Systematic literature review analyzes language education outcomes using AI and XR technologies, highlighting key strategies and challenges.
Key Points
Integration of AI and XR in language education shows significant promise for enhancing skills like speaking and writing, while addressing specific challenges.
Key findings from 32 empirical studies reveal trends in educational settings, target languages, and effective pedagogical frameworks in AI and XR integration.
Systematic analysis employed the PRISMA framework, focusing on various methodologies across databases like ERIC and Scopus to synthesize relevant literature.
Future directions emphasize the necessity for adaptive AI systems and further research to ensure scalable and effective language learning opportunities.