Role of Video Content Generation in Education Systems Using Generative AI

Abstract

This chapter delves into the transformative potential of three cutting-edge models, i.e., CCVS, DreamPose, and Fast Vid2Vid, in reshaping educational video content creation. CCVS, a dynamic framework amalgamating generative and discriminative models, excels in synthesizing high-quality videos from text descriptions. Its versatility in video generation, interpolation, and prediction marks a paradigm shift in educational content development. DreamPose, an advanced AI system leveraging stable diffusion, translates textual descriptions into visually stunning fashion videos. Its user-friendly design caters to diverse fashion styles, making it an ideal tool for educators seeking visually engaging content across disciplines. Fast Vid2Vid, a deep learning model, takes the spotlight for efficiently generating high-quality videos from a single image. Recognized for its realism, it holds promise in dynamic visualizations for educational purposes, spanning virtual and augmented reality experiences. Practical insights and implementation strategies empower educators to seamlessly integrate these models into educational settings, offering a comprehensive guide from planning and scripting to interactive element incorporation. This chapter lays the foundation for educators and content creators to elevate the educational experience through innovative visual storytelling and AI-driven technologies.