IQ Spark-Adaptive Learning Tool

Example

For a novice, IQ Spark might explain a logical reasoning question with simple language and step-by-step guidance. For an experienced user, it would use technical terms and ask for the underlying principles.

Scenario

A beginner learning about spatial reasoning might receive a detailed explanation of how to approach a 3D rotation problem, while an advanced user might be challenged with minimal guidance to solve a complex puzzle.

Example

If a user continuously solves advanced mathematical problems correctly, IQ Spark may introduce high-level abstract reasoning questions to further challenge them.

Scenario

Upon noticing a user's improvement over time in verbal reasoning, the platform progressively increases the difficulty of questions, incorporating more nuanced vocabulary and complex logical structures.

Example

After a user incorrectly answers a question about pattern recognition, IQ Spark provides a detailed breakdown of the mistake, highlighting the correct approach and suggesting similar exercises for practice.

Scenario

A user excels in a series of memory tasks. IQ Spark praises their strength in this area and suggests exploring related cognitive domains like attention to detail or multitasking.

Example

IQ Spark uses animated graphics to explain the concept of probability in a dice roll, making the learning process more visually engaging and easier to understand.

Scenario

For someone struggling with the concept of spatial orientation, IQ Spark might offer an interactive 3D model that users can manipulate to better grasp the idea.