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Artificial Intelligence-Driven Digital Content Creation and Educational Applications

Author(s)

Lei Lixiang

Affiliation(s)

School of information Engineering, Zaozhuang Vocational College of Science and Technology, Zaozhuang, China

Abstract

This study aims to solve the problems of low efficiency, single form and insufficient personalization of traditional educational digital content creation, and explore the application potential of artificial intelligence in educational content iteration and teaching innovation. Adopting literature review and empirical case analysis methods, this paper systematically combs core AI content generation technologies, analyzes the fusion mechanism of intelligent digital content creation and modern education scenarios. The research finds that artificial intelligence can significantly improve the production efficiency and personalized level of educational resources, while facing challenges of content quality risks and scenario adaptation difficulties. It provides effective references for the intelligent upgrading of modern educational systems.

Keywords

Artificial Intelligence; Digital Content Creation; Educational Application; Educational Digital Transformation

References

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