DeepSeek 在小学语文教学中的应用：场景、风险与协同路径

Application of DeepSeek in Primary Chinese Language Teaching: Scenarios, Risks, and Collaborative Pathways

This paper explores the application scenarios, associated risks, and collaborative pathways of the DeepSeek large language model in primary Chinese language teaching. Existing research indicates that artificial intelligence can significantly enhance instructional precision and student engagement through four major scenarios: intelligent lesson preparation and contextualized teaching, personalized learning, and intelligent assessment. However, its implementation faces three major risks: limitations in training data leading to knowledge distortion, overreliance that weakens students’ independent thinking ability, and technological dominance that dilutes humanistic care. In response, this paper proposes a dual pathway of “technology empowerment and humanistic guidance”: teachers should strictly review AI-generated content and innovate teaching models, while students should strengthen their awareness of digital ethics through critical use. Ultimately, this approach aims to achieve deep integration between AI tools and the humanistic value of Chinese language education.

本文探讨DeepSeek 大模型在小学语文教学中的应用场景、风险与协同路径。根据已有的研究表明，人工智能通过智能备课和情境化教学、个性化学习及智能评价四大场景，能够显著提升教学精准性与学生参与度。然而，其应用面临三大风险，训练数据局限性易导致知识失真、过度依赖削弱学生思维自主性、技术化倾向弱化人文关怀。对此，提出“技术赋能与人文引领”双路径：教师需严格审核内容并创新教学模式；学生应在批判性使用中强化数字伦理意识，最终实现人工智能工具与语文教育人文价值的深度融合。