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CS.ROBOT.K2.SENSORSINTRO.3
Grades K-2
Robotics
Sensors Intro
Students will design and program robots using sensors intro principles
[]
Create
CS.PROG.35.SCRATCH.3
Grades 3-5
Programming
Scratch
Using Scratch: Create games and animations
[]
Scratch
Practical Demo
Apply
CS.DATA.K2.SIMPLEGRAPHS.2
Grades K-2
Data Science
Simple Graphs
Students will use simple graphs to extract insights from data
[]
Analyze
CS.PROG.912.PYTHON.3
Grades 9-12
Programming
Python
Using Python: Develop full applications with user interfaces
[]
Python
Practical Demo
Apply
CS.CYBER.68.NETWORKSECURITY.2
Grades 6-8
Cybersecurity
Network Security
Students will implement network security practices to protect digital systems
[]
Apply
CS.IMPACTSOFCOMPUTING.912.SOCIALINTERACTIONS.2
Grades 9-12
Impacts of Computing
Social Interactions
Students will create innovative solutions that demonstrate social interactions
[ "Fostering an Inclusive Computing Culture", "Creating Computational Artifacts", "Recognizing and Defining Computational Problems", "Communicating about Computing" ]
Apply
CS.CYBER.68.ENCRYPTIONBASICS.1
Grades 6-8
Cybersecurity
Encryption Basics
Students will implement encryption basics practices to protect digital systems
[]
Apply
CS.ALGORITHMSANDPROGRAMMING.912.MODULARITY.3
Grades 9-12
Algorithms and Programming
Modularity
Students will analyze ethical implications of modularity in computing
[ "Testing and Refining Computational Artifacts", "Communicating about Computing", "Developing and Using Abstractions", "Fostering an Inclusive Computing Culture" ]
Analyze
CS.PROG.912.ADVANCEDWEBDEVELOPMENT.3
Grades 9-12
Programming
Advanced Web Development
Using Advanced Web Development: Develop full applications with user interfaces
[]
Advanced Web Development
Practical Demo
Apply
CS.PROG.K2.UNPLUGGEDACTIVITIES.2
Grades K-2
Programming
Unplugged Activities
Using Unplugged Activities: Use loops to repeat actions
[]
Unplugged Activities
Code Review
Apply
CS.PROG.68.APPDEVELOPMENT.1
Grades 6-8
Programming
App Development
Using App Development: Design algorithms to solve problems
[]
App Development
Project
Apply
CS.ALGORITHMSANDPROGRAMMING.912.ALGORITHMS.1
Grades 9-12
Algorithms and Programming
Algorithms
Students will develop advanced understanding of algorithms principles
[ "Recognizing and Defining Computational Problems", "Testing and Refining Computational Artifacts", "Creating Computational Artifacts" ]
Understand
CS.AI.K2.SIMPLEDECISIONTREES.2
Grades K-2
Artificial Intelligence
Simple Decision Trees
Students will understand and apply simple decision trees in computing contexts
[]
Understand
CS.DATAANDANALYSIS.K2.VISUALIZATIONANDCOMMUNICATION.1
Grades K-2
Data and Analysis
Visualization and Communication
Students will identify basic visualization and communication in everyday technology
[ "Collaborating around Computing", "Testing and Refining Computational Artifacts", "Developing and Using Abstractions" ]
Understand
CS.DATA.912.PREDICTIVEANALYTICS.3
Grades 9-12
Data Science
Predictive Analytics
Students will use predictive analytics to extract insights from data
[]
Analyze
CS.PROG.K2.VISUALPROGRAMMING(SCRATCHJR).3
Grades K-2
Programming
Visual Programming (ScratchJr)
Using Visual Programming (ScratchJr): Create simple interactive stories
[]
Visual Programming (ScratchJr)
Practical Demo
Apply
CS.AI.35.MACHINELEARNINGBASICS.1
Grades 3-5
Artificial Intelligence
Machine Learning Basics
Students will understand and apply machine learning basics in computing contexts
[]
Understand
CS.PROG.912.PYTHON.3
Grades 9-12
Programming
Python
Using Python: Develop full applications with user interfaces
[]
Python
Practical Demo
Apply
CS.ROBOT.35.PROGRAMMINGROBOTS.1
Grades 3-5
Robotics
Programming Robots
Students will design and program robots using programming robots principles
[]
Create
CS.PROG.K2.UNPLUGGEDACTIVITIES.1
Grades K-2
Programming
Unplugged Activities
Using Unplugged Activities: Sequence commands to move characters
[]
Unplugged Activities
Project
Apply
CS.ROBOT.35.SENSORDATA.2
Grades 3-5
Robotics
Sensor Data
Students will design and program robots using sensor data principles
[]
Create
CS.AI.35.MACHINELEARNINGBASICS.1
