How to Teach AI: Weaving Strategies and Activities into Any Content Area - Rachell...

Get practical tools and strategies for teaching AI across the K-12 curriculum with this accessible guide.

As AI continues to transform our world, educators have a responsibility to stay current with the changes, and ensure that students have the necessary knowledge and skills to succeed in the future. Written by an educator who is currently teaching on this topic, How to Teach AI shares practical strategies and tools based on what good practice looks like in the classroom right now. Readers will build confidence in integrating AI into their curriculum so they can effectively prepare students for their careers.

Taking a friendly and accessible approach, the book covers a range of topics related to AI, such as machine learning, robotics and natural language processing, and includes examples of how these technologies are being implemented in different industries and their impact on education. The book includes a chapter dedicated to the ethics of AI, addressing issues around bias, intellectual property, student data privacy and more.

The book includes:
[*]Ideas for using generative AI in the classroom and tips for writing effective prompts.
[*]Activity ideas across content areas, including computer science, economics, literature, music and more.
[*]Time-saving ideas for teachers, and study aids for students to explore.
[*]AI-powered tool recommendations for teachers.
[*]Questions for reflection in every chapter.

With examples from educators in the field, and a variety of resources to apply in the classroom, this book helps educators become comfortable with this important topic and create meaningful learning experiences for their students.

Audience: Elementary and secondary educators and technology coaches