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The didactic potential of the voice assistant “Alice” for students of a foreign language at a university

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Abstract

Students learning a new language are aided by the use of a voice assistant when practicing speech, as it allows them to intensify their independent studies and master the elementary level of a foreign language. Moreover, the didactic potential of the Russian voice assistant “Alice” has hardly been studied in the context of teaching a foreign language at the university level. The purpose of this study is to test the effectiveness of educational interactions between students who are mastering a beginner level of Russian as a foreign language at university with the aid of the voice assistant “Alice”. This study involved foreign students of the Peoples’ Friendship University of Russia. The observation method allowed us to determine five educational functions of “Alice” while studying a foreign language and five scenarios of educational interaction students had with “her” in the process of their independent study. The flipped classroom model was selected to implement the proposed scenarios. The effectiveness of these educational interactions is confirmed by the results of the exam, which tested whether students meet the requirements for a beginner level of proficiency in Russian as a foreign language. After the exam, foreign students left positive feedback about working with “Alice”. The results of the study indicate the didactic potential of the Russian voice assistant for those studying Russian at a university as an international student.

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References

  • Balasuriya, S. S., Sitbon, L., Bayor, A. A., Hoogstrate, M., & Brereton, M. (2018). Use of voice activated interfaces by people with intellectual disability. Proceedings of the 30th Australian Conference on Computer-Human Interaction, 102–112. https://doi.org/10.1145/3292147.3292161.

  • Barata, M., Salman, A. G., Faahakhododo, I., & Kanigoro, B. (2018). Android based voice assistant for blind people. Library Hi Tech News, 35(6), 9–11. https://doi.org/10.1108/LHTN-11-2017-0083.

    Article  Google Scholar 

  • Barrat, J. (2013). Our final invention: Artificial intelligence and the end of the human era. New York: Thomas Dunne Books, St Martin’s Press.

    Google Scholar 

  • Biele, C., Jaskulska, A., Kopec, W., Kowalski, J., Skorupska, K., & Zdrodowska, A. (2019). How might voice assistants raise our children? Advances in Intelligent Systems and Computing: 2nd International Conference on Intelligent Human Systems Integration, IHSI 2019, 162–167. doi: https://doi.org/10.1007/978-3-030-11051-2_25.

  • Bose, P., Malpthak, A., Bansal, U., & Harsola, A. (2017). Digital assistant for the blind. InProceedings of the 2nd international conference for convergence in technology, I2CT (pp. 1250–1253). https://doi.org/10.1109/I2CT.2017.8226327.

    Chapter  Google Scholar 

  • Chen, R., Tian, Z., Liu, H., Zhao, F., Zhang, S., & Liu, H. (2018). Construction of a voice driven life assistant system for visually impaired people. InProceedings of the 2018 international conference on artificial intelligence and big data, ICAIBD 2018 (pp. 87–92). https://doi.org/10.1109/ICAIBD.2018.8396172.

    Chapter  Google Scholar 

  • Do, T. N. D., Nguyen, D. B., Mac, D. K., & Tran, D. D. (2013). Machine translation approach for Vietnamese diacritic restoration. InProceedings of the 2013 international conference on Asian language processing, IALP 2013 (pp. 103–106). https://doi.org/10.1109/IALP.2013.30.

    Chapter  Google Scholar 

  • Felix, S. M., Kumar, S., & Veeramuthu, A. (2018). A smart personal AI assistant for visually impaired people. InProceedings of the 2nd international conference on trends in electronics and informatics, ICOEI 2018 (pp. 1245–1250). https://doi.org/10.1109/ICOEI.2018.8553750.

    Chapter  Google Scholar 

  • Hoy, M. B. (2018). Alexa, Siri, Cortana, and more: An introduction to voice assistants. Medical Reference Services Quarterly, 37(1), 81–88. https://doi.org/10.1080/02763869.2018.1404391.

    Article  Google Scholar 

  • Hwang, G., Oh, C. Y., & Lee, J. (2019). It sounds like a woman: Exploring gender stereotypes in south Korean voice assistants. Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. doi: https://doi.org/10.1145/3290607.3312915.

  • Kankaew, R., & Sompong, N. (2016). The use of apple technology to support flipped classroom approach in higher education of Thailand. Turkish Online Journal of Educational Technology, 1151–1159.

  • Khorosheva, T., Novoseltseva, M., Geidarov, N., Krivosheev, N., & Chernenko, S. (2019). Neural network control interface of the speaker dependent computer system “deep interactive voice assistant DIVA” to help people with speech impairments. Proceedings of the 3rd International Scientific Conference Intelligent Information Technologies for Industry, IITI’08, 874(1), 444–452. https://doi.org/10.1007/978-3-030-01818-4_44.

    Article  Google Scholar 

  • Kolesnikova, D. S., Rudnichenko, A. K., Vereshchagina, E. A., Fominova, E. R. (2017). Application of modern speech recognition technologies to create a linguistic simulator to increase the level of language competence in the field of intercultural communication. Internet Journal of Science, 9(6). Retrieved from: https://naukovedenie.ru/PDF/20TVN617.pdf [Primenenie sovremennyh tehnologij raspoznavanija rechi pri sozdanii lingvisticheskogo trenazhera dlja povyshenija urovnja jazykovoj kompetencii v sfere mezhkul'turnoj kommunikacii. Internet-zhurnal «Naukovedenie». 2017. T. 9. № 6.] (In Russ.).

