Carl Hooker’s Learning Evolution: The New Era of AI in the Classroom taps dozens of experts for diverse perspectives on the ethical and responsible use of artificial intelligence in education
Carl Hooker, a leading educational speaker, consultant, and author, today introduced his latest book. Learning Evolution: The New Era of AI in the Classroom gathers best practices from a wide range of experts to help teachers and administrators put artificial intelligence to effective use in education. Hooker solicited input from leading administrators, educators, and policymakers, including:
- Dr. Nicholas J. Cull, professor of communication at University of Southern California;
- Los Angeles Unified School District math and science teacher Michael Hernandez; and
- Instructional Technology Specialist for the New York City Department of Education Laura Ogando.
A central theme of the book is that educators must shift their ethos of learning from product-based to process-based. “This book is a mix of beliefs, strategies, tools, and ideas about what I call ‘AI-enhanced’ learning,” said Hooker. “As artificial intelligence transforms how we live, work, and learn,” Hooker said, “this book explores how generative AI tools are disrupting classrooms while also unlocking new opportunities to enhance teaching and learning.”
Learning Evolution gathers a wealth of information and opinion from more than 50 expert interviews and 500 teacher surveys, and models what it preaches by incorporating input from 50 different AI tools. The first half of the book focuses on foundational and strategic information, such as:
- The history of AI;
- How it is currently used in society,
- Potential uses for AI in education,
- The responsibility and ethics regarding AI use in schools, and
- How to design AI-enhanced assessments.
The second half of the book delves into more practical applications, such as uses of large language models and image generators for a variety of users, including administrators, teachers, and students from early grades through higher education. The final chapters offer a wealth of AI tools that can boost productivity and creativity in a variety of contexts, complete with examples and usage scenarios for the classroom or a professional development session.
Throughout the book, Hooker demystifies undercovered topics such as bias within AI, which can occur when tools pull data from sources that are faulty or biased towards people of certain races, genders, ages, or other demographics. Hooker clearly makes the case that AI is only as effective as the people who create and interact with it.
As Thomas C. Murray, director of innovation for Future Ready SchoolsⓇ, writes in his foreword, “The book doesn’t simply introduce us to the potential of AI in education; it humanizes it, as Hooker intricately unfolds a roadmap that navigates us through this new landscape; one where the student learning experience can be significantly enhanced. This isn’t a handbook on how to layer on the latest and greatest technology; it’s a heartfelt idea generator to take both teaching and learning deeper and to make a human-centered experience more relevant for the world in which we live.”
The American Consortium for Equity in Education, publisher of the "Equity & Access" journal, celebrates and connects the educators, associations, community partners and industry leaders who are working to solve problems and create a more equitable environment for historically underserved pre K-12 students throughout the United States.