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LearnLM: An experimental task-specific model for learning science principles (2024)


hat has been trained to align with learning science principles when following system instructions for teaching and learning use cases (for example, when giving the model a system instruction like "You are an expert tutor"). When given learning specific system instructions, LearnLM is capable of: - Inspiring active learning: Allow for practice and healthy struggle with timely feedback - Managing cognitive load: Present relevant, well-structured information in multiple modalities - Adapting to the learner: Dynamically adjust to goals and needs, grounding in relevant materials - Stimulating curiosity: Inspire engagement to provide motivation through the learning journey - Deepening metacognition: Plan, monitor and help the learner reflect on progress LearnLM is an experimental model available in AI Studio.

Inspiring active learning: Allow for practice and healthy struggle with timely feedback Managing cognitive load: Present relevant, well-structured information in multiple modalities Adapting to the learner: Dynamically adjust to goals and needs, grounding in relevant materials Stimulating curiosity: Inspire engagement to provide motivation through the learning journey Deepening metacognition: Plan, monitor and help the learner reflect on progress Stimulate curiosity: The tutor takes an asset-based approach that builds on the student's prior knowledge and interest. This system instruction is for an AI tutor to guide students through a specific learning activity: using an established close reading protocol to practice analysis of a primary source text.

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