Procurement & curriculum committees
Standards alignment map
Every authored Lumen lesson is tagged to AI4K12 / CSTA-oriented codes and college learning outcomes. Use this page in adoption reviews.
Perception
- Sensors Are Not Senses · AI Builders · Sensors and Perception
Humans set goals; AI executes patterns
- Spec Before Prompt · AI Investigators · AI as a Work Tool
Perception systems
- Vision Datasets & Ethics · AI Foundations · Specialization Pathways
- Prompt Systems, Not Spells · AI Foundations · Operator Skills
Perception — sensors around us
- AI Around Me · AI Explorers · What Is AI?
Representation & reasoning
- What Is a Model? · AI Builders · Models and Data
Representation & reasoning
- Representation Matters · AI Foundations · Intelligence, Representation & Reasoning
- NLP: Tokens & Evaluation · AI Foundations · Specialization Pathways
- Catching Confident Nonsense · AI Foundations · Operator Skills
Representation & reasoning
- Rules for Decisions · AI Explorers · What Is AI?
Learning from data
- Examples and Non-Examples · AI Builders · Models and Data
Learning
- Questions AI Can (and Cannot) Answer · AI Investigators · The Machine Learning Pipeline
Learning — neural networks
- Neural Nets & Overfitting · AI Foundations · Specialization Pathways
- Thresholds & Tradeoffs · AI Foundations · Operator Skills
Natural interaction
- Defining AI Without the Hype · AI Foundations · Intelligence, Representation & Reasoning
Societal impact
- When Data Misleads · AI Builders · Models and Data
Societal impact
- Bias in the Pipeline · AI Investigators · The Machine Learning Pipeline
- Verify or It Didn’t Happen · AI Investigators · AI as a Work Tool
- Privacy Is Part of the Skill · AI Investigators · AI as a Work Tool
- Attention, Feeds & Your Agency · AI Investigators · AI as a Work Tool
Societal impact — governance
- Privacy, Power & Policy · AI Foundations · Operator Skills
Societal impact — AI in daily life
- People and Computers · AI Explorers · What Is AI?
- Help or Leave Out? · AI Explorers · Fair Helpers
- Ask Before You Share · AI Explorers · Fair Helpers
Learning paradigms & risk
- Problem Types and Risk · College AI Literacy & Technical Core · Foundations & Evaluation
- Organizational Prompt Systems · College AI Literacy & Technical Core · Professional AI Practice
- What FDEs Actually Do · FDE Field Engineer · The FDE Mandate
Experimental design for ML
- Validation Design · College AI Literacy & Technical Core · Foundations & Evaluation
- Evals That Matter · College AI Literacy & Technical Core · Professional AI Practice
Responsible AI documentation
- Responsible Deployment & Model Cards · College AI Literacy & Technical Core · Foundations & Evaluation
Generative systems literacy
- How Generative AI Works (Systems View) · AI Foundations · Generative AI Literacy
Applied responsible AI project
- Domain Capstone: Audit + Prototype · College AI Literacy & Technical Core · Technical Track
- Go / No-Go Decision Memo · College AI Literacy & Technical Core · Professional AI Practice
- Capstone: Operator Portfolio · College AI Literacy & Technical Core · Professional AI Practice
Responsible AI practice
- Safety Rails That Survive Contact · FDE Field Engineer · Claude Platform Fluency
Organizational ethics of AI
- Stakeholders, Trust, and the Room · FDE Field Engineer · The FDE Mandate
Supervised learning foundations
- Loss, Gradients & Regularization · College AI Literacy & Technical Core · Technical Track
Evaluation methodology
- Evaluation Harness Studio · College AI Literacy & Technical Core · Technical Track
- Evals That Matter · College AI Literacy & Technical Core · Professional AI Practice
- Evals That Gate Ship · FDE Field Engineer · Evals, Reliability & Ship
Responsible AI documentation
- Capstone: Public AI System Audit · AI Foundations · Specialization Pathways
- Capstone: Personal AI Playbook · AI Foundations · Operator Skills
- Evaluation Harness Studio · College AI Literacy & Technical Core · Technical Track
- Go / No-Go Decision Memo · College AI Literacy & Technical Core · Professional AI Practice
Fairness in AI decisions
- When Data Misleads · AI Builders · Models and Data
- Kid Model Card · AI Builders · Design for People
Ethical creation process
- Who Is Affected? · AI Builders · Design for People
Mitigating bias
- Bias in the Pipeline · AI Investigators · The Machine Learning Pipeline
- Evaluate and Document · AI Investigators · Build With Ethics
Ethical creation of AI systems
- Project Spec & Guardrails · AI Investigators · Build With Ethics
Dataset ethics
- Vision Datasets & Ethics · AI Foundations · Specialization Pathways
- Thresholds & Tradeoffs · AI Foundations · Operator Skills
- Responsible Deployment & Model Cards · College AI Literacy & Technical Core · Foundations & Evaluation
System critique and documentation
- Capstone: Public AI System Audit · AI Foundations · Specialization Pathways
- Capstone: Personal AI Playbook · AI Foundations · Operator Skills
Fairness in helpers
- Help or Leave Out? · AI Explorers · Fair Helpers
- Be Kind With Tools · AI Explorers · Fair Helpers
Choice to use AI
- Helpful or Not? · AI Builders · Sensors and Perception
Human-AI collaboration — task definition
- Spec Before Prompt · AI Investigators · AI as a Work Tool
- Verify or It Didn’t Happen · AI Investigators · AI as a Work Tool
Nature of humans and AI
- Defining AI Without the Hype · AI Foundations · Intelligence, Representation & Reasoning
- Prompt Systems, Not Spells · AI Foundations · Operator Skills
- Catching Confident Nonsense · AI Foundations · Operator Skills
Human-AI teaming at scale
- Organizational Prompt Systems · College AI Literacy & Technical Core · Professional AI Practice
Nature of humans vs AI
- People and Computers · AI Explorers · What Is AI?
