Diagram and MicroSim Details

Total Visual Elements: 30 Diagrams: 11 MicroSims: 7

Chapter 1: Ai Foundations

Total elements: 4

AI Concept Hierarchy

• Status: Specified
• Type: Diagram
• Bloom's Taxonomy: Not specified
• UI Elements: 1
• Difficulty: Easy

Anatomy of an AI Agent

• Status: Specified
• Type: Diagram
• Bloom's Taxonomy: Not specified
• UI Elements: 4
• Difficulty: Medium

Neural Network Learning Pathway

• Status: Specified
• Type: Diagram
• Bloom's Taxonomy: Not specified
• UI Elements: 12
• Difficulty: Medium

Public vs. Private Knowledge Boundary

• Status: Specified
• Type: Diagram
• Bloom's Taxonomy: Not specified
• UI Elements: 12
• Difficulty: Medium

Chapter 2: Ai Capability Curve

Total elements: 3

Exponential Growth Explorer

• Status: Specified
• Type: Microsim
• Bloom's Taxonomy: Not specified
• UI Elements: 7
• Difficulty: Hard
• Learning Objective: Understanding (Bloom's) — readers manipulate doubling time and starting value to build intuition for how exponential growth behaves over educational p...

The Adoption vs. Capability Gap

• Status: Specified
• Type: Unknown
• Bloom's Taxonomy: Not specified
• UI Elements: 1
• Difficulty: Easy
• Learning Objective: Analyzing (Bloom's) — readers identify the widening gap between capability and adoption and reason about why deliberate strategic structures are neces...

The METR Task Horizon Timeline

• Status: Specified
• Type: Unknown
• Bloom's Taxonomy: Not specified
• UI Elements: 0
• Difficulty: Easy
• Learning Objective: Analyzing (Bloom's) — readers examine the timeline of AI task-horizon data points to understand the pace and pattern of capability growth....

Chapter 3: Ai Strategy Foundations

Total elements: 3

Build vs. Buy Decision Framework

• Status: Specified
• Type: Unknown
• Bloom's Taxonomy: Not specified
• UI Elements: 0
• Difficulty: Easy
• Learning Objective: Applying (Bloom's) — readers trace a decision path for a specific AI use case through the framework and arrive at a justified recommendation....

Center of Excellence Organizational Structure

• Status: Specified
• Type: Unknown
• Bloom's Taxonomy: Not specified
• UI Elements: 0
• Difficulty: Easy
• Learning Objective: Understanding (Bloom's) — readers identify the role of each CoE function and how it relates to the broader institution....

Stakeholder Alignment Map

• Status: Specified
• Type: Unknown
• Bloom's Taxonomy: Not specified
• UI Elements: 0
• Difficulty: Easy
• Learning Objective: Analyzing (Bloom's) — readers identify each stakeholder group's role in AI strategy adoption, their typical concerns, and the engagement strategies th...

Chapter 4: Genai And Intelligent Textbooks

Total elements: 5

Anatomy of an Intelligent Textbook

• Status: Specified
• Type: Microsim
• Bloom's Taxonomy: Not specified
• UI Elements: 0
• Difficulty: Medium
• Learning Objective: Understanding (Bloom's) — readers identify each component of an intelligent textbook and understand how they work together to personalize learning....

Five Levels of Textbooks Progression

• Status: Specified
• Type: Microsim
• Bloom's Taxonomy: Not specified
• UI Elements: 0
• Difficulty: Medium
• Learning Objective: Knowledge (Bloom's) — readers identify the five levels by name and match each level to its defining capability....

How Retrieval-Augmented Generation Works

• Status: Specified
• Type: Diagram
• Bloom's Taxonomy: Not specified
• UI Elements: 1
• Difficulty: Easy
• Learning Objective: Understanding (Bloom's) — readers trace the flow of a student question through a RAG system and understand why private document grounding matters for ...

Learning Graph Taxonomy Structure

• Status: Specified
• Type: Diagram
• Bloom's Taxonomy: Not specified
• UI Elements: 1
• Difficulty: Easy
• Learning Objective: Comprehension — readers identify the three components of a learning graph (nodes, edges, taxonomy) and explain how taxonomy groups organize concept cl...

Sample Concept Learning Graph — Fractions

• Status: Specified
• Type: Unknown
• Bloom's Taxonomy: Not specified
• UI Elements: 0
• Difficulty: Easy
• Learning Objective: Understanding (Bloom's) — readers trace prerequisite dependencies in a concept graph and explain why topological ordering matters for adaptive content...

Chapter 5: Idea Funnel Gathering

Total elements: 2

Interactive Idea Scoring Rubric

• Status: Specified
• Type: Microsim
• Bloom's Taxonomy: Not specified
• UI Elements: 6
• Difficulty: Medium
• Learning Objective: Applying (Bloom's) — readers apply the five-dimension scoring rubric to a sample idea and calculate a composite score....

