Prospects of Generative Video Technology in the Field of Chinese Classical Literature: Exploring Female Education Through the Reimagining of Chinese Poetic Imagery Using Runway ML Gen-3 Alpha

With the rapid advancement of artificial intelligence, generative video technology offers new possibilities in the field of education, particularly in enhancing women's literary skills and driving educational innovation. Chinese classical poetry, as a cultural treasure, often poses challenges for students due to its abstract imagery and complex content. These challenges are especially pronounced in women's education, where traditional teaching methods often lack intuitiveness and interactivity. This study, based on the generative video capabilities of the Runway ML Gen-3 Alpha model, explores how video generation technology can enhance female students' interest in learning and improve their memory retention by enabling them to perceive the imagery of classical poetry more intuitively. The research analyzes the applicability of generative video technology in women's education from a theoretical perspective and proposes specific methods and pathways for integrating it into classical literature teaching. By emphasizing women's cognitive strengths in visual perception and emotional resonance, the study further investigates how technology-driven teaching models can optimize educational outcomes and achieve a deep integration of traditional literature with modern technology. The findings indicate that generative video technology not only enhances the vividness of learning but also promotes the innovation of educational methods, offering new directions and approaches for cultural heritage and educational reform in the future.