LLumen

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.

Frameworks referenced: AI4K12 Five Big Ideas, CSTA & AI4K12 AI Learning Priorities (2025), and Lumen College AI Literacy outcomes. Codes are curriculum tags for navigation — districts should still crosswalk to local CS/digital literacy standards.
AI4K12BI1.35

Perception

  • Sensors Are Not Senses · AI Builders · Sensors and Perception
AI4K12BI1.68

Humans set goals; AI executes patterns

  • Spec Before Prompt · AI Investigators · AI as a Work Tool
AI4K12BI1.912

Perception systems

  • Vision Datasets & Ethics · AI Foundations · Specialization Pathways
  • Prompt Systems, Not Spells · AI Foundations · Operator Skills
AI4K12BI1.K2

Perception — sensors around us

  • AI Around Me · AI Explorers · What Is AI?
AI4K12BI2.35

Representation & reasoning

  • What Is a Model? · AI Builders · Models and Data
AI4K12BI2.912

Representation & reasoning

  • Representation Matters · AI Foundations · Intelligence, Representation & Reasoning
  • NLP: Tokens & Evaluation · AI Foundations · Specialization Pathways
  • Catching Confident Nonsense · AI Foundations · Operator Skills
AI4K12BI2.K2

Representation & reasoning

  • Rules for Decisions · AI Explorers · What Is AI?
AI4K12BI3.35

Learning from data

  • Examples and Non-Examples · AI Builders · Models and Data
AI4K12BI3.68

Learning

  • Questions AI Can (and Cannot) Answer · AI Investigators · The Machine Learning Pipeline
AI4K12BI3.912

Learning — neural networks

  • Neural Nets & Overfitting · AI Foundations · Specialization Pathways
  • Thresholds & Tradeoffs · AI Foundations · Operator Skills
AI4K12BI4.912

Natural interaction

  • Defining AI Without the Hype · AI Foundations · Intelligence, Representation & Reasoning
AI4K12BI5.35

Societal impact

  • When Data Misleads · AI Builders · Models and Data
AI4K12BI5.68

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
AI4K12BI5.912

Societal impact — governance

  • Privacy, Power & Policy · AI Foundations · Operator Skills
AI4K12BI5.K2

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
CollegeAI.CORE.1

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
CollegeAI.CORE.2

Experimental design for ML

  • Validation Design · College AI Literacy & Technical Core · Foundations & Evaluation
  • Evals That Matter · College AI Literacy & Technical Core · Professional AI Practice
CollegeAI.CORE.3

Responsible AI documentation

  • Responsible Deployment & Model Cards · College AI Literacy & Technical Core · Foundations & Evaluation
CollegeAI.LIT.1

Generative systems literacy

  • How Generative AI Works (Systems View) · AI Foundations · Generative AI Literacy
CollegeCAP-1

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
CollegeETH-1

Responsible AI practice

  • Safety Rails That Survive Contact · FDE Field Engineer · Claude Platform Fluency
CollegeETH-2

Organizational ethics of AI

  • Stakeholders, Trust, and the Room · FDE Field Engineer · The FDE Mandate
CollegeML-1

Supervised learning foundations

  • Loss, Gradients & Regularization · College AI Literacy & Technical Core · Technical Track
CollegeML-2

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
CollegeRAI-1

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
CSTAETH.35

Fairness in AI decisions

  • When Data Misleads · AI Builders · Models and Data
  • Kid Model Card · AI Builders · Design for People
CSTAETH.35.C

Ethical creation process

  • Who Is Affected? · AI Builders · Design for People
CSTAETH.68

Mitigating bias

  • Bias in the Pipeline · AI Investigators · The Machine Learning Pipeline
  • Evaluate and Document · AI Investigators · Build With Ethics
CSTAETH.68.C

Ethical creation of AI systems

  • Project Spec & Guardrails · AI Investigators · Build With Ethics
CSTAETH.912

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
CSTAETH.912.C

System critique and documentation

  • Capstone: Public AI System Audit · AI Foundations · Specialization Pathways
  • Capstone: Personal AI Playbook · AI Foundations · Operator Skills
CSTAETH.K2

Fairness in helpers

  • Help or Leave Out? · AI Explorers · Fair Helpers
  • Be Kind With Tools · AI Explorers · Fair Helpers
CSTAHA.35

Choice to use AI

  • Helpful or Not? · AI Builders · Sensors and Perception
CSTAHA.68

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
CSTAHA.912

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
CSTAHA.912+

Human-AI teaming at scale

  • Organizational Prompt Systems · College AI Literacy & Technical Core · Professional AI Practice
CSTAHA.K2

