AI and Deeper Learning

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A01=Brent Duckor
A01=Carrie Holmberg
accessibility
accuracy
ambitious instruction
artificial intelligence
authenticity
Author_Brent Duckor
Author_Carrie Holmberg
Category=JNA
Category=JNDH
Category=JNU
Category=JNV
ChatGPT
Deeper learning design strategies for classroom
educational practice
educational technology
eq_bestseller
eq_isMigrated=1
eq_nobargain
eq_non-fiction
eq_society-politics
Equitable pedagogies amid algorithmic tutoring
Families guiding youth responsibility
forthcoming
K12 educator navigating artificial intelligence
learning
philosophy of education
Professional community reimagining instruction
student agency
Student agency safeguards regarding machine use
Teacher roles during generative AI automation
teaching
writing

Product details

  • ISBN 9798895571293
  • Dimensions: 152 x 229mm
  • Publication Date: 29 Sep 2026
  • Publisher: Harvard Educational Publishing Group
  • Publication City/Country: US
  • Product Form: Paperback
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A guide for educators seeking to strengthen their role as designers of meaningful learning experiences and stewards of ambitious, equitable practice in an increasingly AI-mediated world

As artificial intelligence (AI) tools rapidly reshape K–12 classrooms, teachers, leaders, parents, and policymakers confront urgent questions: What counts as learning when machines can generate fluent essays, summarize complex texts, and simulate understanding? How do we distinguish between interactive learning—where students engage in productive struggle, reflection, and growth—and interpassive learning, an emerging phenomenon where cognitive effort is delegated to technology in ways that undercut student development?

AI and Deeper Learning advances a research-based framework for responsible uses of AI in classrooms. Drawing on the work of John Dewey, Lev Vygotsky, and other scholars in the sociocultural tradition, Brent Michael Duckor and Carrie Holmberg revisit foundational debates about learner development, the nature of learning, and the purposes of education. Arguing that we are in the midst of a paradigm shift in teaching and learning, the authors offer new directions for addressing paradoxes of instruction with AI-focused practices.

Through vivid classroom examples highlighting teacher dilemmas, the book introduces five pillars—Accuracy, Agency, Accessibility, Assessment, and Authenticity—as an integrated framework for guiding ethical, human-centered, and instructionally meaningful AI practice in schools. Across the chapters, readers encounter teachers and students confronting AI hallucinations, the erosion of student voice, automated versus authentic feedback, and the outsourcing of productive struggle in the learning process, among other tensions.

The book's practical design principles encourage educators to use their pedagogical judgment and make principled decisions about whether, when, or how AI belongs in the learning process. It provides guiding questions, reflective exercises, and resources that help K–12 teachers, professional learning communities, and teacher educators design instruction that cultivates deeper learning and ambitious teaching in AI-mediated classrooms.

Brent Michael Duckor is a professor in the Department of Teacher Education at San José State University and executive director of the Center for Innovation in Applied Education Policy (IAEP).

Carrie Holmberg is a senior lecturer in the Single Subject Credential Program at San José State University and assistant director of assessment and evaluation at the IAEP Center.

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