Datasets:

robworks-software
/

k12-computer-science-comprehensive

standard_id stringlengths 17 64	grade_level stringclasses 4 values	concept stringclasses 10 values	subconcept stringclasses 83 values	learning_objective stringlengths 36 100	computational_practices listlengths 0 4	programming_language stringclasses 15 values	assessment_type stringclasses 4 values	cognitive_level stringclasses 4 values
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:

Computing Systems - Hardware/software interactions, troubleshooting
Networks and the Internet - Communication, cybersecurity, protocols
Data and Analysis - Collection, organization, visualization, modeling
Algorithms and Programming - Computational thinking, code development
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

Name: Ryan Robson
Company: Robworks Software
Website: robworks.info
Email: support@robworks.info

Repository

Dataset Repository: HuggingFace Dataset
Source Code: Available upon request

Support

For questions, issues, or collaboration opportunities:

Technical Support: support@robworks.info
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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