AI And The Future of Education: Teaching in the age of Artificial Intelligence Audiobook, by Priten Shah Play Audiobook Sample

AI And The Future of Education: Teaching in the age of Artificial Intelligence Audiobook

AI And The Future of Education: Teaching in the age of Artificial Intelligence Audiobook, by Priten Shah Play Audiobook Sample
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Read By: Shawn K. Jain Publisher: Tantor Audio Listen Time: at 1.0x Speed 3.67 hours at 1.5x Speed 2.75 hours at 2.0x Speed Release Date: January 2024 Format: Unabridged Audiobook ISBN: 9798855507867

Quick Stats About this Audiobook

Total Audiobook Chapters:

13

Longest Chapter Length:

45:18 minutes

Shortest Chapter Length:

05:08 minutes

Average Chapter Length:

25:30 minutes

Audiobooks by this Author:

1

Publisher Description

Among teachers, there is a cloud of rumors, confusion, and fear surrounding the rise of artificial intelligence. This book is a timely response to this general state of panic, showing you that AI is a tool to leverage, not a threat to teaching and learning. By understanding what AI is, what it does, and how it can be used to enhance education, you can let go of anxiety and uncertainty, and learn to embrace it.

Along with tremendous opportunities, AI presents some challenges for the field of education. In this book, Priten Shah, a Harvard MEd with a robust background in educational innovation, helps you face these challenges, so you can gain the skills you need to use AI effectively in your classroom. Thanks to this thorough consideration of ethical considerations and practical approaches, you can develop your own strategy for leveraging AI in administrative tasks, lesson design, professional development, and beyond.

This book will teach you to: understand what AI and machine learning are, and learn about new developments like ChatGPT; discover strategies for engaging students more fully using AI; automate administrative tasks, grading and feedback, and assessments; use AI in innovative ways to promote higher-order thinking skills; and examine ethical considerations of AI, including the achievement gap, privacy concerns, and bias.

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