This timely book evaluates how artificial intelligence can advance educational inclusion, and equity, addressing its best practices and critiques in P-20 education across the Global North and South. Chapters provide crucial insights into the planning, development, and implementation of AI within educational courses, programs and institutions.
This timely book evaluates how artificial intelligence can advance educational inclusion and equity, addressing its best practices and critiques in P-20 education across the Global North and South. Chapters provide crucial insights into the planning, development, and implementation of AI within educational courses, programs, and institutions.
Drawing on unique practical frameworks, contributors demonstrate how educators can integrate AI technologies into instructional leadership to enhance creativity, critical thinking, and analysis. They explore how this emerging technology can be used ethically by students to aid learning and close academic achievement gaps. Presenting crucial policy recommendations based on scholarly studies and real-world case analyses, the book highlights strategies for ensuring AI technologies and detectors are implemented fairly, with particular focus on the needs of students from historically marginalized communities.
Artificial Intelligence for Educational Inclusion and Equity is a valuable resource for scholars, students, and educators interested in the equitable use of AI technologies. It is also beneficial for practitioners and policymakers looking to understand evidence-based practices and effective pedagogical applications.
Arvustused
In Artificial Intelligence for Educational Inclusion and Equity, the authors artfully examine the dualistic nature of generative AI to transform learning while exacerbating inequities in education and the economy. Their critical analyses highlight actionable ways for supporting AI literacy and inclusion among students and educators to overcome these barriers. -- Brady D. Lund, University of North Texas, USA The question of whether artificial intelligence (AI) will expedite or impede inclusivity and equity in education is a complex one. The book contains thought-provoking chapters that attempt to tackle this important question. This is a must-read book for all stakeholders committed to educational justice, particularly in this artificial intelligence era. -- Michael Agyemang Adarkwah, Friedrich Schiller University Jena, Germany This book constitutes a significant and timely contribution to the discourse on educational equity, demonstrating how artificial intelligence can enhance fairness and inclusivity in education. It elucidates the potential of AI to bridge learning disparities, support educators and administrators, and foster equitable opportunities for all learners, irrespective of their socio-economic background or geographical location. -- Kofi Sarpong Adu-Manu, University of Ghana, Ghana
Contents
1 Introduction 1
Emmanuel Jean-Francois and Micheal M. van Wyk
PART 1 AI AND THE CHALLENGES OF DIVERSITY
INCLUSION, EQUITY, AND ETHICS
2 Diversity inclusion, equity, and artificial intelligence 13
Emmanuel Jean-Francois
3 Bridging the digital divide in education: Global and local
perspectives 34
Neil D. Grimes and Sara Platt
4 A whole cartload of beautiful possibilities: Moral guidance
and the paradigm shift of generative AI 65
Jason Todd
5 Critical perspective on artificial intelligence in education 83
Patrick Kersale
PART 2 HUMAN RESOURCE DEVELOPMENT AND
EDUCATIONAL LEADERSHIP FOR INCLUSIVE
AND EQUITABLE AI INTEGRATION
6 Artificial intelligence and human resource development:
Efficiency and equity 99
Nomita Sharma
7 AI for educational inclusion and equity: Academic leadership
and policy for ethical integration in the Global South 116
Michael M. van Wyk
8 AI as part of a process of change in Argentine educational
management in pursuit of equity and inclusion 132
Cristina Adriana Kruger
9 AI and the ethical dimension of educational leadership 148
Charles L. Lowery
PART 3 AI FOR INCLUSION AND EQUITY IN
CURRICULUM AND INSTRUCTION
10 Trust in artificial intelligence: Challenges of educational
equity and ethics in students practices in German higher
education 162
Therese Rosemann, Marie Rathmann, Jan Schiller, and
Sabine Schmidt-Lauff
11 Digitalization and artificial intelligence for enhancing
inclusive and equitable education in Finland 188
Sari Havu-Nuutinen and Sini Kontkanen
12 Educational integration of artificial intelligence: Like it or not
AI is changing the way we teach and learn 210
María Dolores Lasso and Camila Carpio Frixone
13 Mitigating teacher burnout and facilitating career pathways 222
Claire Ramsey
14 Reclaiming AI equity in special education: Justice in a post-
federal era 244
Jimmy R. Caldwell
Edited by Emmanuel Jean-Francois, Associate Professor, Educational Leadership, Division of Education and Counselling, Xavier University of Louisiana, USA and Micheal M. van Wyk, Professor in Economics Education, Department of Curriculum and Instructional Studies, University of South Africa
