AI in the Classroom: A Practical Teacher’s Manual presents a human-led approach to artificial intelligence in education. The book shows how teachers can use AI to support planning, preparation, instructional design, reflection, and the creation of teacher-reviewed learning resources—and to co-create ideas, materials, and learning experiences with AI without replacing professional judgment or student thinking.

At the center of the book is a simple principle: AI should support and extend learning without doing the learning for the student. The author emphasizes discussion, verbal explanation, debate, revision, co-creation, and productive struggle as essential parts of authentic learning. In an era when AI can generate polished work instantly, students must still be able to explain their ideas, defend their reasoning, and demonstrate genuine understanding.

The book also introduces the WISSAM model—Whole-language Instruction Supported by Standards, AI, and Metrics—a framework for using evidence, standards, and teacher-reviewed AI support to identify skill needs and plan more targeted instruction.

Ultimately, AI in the Classroom argues that the best use of AI is not simply automation, but collaboration: helping teachers think, design, create, and refine more effectively while keeping teaching and learning fundamentally human.

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    • 1.1.1 Introduction: Why Educators Need an AI Playbook for the Classroom

    • 1.1.2 Transforming Teaching with ChatGPT: Practical Benefits for Student Learning

    • 1.1.3 Practical Everyday Classroom Tasks Supported by AI Tools

    • 1.2.1 How AI is Redefining Writing Instruction

    • 1.2.2 Adapting Writing Instruction to the Realities of AI

    • 1.2.3 From Spoken Ideas to Polished Essays: Rethinking the Writing Process

    • 1.2.4 Supporting Reluctant Writers Through AI-Enhanced Dialogue

    • 1.2.5 The Power of Dialogue-First Writing Instruction

    • 1.3.1 A New Paradigm for Assessment: Verbal Communication and Immediate Feedback

    • 1.3.2 How AI Supports Richer Classroom Discussions and Reflection

    • 1.4.1 From Passive Reading to Interactive Engagement: Literacy in the AI Era

    • 1.4.2 The Importance of Dynamic Reading Experiences

    • 1.4.3 Personalizing Literacy: Creating Interactive Narratives with AI

    • 1.4.4 Bringing Stories to Life Using DALL-E: Visual Literacy in the Classroom

    • 1.4.5 Making Literacy Instruction Accessible for All Students with AI Tools

    • 1.5.1 Conclusion

    • 2.1.1 Introduction: Getting Started with ChatGPT

    • 2.1.2 How to Log In and Set Up Your ChatGPT Account

    • 2.2.1 Key Principles for Writing Effective ChatGPT Prompts

    • 2.2.2 A Detailed, Step-by-Step Method for Crafting Clear and Precise Prompts

    • 2.2.3 Using Meta Prompts to Control ChatGPT’s Style, Format, and Depth

    • 2.2.4 Leveraging ChatGPT’s Prompt-Generating Capabilities for Optimal Results

    • 2.3.1 Why Uploading Documents and Images Increases ChatGPT’s Response Accuracy

    • 2.3.2 How to Upload and Reference Documents for Improved ChatGPT Responses

    • 2.3.3 How to Upload and Reference Images for Enhanced ChatGPT Accuracy

    • 2.3.4 Reducing AI Hallucinations and Errors through Uploaded Reference Materials

    • 2.4.1 Recognizing and Addressing 23 Common ChatGPT Output Errors

    • 2.4.2 Conclusion

    • 3.1.1 Introduction: Leveraging Standards, AI, and Data

    • 3.2.1 Inside the WISSAM Model: Integrating Standards, AI, and Whole-Language Instruction

    • 3.2.2 The Value of the WISSAM Approach

    • 3.2.3 Five Reasons to Adopt AI-Supported, Data-Driven Instruction

    • 3.3.1 The WISSAM Model Explained: How AI and Data Guide Instruction

    • 3.3.2 Step 1: Gathering and Organizing Data to Inform AI-Enhanced Instruction

    • 3.3.3 Step 2: Analyzing Standardized Assessment Reports to Pinpoint Student Skill Gaps

    • 3.3.4 Step 3: Targeting Individual Literacy Skill Needs Based on Assessment Reports

    • 3.3.5 Step 4: Creating AI-Enhanced Instructional Resources to Address Student Skill Gaps

    • 3.3.6 Step 5: How to Prompt ChatGPT for Detailed Literacy Skill Explanations

    • 3.3.7 Step 6: Structuring High-Quality, AI-Enhanced Mini-Lessons Based on Literacy Data

    • 3.3.8 Step 7: Creating a Centralized Instructional Skills Library

    • 3.3.9 Step 8: Cross-Referencing Lessons with Student Management Needs

    • 3.3.10 Step 9: Adjusting Text Complexity and Accessibility

    • 3.3.11 Streamlining Text Adaptation: 32 Effective ChatGPT Prompts

    • 3.3.12 Step 10: Enhancing Teaching Quality with Digital Transcription and AI Analysis

    • 3.4.1 Collecting and Leveraging Local Classroom Data for Instruction

    • 3.4.2 Step-by-Step Guide for Turning Local Data into Targeted Instruction

    • 3.4.3 Transforming Student Essays into Instructional Data with ChatGPT

    • 3.4.4 Sample AI Analysis: Identifying Common Student Writing Issues and Solutions

    • 3.4.5 Conclusion

    • 4.1.1 Introduction: Transforming Student Data into Strategic Instructional Practices

    • 4.1.2 Step 1: Using Data-Driven Insights to Structure a Literary Unit (Animal Farm)

