Educational innovation driven by artificial intelligence: the impact of DeepSeek on teachers’ teaching models
Abstract
With the rapid development of artificial intelligence technology, DeepSeek, an innovative tool, is significantly changing teachers’ teaching models. This paper discusses how DeepSeek is used in classroom teaching, and analyzes its role in reshaping classroom roles, promoting personalized customization, improving the accuracy of teaching evaluation, and expanding educational resources. At the same time, a series of strategies are proposed to further improve teaching effectiveness, such as optimizing teaching content and teacher role interaction, promoting the construction of an intelligent collaborative teaching ecosystem, and using data-driven decision-making mechanisms as an aid. Through these reforms, the collaborative work between teachers and AI will promote the continuous development and innovation of future education.
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