Grades 3-5
Artificial Intelligence
Machine Learning Basics
Students will understand and apply machine learning basics in computing contexts
[]
Understand
CS.DATA.912.DATAETHICS.4
Grades 9-12
Data Science
Data Ethics
Students will use data ethics to extract insights from data
[]
Analyze
CS.PROG.912.JAVA.2
Grades 9-12
Programming
Java
Using Java: Analyze algorithm efficiency
[]
Java
Code Review
Apply
CS.AI.35.MACHINELEARNINGBASICS.1
Grades 3-5
Artificial Intelligence
Machine Learning Basics
Students will understand and apply machine learning basics in computing contexts
[]
Understand
CS.CYBER.912.CRYPTOGRAPHY.1
Grades 9-12
Cybersecurity
Cryptography
Students will implement cryptography practices to protect digital systems
[]
Apply
CS.AI.912.COMPUTERVISION.2
Grades 9-12
Artificial Intelligence
Computer Vision
Students will understand and apply computer vision in computing contexts
[]
Understand
CS.NETWORKSANDINTERNET.68.NETWORKCOMMUNICATIONANDORGANIZATION.1
Grades 6-8
Networks and the Internet
Network Communication and Organization
Students will design and implement solutions using network communication and organization
[ "Testing and Refining Computational Artifacts", "Communicating about Computing", "Recognizing and Defining Computational Problems", "Creating Computational Artifacts" ]
Understand
CS.PROG.912.C++.2
Grades 9-12
Programming
C++
Using C++: Analyze algorithm efficiency
[]
C++
Code Review
Apply
CS.PROG.68.PYTHON.1
Grades 6-8
Programming
Python
Using Python: Design algorithms to solve problems
[]
Python
Project
Apply
CS.ALGORITHMSANDPROGRAMMING.K2.PROGRAMDEVELOPMENT.2
Grades K-2
Algorithms and Programming
Program Development
Students will demonstrate simple program development through hands-on activities
[ "Creating Computational Artifacts", "Collaborating around Computing", "Fostering an Inclusive Computing Culture" ]
Apply
CS.DATA.K2.SORTINGANDCOUNTING.1
Grades K-2
Data Science
Sorting and Counting
Students will use sorting and counting to extract insights from data
[]
Analyze
CS.ALGORITHMSANDPROGRAMMING.35.ALGORITHMS.2
Grades 3-5
Algorithms and Programming
Algorithms
Students will create simple projects using algorithms
[ "Fostering an Inclusive Computing Culture", "Communicating about Computing", "Recognizing and Defining Computational Problems", "Creating Computational Artifacts" ]
Apply
CS.DATAANDANALYSIS.912.COLLECTION.2
Grades 9-12
Data and Analysis
Collection
Students will create innovative solutions that demonstrate collection
[ "Collaborating around Computing", "Recognizing and Defining Computational Problems", "Fostering an Inclusive Computing Culture", "Communicating about Computing" ]
Apply
CS.PROG.35.BASICROBOTICS.1
Grades 3-5
Programming
Basic Robotics
Using Basic Robotics: Write programs with variables and conditionals
[]
Basic Robotics
Project
Apply
CS.CYBER.912.INCIDENTRESPONSE.4
Grades 9-12
Cybersecurity
Incident Response
Students will implement incident response practices to protect digital systems
[]
Apply
CS.IMPACTSOFCOMPUTING.912.SOCIALINTERACTIONS.3
Grades 9-12
Impacts of Computing
Social Interactions
Students will analyze ethical implications of social interactions in computing
[ "Testing and Refining Computational Artifacts", "Collaborating around Computing", "Recognizing and Defining Computational Problems" ]
Analyze
CS.AI.K2.SIMPLEDECISIONTREES.2
Grades K-2
Artificial Intelligence
Simple Decision Trees
Students will understand and apply simple decision trees in computing contexts
[]
Understand
CS.PROG.912.JAVA.3
Grades 9-12
Programming
Java
Using Java: Develop full applications with user interfaces
[]
Java
Practical Demo
Apply
CS.ALGORITHMSANDPROGRAMMING.K2.PROGRAMDEVELOPMENT.1
Grades K-2
Algorithms and Programming
Program Development
Students will identify basic program development in everyday technology
[ "Communicating about Computing", "Creating Computational Artifacts", "Developing and Using Abstractions" ]
Understand
CS.PROG.912.JAVA.2
Grades 9-12
Programming
Java
Using Java: Analyze algorithm efficiency
[]
Java
Code Review
Apply
CS.DATAANDANALYSIS.K2.COLLECTION.1
Grades K-2
Data and Analysis
Collection
Students will identify basic collection in everyday technology
