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With
the rapid advancement of artificial intelligence
technologies, intelligent learning tools are playing an
increasingly critical role in reshaping modern
education. Among them, DeepSeek¡ªa next-generation large
language model platform optimized for complex language
understanding and contextual reasoning¡ªoffers a powerful
and adaptive framework for personalized learning. Its
integration of natural language processing,
retrieval-augmented generation, and interactive dialogue
systems allows learners to engage in dynamic,
inquiry-based exploration across a wide range of
disciplines. This paper presents a systematic
investigation into how DeepSeek can be applied
throughout the learning process, including the
construction of individualized study plans, in-depth
knowledge acquisition, automated self-testing and
feedback, intelligent note-taking, and interdisciplinary
problem solving. By simulating expert-like guidance and
offering tailored learning pathways, DeepSeek supports
not only cognitive development but also metacognitive
awareness, helping students identify and overcome
learning gaps in real time. Through empirical case
studies and functional analysis, we demonstrate that the
use of DeepSeek significantly enhances learning
efficiency, fosters deeper conceptual understanding,
promotes active learning behaviors, and cultivates
critical and creative thinking skills. These findings
suggest that DeepSeek has considerable potential as a
transformative educational tool, capable of supporting
student-centered, self-regulated, and lifelong learning
in both formal and informal educational settings. The
study concludes with a discussion of its implications
for future AI-assisted learning environments and the
evolving role of educators in the age of intelligent
systems. |
