Features of the use of chatbots in teaching foreign languages to students of a non-linguistic university (using the example of English)
Abstract
The purpose of the study is to determine the possibilities of using chatbots when teaching foreign languages to students of a non–linguistic university using the example of English. The article examines the features of the use of information and communication technologies on the example of chatbots in the formation of communicative competence in English among students studying English as a foreign language in a non-linguistic university. The scientific novelty of the study is that it proves that chatbots can be customized to the individual needs of each student, which provides a personalized approach to learning and helps students achieve better results. As a result of the study, it was found that chatbots communicate with users in a "live" language, they play an important role in the methodology of teaching a foreign language and create a quasi-conversation. The architecture of chatbots combines a language model and computational algorithms to simulate informal communication. Using the example of two chatbots, algorithms for using artificial intelligence are shown in terms of their methodological potential.
References
- Benson P. Autonomy in language teaching and learning // Language Teaching. 2006. № 40 (1).
- Brennan K. The managed teacher: еmotional labor, education, and technology // Educational Insights. 2006. № 10 (2).
- Cliff D., Atwell E. Leeds unix knowledge expert: а domain-dependent expert system generated with domain-independent tools // British Computer Society Specialist Group on Expert Systems. 1987. № 19.
- Fryer L., Carpenter R. Emerging technologies bots as language learning tools // Language Learning and Technology. 2006. № 10 (3).
- Garcia I. Learning a language for free while translating web: Does Duolingo work // International Journal of English Linguistics. 2013. № 3 (1).
- Grudin J., Jacques R. Chatbots, humbots, and the quest for artificial general intelligence // Proceedings of the 2019 CHI conference on human factors in computing systems. Glasgow, 2019.
- Shawar А. B., Atwell E. A comparison between Alice and Elizabeth chatbot systems (Unpublished research report) // University of Leeds. School of Computing. Research report series. 2002. December.
- Stockwell G. Tracking learner usage of mobile phones for language learning outside of the classroom // Learnercomputer interaction in language education: а festschrift in honor of Robert Fischer / еds. P. Hubbard, M. Schultz, B. Smith. London & New York: Continuum Books, 2013.
- Teske K. Duolingo // Calico Journal. 2017. № 34 (3).
- Timpe-Laughlin V., Dombi Exploring J. L2 learners' request behavior in a multi-turn conversation with a fully automated agent // Intercultural Pragmatics. 2020. № 17 (2).
- Weizenbaum J. Contextual understanding by computers // Communications of the ACM. 1967. № 10 (8).
- Zumstein D. S. Hundertmark Chatbots – an interactive technology for personalized communication. Transactions and Services // IADIS: International Journal on WWW/Internet. 2017. № 15.
Author information
About this article
Publication history
- Received: May 24, 2024.
- Published: July 5, 2024.
Keywords
- информационно-коммуникативные технологии
- чат-боты в обучении иностранным языкам
- коммуникативная компетенция по английскому языку
- неязыковой вуз
- искусственный интеллект
- information and communication technologies
- chatbots in teaching foreign languages
- communicative competence in English
- non-linguistic university
- artificial intelligence
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