Degrees of Change
What AI Means for Education and the Next Generation
by Juan M. Lavista Ferres
1st Edition
Publisher: John Wiley & Sons P&T
Book Details
| Print ISBN | 9781394413065 |
| eText ISBN | 9781394413072 |
| Publisher | John Wiley & Sons P&T |
| Publishing Year | 2026 |
| Edition | 1st Edition |
| Language | English |
| Pages | 352 |
Degrees of Change: What AI Means for Education and the Next Generation, 1st Edition, examines how artificial intelligence impacts postsecondary education systems and workforce preparation. Authored by Juan M. Lavista Ferres, this publication offers students, educators, university administrators, government policymakers, and industry professionals a structured analytical framework for institutional planning, curriculum development, and policy adaptation.
The text synthesizes key developments across contemporary learning environments. It examines workforce readiness, ethical literacy, human agency, and micro-credential initiatives alongside instructional practices in computer science, business, engineering, and broader STEM disciplines. Through these overarching themes, the work explores practical methods for aligning degree programs with rapidly shifting labor market expectations.
This volume marks the first book in the Microsoft AI Economy Series from Microsoft's AI Economy Institute. It provides higher education management courses, academic administration programs, and public policy seminars with an evidence-based resource for evaluating technological integration in modern universities.
Table of Contents
Chapter Section I: Foundations and Frontiers of Ai and Education
Chapter 1: A 75-Year Journey and the Diffusion Divide
Chapter 2: AI, Jobs, and the Meaning of Work
Chapter 3: How AI Is Changing Education
Chapter 4: The Importance of AI Literacy
Chapter Section II: Human Agency and Ethics In the Ai Era
Chapter 5: Is It You? The Importance of Figuring Out What It Means to Be Human in the Age of AI
Chapter 6: The Mutual Alignment of AI and Society Cultivating Complementary Literacies in Ethics and AI
Chapter 7: Humans in Space: Designing to Foster Trust and Fluencies in Human-AI Relationships
Chapter 8: Rethinking AI Accessibility in African Higher Education Institutions Through Inclusive Participation and Policy Reform
Chapter Section III: Reimagining Higher Education With Ai
Chapter 9: Faculty Visions of Academic Futures with Generative AI
Chapter 10: Higher Education’s Dual Role in the AI Economy: Balancing Foundational Learning and Micro-Credential Innovation
Chapter 11: How Can Higher Education Survive Transformative AI?
Chapter Section IV: Case Studies in Ai-integrated Learning
Chapter 12: Teaching with the Machine: Designing AI-Augmented Novices to Foster Critical Thinking and Computational Thinking in STEM Education
Chapter 13: Generative AI Solves Introductory Computer Science Tasks. Now What?
Chapter 14: Shaping the Future of Engineering Education: Faculty Insights on AI-Integrated Engineering Education
Chapter 15: Bots and Business Schools: Rethinking Education for the Era of Generative AI
Chapter Section V: Early Signals About Ai Skills And the New Job Market
Chapter 16: A Regional and Data-Centered Approach to Workforce Development in an AI Economy
Chapter 17: College, Careers, and the Rise of AI
Chapter 18: AI Skills Wanted: How AI Technologies Create Demand for Skilled Workers
Chapter 19: Higher Education For and In the Age of AI
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