Interest

Sensemaking

Principle in Action

Khanmigo is an AI tutor that adapts to student interests. It tailors lessons to align with each learner's personal goals and engages the learner by structuring content around their interests and passion. For example, a student interested in space might receive math problems related to astronomy. This personalized approach deepens engagement, helping learners stay motivated and find greater meaning in the material.

Khanmigo

Student exploring climate change may encounter arguments both for and against certain policies, prompting them to critically evaluate and reconcile differing viewpoints

Student exploring climate change may encounter arguments both for and against certain policies, prompting them to critically evaluate and reconcile differing viewpoints

Discuss in your team

How can you identify personal interests and goals of learners in your educational product?

How will you ensure that the content remains relevant and engaging without sacrificing the core learning objectives?

Can the product offer dynamic content suggestions based on the learner’s expressed interests or past interactions?

How can you measure whether personalized content based on learner interests leads to increased engagement and better learning outcomes?

Principle Definition

Engage the learner by structuring content around their interests and goals. Learners who have intrinsic motivations for the learning goals would make sense of and engage more with the material.

Interest

Sensemaking

Principle Definition

Engage the learner by structuring content around their interests and goals. Learners who have intrinsic motivations for the learning goals would make sense of and engage more with the material.

Relevant Principles

Relevant Principles

Principle in Action

Khanmigo

Khanmigo is an AI tutor that adapts to student interests. It tailors lessons to align with each learner's personal goals and engages the learner by structuring content around their interests and passion. For example, a student interested in space might receive math problems related to astronomy. This personalized approach deepens engagement, helping learners stay motivated and find greater meaning in the material.

Student exploring climate change may encounter arguments both for and against certain policies, prompting them to critically evaluate and reconcile differing viewpoints

Discuss in your team

How can you identify personal interests and goals of learners in your educational product?

How will you ensure that the content remains relevant and engaging without sacrificing the core learning objectives?

Can the product offer dynamic content suggestions based on the learner’s expressed interests or past interactions?

How can you measure whether personalized content based on learner interests leads to increased engagement and better learning outcomes?