费曼原则导师-AI-powered learning assistant

Example

Explaining the concept of entropy in thermodynamics.

Scenario

A physics student finds the concept of entropy confusing. 费曼原则导师 explains entropy by comparing it to everyday experiences, such as the spreading out of perfume molecules in a room, to illustrate the idea of disorder and energy dispersion.

Example

Testing a user’s understanding of the Pythagorean theorem.

Scenario

A math learner believes they understand the Pythagorean theorem but struggles to apply it in different scenarios. 费曼原则导师 asks the learner to explain the theorem back and solve problems. By pinpointing where the learner hesitates or errs, 费曼原则导师 identifies specific gaps in their knowledge and provides targeted explanations to fill them.

Example

Refining an understanding of supply and demand in economics.

Scenario

An economics student has a basic understanding of supply and demand but needs to apply this knowledge to real-world market situations. 费曼原则导师 guides the student through a series of increasingly complex scenarios, adjusting explanations based on the student’s responses, ensuring that the student not only understands the basic concepts but also how they interconnect in various economic contexts.