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Systematic Review for AI-based Language Learning Tools

arXiv 2111.04455 ↗First posted 29 Oct 2021cs.CY cs.AIcited by 2

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Abstract (arXiv)

The Second Language Acquisition field has been significantly impacted by a greater emphasis on individualized learning and rapid developments in artificial intelligence (AI). Although increasingly adaptive language learning tools are being developed with the application of AI to the Computer Assisted Language Learning field, there have been concerns regarding insufficient information and teacher preparation. To effectively utilize these tools, teachers need an in-depth overview on recently developed AI-based language learning tools. Therefore, this review synthesized information on AI tools that were developed between 2017 and 2020. A majority of these tools utilized machine learning and natural language processing, and were used to identify errors, provide feedback, and assess language abilities. After using these tools, learners demonstrated gains in their language abilities and knowledge. This review concludes by presenting pedagogical implications and emerging themes in the future research of AI-based language learning tools.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 0 of its 59 references that are in the map. First posted on arXiv 29 Oct 2021.

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