GMAT with AI Tutoring by mojju-Personalized GMAT Preparation

Example

Creating a study schedule that adapts to a user's progress, focusing more on weaker areas like algebra or sentence correction.

Scenario

For a user who is strong in Quantitative Reasoning but weak in Verbal Reasoning, the AI would suggest a study plan that allocates more time to reading comprehension and critical reasoning exercises.

Example

Offering practice questions that adjust in difficulty based on the user's performance, ensuring a challenging yet achievable learning curve.

Scenario

If a user consistently answers medium-level quantitative questions correctly, the system will start presenting more difficult problems to continuously challenge the user.

Example

Providing in-depth feedback on practice questions, including explanations for why certain answers are correct or incorrect.

Scenario

After a user completes a set of practice questions, the AI provides a detailed review session, highlighting mistakes, offering explanations for the correct answers, and suggesting study materials to cover knowledge gaps.

Example

Using data analytics to monitor progress and identify trends in the user's performance over time.

Scenario

The platform generates a report showing a user's improvement in different sections of the GMAT over weeks of study, helping them see where they have improved and where they need to focus more effort.