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TRUVACE RECORD VERSION
record: TRV-2026-2793
version: 1
kind: certified
reason: Certified into the record
timestamp: 2026-11-12T17:24:52.136119Z
status: published
lens: g_space
sector: education
headline: Does Chatting with Chatbots Improve Language Learning Performance? A Meta-Analysis of Chatbot-Assisted Language Learning
dek: Given the importance of conversation practice in language learning, chatbots, especially ChatGPT, have attracted considerable attention for their ability to converse with learners using natural language. This review contributes to the literature by examining the currently unclear overall effect of using chatbots on language learning performance and comprehensively identifying important study characteristics that affect the overall effectiveness. We meta-analyzed 70 effect sizes from 28 studies, using robust vari…
gain_title: A meta-analysis of 70 effect sizes from 28 studies found that learners who used chatbots performed better in language learning than those in nonchatbot conditions (g = 0.484).
problem_title: (none)
trace_subject: (none)
gain_reading: A meta-analysis of 70 effect sizes from 28 studies found that learners who used chatbots performed better in language learning than those in nonchatbot conditions (g = 0.484).
gain_evidence: using chatbots produced a positive overall effect on language learning performance ( g = 0.484), compared to nonchatbot conditions
problem_reading: (none)
problem_evidence: (none)
quick_read: A meta-analysis in Review of Educational Research pooled 70 effect sizes from 28 studies and found that chatbot use produced a positive overall effect on language learning performance (g = 0.484) compared with conditions without chatbots.

The authors coded 18 study characteristics covering learners, chatbots, learning objectives, context, communication and interaction, and methodological and pedagogical design. Four of them changed how well chatbots worked: educational level, language level, interface design and interaction capability.

The review was motivated by the importance of conversation practice in language learning and by the attention ChatGPT and other chatbots have drawn for conversing with learners in natural language. Before this analysis, the overall effect was described as unclear.
limitation: 
tag: Evidence-backed gain
key_points: The meta-analysis combined 70 effect sizes drawn from 28 studies. | The pooled effect of chatbot use on language learning performance was g = 0.484 against nonchatbot conditions. | The analysis used robust variance estimation to handle multiple effect sizes per study. | Eighteen study characteristics were assessed, spanning learners, chatbots, learning objectives, context, interaction, and methodological and pedagogical design. | Educational level, language level, interface design and interaction capability affected overall effectiveness.
rundown: The authors set out to resolve an unclear overall picture of whether chatting with chatbots improves language learning. They meta-analyzed 70 effect sizes from 28 studies using robust variance estimation, comparing chatbot conditions with nonchatbot conditions.

They also tested 18 characteristics about learners, chatbots, learning objectives, context, communication and interaction, and study design. Four of these, educational level, language level, interface design and interaction capability, were found to affect how effective chatbots were, and the paper discusses how each relates to effectiveness along with implications for practice and research.
sources:
- peer_reviewed | Review of Educational Research | https://doi.org/10.3102/00346543241255621 | 2024-06-14
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