AI-Enhanced Pedagogies

Rethinking Learning, Curriculum, and Human Potential in the Age of Intelligent Machines
1. Auflage 2026
ISBN: 978-1-041-14594-3
Verlag: Taylor & Francis Ltd

Buch, Englisch, 228 Seiten, Format (B × H): 152 mm x 229 mm

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 It revealed what was already fragile: the dependence on rigid curricular sequences, narrow meritocratic ideals, and outdated theories of learning.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.

Zielgruppe

Postgraduate

Autoren/Hrsg.

M. Sidorkin, Alexander

Fachgebiete

• Sozialwissenschaften Pädagogik Pädagogik Bildungssystem Curricula: Planung und Entwicklung
• Sozialwissenschaften Pädagogik Schulen, Schulleitung Universitäten, Hochschulen
• Sozialwissenschaften Pädagogik Lehrerausbildung, Unterricht & Didaktik E-Learning, Bildungstechnologie
• Sozialwissenschaften Pädagogik Lehrerausbildung, Unterricht & Didaktik Unterrichtsmaterialien
• Sozialwissenschaften Pädagogik Pädagogik Philosophie der Erziehung, Bildungstheorie

Inhaltsverzeichnis

Part I: The Great Disruption: What AI Revealed about Education 1. The Great Disruption: What AI Revealed About Education 2. Taking Ethics Seriously: A Balanced Approach to AI's Complexities Part II: Apprasing the Assumptions: Why Conventional Solutions Do Not Work 3. Measuring Mirages: Why Early AI Learning Studies Miss the Mark 4. The Myth of Authentic Authorship: How Individual Genius Became Educational Fiction 5. Effort, Merit, Grace: How Merit- and effort-based thinking perpetuate mediocrity Part III: Consider Cognition: Curriculum Theory for AI-Enhanced World 6. The Second Coming of Progressivism: How AI Resurrects Educational Dreams 7. New Capabilities: Cognitive Goalposts for Human-AI Collaboration 8. Leverkühn's Leap: How To Revise Curriculum For The Age Of AI 9. The Goldilocks Zone Supersized: Reconceptualizing Classroom Pedagogy Part IV: Transformations: AI-enhanced teaching and learning 10. Designing AI-Enhanced Learning Activities: From Detection to Meaningful Integration 11. Assessment in AI-Enhanced Environments: Beyond Educational Theater 12. An AI Integration Blueprint: Moving Beyond Individual Innovation Conclusion: This Is Our Story

Über Autor(innen)

Alexander M. Sidorkin is Professor of Education at California State University, Sacramento.