From Course Concept to Lecture Video: An AI-Powered System for Automated MOOC Development

Producing lecture videos for online courses requires significant time and expertise, and current AI-generated videos often lack accuracy, consistency, and pedagogical grounding. This study presents a controllable system that converts slides and scripts into lecture videos. The system follows instructor intent and integrates the ICAP framework to ensure the presence of constructive questions. We evaluate the system using four metrics: ICAP assurance, video generation time ratio, speech consistency, and slides coverage rate. Results show that the system provides higher controllability and stronger educational alignment than NotebookLM, demonstrating its potential for scalable MOOC development.