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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Bibliographic Details
Main Authors: Xiao Feiwen, Zhao Priscilla, Sha Hanyue, Yang Dandan, Warschauer Mark
Format: Article
Language:English
Published: De Gruyter 2023-03-01
Series:Journal of China Computer-Assisted Language Learning
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Online Access:https://doi.org/10.1515/jccall-2022-0032
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Summary: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.
ISSN:2748-3479