What's Happening?
A study explores the application of AI and deep learning technology in ideological and political education (IPE) under a dual track cultivation model. The research utilizes an online education dataset to analyze learning behaviors and educational effectiveness.
The optimized model demonstrates significant advantages in classification, regression, and ranking tasks, improving students' theoretical knowledge acquisition and practical application skills. The study highlights the potential of AI in enhancing educational outcomes and student engagement.
Why It's Important?
The integration of AI and deep learning in education represents a transformative approach to teaching and learning, particularly in ideological and political education. By leveraging technology, educators can gain insights into student behaviors and tailor educational strategies to improve engagement and learning outcomes. The study's findings suggest that AI can enhance knowledge transfer efficiency and practical application skills, offering valuable tools for educators in vocational colleges. This approach aligns with broader trends in education, where technology is increasingly used to personalize learning experiences and improve educational effectiveness.
