
Adhering to learning science principles, LearnLM is designed to help create even more powerful and personalized ways to learn.
Built in collaboration with experts in education, LearnLM represents our capabilities fine-tuned for learning informed by rigorous research. These advancements and improvements are now available directly in Gemini, enhancing educational experiences and applications.
Research suggests that AI tutoring has the potential to help deliver effective, individualized learning support at scale
Partnering with Eedi, we tested LearnLM—our purpose-built model for learning now infused into Gemini capabilities—by integrating it into chat-based math tutoring, supervised by experienced teachers. LearnLM proved to be reliable, with only 0.1% of all messages containing factual errors. Students who received short tutoring sessions from LearnLM were 5.5 percentage points more likely to solve novel problems on subsequent topics than students who worked with human tutors alone. Read more in our technical report.
With LearnLM infused, Gemini 2.5 is the leading model for learning
In a head-to-head competition, educators and experts preferred Gemini 2.5 Pro over other models when evaluating its pedagogy and effectiveness in helping with learning goals across a diverse range of scenarios. 2.5 Pro also outperformed competitors on every one of the five principles of learning science used to build AI systems for learning.
Pedagogical experts significantly prefer LearnLM over other leading models
Expert pedagogical raters evaluated LearnLM to GPT-4o, Claude 3.5, and Gemini 1.5 Pro in a wide variety of simulated learning scenarios. Assessing pedagogical elements like guidance and correcting mistakes beyond mere accuracy, they significantly preferred LearnLM for its pedagogical quality.
A novel evaluation approach for gen AI in education
LearnLM represents an effort across Google DeepMind, Google Research, and our product teams. Our technical report presents our approach to improving generative AI for education and highlights how we’re working together with the AI and EdTech communities to responsibly maximize its positive impact and potential.
Research suggests that AI tutoring has the potential to help deliver effective, individualized learning support at scale
Partnering with Eedi, we tested LearnLM—our purpose-built model for learning now infused into Gemini capabilities—by integrating it into chat-based math tutoring, supervised by experienced teachers. LearnLM proved to be reliable, with only 0.1% of all messages containing factual errors. Students who received short tutoring sessions from LearnLM were 5.5 percentage points more likely to solve novel problems on subsequent topics than students who worked with human tutors alone. Read more in our technical report.
With LearnLM infused, Gemini 2.5 is the leading model for learning
In a head-to-head competition, educators and experts preferred Gemini 2.5 Pro over other models when evaluating its pedagogy and effectiveness in helping with learning goals across a diverse range of scenarios. 2.5 Pro also outperformed competitors on every one of the five principles of learning science used to build AI systems for learning.
Pedagogical experts significantly prefer LearnLM over other leading models
Expert pedagogical raters evaluated LearnLM to GPT-4o, Claude 3.5, and Gemini 1.5 Pro in a wide variety of simulated learning scenarios. Assessing pedagogical elements like guidance and correcting mistakes beyond mere accuracy, they significantly preferred LearnLM for its pedagogical quality.
A novel evaluation approach for gen AI in education
LearnLM represents an effort across Google DeepMind, Google Research, and our product teams. Our technical report presents our approach to improving generative AI for education and highlights how we’re working together with the AI and EdTech communities to responsibly maximize its positive impact and potential.













Experience LearnLM in Gemini
With LearnLM infused, Gemini adheres to model safety policies with education-specific evaluations and red teaming protocols built in. Gemini aims to align with a set of policy guidelines and is governed by Google’s Prohibited Use Policy.