Building on the work of customized chatbots for language teaching and learning and the second-language acquisition literature on corrective feedback (CF), this article showcases an innovative practice for building a tailored and task-based chatbot to provide CF. Given that extant chatbots are generally not sensitive to learners’ grammatical errors, we illustrate a way to install a CF function by using ‘action and parameters’ and ‘define prompts’ options in the chatbot-building platform known as Google DialogflowTM. Our study, which included upper-grade English-as-a-foreign language learners in South Korea, demonstrated that customized chatbots could offer CF when students made non-target utterances and elicit learner uptake successfully. Based on our innovation, we then provide directions for pedagogy on chatbot-based language learning.

中文翻译：

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在专为第二语言学习而设计的基于任务的聊天机器人中实现纠正反馈

基于用于语言教学和学习的定制聊天机器人的工作以及有关纠正反馈 (CF) 的第二语言习得文献，本文展示了构建定制的基于任务的聊天机器人以提供 CF 的创新实践。鉴于现有的聊天机器人通常对学习者的语法错误不敏感，我们演示了一种通过在称为 Google Dialogflow 的聊天机器人构建平台中使用“操作和参数”和“定义提示”选项来安装 CF 功能的方法TM值。我们的研究对象包括韩国的高年级英语作为外语学习者，结果表明，当学生发出非目标性话语时，定制的聊天机器人可以提供 CF，并成功引导学习者接受。基于我们的创新，我们为基于聊天机器人的语言学习的教学提供了方向。