面向K-12教育阶段自然语言处理教学的数字学习环境综述
A Review of Digital Learning Environments for Teaching Natural Language Processing in K-12 Education
AI总结：
本文针对K-12阶段NLP教学需求，全面综述现有数字学习环境的工具功能、教育场景下的可解释性与评估效果，梳理其优劣势与发展现状，为后续工具优化、新工具开发及NLP融入K-12教育的策略研究提供指引。
摘要：
自然语言处理（NLP）在我们的日常生活中发挥着重要作用，已成为K-12阶段人工智能（AI）教育的核心组成部分。随着儿童在搭载NLP技术的应用环境中成长，向他们普及NLP概念、培养其对语言处理、语言生成以及AI与NLP伦理影响的认知至关重要。本文对面向K-12 NLP教学的数字学习环境展开了全面综述，具体梳理了现有数字学习工具，探讨了这些工具如何支撑特定NLP任务与流程，并调研了其在教育场景下的可解释性与评估结果。通过分析这些工具的优势与局限，本综述阐明了K-12教育中NLP学习工具的发展现状，旨在为未来优化现有工具、开发新型工具以及探索更有效、更具包容性的NLP融入K-12教育的策略提供研究方向指引。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