The Idea Funnel — Six Stages

• Status: Specified
• Type: Diagram
• Bloom's Taxonomy: Not specified
• UI Elements: 1
• Difficulty: Easy
• Learning Objective: Understanding (Bloom's) — readers trace the path of an idea through all six funnel stages and explain what happens at each gate....

Chapter 6: Selecting Projects

Total elements: 2

AI Program Pipeline Report

• Status: Specified
• Type: Unknown
• Bloom's Taxonomy: Not specified
• UI Elements: 2
• Difficulty: Easy
• Learning Objective: Analyzing (Bloom's) — readers interpret a pipeline report to diagnose where an AI program is healthy and where there are bottlenecks....

Portfolio Balance — The Quick Win / Strategic Bet Matrix

• Status: Specified
• Type: Unknown
• Bloom's Taxonomy: Not specified
• UI Elements: 1
• Difficulty: Medium
• Learning Objective: Evaluating (Bloom's) — readers judge how to position and balance candidate projects across a portfolio matrix....

Chapter 7: Learning Telemetry Xapi

Total elements: 2

The Learning Data Pipeline — From Textbook to Personalized Plan

• Status: Specified
• Type: Diagram
• Bloom's Taxonomy: Not specified
• UI Elements: 0
• Difficulty: Easy
• Learning Objective: Understanding (Bloom's) — readers trace the complete data flow from a student's learning activity through LRS aggregation to a personalized learning p...

The xAPI Statement Structure

• Status: Specified
• Type: Diagram
• Bloom's Taxonomy: Not specified
• UI Elements: 0
• Difficulty: Easy
• Learning Objective: Understanding (Bloom's) — readers identify the required and optional components of an xAPI statement and explain how the Actor-Verb-Object structure e...

Chapter 8: Pedagogical Models

Total elements: 1

Traditional vs. Alpha School Day Structure

• Status: Specified
• Type: Unknown
• Bloom's Taxonomy: Not specified
• UI Elements: 2
• Difficulty: Medium
• Learning Objective: Analyzing (Bloom's) — readers compare time allocation between traditional and Alpha school models and identify which activities shift, disappear, or e...

Chapter 9: Responsible Ai

Total elements: 1

Sources of Algorithmic Bias in Education AI

• Status: Specified
• Type: Diagram
• Bloom's Taxonomy: Not specified
• UI Elements: 0
• Difficulty: Easy
• Learning Objective: Analyzing (Bloom's) — readers trace the pathways through which historical bias enters AI training data and propagates into biased AI decisions, and id...

Chapter 10: Integrity Equity Risk

Total elements: 2

Interactive Risk Register

• Status: Specified
• Type: Microsim
• Bloom's Taxonomy: Not specified
• UI Elements: 4
• Difficulty: Medium
• Learning Objective: Applying (Bloom's) — readers plot institutional AI risks on a risk matrix and identify which require the most urgent mitigation attention....

The Digital Divide in Education AI Access

• Status: Specified
• Type: Unknown
• Bloom's Taxonomy: Not specified
• UI Elements: 2
• Difficulty: Easy
• Learning Objective: Analyzing (Bloom's) — readers identify which dimensions of the digital divide are most significant for AI access and which student populations are mos...

Chapter 11: Governance Policy

Total elements: 2

AI Governance Structure — Hybrid Model

• Status: Specified
• Type: Unknown
• Bloom's Taxonomy: Not specified
• UI Elements: 0
• Difficulty: Easy
• Learning Objective: Understanding (Bloom's) — readers identify the decision-making authorities at each level of a hybrid governance structure and trace how a tool adoptio...

AI Strategy Implementation Roadmap

• Status: Specified
• Type: Unknown
• Bloom's Taxonomy: Not specified
• UI Elements: 1
• Difficulty: Easy
• Learning Objective: Applying (Bloom's) — readers examine a sample roadmap and identify the dependencies, owners, and sequencing logic for a phased AI strategy implementat...

Chapter 12: Agentic Ai Workforce

Total elements: 1

The Institutional Agent Workforce

• Status: Specified
• Type: Diagram
• Bloom's Taxonomy: Not specified
• UI Elements: 0
• Difficulty: Easy
• Learning Objective: Understanding (Bloom's) — readers identify each agent's user group, task type, and human oversight requirements within the institutional agent workfor...

Chapter 13: Strategic Planning

Total elements: 2

Gap Analysis — Current State to Target State

• Status: Specified
• Type: Microsim
• Bloom's Taxonomy: Not specified
• UI Elements: 4
• Difficulty: Medium
• Learning Objective: Evaluating (Bloom's) — readers assess their institution's current capability against AI strategy requirements in each dimension and identify the large...

SWOT Analysis Framework

• Status: Specified
• Type: Microsim
• Bloom's Taxonomy: Not specified
• UI Elements: 6
• Difficulty: Medium
• Learning Objective: Creating (Bloom's) — readers generate a specific SWOT analysis for their own institution using the framework and institutional prompts provided....