Welcome to the LoopBot.ai documentation and how-to series. Learn more about the platform and how to maximize the benefits of the most advanced AI Teacher, Loopy.
Spaced repetition is an evidence-based learning technique that significantly improves long-term memory retention. It works by reviewing information at increasing intervals of time, strategically timing these reviews just as you’re about to forget the material. This ‘active recall’ process strengthens neural pathways, making information more resistant to forgetting and moving it from short-term to long-term memory. It’s far more effective than ‘cramming’ and can be implemented with tools like flashcards or dedicated apps.
‘Daily loops’ in your spaced repetition program refer to the automated delivery of a personalized set of ‘daily questions’ to the user. Each day, the system intelligently selects questions based on a spaced repetition algorithm, presenting material just as the user is most likely to forget it. This ensures consistent, optimized review for maximum long-term retention of course content.
In the context of your program, a ‘course’ is a structured collection of educational content, analogous to a traditional academic subject or curriculum. It’s composed of multiple ’lessons,’ which break down the subject matter into manageable learning units.
In your program, a ’lesson’ is a smaller, self-contained unit of learning within a ‘course’. Each lesson focuses on a specific topic or skill, breaking down the broader course material into digestible segments to facilitate effective learning.
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