[ "Communicating about Computing", "Developing and Using Abstractions", "Creating Computational Artifacts", "Fostering an Inclusive Computing Culture" ]
Understand
CS.PROG.912.PYTHON.2
Grades 9-12
Programming
Python
Using Python: Analyze algorithm efficiency
[]
Python
Code Review
Apply
CS.DATA.35.CHARTSANDGRAPHS.1
Grades 3-5
Data Science
Charts and Graphs
Students will use charts and graphs to extract insights from data
[]
Analyze
CS.ROBOT.35.ROBOTCHALLENGES.3
Grades 3-5
Robotics
Robot Challenges
Students will design and program robots using robot challenges principles
[]
Create
CS.DATA.K2.DATACOLLECTION.3
Grades K-2
Data Science
Data Collection
Students will use data collection to extract insights from data
[]
Analyze
CS.ROBOT.68.ROBOTDESIGN.3
Grades 6-8
Robotics
Robot Design
Students will design and program robots using robot design principles
[]
Create
CS.PROG.68.PYTHON.2
Grades 6-8
Programming
Python
Using Python: Use functions and parameters
[]
Python
Code Review
Apply
CS.DATAANDANALYSIS.K2.ORGANIZATIONANDSTORAGE.2
Grades K-2
Data and Analysis
Organization and Storage
Students will demonstrate simple organization and storage through hands-on activities
[ "Fostering an Inclusive Computing Culture", "Communicating about Computing", "Recognizing and Defining Computational Problems" ]
Apply
CS.AI.35.MACHINELEARNINGBASICS.1
Grades 3-5
Artificial Intelligence
Machine Learning Basics
Students will understand and apply machine learning basics in computing contexts
[]
Understand
CS.AI.68.BIASINAI.3
Grades 6-8
Artificial Intelligence
Bias in AI
Students will understand and apply bias in ai in computing contexts
[]
Understand
CS.DATAANDANALYSIS.35.VISUALIZATIONANDCOMMUNICATION.1
Grades 3-5
Data and Analysis
Visualization and Communication
Students will explain how visualization and communication works in computing systems
[ "Testing and Refining Computational Artifacts", "Recognizing and Defining Computational Problems", "Collaborating around Computing", "Communicating about Computing" ]
Understand
CS.PROG.68.APPDEVELOPMENT.1
Grades 6-8
Programming
App Development
Using App Development: Design algorithms to solve problems
[]
App Development
Project
Apply
CS.COMPUTINGSYSTEMS.35.DEVICES.2
Grades 3-5
Computing Systems
Devices
Students will create simple projects using devices
[ "Creating Computational Artifacts", "Collaborating around Computing", "Recognizing and Defining Computational Problems", "Communicating about Computing" ]
Apply
CS.NETWORKSANDINTERNET.912.NETWORKCOMMUNICATIONANDORGANIZATION.1
Grades 9-12
Networks and the Internet
Network Communication and Organization
Students will develop advanced understanding of network communication and organization principles
[ "Developing and Using Abstractions", "Creating Computational Artifacts", "Recognizing and Defining Computational Problems", "Communicating about Computing" ]
Understand
CS.CYBER.912.PENETRATIONTESTING.2
Grades 9-12
Cybersecurity
Penetration Testing
Students will implement penetration testing practices to protect digital systems
[]
Apply
CS.PROG.35.SCRATCH.2
Grades 3-5
Programming
Scratch
Using Scratch: Debug simple programs
[]
Scratch
Code Review
Apply
CS.PROG.912.DATASCIENCE.2
Grades 9-12
Programming
Data Science
Using Data Science: Analyze algorithm efficiency
[]
Data Science
Code Review
Apply
CS.PROG.K2.UNPLUGGEDACTIVITIES.2
Grades K-2
Programming
Unplugged Activities
Using Unplugged Activities: Use loops to repeat actions
[]
Unplugged Activities
Code Review
Apply
CS.PROG.68.WEBDESIGN.1
Grades 6-8
Programming
Web Design
Using Web Design: Design algorithms to solve problems
[]
Web Design
Project
Apply
CS.COMPUTINGSYSTEMS.912.HARDWAREANDSOFTWARE.2
Grades 9-12
Computing Systems
Hardware and Software
Students will create innovative solutions that demonstrate hardware and software
[ "Fostering an Inclusive Computing Culture", "Collaborating around Computing", "Recognizing and Defining Computational Problems", "Communicating about Computing" ]
Apply
CS.AI.68.BIASINAI.3
Grades 6-8
Artificial Intelligence
Bias in AI
Students will understand and apply bias in ai in computing contexts
[]
Understand
CS.ROBOT.68.ROBOTDESIGN.3
Grades 6-8
Robotics
Robot Design
Students will design and program robots using robot design principles
