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dc.contributor.author	Семеріков, Сергій Олексійович
dc.contributor.author	Striuk, Andrii M.
dc.contributor.author	Shalatska, Hanna M.
dc.contributor.author	Стрюк, Андрій Миколайович
dc.contributor.author	Шалацька, Ганна Миколаївна
dc.date.accessioned	2023-09-01T11:11:31Z
dc.date.available	2023-09-01T11:11:31Z
dc.date.issued	2021-06-22
dc.identifier.citation	Semerikov S. O. AI-assisted language education: critical review / Serhiy O. Semerikov, Andrii M. Striuk, Hanna M. Shalatska // Educational Dimension. – 2021. – Vol. 4. – Pp. 1–8. – DOI: https://doi.org/10.31812/ed.623	uk
dc.identifier.issn	2708-4604
dc.identifier.issn	2708-4612
dc.identifier.uri	http://elibrary.kdpu.edu.ua/xmlui/handle/123456789/7728
dc.identifier.uri	https://doi.org/10.31812/ed.623
dc.description	Hou, Y.: Foreign Language Education in the Era of Artificial Intelligence. In: Atiquzzaman, M., Yen, N., Xu, Z. (eds.) Big Data Analytics for Cyber-Physical System in Smart City, pp. 937–944, Springer, Singapore (2020), doi:10.1007/978-981-15-2568-1_128 DOI: https://doi.org/10.1007/978-981-15-2568-1_128 Kuo, T.H.: The Current Situation of AI Foreign Language Education and Its Influence on College Japanese Teaching. In: Rau, P.L.P. (ed.) Cross-Cultural Design. Applications in Health, Learning, Communication, and Creativity, pp. 315–324, Springer International Publishing, Cham (2020), doi:10.1007/978-3-030-49913-6_27 DOI: https://doi.org/10.1007/978-3-030-49913-6_27 Parthasarathy, G., Sathiaraj, J.: Technological advancement in assisting adaptive learning measures to increase productivity and retention of French as a foreign language for post-modern learners in post-colonial context. Indian Journal of Public Health Research and Development 9(3), 896–901 (2018), URL https://ijphrd.com/scripts/IJPHRD%20Mar%20VT%202018.pdf DOI: https://doi.org/10.5958/0976-5506.2018.00401.1 Yu, Q.: Comprehensive Foreign Language Teaching Mode in the Era of Big Data. In: 2021 International Conference on Computers, Information Processing and Advanced Education (CIPAE), pp. 5–8 (2021), doi:10.1109/CIPAE53742.2021.00010 DOI: https://doi.org/10.1109/CIPAE53742.2021.00010 Zhu, A.: Application of AI Identification Technology in Foreign Language Education. In: 2020 International Conference on Artificial Intelligence and Education (ICAIE), pp. 71–75 (2020), doi:10.1109/ICAIE50891.2020.00024 DOI: https://doi.org/10.1109/ICAIE50891.2020.00024 Zhu, A.: New Ecology of AI-Assisted Language Education. Journal of Physics: Conference Series 1861(1), 012040 (2021), doi:10.1088/1742-6596/1861/1/012040 DOI: https://doi.org/10.1088/1742-6596/1861/1/012040	uk
dc.description.abstract	This paper reviews the current research on AI-assisted language education (AILE). AI has greatly influenced education, especially language learning. AILE, an interdisciplinary field combining AI technology and language education theory, aims to improve foreign language learners’ experiences through personalized, interactive, and collaborative learning. This review classifies AILE research into four key domains: language-specific applications, comprehensive teaching modes, new educational ecosystems, and identification technology integration. It analyzes the strengths, weaknesses, opportunities, and challenges of AILE. The paper emphasizes the importance of ethical considerations and data quality in AILE endeavors. While acknowledging the achievements and potential of AILE, the review suggests future directions, promotes interdisciplinary collaboration, and highlights the need for empirical studies for an effective and ethical integration of AI in language education.	uk
dc.language.iso	en	uk
dc.publisher	Academy of Cognitive and Natural Sciences	uk
dc.subject	artificial intelligence	uk
dc.subject	language education	uk
dc.subject	foreign language	uk
dc.subject	foreign language education	uk
dc.title	AI-assisted language education: critical review	uk
dc.type	Article	uk