence technologies in foreign language teaching were selected for the analysis. The research methods are the analysis of research literature and classification. In the course of the research, notions such as "conversational agents" and "chat-bots" were defined and the history of their development from the second half of the 20th century to the present day was described. Based on the works of researchers, the criteria were selected for the classification of intellectual agents currently used in teach-ing foreign languages, on the basis of which their typology was proposed. Finally, the results of the studies describing attempts to introduce such systems into the foreign language teaching process were studied, as a result of which their advantages and dis-advantages were described, establishing the prospects for further research on the issue
引用
收藏
页数:297
相关论文
共 65 条
  • [21] An Overview of Twenty-Five Years of Augmented Reality in Education
    Garzon, Juan
    [J]. MULTIMODAL TECHNOLOGIES AND INTERACTION, 2021, 5 (07)
  • [22] Godwin-Jones R., 2022, Intelligent CALL, granular systems, and learner data: short papers from EUROCALL 2022, P124
  • [23] Godwin-Jones R, 2023, LANG LEARN TECHNOL, V27, P6
  • [24] Godwin-Jones R, 2021, LANG LEARN TECHNOL, V25, P4
  • [25] Haristiani Nuria, 2019, Journal of Physics: Conference Series, V1387, DOI 10.1088/1742-6596/1387/1/012020
  • [26] Harlamenko I.V., 2023, Foreign languages at school, V3, P55
  • [27] Real conversations with artificial intelligence: A comparison between human-human online conversations and human-chatbot conversations
    Hill, Jennifer
    Ford, W. Randolph
    Farreras, Ingrid G.
    [J]. COMPUTERS IN HUMAN BEHAVIOR, 2015, 49 : 245 - 250
  • [28] Huang W., 2022, P 39 INT C MACH LEAR
  • [29] Chatbots for language learning-Are they really useful? A systematic review of chatbot-supported language learning
    Huang, Weijiao
    Hew, Khe Foon
    Fryer, Luke K.
    [J]. JOURNAL OF COMPUTER ASSISTED LEARNING, 2022, 38 (01) : 237 - 257
  • [30] Io HN, 2017, IN C IND ENG ENG MAN, P215, DOI 10.1109/IEEM.2017.8289883