[]
Create
CS.DATAANDANALYSIS.K2.ORGANIZATIONANDSTORAGE.3
Grades K-2
Data and Analysis
Organization and Storage
Students will recognize the role of organization and storage in solving problems
[ "Developing and Using Abstractions", "Fostering an Inclusive Computing Culture", "Creating Computational Artifacts", "Testing and Refining Computational Artifacts" ]
Analyze
CS.PROG.35.SCRATCH.3
Grades 3-5
Programming
Scratch
Using Scratch: Create games and animations
[]
Scratch
Practical Demo
Apply
CS.DATA.35.SURVEYDATA.2
Grades 3-5
Data Science
Survey Data
Students will use survey data to extract insights from data
[]
Analyze
CS.IMPACTSOFCOMPUTING.912.SOCIALINTERACTIONS.1
Grades 9-12
Impacts of Computing
Social Interactions
Students will develop advanced understanding of social interactions principles
[ "Collaborating around Computing", "Developing and Using Abstractions", "Communicating about Computing", "Creating Computational Artifacts" ]
Understand
CS.NETWORKSANDINTERNET.68.NETWORKCOMMUNICATIONANDORGANIZATION.2
Grades 6-8
Networks and the Internet
Network Communication and Organization
Students will evaluate different approaches to network communication and organization
[ "Collaborating around Computing", "Communicating about Computing", "Creating Computational Artifacts", "Recognizing and Defining Computational Problems" ]
Apply
CS.ALGORITHMSANDPROGRAMMING.35.ALGORITHMS.1
Grades 3-5
Algorithms and Programming
Algorithms
Students will explain how algorithms works in computing systems
[ "Recognizing and Defining Computational Problems", "Creating Computational Artifacts", "Fostering an Inclusive Computing Culture" ]
Understand
CS.PROG.68.JAVASCRIPT.3
Grades 6-8
Programming
JavaScript
Using JavaScript: Work with data structures like lists
[]
JavaScript
Practical Demo
Apply
CS.PROG.68.JAVASCRIPT.3
Grades 6-8
Programming
JavaScript
Using JavaScript: Work with data structures like lists
[]
JavaScript
Practical Demo
Apply
CS.COMPUTINGSYSTEMS.K2.DEVICES.3
Grades K-2
Computing Systems
Devices
Students will recognize the role of devices in solving problems
[ "Recognizing and Defining Computational Problems", "Developing and Using Abstractions", "Collaborating around Computing", "Testing and Refining Computational Artifacts" ]
Analyze
CS.PROG.912.PYTHON.1
Grades 9-12
Programming
Python
Using Python: Implement object-oriented programming concepts
[]
Python
Project
Apply
CS.DATAANDANALYSIS.K2.INFERENCEANDMODELS.1
Grades K-2
Data and Analysis
Inference and Models
Students will identify basic inference and models in everyday technology
[ "Collaborating around Computing", "Recognizing and Defining Computational Problems", "Testing and Refining Computational Artifacts", "Creating Computational Artifacts" ]
Understand
CS.PROG.35.HOUROFCODE.2
Grades 3-5
Programming
Hour of Code
Using Hour of Code: Debug simple programs
[]
Hour of Code
Code Review
Apply
CS.ROBOT.68.AUTONOMOUSSYSTEMS.2
Grades 6-8
Robotics
Autonomous Systems
Students will design and program robots using autonomous systems principles
[]
Create
CS.PROG.68.PYTHON.3
Grades 6-8
Programming
Python
Using Python: Work with data structures like lists
[]
Python
Practical Demo
Apply
CS.DATA.35.SURVEYDATA.2
Grades 3-5
Data Science
Survey Data
Students will use survey data to extract insights from data
[]
Analyze
CS.ALGORITHMSANDPROGRAMMING.K2.ALGORITHMS.1
Grades K-2
Algorithms and Programming
Algorithms
Students will identify basic algorithms in everyday technology
[ "Creating Computational Artifacts", "Fostering an Inclusive Computing Culture", "Communicating about Computing", "Testing and Refining Computational Artifacts" ]
Understand
CS.PROG.K2.UNPLUGGEDACTIVITIES.2
Grades K-2
Programming
Unplugged Activities
Using Unplugged Activities: Use loops to repeat actions
[]
Unplugged Activities
Code Review
Apply
CS.PROG.912.C++.3
Grades 9-12
Programming
C++
Using C++: Develop full applications with user interfaces
[]
C++
Practical Demo
Apply
CS.PROG.912.PYTHON.2
Grades 9-12
Programming
Python
Using Python: Analyze algorithm efficiency
[]
Python
Code Review
Apply
CS.ROBOT.912.INDUSTRIALAUTOMATION.3
Grades 9-12
Robotics
Industrial Automation
Students will design and program robots using industrial automation principles
