Author
Listed:
- Kateryna Poseletska
(Candidate of Science in Pedagogy, Associate Professor of the Department of German Philology, Vinnytsia Mykhailo Kotsiubynskyi State Pedagogical University)
- Svitlana Kyrychenko
(Candidate of Science in Pedagogy, Associate Professor of the Modern Languages Department, Admiral Makarov National University of Shipbuildi)
- Olha Vlasenko
(Candidate of Science in Pedagogy, Associate Professor of the Department of Professional, Pedagogical and Special Education, Andragogy and Management, Zhytomyr Ivan Franko State University)
- Iryna Koval
(Candidate of Phsychological Sciences, Associate Professor, Departament of Foreign Language Education and Intercultural Communication, Khmelnytskyi National University)
- Iryna Potiuk
(Ternopil Volodymyr Hnatiuk National Pedagogical University)
- Silviia Shpenyk
(Candidate of Pedagogical Science, Associate Professor, Department of foreign languages, Uzhhorod National University)
Abstract
Nowadays, there are a huge number of applications that help to learn foreign languages in HEIs. The article gives a concept of chatbots, their application scenarios for the development of speaking skills of HEI students learning English; defines the role of chatbots in acquiring language practice; analyzes today's chatbots for learning foreign languages; investigates the functions of chatbots for modeling language behavior. Despite their imperfect intelligence, large companies (e.g., Apple, Google, and Amazon) have already placed chatbots in the center of their flagship devices. Chatbots are now filling the Internet, acting as guides, salespersons, and assistants. However, chatbots designed as communicators have yet to make a meaningful contribution. Perhaps the most natural vocation is to be a partner in learning foreign languages. In this article, we'll look at some of the chatbots developers are offering to help you learn foreign languages. Now chatbots can radically change interacting with the digital world, from reading and writing to listening and speaking. Although this reality has been possible for more than a decade, there is little direct evidence that the golden age of spoken-agent language learning opportunities has arrived.
Suggested Citation
Kateryna Poseletska & Svitlana Kyrychenko & Olha Vlasenko & Iryna Koval & Iryna Potiuk & Silviia Shpenyk, 2023.
"Scenarios for the Use of Chatbots in Teaching a Foreign Language in the Higher Educational Institution (HEI),"
Revista romaneasca pentru educatie multidimensionala - Journal for Multidimensional Education, Editura Lumen, Department of Economics, vol. 15(3), pages 347-359, September.
Handle:
RePEc:lum:rev1rl:v:15:y:2023:i:3:p:347-359
DOI: https://doi.org/10.18662/rrem/15.3/770
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:lum:rev1rl:v:15:y:2023:i:3:p:347-359. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Antonio Sandu (email available below). General contact details of provider: https://lumenpublishing.com/journals/index.php/rrem/ .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.