Chapter 1 - Teacher Workload and the Hope of AI Support
1.1 The Reality of Teacher Workload and Burnout
1.2 What Generative AI Can and Can’t Do Well
1.3 AI as a Support Tool, Not a Replacement
1.4 Setting Realistic Expectations for Time Savings
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Chapter 2 - Responsible AI Use: Ethics, Privacy, and Professional Duty
2.1 Why Ethics and Privacy Must Come First
2.2 Understanding Student Data and Digital Footprints
2.3 Anonymization and Data Minimization Strategies
2.4 Bias, Equity, and Accessibility
2.5 The Importance of Transparency
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Chapter 3 - Generative AI Basics for Educators
3.1 What Is Generative AI?
3.2 How AI Generates Responses
3.3 Prompting as a Professional Skill
3.4 Where Generative AI Commonly Fails
3.5 Verifying and Refining AI Output
3.6 Choosing Appropriate Tools
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Chapter 4 - Streamlining Unit Planning with Generative AI
4.1 Starting from Standards and Learning Objectives
4.2 Using AI to Brainstorm Unit Themes and Big Ideas
4.3 Adapting Units for Different Grade Levels or Time Frames
4.4 Revising and Improving Existing Units
4.5 Maintaining Teacher Voice and Professional Judgment
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Chapter 5 - Using AI to Produce Classroom-Ready Content
5.1 Generating Worksheets, Handouts, and Practice Activities
5.2 Creating Slide Decks and Instructional Materials
5.3 Producing Exemplars and Model Responses
5.4 Generating Reading Passages and Scenarios
5.5 Copyright, Attribution, and Content Ownership
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Case Study - Using Targeted Prompting to Address Student Misconceptions
Chapter 6 - Creating Assessments and Rubrics Faster with AI
6.1 Turning Learning Objectives into Assessments
6.2 Designing Quizzes, Tests, and Performance Tasks
6.3 Creating Clear, Student-Friendly Rubrics
6.4 Adapting Assessments for Diverse Learners
6.5 Reviewing AI-Generated Assessments
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Chapter 7 - Supporting Feedback and Grading with Generative AI
7.1 Supporting Consistency and Fairness in Grading
7.2 Feedback: Time-Consuming but Essential
7.3 Creating Comment Banks with AI
7.4 Academic Integrity and AI-Aware Grading Practices
7.5 What Feedback Decisions Must Remain Human
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Case Study - Using a Comment Bank to Streamline Feedback
Chapter 8 - Using AI to Support Diverse Learners
8.1 Expanding Instructional Options with AI
8.2 Accommodations and Accessibility Supports
8.3 Creating Leveled Texts and Scaffolded Activities
8.4 Supporting English Language Learners (ELLs)
8.5 Enrichment and Extension Activities
8.6 Ethical Boundaries in Personalized Learning
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Chapter 9 - Reducing Non-Instructional Administrative Tasks
9.1 Identifying High-Time, Low-Judgment Tasks
9.2 Drafting Professional Emails and Communications
9.3 Writing Reports, Summaries, and Documentation
9.4 Scheduling, Planning, and Organizational Support
9.5 Maintaining Professional Tone and Accountability
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Chapter 10 - Making AI a Reliable, Ethical Part of Teaching Practice
10.1 Creating Sustainable AI Workflows Through Prompt Reuse
10.2 Documenting and Disclosing AI Use
10.3 Establishing Classroom Norms for AI
10.4 Staying Current with AI Policy and Tools
10.5 Long-Term Sustainability
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