[]
Create
CS.AI.K2.PATTERNRECOGNITION.1
Grades K-2
Artificial Intelligence
Pattern Recognition
Students will understand and apply pattern recognition in computing contexts
[]
Understand
CS.ALGORITHMSANDPROGRAMMING.K2.MODULARITY.3
Grades K-2
Algorithms and Programming
Modularity
Students will recognize the role of modularity in solving problems
[ "Creating Computational Artifacts", "Recognizing and Defining Computational Problems", "Communicating about Computing" ]
Analyze
CS.PROG.912.C++.1
Grades 9-12
Programming
C++
Using C++: Implement object-oriented programming concepts
[]
C++
Project
Apply
CS.NETWORKSANDINTERNET.68.NETWORKPROTOCOLSANDLAYERS.1
Grades 6-8
Networks and the Internet
Network Protocols and Layers
Students will design and implement solutions using network protocols and layers
[ "Developing and Using Abstractions", "Recognizing and Defining Computational Problems", "Testing and Refining Computational Artifacts" ]
Understand
CS.ALGORITHMSANDPROGRAMMING.35.PROGRAMDEVELOPMENT.2
Grades 3-5
Algorithms and Programming
Program Development
Students will create simple projects using program development
[ "Communicating about Computing", "Developing and Using Abstractions", "Testing and Refining Computational Artifacts" ]
Apply
CS.COMPUTINGSYSTEMS.912.HARDWAREANDSOFTWARE.1
Grades 9-12
Computing Systems
Hardware and Software
Students will develop advanced understanding of hardware and software principles
[ "Collaborating around Computing", "Creating Computational Artifacts", "Developing and Using Abstractions", "Fostering an Inclusive Computing Culture" ]
Understand
CS.NETWORKSANDINTERNET.912.NETWORKPROTOCOLSANDLAYERS.1
Grades 9-12
Networks and the Internet
Network Protocols and Layers
Students will develop advanced understanding of network protocols and layers principles
[ "Creating Computational Artifacts", "Testing and Refining Computational Artifacts", "Developing and Using Abstractions", "Recognizing and Defining Computational Problems" ]
Understand
CS.ROBOT.K2.ROBOTMOVEMENT.1
Grades K-2
Robotics
Robot Movement
Students will design and program robots using robot movement principles
[]
Create
CS.CYBER.35.DATAPRIVACY.1
Grades 3-5
Cybersecurity
Data Privacy
Students will implement data privacy practices to protect digital systems
[]
Apply
CS.NETWORKSANDINTERNET.K2.NETWORKPROTOCOLSANDLAYERS.3
Grades K-2
Networks and the Internet
Network Protocols and Layers
Students will recognize the role of network protocols and layers in solving problems
[ "Developing and Using Abstractions", "Testing and Refining Computational Artifacts", "Communicating about Computing" ]
Analyze
CS.PROG.912.C++.1
Grades 9-12
Programming
C++
Using C++: Implement object-oriented programming concepts
[]
C++
Project
Apply
CS.NETWORKSANDINTERNET.912.NETWORKPROTOCOLSANDLAYERS.2
Grades 9-12
Networks and the Internet
Network Protocols and Layers
Students will create innovative solutions that demonstrate network protocols and layers
[ "Recognizing and Defining Computational Problems", "Developing and Using Abstractions" ]
Apply
CS.IMPACTSOFCOMPUTING.K2.CULTURE.3
Grades K-2
Impacts of Computing
Culture
Students will recognize the role of culture in solving problems
[ "Creating Computational Artifacts", "Collaborating around Computing" ]
Analyze
CS.ALGORITHMSANDPROGRAMMING.68.PROGRAMDEVELOPMENT.3
Grades 6-8
Algorithms and Programming
Program Development
Students will collaborate to solve complex problems involving program development
[ "Communicating about Computing", "Developing and Using Abstractions", "Collaborating around Computing", "Creating Computational Artifacts" ]
Analyze
CS.CYBER.68.MALWAREPROTECTION.3
Grades 6-8
Cybersecurity
Malware Protection
Students will implement malware protection practices to protect digital systems
[]
Apply
CS.PROG.35.HOUROFCODE.1
Grades 3-5
Programming
Hour of Code
Using Hour of Code: Write programs with variables and conditionals
[]
Hour of Code
Project
Apply
CS.PROG.912.ADVANCEDWEBDEVELOPMENT.3
Grades 9-12
Programming
Advanced Web Development
Using Advanced Web Development: Develop full applications with user interfaces
[]
Advanced Web Development
Practical Demo
Apply
End of preview. Expand in Data Studio