Nature of humans vs AI

  • People and Computers · AI Explorers · What Is AI?
CSTAML.35

How computers learn from data

  • Examples and Non-Examples · AI Builders · Models and Data
CSTAML.35.S

Sensing

  • Sensors Are Not Senses · AI Builders · Sensors and Perception
CSTAML.68

Building and using AI models

  • Questions AI Can (and Cannot) Answer · AI Investigators · The Machine Learning Pipeline
CSTAML.68.E

Evaluate models

  • Train, Test, and Confusion · AI Investigators · The Machine Learning Pipeline
CSTAML.912

Select algorithms for classification

  • Classical ML Intuitions · AI Foundations · Intelligence, Representation & Reasoning
  • Neural Nets & Overfitting · AI Foundations · Specialization Pathways
CSTAML.912.G

Modern AI systems

  • How Generative AI Works (Systems View) · AI Foundations · Generative AI Literacy
CSTAML.912+

Extended ML evaluation

  • Problem Types and Risk · College AI Literacy & Technical Core · Foundations & Evaluation
CSTARR.35

Understanding representation

  • What Is a Model? · AI Builders · Models and Data
CSTARR.68

Recommenders in daily life

  • How Recommenders Work · AI Investigators · Recommenders & Attention
CSTARR.912

Representations in AI models

  • Representation Matters · AI Foundations · Intelligence, Representation & Reasoning
  • NLP: Tokens & Evaluation · AI Foundations · Specialization Pathways
CSTARR.K2

Reasoning with binary choices

  • Rules for Decisions · AI Explorers · What Is AI?
CSTASI.68

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
CSTASI.912

Societal impacts including deepfakes

  • Integrity, Deepfakes, and Civic Life · AI Foundations · Generative AI Literacy
  • Privacy, Power & Policy · AI Foundations · Operator Skills
CSTASI.K2

Individual impacts — AI in daily life

  • AI Around Me · AI Explorers · What Is AI?
  • Ask Before You Share · AI Explorers · Fair Helpers
FDEAGT-1

Agent vs single-call decisioning

  • When to Agent-ify (and When Not) · FDE Field Engineer · Agents & Orchestration
FDEAGT-2

Escalation gates & sub-agents

  • Escalation Gates & Sub-agents · FDE Field Engineer · Agents & Orchestration
FDEAGT-3

Orchestration policy communication

  • Orchestration Drill · FDE Field Engineer · Agents & Orchestration
FDECAP-1

Integrated FDE portfolio engagement

  • Capstone: FDE Portfolio Engagement · FDE Field Engineer · Evals, Reliability & Ship
FDEEVAL-1

Eval harnesses & release gates

  • Evals That Gate Ship · FDE Field Engineer · Evals, Reliability & Ship
FDEMCP-1

MCP purpose & portability

  • Why MCP Exists · FDE Field Engineer · MCP & Integration Surfaces
FDEMCP-2

Tools, resources, auth design

  • Tools, Resources, Auth · FDE Field Engineer · MCP & Integration Surfaces
FDEMCP-3

Integration design review

  • Integration Studio · FDE Field Engineer · MCP & Integration Surfaces
FDEPLAT-1

Prompt systems & behavior policy

  • Prompts as Systems · FDE Field Engineer · Claude Platform Fluency
FDEPLAT-2

Tool use & structured outputs

  • Tools & Structured Outputs · FDE Field Engineer · Claude Platform Fluency
FDEPLAT-3

Cost-aware context & caching

  • Context, Cost, and Caching · FDE Field Engineer · Claude Platform Fluency
FDEREL-1

Failure modes & observability

  • Failure Modes & Observability · FDE Field Engineer · Evals, Reliability & Ship
FDEROLE-1

FDE role & value creation

  • What FDEs Actually Do · FDE Field Engineer · The FDE Mandate
FDESAFE-1

Operational safety & fail-closed design

  • Safety Rails That Survive Contact · FDE Field Engineer · Claude Platform Fluency
FDESCOPE-1

Pilot scoping under ambiguity

  • Ambiguity → Scope · FDE Field Engineer · The FDE Mandate
FDESHIP-1

Deploy & multi-tenant judgment

  • Deploy Judgment & Multi-tenancy · FDE Field Engineer · Evals, Reliability & Ship
FDETRUST-1

Stakeholder trust & risk communication

  • Stakeholders, Trust, and the Room · FDE Field Engineer · The FDE Mandate