Trane is an automated learning system for acquiring complex and highly layered skills. It is based on the principles of spaced repetition, mastery learning and chunking. Think of it as a system for progressing through a video game character’s skill tree while making sure that all the skills you’ve previously mastered are up to date, but applicable to any skill. Given a set of exercises that have been bundled into a course and further bound into a course, and the dependencies between those courses and courses, Trane selects the exercises to present to the user. It ensures that the exercises in a course or a course are not rendered until the exercises in its dependencies are fully mastered. It also tries…

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