🚀 K-12 Computer Science Comprehensive Standards Dataset

📊 Dataset Overview

The most comprehensive K-12 computer science education dataset available, containing 696 learning standards spanning traditional CS concepts and cutting-edge areas including AI/ML, cybersecurity, data science, and robotics. This dataset aggregates and structures educational standards from authoritative sources to support curriculum development, educational research, and AI applications in computer science education.

🎯 Key Features

  • 📚 Comprehensive Coverage: 696 standards across 5 major CS areas
  • 🎓 Grade Progressive: Age-appropriate learning objectives K-12
  • 🏛️ Standards Aligned: Based on CSTA 2017 and ISTE 2024 frameworks
  • 🌍 Real-World Connected: Links to industry applications and workforce needs
  • 🔬 Research Ready: Structured for educational AI and learning analytics
  • 🎯 Assessment Ready: Complete with cognitive levels and evaluation frameworks

📈 Dataset Statistics

Metric Value Description
Total Standards 696 Complete learning objectives
Training Examples 556 (80%) For model training
Test Examples 140 (20%) For evaluation
Grade Levels 4 bands K-2, 3-5, 6-8, 9-12
CS Concepts 10 areas Traditional + emerging technologies
Programming Languages 15 types Age-appropriate progression
Subconcepts 83 topics Detailed subject breakdown

📚 Content Breakdown

Core Areas Covered

Area Standards Grade Range Focus
🖥️ Computing Systems 36 K-12 Hardware, software, troubleshooting
🌐 Networks & Internet 36 K-12 Cybersecurity, protocols, communication
📊 Data & Analysis 48 K-12 Collection, visualization, inference
⚙️ Algorithms & Programming 60 K-12 Computational thinking, coding
🌍 Impacts of Computing 36 K-12 Ethics, society, culture
💻 Programming Languages 225 K-12 ScratchJr → Java/Python/C++
🤖 Artificial Intelligence 65 K-12 Pattern recognition → deep learning
🔒 Cybersecurity 65 K-12 Password safety → penetration testing
📊 Data Science 65 K-12 Simple graphs → big data analytics
🤖 Robotics 60 K-12 Robot movement → AI robotics

Programming Language Progression

Elementary (K-2)

  • Visual Programming (ScratchJr)
  • Unplugged Activities
  • Basic sequencing and loops

Elementary (3-5)

  • Scratch programming
  • Hour of Code activities
  • Basic robotics programming

Middle School (6-8)

  • Python fundamentals
  • JavaScript basics
  • App development introduction
  • Web design basics

High School (9-12)

  • Java programming
  • C++ development
  • Advanced web development
  • Data science applications
  • AI/ML programming basics

🎓 Educational Framework Alignment

CSTA K-12 Computer Science Standards (2017)

Core Concepts Covered:

  1. Computing Systems - Hardware/software interactions, troubleshooting
  2. Networks and the Internet - Communication, cybersecurity, protocols
  3. Data and Analysis - Collection, organization, visualization, modeling
  4. Algorithms and Programming - Computational thinking, code development
  5. Impacts of Computing - Social, ethical, cultural implications

Computational Thinking Practices:

  • Fostering an Inclusive Computing Culture
  • Collaborating around Computing
  • Recognizing and Defining Computational Problems
  • Developing and Using Abstractions
  • Creating Computational Artifacts
  • Testing and Refining Computational Artifacts
  • Communicating about Computing

ISTE Computational Thinking Competencies (2024)

Educator Competencies Supported:

  • Computational Thinking (Learner) - Professional development goals
  • Equity Leader - Inclusive computing practices
  • Collaborating Around Computing - Cross-discipline integration
  • Creativity & Design - Human-centered design thinking
  • Integrating Computational Thinking - Cross-curricular applications

🛠️ Technical Implementation

Hardware/Platform Progression

K-2 (Ages 5-7)

  • Robots: Bee-Bot, Code & Go, KIBO
  • Tools: ScratchJr, unplugged activities
  • Focus: Sequencing, basic commands

3-5 (Ages 8-10)

  • Robots: LEGO Mindstorms, Sphero, Dash & Dot
  • Tools: Scratch, Hour of Code
  • Focus: Loops, conditionals, debugging

6-8 (Ages 11-13)

  • Platforms: Arduino, Raspberry Pi, VEX Robotics
  • Languages: Python, JavaScript
  • Focus: Functions, data structures, algorithms

9-12 (Ages 14-18)

  • Advanced: ROS, TensorFlow Lite, OpenCV
  • Languages: Java, C++, advanced Python
  • Focus: OOP, software engineering, AI/ML

Cybersecurity Tools by Grade

  • K-2: Password managers, basic digital safety
  • 3-5: Secure browsers, privacy settings
  • 6-8: Firewalls, VPNs, encryption basics
  • 9-12: Kali Linux, Metasploit, Nmap, penetration testing

📖 Dataset Structure

Schema

Each record contains the following fields:

{
  "standard_id": "CS.AI.912.DEEPLEARNING.1",
  "grade_level": "Grades 9-12",
  "concept": "Artificial Intelligence",
  "subconcept": "Deep Learning",
  "learning_objective": "Students will understand and apply deep learning in computing contexts",
  "computational_practices": ["Creating Computational Artifacts", "Testing and Refining"],
  "programming_language": "Python",
  "assessment_type": "Project",
  "cognitive_level": "Create"
}

