The use of artificial intelligence techniques for distance learning
The article describes some practices of voice recognition technologies based on artificial intelligence to improve the educational process in a remote format. This is relevant to modern remote education environment. The author presents an analysis of existing approaches to the use of artificial intelligence technologies in the educational process. Elements of artificial intelligence in a specialist software make the educational process more modern and convenient both for the learner and the teacher. One of the implementations for a natural user interface is a voice-user interface, which recognizes words to understand spoken commands and to answer questions, it converts the text into speech. The author has carried out an analytical review of implementations of specialized applications for Yandex assistant in which, the voice interface is used to improve children's language skills. Algorithm development of an application for Google assistant which uses voice recognition technologies and artificial intelligence for for teaching a foreign language is described. The application can be used in the educational process for teaching academic English; it also allows to increase English vocabulary, train the construction of grammatically correct scientific expressions, and memorize scientific language patterns.
- The COVID-19 pandemic: shocks to education and policy responses. Available at: https://openknowledge. worldbank.org/bitstream/handle/10986/33696/148198. pdf (accessed 10 October 2020).
- Quality Education for all during Covid-19. Available at: https://hundred.org/en/collections/quality-education-forall-during-coron... (accessed 24 March 2020).
- Manage teaching and learning with Classroom. Available at: https://classroom.google.com/h (accessed 24 March 2020).
- Microsoft Customer Story-STEM learning at scale: Using Microsoft Teams and AI for a more humanistic education. Available at: https://customers.microsoft.com/ (accessed 24 June 2020).
- How software that learns as it teaches is upgrading Brazilian education. Available at: https://www.theguardian.com/ (accessed 24 June 2020).
- Dobrica V. P., Gorjushkin E. I. Applying the intellectual adaptive platform in education. Auditorium. Elektronnyy nauchnyy zhurnal Kurskogo gosudarstvennogo universiteta [Auditorium. Electron Scientifi c Journal of Kursk State University], 2019, no. 1 (21), pp. 86–92 (in Russian).
- Berdasco, Lopez, Diaz, Quesada, Guerrero. User Experience Comparison of Intelligent Personal Assistants: Alexa, Google Assistant, Siri and Cortana. Proceedings, 2019, no. 1 (31), pp. 51–59. DOI: https://doi.org/10.3390/proceedings2019031051
- Kita T., Nagaoka C., Hiraoka N., Suzuki K., Dougiamas M. A discussion on effective implementation and prototyping of voice user interfaces for learning activities on moodle. CSEDU 2018 – Proceedings of the 10th International Conference on Computer Supported Education, 2018, no. 1, pp. 398–404. DOI: https://doi.org/10.5220/0006782603980404
- Kolesnikova D. S., Rudnichenko A. K., Vereshhagina E. A. Application of modern technologies of speech recognition in the creation of a linguistic simulator to improve the level of language competence in intercultural communication. Internet-zhurnal “NAUKOVEDENIE” [Internet Journal “SCIENCES”], 2017, no. 6 (9), pp. 1–12. Available at: https://cyberleninka.ru/article/n/ (accessed 24 February 2020) (in Russian).
- Legko Skazat’ – detskiy trenazher dlya razvitiya rechi (Easy Say – children’s speech development simulator). Available at: https://yandex.ru/alice/legko-skazat (accessed 24 May 2020) (in Russian).
- HSE – University Academic Development – Academic Writing Centre – Podcasts. Available at: https://academics.hse.ru/awc/podcasts (accessed 3 April 2020).
- Glossary of terms for academic writing – Wiki – innsida. ntnu.no. Available at: https://innsida.ntnu.no/wiki (accessed 3 April 2020).
- Tregubov V. N. Information system for studying phrasal elements in academic English. International Journal of Open Information Technologies, 2020, no. 5 (8), pp. 23–30.