Natural Language Processing (NLP) plays a significant role in our daily lives
and has become an essential part of Artificial Intelligence (AI) education in
K-12. As children grow up with NLP-powered applications, it is crucial to
introduce NLP concepts to them, fostering their understanding of language
processing, language generation, and ethical implications of AI and NLP. This
paper presents a comprehensive review of digital learning environments for
teaching NLP in K-12. Specifically, it explores existing digital learning
tools, discusses how they support specific NLP tasks and procedures, and
investigates their explainability and evaluation results in educational
contexts. By examining the strengths and limitations of these tools, this
literature review sheds light on the current state of NLP learning tools in
K-12 education. It aims to guide future research efforts to refine existing
tools, develop new ones, and explore more effective and inclusive strategies
for integrating NLP into K-12 educational contexts.

本文综述了数字学习环境在 K-12 教育中教授自然语言处理（NLP）的应用情况，探讨了现有的数字学习工具如何支持特定的 NLP 任务与流程，并研究了它们在教育背景下的可解释性和评估结果。通过检验这些工具的优点和限制，本文研究揭示了 K-12 教育中自然语言处理学习工具的现状，旨在指导未来的研究努力改善现有工具，开发新工具，并探索更有效和包容的 NLP 整合策略。