  • Leonovich, A. A. (2007). Problems of recognition of continuous speech. Digital signal processing. No. 4. 25–28. URL: http://www.dspa.ru/articles/year2007/jour07_4/art07_4_5.pdf [Problemy raspoznavanija slitnoj rechi // Cifrovaja obrabotka signalov.] (in Russ.).

  • Lobanov, B. M. (2004). The history of the creation and development in Belarus of computer systems for speech recognition and synthesis. Informatics, 4, 86–96. Retrieved from: https://inf.grid.by/jour/article/view/857/788 [Istorija sozdanija i razvitija v Belarusi komp'juternyh sistem raspoznavanija i sinteza rechi. Informatika. 2004. № 4. S. 86–96.] (In Russ.).

  • Magulaev, A. (2018). Popular voice assistants: Opportunities and trends in development. Tools and mechanisms of modern innovative development: collection of articles of the Intern. scientific-practical conf. 41–43. [Populjarnye golosovye pomoshhniki: Vozmozhnosti i tendencii v razvitii. Instrumenty i mehanizmy sovremennogo innovacionnogo razvitija: Sbornik statej Mezhdunar. Nauch.-prakt. Konf. Ufa: OMEGA SAJNS,] (in Russ.).

  • Nordrum, A. (2017). CES 2017: The year of voice recognition. IEEE Spectrum Retrieved from: http://spectrum.ieee.org/tech-talk/consumer-electronics/gadgets/ces-2017-the-year-of-voice-recognition.

  • Popovic, B., Pakoci, E., Jakovljevic, N., Kocis, G., & Pekar, D. (2015). Voice assistant application for the Serbian language. Proceedings of the 23rd Telecommunications Forum, TELFOR 2015, 858–861. doi: https://doi.org/10.1109/TELFOR.2015.7377600.

  • Ross, G. (2017). Speech recognition and synthesis as an online learning tool: Challenges and possibilities. Proceedings of INTED2017: 11th International Technology, Education and Development Conference, 7529-7538.

  • Sai, A., Ganga, M., Abisree, R. S., & Nancy, D. (2019). Voice assistant application for a college website. International Journal of Recent Technology and Engineering, 7(6), 2065–2070.

    Google Scholar 

  • San, L. C., & Hong, I. H. (1998). Special computer aided education using multimedia. Educational Media International, 35(4), 295–299. https://doi.org/10.1080/0952398980350416.

    Article  Google Scholar 

  • Telezhinskaya, E. L. & Dudareva, O. B. (2016). Mobile education - a tool of a modern educator. Scientific support of a system for advanced training of personnel. Research by young scientists. 2(27), 88–94. [Telezhinskaya, E. L., Dudareva, O. B. Mobil'noe obrazovanie – Instrument sovremennogo pedagoga // Nauchnoe obespechenie sistemy povyshenija kvalifikacii kadrov. Issledovanija molodyh uchenyh.] (in Russ.).

  • Vladimirova, T. E., et al. (Eds.). (2001). The state standard for Russian as a foreign language. Elementary level (2nd ed.). Moscow, St. Petersburg: Zlatoust. URL http://gct.msu.ru/docs/A1_standart.pdf.

    Google Scholar 

  • Underwood, J. (2017). Exploring AI language assistants with primary EFL students. In K. Borthwick, L. Bradley & S. Thouësny (Eds.), CALL in a climate of change: Adapting to turbulent global conditions – short papers from EUROCALL 2017. 317-321. Doi: https://doi.org/10.14705/rpnet.2017.eurocall2017.733.

  • Yandex. (2019). Alice, your voice assistant. Retrieved from: https://yandex.ru/support/alice

  • Yuan, Y., Thompson, S., Watson, K., Chase, A., Senthilkumar, A., Bernheim Brush, A. J., & Yarosh, S. (2019). Speech interface reformulations and voice assistant personification preferences of children and parents. International Journal of Child-Computer Interaction, 21, 77–88. https://doi.org/10.1016/j.ijcci.2019.04.005.

    Article  Google Scholar 

Download references

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Authors and Affiliations

  1. Department of Russian Language No. 3, Peoples’ Friendship University of Russia, 6, Miklukho-Maklaya str, Moscow, 117198, Russia

    Alisa N. Al-Kaisi, Alla L. Arkhangelskaya & Olga I. Rudenko-Morgun

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  1. Alisa N. Al-Kaisi
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  2. Alla L. Arkhangelskaya
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  3. Olga I. Rudenko-Morgun
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Correspondence to Alisa N. Al-Kaisi.

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This study was prepared and published with financial support from the Peoples' Friendship University of Russia (RUDN University).

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Al-Kaisi, A.N., Arkhangelskaya, A.L. & Rudenko-Morgun, O.I. The didactic potential of the voice assistant “Alice” for students of a foreign language at a university. Educ Inf Technol 26, 715–732 (2021). https://doi.org/10.1007/s10639-020-10277-2

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  • DOI: https://doi.org/10.1007/s10639-020-10277-2

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