A Method and Software to Create SCORM Units for Computer Science Courses

Producing learning videos for flipped classrooms is a time-consuming and manual task. This paper presents a method and software to create SCORM units for computer science courses. The method consists of a common structure for learning videos, a Python script to create SCORM units, and ChatGPT for quiz creation. The software is based on the open-source software FFmpeg for video production. The results after 40 learning units show that producing a learning video can be automated to a great extent.