Volume 28 Number 2, June 2024 Special Issue: Artificial Intelligence for Language Learning
contributor.author:
Lee, Hansol Lee, Jang Ho
date.accessioned:
2024-05-30T19:01:40Z
date.available:
2024-05-30T19:01:40Z
date.issued:
2024-06-01
description.abstract:
Artificial intelligence (AI) has considerably advanced the methods for individualizing language learning opportunities, such as assessing learning progress and recommending effective individual instruction. In the present study, we conducted a meta-analysis to synthesize recent empirical findings pertaining to the utilization of AI-guided language learning and collected 61 samples (N = 8,282) from 17 research projects (e.g., Assessment to Instruction [A2i], Duolingo, and Project LISTEN). The results of our meta-analysis confirmed that AI-guided individualized language learning was effective for learners’ language development (d = 1.18, based on 26 within-group samples, N = 2,262) and had an overall positive treatment effect compared to business-as-usual conditions (d = 0.39, based on 35 between-group samples, N = 6,020). Moreover, the results of our moderator analyses for the treatment effect revealed that AI-guided language learning with machine learning and hybrid systems were more impactful than those with rule-based systems, which may be more helpful (compared to the former) in understanding how predictions are made from a pedagogical perspective. Evidence-based implications are provided based on the results of this meta-analysis.
endingpage:
162
format.extent:
162
identifier.citation:
Lee, H., & Lee, J. H. (2024). The effects of AI-guided individualized language learning: A meta-analysis. Language Learning & Technology, 28(2), 134–162. https://doi.org/10.64152/10125/73575
identifier.doi:
https://doi.org/10.64152/10125/73575
identifier.issn:
1094-3501
identifier.uri:
https://hdl.handle.net/10125/73575
number:
2
publicationname:
Language Learning & Technology
publisher:
University of Hawaii National Foreign Language Resource Center Center for Language & Technology
rights:
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License