Catlin Tucker & Katie Novak 
Elevating Educational Design with AI [EPUB ebook] 
Making Learning Accessible, Inclusive, and Equitable

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AI can’t replace the human element of education. It can elevate it. Educators understand the crucial importance of developing learning experiences that are accessible, engaging, and student-centered. However, when faced with a long list of ever-increasing demands, teachers are often left without the time, energy, and resources necessary to turn best intentions into best practices. Enter Elevating Educational Design with AI, a guide for teachers who want to use technology to activate engagement, give students agency over their learning, and streamline workflows. In an era when AI is rapidly reshaping our world, some educators feel apprehensive about integrating it into their practice. Without a focus on the humans behind the ideas, AI-generated lessons can end up perpetuating one-size-fits-all learning experiences, undermining efforts to create inclusive and differentiated learning environments where all students can thrive. The conversational, personable, and inquisitive approach of Elevating Educational Design with AI refocuses the conversation on how we can use AI-powered tools in the service of strong pedagogical practices that offer effective learning experiences for every student, demystifying the integration of AI in education, guiding educators, and helping them harness its power. With their latest book, Catlin Tucker and Katie Novak empower teachers with an adaptable and rigorous educational design framework that embodies the best ideals of Universal Design for Learning (UDL) and blended learning. They explain how readers can leverage modern AI as a dynamic thought partner to help transform insights into action. Each chapter explores a step in designing accessible, inclusive, and equitable experiences, highlighting how to employ AI to create learning environments anchored in strong pedagogical practices.

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语言 英语 ● 格式 EPUB ● 网页 292 ● ISBN 9781948334785 ● 文件大小 6.8 MB ● 出版者 Impress ● 发布时间 2025 ● 下载 24 个月 ● 货币 EUR ● ID 10217221 ● 复制保护 Adobe DRM
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