Degrees of Change : What AI Means for Education and the Next Generation.

Format:

Book

Author/Creator:

Lavista Ferres, Juan M.

Series:

Microsoft AI Economy Institute Series

Language:

English

Subjects (All):

Artificial intelligence--Educational applications.

Artificial intelligence.

Education, Higher--Technological innovations.

Education, Higher.

Physical Description:

1 online resource (355 pages)

Edition:

1st ed.

Place of Publication:

Newark : John Wiley & Sons, Incorporated, 2026.

Summary:

Fresh insights and discussions from the latest research into the impact of AI on higher education AI is transforming every commercial industry it touches.But it's also changing the way we perform science, collect and analyze data, and even educate our young people.

Contents:

Cover

Title Page

Copyright Page

Contents

Foreword

Introduction

Section I Foundations and Frontiers of AI and Education

Chapter 1 A 75-Year Journey and the Diffusion Divide

From Specific Tasks to General Tools

The Impact of Transformers

The Power of Large Language Models

ChatGPT

The Next General Purpose Technology

Is AI the Next GPT?

The Diffusion Divide

Lessons from East Asia

The Fastest Diffusion in Human History

The Building Blocks of AI

Conclusion

Chapter 2 AI, Jobs, and the Meaning of Work

Technology Always Changes Work

Survival and Meaning in Work

Creative Destruction and AI's Distinction

Lessons from History

Technology Creates Efficiencies

Some Jobs Vanish, but New Jobs Appear-and Often Expand the Workforce

We Underestimate the Jobs the Future Will Bring

Technology Tends to Raise Living Standards, Creating New Industries and Opportunities

Conclusion: Steering AI for Human Flourishing

Chapter 3 How AI Is Changing Education

The Reshaping of Education

The Two Faces of AI in Education

The Positive Impacts of AI on Education

The Negative Side of AI on Education

Focus on What Is Timeless

Chapter 4 The Importance of AI Literacy

AI Skills in Modern Life

From Complexity to Accessibility

Understanding the Limitations

A New Kind of Literacy

Limits and Progress

Preparing for the Future

The New Digital Skill Set

Global Implications

Conclusion: Looking Ahead

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

AI and the Future of Work

The Increasing Importance of Creativity

Six Facets of Creative Thinking

Collaborating with Machines

Strategic Takeaways

Conclusion.

Chapter 6 The Mutual Alignment of AI and Society: Cultivating Complementary Literacies in Ethics and AI

The Question

The Approach

Helping AI Developers Learn About Society: Going Beyond "It's Just a Tool"

Helping Policymakers and the Public Learn About AI: Going Beyond Information Asymmetry

Chapter 7 Humans in Space: Designing to Foster Trust and Fluencies in Human-AI Relationships

The Development of an Interdisciplinary AI Certificate

From Literacies and Competencies to Trust and Fluencies

What Does This Have to Do with Humans in Space?

"Always a Human Somewhere"

Implications for AI Workforce Training and Education

Designing for Humans As They Are, Not As We Wish Them to Be

Translating Implications into Training and Education Design

Implications for Product Design and Practice

Chapter 8 Rethinking AI Accessibility in African Higher Education Institutions Through Inclusive Participation and Policy Reform

Focal Questions Being Addressed

Approach

Results

Key Takeaways

Section III Reimagining Higher Education with AI

Chapter 9 Faculty Visions of Academic Futures with Generative AI

Findings

Education Must Adapt, While Preserving Its Core Mission

Industry Should Focus on Transdisciplinary Use Cases

Governments Must Encourage and Fund Tinkering

Chapter 10 Higher Education's Dual Role in the AI Economy: Balancing Foundational Learning and Micro-Credential Innovation

Discussions

Overall Market

AI-Developing Jobs

AI-Using Jobs

Micro-Credential Space and the Role of Universities

Chapter 11 How Can Higher Education Survive Transformative AI?

Problem and Motivation.

A Plausible Range of Assumptions for Transformative AI

The Implications of Transformative AI for the Economy and Society

Higher Education's Response to TAI

Divergent Scenarios for Higher Education Under TAI

A Business-as-Usual Scenario: Higher Education's Drift to Irrelevance

Four Alternative Futures in a World of Transformative AI

Discussion and Recommendations

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

Introduction: The Dual Challenge of AI in STEM Education

Case Study 1: The MEB Novice Chatbot-A Confidently Wrong Peer

Building a Flawed AI Peer

Classroom Results

Case Study 2: AI in Introductory Programming-Teaching With and Against the Machine

Research Questions

Pedagogical Experiments

Early Findings

Design Principles for AI-Augmented Learning

Implications for Curriculum, Policy, and Assessment

Conclusion: From Tutor to Trickster-Rethinking AI's Role in Learning

Chapter 13 Generative AI Solves Introductory Computer Science Tasks. Now What?

Introductory CS Courses Need to Change

GenAI Changes How Code Is Written

Foundational Skills for Programming with AI Assistants

The Skill: Problem Decomposition

The Skill: Prompting and Working with GenAI

The Skill: Testing and Debugging

Some Initial Results

Course Projects

Student Opinions

Open Questions

When to Introduce GenAI in CS1

What Courses Beyond CS1 Should Look Like

Long-Term Impacts of Using GenAI

A Call for Community Action

Chapter 14 Shaping the Future of Engineering Education: Faculty Insights on AI-Integrated Engineering Education

Theoretical Framework

Methods.

Participants and Sampling

Survey Instrument

Data Analysis

Respondent Demographics

Quantitative Findings

Key Insights and Illustrative Quotations

Discussion

Theoretical and Practical Implications

Recommendations for Systemic Reform

Limitations and Future Research

Chapter 15 Bots and Business Schools: Rethinking Education for the Era of Generative AI

Business Degrees and AI Exposure

Business School Graduate Use of AI

Ways to Implement AI in Business School Classrooms

AI Feedback

AI and Critical Thinking

AI as Instructional Partner

Gaps

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

Introduction: Why AI Demands a New Workforce Playbook

The Speed of the AI Transition Requires a Tailored Approach

Area of Focus: Taking a Regional Economic Development Approach, with New Jersey as a Case Study

Foundations-Public Policy, Education, Economic Development

Collaboration Is Crucial

Sharpening the Sector Focus

Research Approach: Mapping AI Skills Needs

Discussion: Early Signals and Potential Actions

Level of AI Integration

Perceived Benefits of AI Adoption

Top Planned Areas for AI Use

Barriers to AI Adoption

Valued Industry Credentials

Looking Ahead: Sector-Specific Insights and Action Plans

Conclusion: Toward a Continually Learning Labor Market for the AI Era

Chapter 17 College, Careers, and the Rise of AI

Background

Methods and Data

Insights

Chapter 18 AI Skills Wanted: How AI Technologies Create Demand for Skilled Workers

How Technological Innovations Change the Skill Demands of Occupations.

The Rise of AI Skills in the Modern Economy

AI's Growing Skill Premium

Beyond Pay: Non-Monetary Rewards for AI Talent

AI Skills Improve Employability

Chapter 19 Higher Education For and In the Age of AI

A Bit of History

Computer Science Careers and AI: Myth vs. Reality

Higher Education for the Age of AI

Higher Education in the Age of AI

Computer Science in the Age of AI

About the Editor and Lead Author

About the Authors/Scholars

Acknowledgments

Appendix: Additional Resources

Index

EULA.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

1-394-41307-6

9781394413072

OCLC:

1569123130