Self Taught-AI-powered personalized learning

Example

For a beginner in programming, Self Taught initially focuses on basic concepts like variables and control structures. As the user progresses, the system introduces more advanced topics such as object-oriented programming and software design principles.

Scenario

A high school student starting their journey into computer science receives a custom syllabus that progresses in complexity based on their pace and understanding, including interactive coding exercises.

Example

Using real-time quizzes and problem-solving exercises, Self Taught engages users in their learning process actively. It adjusts the difficulty of these tasks based on the user's performance to ensure they are always challenged but not overwhelmed.

Scenario

An adult learner studying history might engage with a series of interactive timelines and scenario-based games that help them understand the impact of historical events on modern society.

Example

Self Taught analyzes user feedback to refine its teaching methods. If a user finds a particular teaching style less effective, the system can switch to alternative methods, like visual learning aids or more detailed written explanations.

Scenario

A visual learner struggling with textual content in a biology course might be provided with more diagrams, videos, and interactive 3D models to help them better understand cellular processes.