Building Thinking, Not Answers
Using AI to Support Student Learning, Reflection, and Independence
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ナレーター:
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Paul Warrick
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著者:
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Paul Warrick
Building Thinking, Not Answers challenges one of the biggest misconceptions about artificial intelligence in education: that AI is either a shortcut to answers or a threat to learning.
Drawing on decades of experience in K-12 education, corporate training, instructional design, and advanced manufacturing, educator Paul Warrick presents a practical approach that uses AI as a thinking partner rather than an answer generator. Instead of replacing student work, AI becomes a guide that asks better questions, helps organize ideas, encourages reflection, and builds student ownership.
Inside this book, you'll discover how to:
• Transform AI from an answer machine into a conversation partner.
• Help students overcome the hardest part of learning, getting started.
• Design prompts that keep students thinking instead of copying.
• Make student thinking visible for deeper assessment.
• Build classroom routines that promote reflection, independence, and ownership.
• Apply these strategies across subjects, grade levels, and even workplace training.
Whether you teach English, science, mathematics, career and technical education, or lead professional development, the ideas in this book focus on one goal: helping learners think more deeply.
Technology will continue to change.
Great teaching begins with better conversations.
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