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.
翻译:第二语言学习领域由于更加强调个性化学习和人工智能的快速发展而受到了重大影响。虽然随着AI应用于计算机辅助语言学习领域,正在开发适应性更强的语言学习工具,但人们对信息和教师准备不足表示关切。为了有效利用这些工具,教师需要深入了解最近开发的以AI为基础的语言学习工具。因此,本审查综合了2017年至2020年期间开发的关于AI工具的信息。这些工具大多使用了机器学习和自然语言处理,并被用于识别错误、提供反馈和评估语言能力。在使用这些工具后,学习者展示了语言能力和知识方面的进步。本审查最后在对AI为基础的语言学习工具的未来研究中提出了教学影响和新出现的主题。