The Transformation of Computer Fundamentals Education Driven by “DeepSeek”

-- Taking the Course “Principles of Computer Composition” as an Example

Abstract

In the current teaching process of computer fundamentals courses, challenges such as numerous and complex knowledge points, abstract and obscure concepts, a disconnect between theoretical instruction and practical training, as well as a lack of systematization and relevance in practical exercises have emerged. These issues have impacted the teaching of computer fundamentals courses. With the rapid advancement of artificial intelligence technology, how can we leverage deep learning techniques and the Deepseek model to overcome the limitations inherent in traditional classroom teaching? This approach aims to revitalize courses like “Principles of Computer Composition” by integrating dynamic elements into both theoretical instruction and practical training. We propose introducing the Deepseek Model and Artificial Intelligence Technology” reform framework into foundational computer education. This initiative seeks to better harness cutting-edge technologies to serve core curricula, guiding students toward proactive theoretical learning and active participation in the learning process. Ultimately, it cultivates students' ability to integrate theoretical knowledge with practical application.