AI-Driven Conversion of Textbooks into Long-Form Educational Videos

The integration of AI into educational content creation offers transformative opportunities for dynamic and interactive learning. VidAIQ, an innovative AI application, that converts static book content into long-form educational videos using OpenAI's APIs for audio, text, and multimedia processing. The system leverages Python libraries such as MoviePy for video editing while using AI Assistants to structure text into video scripts, generate visuals with DALL-E and Vision AI, and create live coding demonstrations. These elements are compiled into structured, engaging tutorials that enhance knowledge retention. Our analysis showed that VidAIQ outperformed traditional human-made content, reducing production time from 24 hours to 3.75 hours per four-hour video tutorial—a sixfold efficiency boost. AI-generated content cost just $5.04 per video, compared to $192 for human-produced tutorials. Engagement metrics collected over 30 days showed that AI-driven videos maintained similar viewership but with higher watch times, indicating slightly higher engagement. User preferences were leaning towards AI-generated content, with a higher like-to-view ratio of 5.61%, outperforming both the 4.85% for human videos and the industry average of 2.28%. These results demonstrate AI’s ability to create compelling educational experiences with similar or higher overall performance compared to human-generated video content. Future research is needed to explore performance trends over extended timeframes. This study demonstrates how AI-driven technologies can enhance the speed and scale of producing high-quality tutorials without compromising engagement or educational effectiveness. It achieves a remarkable balance of cost-effectiveness, allowing educational resources to be scaled to meet diverse learning needs.