How computers learn from data
- Examples and Non-Examples · AI Builders · Models and Data
Sensing
- Sensors Are Not Senses · AI Builders · Sensors and Perception
Building and using AI models
- Questions AI Can (and Cannot) Answer · AI Investigators · The Machine Learning Pipeline
Evaluate models
- Train, Test, and Confusion · AI Investigators · The Machine Learning Pipeline
Select algorithms for classification
- Classical ML Intuitions · AI Foundations · Intelligence, Representation & Reasoning
- Neural Nets & Overfitting · AI Foundations · Specialization Pathways
Modern AI systems
- How Generative AI Works (Systems View) · AI Foundations · Generative AI Literacy
Extended ML evaluation
- Problem Types and Risk · College AI Literacy & Technical Core · Foundations & Evaluation
Understanding representation
- What Is a Model? · AI Builders · Models and Data
Recommenders in daily life
- How Recommenders Work · AI Investigators · Recommenders & Attention
Representations in AI models
- Representation Matters · AI Foundations · Intelligence, Representation & Reasoning
- NLP: Tokens & Evaluation · AI Foundations · Specialization Pathways
Reasoning with binary choices
- Rules for Decisions · AI Explorers · What Is AI?
Human agency tradeoffs
- Agency, Privacy, and Tradeoffs · AI Investigators · Recommenders & Attention
- Privacy Is Part of the Skill · AI Investigators · AI as a Work Tool
- Attention, Feeds & Your Agency · AI Investigators · AI as a Work Tool
Societal impacts including deepfakes
- Integrity, Deepfakes, and Civic Life · AI Foundations · Generative AI Literacy
- Privacy, Power & Policy · AI Foundations · Operator Skills
Individual impacts — AI in daily life
- AI Around Me · AI Explorers · What Is AI?
- Ask Before You Share · AI Explorers · Fair Helpers
Agent vs single-call decisioning
- When to Agent-ify (and When Not) · FDE Field Engineer · Agents & Orchestration
Escalation gates & sub-agents
- Escalation Gates & Sub-agents · FDE Field Engineer · Agents & Orchestration
Orchestration policy communication
- Orchestration Drill · FDE Field Engineer · Agents & Orchestration
Integrated FDE portfolio engagement
- Capstone: FDE Portfolio Engagement · FDE Field Engineer · Evals, Reliability & Ship
Eval harnesses & release gates
- Evals That Gate Ship · FDE Field Engineer · Evals, Reliability & Ship
MCP purpose & portability
- Why MCP Exists · FDE Field Engineer · MCP & Integration Surfaces
Tools, resources, auth design
- Tools, Resources, Auth · FDE Field Engineer · MCP & Integration Surfaces
Integration design review
- Integration Studio · FDE Field Engineer · MCP & Integration Surfaces
Prompt systems & behavior policy
- Prompts as Systems · FDE Field Engineer · Claude Platform Fluency
Tool use & structured outputs
- Tools & Structured Outputs · FDE Field Engineer · Claude Platform Fluency
Cost-aware context & caching
- Context, Cost, and Caching · FDE Field Engineer · Claude Platform Fluency
Failure modes & observability
- Failure Modes & Observability · FDE Field Engineer · Evals, Reliability & Ship
FDE role & value creation
- What FDEs Actually Do · FDE Field Engineer · The FDE Mandate
Operational safety & fail-closed design
- Safety Rails That Survive Contact · FDE Field Engineer · Claude Platform Fluency
Pilot scoping under ambiguity
- Ambiguity → Scope · FDE Field Engineer · The FDE Mandate
Deploy & multi-tenant judgment
- Deploy Judgment & Multi-tenancy · FDE Field Engineer · Evals, Reliability & Ship
Stakeholder trust & risk communication
- Stakeholders, Trust, and the Room · FDE Field Engineer · The FDE Mandate