Field Descriptions

  • standard_id: Unique identifier following CS.[AREA].[GRADE].[CONCEPT].[NUM] format
  • grade_level: Target grade range (Grades K-2, 3-5, 6-8, 9-12)
  • concept: Primary CS area (Computing Systems, AI, Cybersecurity, etc.)
  • subconcept: Specific topic within the concept area
  • learning_objective: Detailed description of what students should achieve
  • computational_practices: CSTA practices addressed by this standard
  • programming_language: Specific language used (when applicable)
  • assessment_type: Recommended evaluation method
  • cognitive_level: Bloom's taxonomy level (Remember, Understand, Apply, Analyze, Evaluate, Create)

Grade Level Distribution

Grade Band Examples Percentage Focus Areas
K-2 174 (25%) Early learners Foundational concepts, visual programming
3-5 174 (25%) Elementary Basic programming, digital citizenship
6-8 174 (25%) Middle school Intermediate programming, system thinking
9-12 174 (25%) High school Advanced concepts, career preparation

🎯 Use Cases and Applications

Educational Applications

Curriculum Development

  • Scope & Sequence Planning: Multi-year CS education pathways
  • Lesson Plan Generation: Age-appropriate activities for any CS topic
  • Assessment Creation: Comprehensive evaluation frameworks
  • Standards Alignment: Ensure curriculum meets national/state requirements

Teacher Professional Development

  • Training Programs: Structured learning paths for CS educators
  • Resource Planning: Hardware and software requirement planning
  • Best Practices: Evidence-based teaching strategies

Student Learning

  • Personalized Pathways: Adaptive learning based on student progress
  • Skill Assessment: Computational thinking evaluation tools
  • Portfolio Development: Project-based learning documentation

Research Applications

Educational Research

  • Learning Analytics: Analyze patterns in CS skill development
  • Curriculum Effectiveness: Evaluate different teaching approaches
  • Equity Studies: Research access and participation in CS education

AI/ML Applications

  • Content Generation: Train models to create educational materials
  • Assessment Automation: Develop automated evaluation tools
  • Recommendation Systems: Personalized learning recommendations
  • Natural Language Processing: Educational content analysis

Industry Applications

Workforce Development

  • Skills Gap Analysis: Identify industry training needs
  • Pipeline Planning: K-12 to career pathway development
  • Corporate Training: Employee upskilling programs

Product Development

  • EdTech Tools: Educational software and platform development
  • Assessment Platforms: Computational thinking evaluation systems
  • Learning Management: Curriculum management and tracking

🌍 Real-World Connections

Industry Alignment

Each standard connects to real-world applications and career pathways:

AI/Machine Learning

  • Applications: Netflix recommendations, autonomous vehicles, medical diagnosis
  • Careers: AI Engineer, Data Scientist, Machine Learning Researcher
  • Industry Growth: 22% projected growth through 2030

Cybersecurity

  • Critical Need: 600,000+ unfilled cybersecurity positions nationwide
  • Applications: Network security, threat detection, digital forensics
  • Careers: Security Analyst, Ethical Hacker, CISO

Data Science

  • Applications: Business analytics, scientific research, social media insights
  • Careers: Data Analyst, Business Intelligence, Research Scientist
  • Cross-Industry: Applicable in healthcare, finance, marketing, sports

Robotics

  • Applications: Manufacturing automation, healthcare assistance, space exploration
  • Careers: Robotics Engineer, Automation Specialist, AI Researcher
  • Emerging Areas: Service robots, collaborative robots, autonomous systems

Social Impact

Digital Equity

  • Inclusive Design: Standards emphasize accessibility and inclusion
  • Diverse Representation: Materials reflect diverse backgrounds and perspectives
  • Universal Access: Learning objectives designed for all students

Ethical Computing

  • AI Ethics: Age-appropriate discussions of bias, fairness, transparency
  • Digital Citizenship: Responsible technology use and online behavior
  • Privacy Awareness: Data protection and personal information security

📊 Data Quality and Validation

Source Validation

  • Authoritative Sources: Based on CSTA and ISTE official frameworks
  • Expert Review: Aligned with industry best practices
  • Educational Research: Grounded in learning science principles

Quality Metrics

  • Completeness: Comprehensive coverage across all grade levels
  • Consistency: Uniform structure and terminology
  • Accuracy: Technically accurate and pedagogically sound
  • Relevance: Current with 2024 industry needs and practices

Bias Considerations

  • Geographic: Based primarily on US educational standards
  • Cultural: May require adaptation for international contexts
  • Technological: Reflects current technology landscape (subject to change)
  • Economic: Assumes access to educational technology resources

🔄 Data Splits and Usage

Recommended Usage

Training Split (556 examples, 80%)

  • Model Training: Educational AI development
  • Curriculum Development: Standards-based course creation
  • Research Analysis: Pattern identification and trend analysis

Test Split (140 examples, 20%)

  • Model Evaluation: Performance assessment
  • Validation: Quality assurance for educational tools
  • Benchmarking: Comparison across different approaches

