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Master prompt engineering strategies that transform your teaching - explained in clear, practical terms.

Stay informed about AI developments that matter to educators, curated and explained without the tech jargon.

Learn how to prepare students for an AI-powered world - from ethical use to future-ready skills.

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Master the human-AI partnership—and then teach students to do the same.

Learn how to collaborate with AI to enhance critical thinking, foster creativity, and achieve outcomes beyond what either humans or AI could accomplish alone—all so that you can teach students the skills needed to thrive in an AI-enhanced world.

The art and science of prompt engineering, so you can elicit high-quality outputs from AI

A curriculum guide for courses on AI and prompt engineering

A step-by-step playbook for integrating AI into the existing educational infrastructure

Cultivating the prerequisite skills and mindsets students need to partner with AI successfully

What's inside?

Introduction

  • About this book

  • How I learned about and use AI

  • How I used AI to write this book

Chapter 1: How We Got Here

  • A brief history of AI, part 1

  • Side notes: AGI, symbolic AI, and machine learning

  • A brief history of AI, part 2

  • Artificial intelligence is not a "thing"

  • Why the skeptics are right

Chapter 2: Understanding Large Language Models

  • What LLMs are trained to do

  • Model vs. Application

  • Some technical extras

  • Internet access can be bittersweet

  • Why LLMs are bad at math

  • Hallucinations (and why we should like them)

Chapter 3: Becoming Fluent in AI

  • Partnership

  • You're in charge

  • Two common pitfalls

  • Time is not money

Chapter 4: A Guide to Prompt Engineering

  • Fundamentals

  • Basic Prompting

    • Direct prompts

    • Conditional prompting

    • Context

    • Role-playing

    • Examples

    • The RICE framework

  • Advanced Prompting

    • Reiteration

    • Chain-of-Thought

    • Delimiters

    • In-Context prompting

    • Prompt chaining

  • AI-Assisted Prompting

    • Seeking clarification

    • Self-Rating

    • Flipped interaction

    • Meta-Prompting

  • Prompt like a chef

Chapter 5: Imagining a Class on Prompt Engineering

  • Learning Goals

  • Enduring Understandings and Essential Questions

  • Assessments

  • Learning Plan

  • Additional Project Ideas

Chapter 6: Seven Steps for Integrating AI into Education

  • First, recognize that AI requires a different approach

  • Second, learn by doing

  • Third, ask questions (but don't rush the answers)

  • Fourth, prioritize being good at your "job"

  • Fifth, identify expertise benchmarks

  • Sixth, create a structured and versatile framework

  • Seventh, engage in transparent communication

Conclusion: The Surprising Way to Rule the AI-Infused World

  • The future does not belong to the technologist

© 2024 Aaron S. Langenauer. All rights reserved.

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