Framework Documentation

Complete documentation and resources for implementing the Noesis AI Tutor Framework in your classroom

🚀 Framework Overview

The Noesis AI Tutor Framework is designed to help educators create and implement AI-powered tutoring systems that promote critical thinking and deep learning. The framework focuses on:

  • Educator-Friendly Tools: Simple markdown-based content creation
  • AI Tutor Integration: Ready-to-use prompt templates and configurations
  • Assessment Resources: Rubrics and evaluation frameworks
  • Community Collaboration: Open source with clear contribution pathways

⚙️ Setup & Configuration

ChatGPT Bot Template

Template for creating effective AI tutor custom instructions for any subject

Read Documentation

Subject Structure Guide

Standard folder organization and file structure for creating new subjects

Read Documentation

🎓 For Educators

Conversation Guidelines

Best practices for effective student-AI tutor interactions

Read Guide

Teacher Tools & Onboarding

Complete guide for teachers to implement AI tutors in their classroom with step-by-step workflow and tools

Read Guide

Question Format Guide

Template and guidelines for creating effective learning questions

Read Guide

� For Developers

Technical Setup Guide

Complete setup instructions for local development environment

Setup Guide

Source Code on GitHub

Access the full codebase, file issues, and view project structure

View on GitHub

🎯 Framework Philosophy

Critical Thinking First

  • Questions designed to promote deep thinking, not quick answers
  • AI tutors guide discovery rather than provide solutions
  • Assessment focuses on thinking process, not just correct answers

Markdown-Driven

  • All content created and managed through simple markdown files
  • Minimal technical overhead for educators
  • Version control and collaboration through standard tools

Subject-Specific Design

  • Each subject area has tailored approaches and methodologies
  • Content organized by difficulty levels and learning objectives
  • Flexible framework adaptable to different educational contexts

Community-Centered

  • Open source with clear contribution guidelines
  • Collaborative development between educators
  • Shared knowledge base that improves over time

Teacher-Friendly

  • Designed by educators for educators
  • Clear assessment rubrics and evaluation tools
  • Minimal setup time with maximum educational impact
  • Integration with existing teaching workflows

Ready to Get Started?

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Teacher Onboarding