Degrees of Change

JUAN M. LAVISTA FERRES is Microsoft’s Chief Data Scientist and Corporate Vice President. He serves as Lab Director of Microsoft’s AI for Good Lab and Director of the AI Economy Institute. He leads a team of data scientists and researchers specializing in AI, machine learning, and statistical modeling who partner with domain experts to address some of society’s greatest challenges.

• Foreword ixIntroduction xiSection I: Foundations and Frontiers of Ai and Education 1Chapter 1: A 75-Year Journey and the Diffusion Divide 2Chapter 2: AI, Jobs, and the Meaning of Work 23Chapter 3: How AI Is Changing Education 32Chapter 4: The Importance of AI Literacy 48Section II: Human Agency and Ethics In the Ai Era 57Chapter 5: Is It You? The Importance of Figuring Out What It Means to Be Human in the Age of AI 58Chapter 6: The Mutual Alignment of AI and Society Cultivating Complementary Literacies in Ethics and AI 69Chapter 7: Humans in Space: Designing to Foster Trust and Fluencies in Human-AI Relationships 79Chapter 8: Rethinking AI Accessibility in African Higher Education Institutions Through Inclusive Participation and Policy Reform 94Section III: Reimagining Higher Education With Ai 113Chapter 9: Faculty Visions of Academic Futures with Generative AI 114Chapter 10: Higher Education’s Dual Role in the AI Economy: Balancing Foundational Learning and Micro-Credential Innovation 130Chapter 11: How Can Higher Education Survive Transformative AI? 141Section IV: Case Studies in Ai-integrated Learning 161Chapter 12: Teaching with the Machine: Designing AI-Augmented Novices to Foster Critical Thinking and Computational Thinking in STEM Education 162Chapter 13: Generative AI Solves Introductory Computer Science Tasks. Now What? 171Chapter 14: Shaping the Future of Engineering Education: Faculty Insights on AI-Integrated Engineering Education 185Chapter 15: Bots and Business Schools: Rethinking Education for the Era of Generative AI 213Section V: Early Signals About Ai Skills And the New Job Market 226Chapter 16: A Regional and Data-Centered Approach to Workforce Development in an AI Economy 227Chapter 17: College, Careers, and the Rise of AI 246Chapter 18: AI Skills Wanted: How AI Technologies Create Demand for Skilled Workers 257Chapter 19: Higher Education For and In the Age of AI 273About the Editor and Lead Author 284About the Authors/Scholars 286Acknowledgments 305Appendix: Additional Resources 307Index 330