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Practical Strategies to Reduce Workload, Save Time, and Support Student Learning
Generative AI for Educators
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Generative AI for Educators
Practical Strategies to Reduce Workload, Save Time, and Support Student Learning
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This book will be shipped on November 27, 2026.
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Are you looking for practical ways to use generative AI to reduce your workload without compromising the quality of your teaching?
Generative AI for Educators: Practical Strategies to Reduce Workload, Save Time, and Support Student Learning is a practical guide for middle school and high school teachers who want to use generative AI responsibly and effectively in the classroom. Written in clear, accessible language, it focuses on classroom-ready strategies that help educators save time while keeping professional judgment at the center of every decision.
You'll discover how generative AI can support lesson and unit planning, classroom materials, assessments, rubrics, feedback, differentiation, communication, and everyday administrative tasks. The book also explores responsible AI use, including student privacy, data protection, bias, accessibility, transparency, and academic integrity.
Inside the book, you'll learn how to:
- Reduce teacher workload by streamlining planning, assessments, feedback, and communication
- Create AI-assisted teaching resources through effective prompting and evaluation
- Protect student privacy and use AI responsibly
- Build sustainable classroom workflows with downloadable templates, checklists, and prompt libraries
Written by veteran educator, curriculum developer, programmer, and author Shawn Peters, the book includes chapter summaries, Food for Thought reflections, Try This! activities, classroom case studies, and downloadable resources to help you confidently apply each concept.
Pages: 301 pages
Paperback (ISBN): 9781636517582
eBook (ISBN): 9781636517605
Hardback (Color): 9781636517599
Category: Business & Economics
Author: Shawn Peters, Vibrant Publishers
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
Chapter Summary
Food for Thought
Try This!
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
Chapter Summary
Food for Thought
Try This!
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
Chapter Summary
Food for Thought
Try This!
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
Chapter Summary
Food for Thought
Try This!
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
Chapter Summary
Food for Thought
Try This!
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
Chapter Summary
Food for Thought
Try This!
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
Chapter Summary
Food for Thought
Try This!
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
Chapter Summary
Food for Thought
Try This!
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
Chapter Summary
Food for Thought
Try This!
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
Chapter Summary
Food for Thought
Try This!
Shawn Peters has 19 years of teaching experience, is certified in Python Programming Teaching from the College of the North Atlantic, and also specializes in JavaScript and Java.
Vibrant Publishersis focused on presenting the best texts for learning about technology and business as well as books for test preparation. Categories include programming, operating systems and other texts focused on IT. In addition, a series of books helps professionals in their own disciplines learn the business skills needed in their professional growth.
Vibrant Publishershas a standardized test preparation series covering the GMAT, GRE and SAT, providing ample study and practice material in a simple and well organized format, helping students get closer to their dream universities.
The Self-Learning Management Series is designed to help students, new managers, career switchers, and entrepreneurs learn essential management lessons and covers every aspect of business, from HR to Finance to Marketing to Operations across any and every industry. Each book includes basic fundamentals, important concepts, and standard and well-known principles as well as practical ways of application of the subject matter.
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