AI-Enhanced Pedagogies
Rethinking Learning, Curriculum, and Human Potential in the Age of Intelligent Machines AI-Enhanced Pedagogies argues that artificial intelligence has exposed deep flaws in modern education, which now demands a fundamental rethinking of teaching and learning. This book’s purpose is to develop a theory of education suited to a world where humans and AI learn together. AI-Enhanced Pedagogies argues that artificial intelligence has exposed deep flaws in modern education, which now demands a fundamental rethinking of teaching and learning. AI did not break education. It revealed what was already fragile: the dependence on rigid curricular sequences, narrow meritocratic ideals, and outdated theories of learning. This book’s purpose is to develop a theory of education suited to a world where humans and AI learn together. It proposes that learning should be understood as a collaborative process between people and intelligent tools rather than as an individual pursuit. Organized in four parts, the text begins by exploring how AI has upended the basic assumptions underlying modern education. It then critiques various myths about effort, merit, and authorship, before presenting the creation of new models of shared cognition. Finally, the text concludes with practical strategies for curriculum, assessment, and institutional renewal. Sidorkin shows that AI does not diminish human intelligence but expands it. Education must evolve from linear curricular progressions to flexible systems that foster creativity, discernment, and intellectual courage.
Description
Rethinking Learning, Curriculum, and Human Potential in the Age of Intelligent Machines AI-Enhanced Pedagogies argues that artificial intelligence has exposed deep flaws in modern education, which now demands a fundamental rethinking of teaching and learning. This book’s purpose is to develop a theory of education suited to a world where humans and AI learn together. AI-Enhanced Pedagogies argues that artificial intelligence has exposed deep flaws in modern education, which now demands a fundamental rethinking of teaching and learning. AI did not break education. It revealed what was already fragile: the dependence on rigid curricular sequences, narrow meritocratic ideals, and outdated theories of learning. This book’s purpose is to develop a theory of education suited to a world where humans and AI learn together. It proposes that learning should be understood as a collaborative process between people and intelligent tools rather than as an individual pursuit. Organized in four parts, the text begins by exploring how AI has upended the basic assumptions underlying modern education. It then critiques various myths about effort, merit, and authorship, before presenting the creation of new models of shared cognition. Finally, the text concludes with practical strategies for curriculum, assessment, and institutional renewal. Sidorkin shows that AI does not diminish human intelligence but expands it. Education must evolve from linear curricular progressions to flexible systems that foster creativity, discernment, and intellectual courage.