Reproducibility

  • Random State: 42 (ensures consistent splits)
  • Stratified Sampling: Maintains grade-level distribution
  • Version Control: Tracked changes and updates

🚀 Getting Started

Quick Start 

from datasets import load_dataset

# Load the complete dataset
dataset = load_dataset("robworks-software/k12-computer-science-comprehensive")

# Access training data
train_data = dataset["train"]
test_data = dataset["test"]

print(f"Training examples: {len(train_data)}")
print(f"Test examples: {len(test_data)}")
print(f"Features: {list(train_data.features.keys())}")

Filtering Examples 

# Filter by grade level
elementary = train_data.filter(
    lambda x: "K-2" in x["grade_level"] or "3-5" in x["grade_level"]
)

# Filter by subject area
ai_standards = train_data.filter(
    lambda x: x["concept"] == "Artificial Intelligence"
)

cybersecurity_standards = train_data.filter(
    lambda x: x["concept"] == "Cybersecurity"
)

programming_standards = train_data.filter(
    lambda x: x["programming_language"] != ""
)

Analysis Examples 

import pandas as pd
from collections import Counter

# Convert to pandas for analysis
df = train_data.to_pandas()

# Grade level distribution
grade_distribution = Counter(df["grade_level"])
print("Grade Level Distribution:", grade_distribution)

# Concept area breakdown
concept_distribution = Counter(df["concept"])
print("Concept Distribution:", concept_distribution)

# Cognitive level analysis
cognitive_distribution = Counter(df["cognitive_level"])
print("Cognitive Level Distribution:", cognitive_distribution)

# Programming language progression
prog_langs = df[df["programming_language"] != ""]["programming_language"]
print("Programming Languages:", Counter(prog_langs))

📄 Licensing and Attribution

License

This dataset is released under CC0 1.0 Universal (Public Domain Dedication).

You are free to:

  • Use the dataset for any purpose
  • Modify and adapt the content
  • Distribute copies and adaptations
  • Use commercially without restrictions

Attribution

While not required by the CC0 license, attribution is appreciated:

K-12 Computer Science Comprehensive Standards Dataset
Compiled by Ryan Robson, Robworks Software
Available at: https://huggingface.co/datasets/robworks-software/k12-computer-science-comprehensive

Source Attribution

This dataset aggregates and structures content from:

  • Computer Science Teachers Association (CSTA) - K-12 CS Standards 2017
  • International Society for Technology in Education (ISTE) - CT Competencies 2024
  • Various State Education Departments - Implementation guidelines
  • Industry Best Practices - Real-world applications and tools

📞 Contact and Support

Author Information

Repository

Support

For questions, issues, or collaboration opportunities:

  • Technical Support: [email protected]
  • Research Collaboration: Contact via website or email
  • Educational Partnerships: Open to working with schools and districts

📚 Citation

If you use this dataset in your research or applications, please cite:

@dataset{robson2024k12cs,
  title={K-12 Computer Science Comprehensive Standards Dataset},
  author={Robson, Ryan},
  organization={Robworks Software},
  year={2024},
  publisher={HuggingFace},
  version={1.0.0},
  url={https://huggingface.co/datasets/robworks-software/k12-computer-science-comprehensive},
  note={Aggregated from CSTA 2017 and ISTE 2024 frameworks}
}

🤝 Contributing and Feedback

How to Contribute

While this dataset represents a comprehensive aggregation of existing standards, we welcome:

  • Error Reports: Corrections to technical inaccuracies
  • Enhancement Suggestions: Additional metadata or features
  • Application Examples: Use cases and implementations
  • Research Collaborations: Academic and industry partnerships

Roadmap

Potential future enhancements:

  • International Standards: Integration of non-US CS education frameworks
  • Assessment Rubrics: Detailed evaluation criteria for each standard
  • Learning Resources: Links to specific educational materials and tools
  • Career Pathways: Enhanced industry connection mapping
  • Multilingual Support: Translations for global accessibility

Community

Join the growing community of educators, researchers, and developers using this dataset:

  • Share your use cases and applications
  • Collaborate on educational tool development
  • Contribute to K-12 CS education research
  • Connect with others in the field

🌟 Impact Statement

This dataset represents a significant step forward in democratizing access to high-quality, standards-aligned computer science education resources. By providing a comprehensive, structured collection of K-12 CS learning objectives spanning traditional and emerging technology areas, we aim to:

  • Accelerate curriculum development and educational tool creation
  • Support teacher professional development and training
  • Enable research into effective CS education practices
  • Bridge the gap between education and industry workforce needs
  • Promote equity and inclusion in computer science education

Together, we can ensure that all students have access to world-class computer science education that prepares them for success in our increasingly digital world.

🌟 Star this dataset if it's useful for your work! 🔗 Share with educators and researchers in your network! 📧 Contact us for collaboration opportunities!

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