Conversational agents in language learning
Due to advances in technology, conversational agents are emerging as intelligent spoken dialogue systems that simulate natural conversation with human beings. A growing body of literature has investigated the potential of conversational agents in enhancing language learning across multiple contexts....
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Main Authors: | , , , , |
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Format: | Article |
Language: | English |
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De Gruyter
2023-03-01
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Series: | Journal of China Computer-Assisted Language Learning |
Subjects: | |
Online Access: | https://doi.org/10.1515/jccall-2022-0032 |
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author | Xiao Feiwen Zhao Priscilla Sha Hanyue Yang Dandan Warschauer Mark |
author_facet | Xiao Feiwen Zhao Priscilla Sha Hanyue Yang Dandan Warschauer Mark |
author_sort | Xiao Feiwen |
collection | DOAJ |
description | Due to advances in technology, conversational agents are emerging as intelligent spoken dialogue systems that simulate natural conversation with human beings. A growing body of literature has investigated the potential of conversational agents in enhancing language learning across multiple contexts. In this paper, a broad scoping review examining the current literature on conversational agents and language learning was conducted. This review mapped APA PsycINFO, ERIC and ProQuest Dissertations & Theses databases, which yielded 23 papers for further analysis. Our examination of these papers suggests that there are three main ways in which conversational agents are used for language learning. This review discusses these three approaches and points to directions that require further research to fully exploit the potential of conversational agents in language learning. |
format | Article |
id | doaj-art-71983811efde46e4ab733c5016516775 |
institution | Kabale University |
issn | 2748-3479 |
language | English |
publishDate | 2023-03-01 |
publisher | De Gruyter |
record_format | Article |
series | Journal of China Computer-Assisted Language Learning |
spelling | doaj-art-71983811efde46e4ab733c50165167752025-01-20T11:08:49ZengDe GruyterJournal of China Computer-Assisted Language Learning2748-34792023-03-014230032510.1515/jccall-2022-0032Conversational agents in language learningXiao Feiwen0Zhao Priscilla1Sha Hanyue2Yang Dandan3Warschauer Mark4Pennsylvania State University, State College, PA, USAStanford University, Stanford, CA, USAColumbia University, New York City, NY, USABoston College, Boston, MA, USAUniversity of California, Irvine, USADue to advances in technology, conversational agents are emerging as intelligent spoken dialogue systems that simulate natural conversation with human beings. A growing body of literature has investigated the potential of conversational agents in enhancing language learning across multiple contexts. In this paper, a broad scoping review examining the current literature on conversational agents and language learning was conducted. This review mapped APA PsycINFO, ERIC and ProQuest Dissertations & Theses databases, which yielded 23 papers for further analysis. Our examination of these papers suggests that there are three main ways in which conversational agents are used for language learning. This review discusses these three approaches and points to directions that require further research to fully exploit the potential of conversational agents in language learning.https://doi.org/10.1515/jccall-2022-0032callconversational agentslanguage learningnatural language processing (nlp)technology |
spellingShingle | Xiao Feiwen Zhao Priscilla Sha Hanyue Yang Dandan Warschauer Mark Conversational agents in language learning Journal of China Computer-Assisted Language Learning call conversational agents language learning natural language processing (nlp) technology |
title | Conversational agents in language learning |
title_full | Conversational agents in language learning |
title_fullStr | Conversational agents in language learning |
title_full_unstemmed | Conversational agents in language learning |
title_short | Conversational agents in language learning |
title_sort | conversational agents in language learning |
topic | call conversational agents language learning natural language processing (nlp) technology |
url | https://doi.org/10.1515/jccall-2022-0032 |
work_keys_str_mv | AT xiaofeiwen conversationalagentsinlanguagelearning AT zhaopriscilla conversationalagentsinlanguagelearning AT shahanyue conversationalagentsinlanguagelearning AT yangdandan conversationalagentsinlanguagelearning AT warschauermark conversationalagentsinlanguagelearning |