MOSP / 期刊 / 产教融合研究与实践 / 2026年·第4卷·第1期
研究文章

利用DeepSeek实现个性化与自适应学习

作者:屈致君*
西安工业大学,陕西,西安,中国
*标记署名为通讯作者
提交:2025-10-20修改:2025-12-04录用:2026-01-06出版:2026-01-31
产教融合研究与实践 2026, 4(1), 30-36; https://doi.org/10.58244/rpiei.263573
课题资助:自筹经费。无利益冲突需要说明。

摘 要:AI 落地于教育并非新鲜事物,DeepSeek 是近年来兴起的大语言模型服务商之一,在长难句解读及上下文推断上有所侧重,并为差异化教学提供了调节机制,集成 NLP / RAG / 对话等功能。这样,不同的学科都可以在具体的某个问题的基础上层层深入下去。有研究表明 DeepSeek 这样的工具可能会带来教育形式上的变革,在正式或者非正式的学习过程中都支持以学生为中心、自主化以及终身学习的方向进行。本文最后探讨了上述变化对于未来 AI 支持下的学习环境的影响是怎样的意义。还提到在越来越普遍的智能系统中,教师可能会变成什么样子。

关键词 :人工智能教育;DeepSeek;个性化学习;大语言模型;批判性思维


 

正文 

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Using DeepSeek to Enable Personalized and Adaptive Learning

Abstract: In recent years AI in education filed were proposed very early so it is no longer regarded as a trend at present, DeepSeek is a new generation of super-large LLM service with strong language understanding ability and context reasoning capability, and offers adjustable support for personalized learning. By integrating natural language processing, retrieval-augmented generation, and dynamic interaction, this allows students from different fields to solve the problem in a progressive way. Research has indicated that such a tool (e.g., DeepSeek) can potentially transform educational practices to facilitate learnercentered, self-regulated, and lifelong learning within both formal/informal contexts . The following section concludes this paper with some reflections on what could be changed about future AI assisted learning environments and how teacher’s role might change when intelligent systems are increasingly used.

Keywords: Artificial Intelligence in Education; Deepseek; Personalized Learning; Large Language Models; Critical Thinking


 

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