Can Generative AI Chatbots Promote Second Language Acquisition? A Meta‐Analysis.
Background: Generative artificial intelligence (GenAI) chatbots have shown great application potential and research value in the field of language learning, especially in second language acquisition (SLA). Objectives: This study aims to validate the value of GenAI chatbots for SLA and elucidate whic...
| Publicado en: | Journal of Computer Assisted Learning Vol. 41; no. 4; pp. 1 - 19 |
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| Autores principales: | , , |
| Formato: | research systematic review tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Aug2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=186918259&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 186918259 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02664909 6M1 jtl: Journal of Computer Assisted Learning issn: 02664909 maglogo: Y pubinfo: dt: Aug2025 vid: 41 iid: 4 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 186918259 186918259 186918259 10.1111/jcal.70060 186918259 ppf: 1 ppct: 18 formats: tig: atl: Can Generative AI Chatbots Promote Second Language Acquisition? A Meta‐Analysis. aug: au: Li, Mengdi Wang, Yinyu Yang, Xiaorong affil: School of Education, Tianjin University, Tianjin, China sug: subj: Language Development Artificial Intelligence, Generative Utilization Chatbot Utilization Computer-Assisted Instruction Trends Educational Technology Funding Source Human Systematic Review Meta Analysis Diffusion of Innovation Time Factors Learning Environment Behavioral Objectives Educational Status ab: Background: Generative artificial intelligence (GenAI) chatbots have shown great application potential and research value in the field of language learning, especially in second language acquisition (SLA). Objectives: This study aims to validate the value of GenAI chatbots for SLA and elucidate which moderating variables affect learning outcomes. Methods: The method of meta‐analysis was adopted to conduct this study. This study synthesised 41 experimental or quasi‐experimental studies on the application of GenAI chatbots in SLA from 2023 to date and extracted 48 independent effect sizes from them, with a total of 3515 participants. Results and Conclusions: The results showed that GenAI chatbots had a moderate to large positive impact on SLA (ES = 0.576, 95% CI = [0.385–0.768], p < 0.001). In addition, based on the theoretical framework, this study further explored the moderating effect of GenAI chatbots on SLA from the dimensions of adopters of innovation, innovation, time process, diffusion channels and social system. To be specific, there were no inter‐group differences in educational stage and learning environment, and there were intra‐group differences in other moderating variables. Among them, the first language (L1) represented by Indonesian, the second language (L2) other than English, the GenAI chatbot represented by ChatGPT, vocabulary as the learning objective of language, and the intervention time of 1–7 days had a large moderating effect. Additional implications for research and practice are discussed. pubtype: Academic Journal doctype: meta analysis research systematic review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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