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Learn Your Way: Reimagining Textbooks with Generative AI

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Grounded in learning, built for the student

Our approach is built on two key pillars that work together to augment the learning experience: (1) generating various multimodal representations of the content, and (2) taking foundational steps toward personalization.

The seminal dual coding theory states that forging mental connections between different representations strengthens the underlying conceptual schema in our brain. Subsequent research indeed showed that when students actively engage with information in various formats, they build a more robust and complete mental model of the material. Inspired by this, our approach empowers students with the agency to choose and intermix multiple formats and modalities to best help them understand the material. In addition, personalization is increasingly becoming an aspirational standard in K-12 educational settings, and so our research reflects this. We aim to enhance the relatability and effectiveness of educational content by adapting it to student attributes. Moreover, we incorporate quizzing capabilities that enable us to further tailor the experience according to the learners’ real-time responses. Such personalization can be a powerful method for enhancing motivation and deepening learning.

Bringing this to life involves a layered technical approach using LearnLM, our best-in-class pedagogy-infused family of models, now integrated directly into Gemini 2.5 Pro. The first layer is a unique personalization pipeline that serves as the basis for the second layer of multiple content representations. Our starting point is a textbook PDF, although our approach could be used with other forms of source material.