Overview

The Marble Skill Taxonomy is a comprehensive, open, and structured dataset that meticulously breaks down the learning journey of children throughout their primary/elementary years. It goes beyond flat lists of standards by creating a connected graph of knowledge, detailing over 1,500 fine-grained "micro-topics" with clear descriptions, mastery criteria, and subject/age alignment. This repository provides the raw data, enabling developers, educators, and researchers to understand, visualize, and leverage a deep understanding of childhood learning.

Key Features

• 1,591 Granular Micro-Topics: Each topic represents a single, teachable concept (e.g., "Building sentences," "Apparent brightness of stars") with plain-language descriptions, evidence criteria, and type classification (conceptual, procedural, etc.).
• 3,225 Prerequisite Dependencies: A sophisticated directed acyclic graph maps the learning path, defining "topic X depends on prerequisite Y" with hard/soft tags and clear reasoning for each dependency.
• Curriculum Alignment: Every micro-topic is linked to its origins in national curriculum standards (NGSS, Common Core, UK National Curriculum, and more), providing a direct bridge between foundational learning and educational frameworks.
• Rich Teaching Research: Includes over 1,000 records of teaching research for Science and Mathematics topics, covering pedagogical approaches, learning activities, assessment guidance, and cited sources.
• Visualizable Data: The dataset is designed for exploration, with interactive visualizations available at withmarble.com/curriculum, showcasing the interconnectedness of topics and their prerequisite relationships.
• Open & Share-Alike Licensing: The database is licensed under ODbL 1.0 and content under CC BY-SA 4.0, encouraging research and commercial use with attribution and a commitment to keeping derivative databases open.

Typical Use Cases

• Educational Product Development: Build intelligent tutoring systems, personalized learning platforms, or adaptive assessment tools that leverage a precise understanding of learning progressions.
• Curriculum Design & Analysis: Analyze existing curricula for gaps, redundancies, or logical sequencing, and design new, more effective learning pathways.
• Educational Research: Investigate learning trajectories, cognitive development, and the efficacy of different teaching methodologies across specific micro-topics.
• Parental & Educator Resources: Create tools that help parents and teachers understand what children are learning at different ages and how concepts build upon each other.
• Data Visualization & Exploration: Develop engaging visualizations that illustrate the complex landscape of childhood learning for public understanding and academic study.