The Educational Intelligent Economy: Big Data, Artificial Intelligence, Machine Learning and the Internet of Things in Education

Abstract

 Presenter (s) Tavis D. Jules, Loyola University Chicago; Florin D. Salajan, North Dakota State University

Access to Big Data, the ‘new commodity’ for the 21st century economies, and its uses and potential abuses, has both conceptual and methodological impacts for the field of Comparative and International Education. This book examines, in comparative perspective, the impact of the movement from the so-called knowledge-based economy towards the Educational Intelligent Economy. Knowledge, the central component of the knowledge-based economy, is becoming less important in an era that is dominated and defined by the integration of complex technologies under the banner of the fourth industrial revolution. In this new era that blends the physical with the cyber-physical, the rise of education intelligence means that clients including countries, organizations, and other stakeholders are equipped with cutting-edge data in the form of predictive analytics, and knowledge about global educational predictions of future outcomes and trends. In this sense, this timely volume links the advent of this new technological revolution to the world of governance and policy formulation in education in order to open a broader discussion about the systemic and human implications for education of the emerging intelligent economy. This book will prove invaluable for researchers and scholars in the areas of comparative education, artificial intelligence and educational policy.

Table of Contents

About the Contributors xi
Foreword by Gita Steiner-Khamsi xix

Introduction: The Educational Intelligent Economy, Educational Intelligence, and Big Data, Florin D. Salajan and Tavis D. Jules 1

PART I: (RE)CONCEPTUALIZING DATA IN COMPARATIVE AND INTERNATIONAL EDUCATION
Chapter 1 Big “G” and Small “g”: The Variable Geometries of Educational Governance in an era of Big Data, Tavis D. Jules 15

Chapter 2 The Educational Intelligent Economy and Big Data in Comparative and International Education Research: A Decolonial Vision, Bjorn H. Nordtveit and Fadia Nordtveit 33

PART II: REVISITING METHODOLOGIES
Chapter 3 The Perceptron: A Partial History of Models and Minds in Data-driven Educational Systems
Ryan Ziols 51

Chapter 4 Best Practices from Best Methods? Big Data and the Limitations of Impact Evaluation in the Global Governance of Education, D. Brent Edwards Jr 69

Chapter 5 What if Compulsory Schooling was a 21st Century Invention?, Jason McGrath and John Fischetti 87

PART III: WORKFORCE PARTICIPATION, TRANSFORMATION, AND INDUSTRY 4.0
Chapter 6 The Educational Intelligent Economy – Lifelong Learning – A Vision for the Future, Vasudha Chaudhari, Victoria Murphy and Allison Littlejohn 109

Chapter 7 Humanistic, Innovative Solutionism: What Role Do Data Analytics Play in Developing a More Responsive and More Intelligent Adult and Workforce Education Policy?, Elizabeth A. Roumell and Kevin Roessger 127

Chapter 8 Data Mining and Predictive Analytics in Digital Education: Lessons We Can Learn from Big Data that are often Discarded, Aleksei Malakhov 143

Chapter 9 The Intricate Web of Educational Governance: The Cyborg Dialectic and Commodification of Knowledge, Petrina M. Davidson, Elizabeth Bruce and Lisa Damaschke-Deitrick 161

Chapter 10 Engineering the Mechanism/Repairing the Robot: Artificial Intelligence at the Intersection of Education and Industry, Luis F. Alvarez León 179

PART IV: CASE STUDIES
Chapter 11 Policy Development for an Educational Intelligent Economy in the European Union: An Illusory Prospect?, Florin D. Salajan 199

Chapter 12 Haunted Data: The Colonial Residues of Transnational School Reforms in Kenya, Christopher Kirchgasler 215

Chapter 13 Brave New World(s): Governing Clouds, Smart Schools, and the Rise of AIEd, Euan Auld and Yun You 233

Chapter 14 Learning Analytics for Student Success at University: Trends and Dilemmas, Sean Mackney and Robin Shields 251

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