    • 4.1.3 Step 2: Strategically Aligning Literary Texts to Identified Skill Gaps

    • 4.1.4 Step 3: Structuring a Curriculum Unit Around Skill Mastery Goals

    • 4.1.5 Step 4: Creating Differentiated Texts to Address Skill Deficiencies

    • 4.1.6 Step 5: Developing Activities to Scaffold Targeted Skill Development

    • 4.1.7 Step 6: Developing Innovative, Personalized Lessons Aligned with Data

    • 4.1.8 Step 7: Using Ongoing Formative Assessments for Real-Time Instructional Refinement

    • 4.1.9 Step 8: Reflective Instructional Practice: Adjusting Lessons to Student Needs

    • 4.2.1 Conclusion

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    • 5.1.1 Introduction: Individualizing Instruction with AI

    • 5.2.1 Using AI to Identify Student Accommodation Needs

    • 5.2.2 How to Use Your Quick-Reference Accommodations Spreadsheet

    • 5.2.3 The Impact of Easy-to-Use Accommodation Guides

    • 5.3.1 Data-Driven Personalization: Using AI to Suggest Personalized Accommodations

    • 5.3.2 Creating and Utilizing Quick-Reference Student Snapshot Charts for Instruction

    • 5.3.3 How to Build Clear Student Snapshot Tables

    • 5.3.4 Integrating Snapshot Charts into Lesson Planning

    • 5.4.1 Conclusion

    • 6.1.1 Introduction

    • 6.2.1 Step-by-Step Guide to Drafting IEPs Using ChatGPT

    • 6.2.2 Using GPT Daily in Special Education

    • 6.3.1 Conducting IEP Compliance Reviews with GPT

    • 6.3.2 Making IEP Compliance Reviews Easy with GPT

    • 6.3.3 Step-by-Step Guide: How to Set Up GPT for IEP Reviews

    ·         6.3.4 Example: A Complete GPT Compliance Review

    ·         6.3.5 Conclusion

    • 7.1.1 Introduction: Practical Uses of AI-Powered Digital Transcription in Education

    • 7.1.2 Key Reasons to Use Digital Transcription

    • 7.2.1 Real Examples of Classroom Transcripts

    • 7.3.1 Am I a Good Teacher? How to Use Digital Transcription and AI Analysis for Teacher Self-Assessment

    • 7.3.2 Teacher Self-Assessment Prompt Using Transcript

    • 7.3.3 Real-World AI Teaching Evaluation Example

    • 7.3.4 Acting on AI Feedback to Improve Teaching

    • 7.4.1 Innovative Ways to Use Digital Transcription

    • 7.5.1 My Practical Uses of Digital Transcribers and AI in my ICT Classrooms

    • 7.5.2 Conclusion

    • 8.1.1 Introduction: Creating Effective Assessments with ChatGPT

    • 8.1.2 Generating Quizzes, Tests, and Rubrics with ChatGPT

    • 8.1.3 Practical ChatGPT Prompts for Assessments

    • 8.2.1 Individualized Assessments

    • 8.2.2 Step-by-Step Guide to Personalizing Assessments

    • 8.2.3 Simplified Master Prompt for Personalized Assessments

    • 8.2.4 Tips for Personalized Assessments

    • 8.3.1 Conclusion

    • 9.1.1 Introduction: From Grading Stress to Meaningful Feedback with ChatGPT

    • 9.1.2 Blending Human and AI Feedback

    • 9.1.3 Human and AI Feedback: Pros and Cons

    • 9.2.1 Quick Prompts for Creating Rubrics

    • 9.3.1 Three Prompts for Argumentative Essay Feedback

    • 9.3.2 Going Deeper: Detailed Evaluation for Argumentative Essays

    • 9.3.3 How to Precisely Evaluate Complex Arguments

    • 9.4.1 Systematic Assessment of Creative and Reflective Essays

    • 9.4.2 Master Prompt: Comprehensive Personal & Creative Essay Evaluation

    • 9.4.3 Poetry and Literary Craft: Evaluating Mastery of Literary Devices

    • 9.4.4 Master Multi-Step Prompt for Comprehensive Literary Device Analysis (ChatGPT)

    • 9.5.1 How to Evaluate Social Studies Writing Effectively

    • 9.5.2 Feedback for History Essays: A Structured Method

    • 9.5.3 Master Prompt: Comprehensive Social Studies Long Essay Evaluation

    • 9.5.4 Beyond History: Integrating Critical Literacy Skills

    • 9.5.5 Master Prompt: Comprehensive Literacy Skill Integration Evaluation

    • 9.6.1 Sentence-Level Evaluations and Feedback: Measuring Writing Growth

    • 9.6.2 Effective Sentence-by-Sentence Evaluation Method

    • 9.6.3 Revised Draft Comparisons: Clearly Tracking an Individual Student’s Writing Progress Over Time

    • 9.6.4 Conclusion

  • ·         10.1.1 Introduction: AI and Academic Dishonesty

    ·         10.1.2 Redefining Cheating: Why Students Really Cheat

    ·         10.1.3 Structural Solutions: Addressing the Real Causes of Cheating

    ·         10.1.4 Practical Strategies to Ensure Curriculum Accessibility

    ·         10.2.1 Recognizing AI Misuse by Students

    ·         10.2.2 How Students Use ChatGPT to Cheat: 20 Common Methods

    ·         10.3.1 Detecting AI Cheating

    ·         10.4.1 Establishing Boundaries, Policies, and Best Practices for AI Use

    ·         10.4.2 Conclusion