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TRUVACE RECORD VERSION
record: TRV-2026-2765
version: 1
kind: certified
reason: Certified into the record
timestamp: 2026-11-12T17:20:44.877923Z
status: published
lens: g_space
sector: education
headline: Effectiveness and implications of chatbot-supported language learning: a meta-analysis of global studies
dek: The use of chatbots has recently received considerable attention in educational research. In particular, an increasing number of studies have adopted chatbots in language learning. However, reviews examining the effects of using chatbots in language learning are scarce. Thus, this meta-analysis attempted to synthesise the available research findings on the effectiveness of using chatbots in language learning. It included 29 empirical studies. A random effects meta-analysis indicated that chatbot-supported interv…
gain_title: A meta-analysis of 29 empirical studies found chatbot-supported interventions produced a medium overall effect on language learning (g = 0.795), though results varied significantly between studies.
problem_title: (none)
trace_subject: (none)
gain_reading: A meta-analysis of 29 empirical studies found chatbot-supported interventions produced a medium overall effect on language learning (g = 0.795), though results varied significantly between studies.
gain_evidence: chatbots yielded a medium overall effect size on language learning (g = 0.795) | chatbot-supported interventions enhanced language learning
problem_reading: (none)
problem_evidence: (none)
quick_read: A meta-analysis pooled 29 empirical studies on chatbots in language learning and found that chatbot-supported interventions improved learning outcomes. The overall effect size was medium (g = 0.795) in a random effects model.

The authors say reviews of chatbot effects in language learning had been scarce even as more studies adopted chatbots. Results differed significantly across studies, so the average effect does not apply equally to every classroom or tool.
limitation: The authors report significant heterogeneity across the included studies, so the average effect varies widely between settings and designs.
tag: Evidence-backed gain
key_points: The meta-analysis included 29 empirical studies of chatbots used in language learning. | A random effects model gave an overall effect size of g = 0.795, described as medium. | The authors found significant heterogeneity across the included studies. | Eight moderator variables were examined: educational level, chatbot design principles, devices, modalities, language knowledge and skills, intervention duration, intervention setting and control conditions. | The authors also discuss implications for language teaching and for future research.
rundown: The review set out to fill a gap: although a growing number of studies have put chatbots into language learning, syntheses of their effects were scarce. It pooled 29 empirical studies using a random effects meta-analysis.

Chatbot-supported interventions enhanced language learning overall, with a medium effect size of g = 0.795. Heterogeneity across studies was significant.

To explain the variation, the authors examined eight potential moderators, including educational level, chatbot design principles, devices, modalities, the language skills targeted, how long interventions ran, where they took place and what control conditions were used.
sources:
- peer_reviewed | Interactive Learning Environments | https://doi.org/10.1080/10494820.2025.2598061 | 2025-12-15
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