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Article: Bots for language learning now: Current and future directions
Title | Bots for language learning now: Current and future directions |
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Authors | |
Keywords | Chatbots Conversational Agents Language Learning |
Issue Date | 2020 |
Publisher | University of Hawaii, National Foreign Language Resource Center; Center for Language Learning & Technology. The Journal's web site is located at http://llt.msu.edu |
Citation | Language Learning & Technology, 2020, v. 24 n. 2, p. 8-22 How to Cite? |
Abstract | Bots are destined to dominate how humans interact with the internet of things that continues to grow around them. Despite their still budding intellectual capacity, major companies (e.g., Apple, Google and Amazon) have already placed (chat)bots at the centre of their flagship devices. (Chat)Bots currently fill the internet acting as guides, merchants and assistants.
Chatbots, designed as communicators, however, have yet to make a meaningful contribution to
perhaps their most natural vocation: foreign language learning partners. This review engages in
three questions that surround this issue:
1. Why are chatbots not already at the centre of foreign language learning?
2. What are two key developers of chatbots working towards that might push chatbots into
the language learning spotlight?
3. What might researchers, educators, and developers together do to support chatbots as
foreign language learning partners right now? |
Persistent Identifier | http://hdl.handle.net/10722/283342 |
ISSN | 2023 Impact Factor: 3.5 2023 SCImago Journal Rankings: 0.882 |
DC Field | Value | Language |
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dc.contributor.author | Fryer, LK | - |
dc.contributor.author | Coniam, D | - |
dc.contributor.author | Carpenter, R | - |
dc.contributor.author | Lăpușneanu, D | - |
dc.date.accessioned | 2020-06-22T02:55:14Z | - |
dc.date.available | 2020-06-22T02:55:14Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Language Learning & Technology, 2020, v. 24 n. 2, p. 8-22 | - |
dc.identifier.issn | 1094-3501 | - |
dc.identifier.uri | http://hdl.handle.net/10722/283342 | - |
dc.description.abstract | Bots are destined to dominate how humans interact with the internet of things that continues to grow around them. Despite their still budding intellectual capacity, major companies (e.g., Apple, Google and Amazon) have already placed (chat)bots at the centre of their flagship devices. (Chat)Bots currently fill the internet acting as guides, merchants and assistants. Chatbots, designed as communicators, however, have yet to make a meaningful contribution to perhaps their most natural vocation: foreign language learning partners. This review engages in three questions that surround this issue: 1. Why are chatbots not already at the centre of foreign language learning? 2. What are two key developers of chatbots working towards that might push chatbots into the language learning spotlight? 3. What might researchers, educators, and developers together do to support chatbots as foreign language learning partners right now? | - |
dc.language | eng | - |
dc.publisher | University of Hawaii, National Foreign Language Resource Center; Center for Language Learning & Technology. The Journal's web site is located at http://llt.msu.edu | - |
dc.relation.ispartof | Language Learning & Technology | - |
dc.rights | Retrieved from http://llt.msu.edu/vol5num3/kennedy/default.html | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | Chatbots | - |
dc.subject | Conversational Agents | - |
dc.subject | Language Learning | - |
dc.title | Bots for language learning now: Current and future directions | - |
dc.type | Article | - |
dc.identifier.email | Fryer, LK: fryer@hku.hk | - |
dc.identifier.authority | Fryer, LK=rp02148 | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.hkuros | 310350 | - |
dc.identifier.volume | 24 | - |
dc.identifier.issue | 2 | - |
dc.identifier.spage | 8 | - |
dc.identifier.epage | 22 | - |
dc.publisher.place | United States | - |
dc.identifier.issnl | 1094-3501 | - |