Systems and Methods for Customizing Generative Artificial Intelligence Based on User Engagement to Provide Individualized Education Curriculums

An education platform comprising:

• a system with one or more hardware processors configured to:
• receive a request to provide individualized instruction to a user on a particular subject;
• present a first set of content associated with a first part of the particular subject to the user;
• track engagement that the user has with each content from the first set of content using a set of sensors;
• determine learning preferences of the user in response to tracking positive engagement that the user has with a subset of content in the first set of content of a first type, a first format, or a first presentation;
• customize a second set of content associated with a second part of the particular subject to differ from the first set of content based on the learning preferences of the user, wherein customizing the second set of content comprises selecting more content of the first type, the first format, or the first presentation for the second set of content than is included in the first set of content;
• and
• present the second set of content to the user.

A non-transitory computer-readable medium storing instructions that, when executed by one or more processors of an education platform, cause the education platform to perform operations comprising:

• receiving a request to provide individualized instruction to a user on a particular subject;
• presenting a first set of content associated with a first part of the particular subject to the user;
• tracking engagement that the user has with each content from the first set of content using a set of sensors;
• determining learning preferences of the user in response to tracking positive engagement that the user has with a subset of content in the first set of content of a first type, a first format, or a first presentation;
• customizing a second set of content associated with a second part of the particular subject to differ from the first set of content based on the learning preferences of the user, wherein customizing the second set of content comprises selecting more content of the first type, the first format, or the first presentation for the second set of content than is included in the first set of content;
• and
• presenting the second set of content to the user.