Culturally Adaptive Integration of Generative AI in Film Production and Education

This paper presents a multimodal framework integrating generative artificial intelligence (AI) into film production and educational content creation, with a focus on cultural adaptability. Combining text generation, visual synthesis, audio-video integration, and interactive Q&A modules, the framework enables automated production of culturally enriched educational media, using Guangdong culture as a case study. A demonstration using ChatGPT-4o, Stable Diffusion XL, and Pika Labs explored a futuristic urban scenario, with evaluations from 15 participants highlighting strong engagement, narrative depth, and cultural resonance. Comparative tool analysis revealed trade-offs in generation speed, quality, and post-editing flexibility, while user feedback emphasized the importance of fine-grained control, educational clarity, and ethical safeguards. This study offers practical and theoretical insights for advancing culturally responsive, AI-driven educational media at the intersection of artificial intelligence, creative industries, and education.