Dewey
An open-source, agent-based AI educational framework designed to transform how we learn and teach. Named after educational philosopher John Dewey, this framework orchestrates specialized AI agents to deliver personalized, interactive educational experiences across disciplines.
About the Framework
The Dewey framework is an open-source platform for AI-powered educational intelligence. This experimental project creates an ecosystem of specialized educational agents orchestrated by a central coordination layer to transform learning experiences for students, educators, and professionals.
Led by Professor Nik Bear Brown, PhD, MBA, this educational experiment emphasizes learning through building, inviting contributors to discover effective approaches through practical implementation rather than claiming definitive solutions.
Agent-Based Architecture
The Dewey framework organizes specialized agents into categories, each focused on different aspects of the educational experience:
1. Content Generation Agents
Create personalized learning materials, intelligent AI books, and dynamic educational content tailored to individual learning styles and needs.
2. Tutorial Agents
Guide learners through complex topics with step-by-step explanations, Socratic questioning, and adaptive scaffolding techniques.
3. Assessment Agents
Analyze learner performance, provide formative feedback, and adapt content difficulty based on demonstrated understanding.
4. Simulation Agents
Create interactive learning environments, algorithm visualizations, and scientific simulations for hands-on experiential learning.
5. Mentor Agents
Provide personalized guidance, encouragement, and metacognitive support throughout the learning journey.
6. Career Development Agents
Assist with resume optimization, mock interviews, and professional skill development for job readiness.
The Dewey Orchestration Layer
At the heart of the framework is the Dewey orchestration layer, which coordinates the activities of specialized agents to create cohesive educational experiences:
Cross-Agent Validation
Ensures consistency across educational content and experiences created by different agents.
Dynamic Task Allocation
Assigns educational tasks to specialized agents based on learner needs and educational objectives.
Learning Pathway Optimization
Creates personalized learning journeys based on individual goals, prior knowledge, and learning styles.
Ethical Guardrails
Maintains educational integrity by ensuring AI assists learning rather than bypassing it.
The Dewey orchestration layer ensures these specialized agents collaborate effectively, just as Dewey himself integrated multiple educational approaches. By joining our community, you'll help develop these agentic systems that are already enhancing personalized learning and democratizing access to quality education.
Key Projects
Intelligent AI Books (Medhavi)
Transforming learning through personalized conversational AI books that adapt content to individual learners, solving the "chicken and egg" problem by guiding conversations through dynamic Socratic dialogue.
Subject-Specific Chatbots
Specialized educational chatbots including Ada (calculus), Newton (physics), and Grace (algorithms) that provide step-by-step guidance through complex concepts with interactive visualizations.
Botspeak
A comprehensive program teaching people how to effectively communicate with Large Language Models (LLMs) through practical tutorials, democratizing access to AI capabilities.
Case Crackers
An AI platform revolutionizing management education by generating customized case studies, simulating realistic case interviews, and providing business solution frameworks.
Get Started
Dewey provides a comprehensive framework for AI-driven educational intelligence. Explore the codebase, watch implementation demos, or join our collaborative development community.