<span>This edited volume is based on contributions from the TCET-AECT “Human-Technology Frontier: Understanding the Learning of Now to Prepare for the Work of the Future Symposium” held in Denton, Texas on May 16-18, sponsored by AECT. The authors embrace an integrative approach to designing and imp
Artificial Intelligence, Human Agency and the Educational Leader
✍ Scribed by Rosemary Papa, Karen Moran Jackson
- Publisher
- Springer
- Year
- 2021
- Tongue
- English
- Leaves
- 198
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
✦ Synopsis
This book includes contributions by scholars from a variety of disciplines, the dialogue and discourse on how AI (artificial intelligence) development includes and/or excludes pedagogical educational learning theories focused on the learner. A call from Educational Leaders Without Borders (ELWB) was issued to scholars from across the globe who were asked to write a vignette described as an evocative description or account on how education leaders envision education in 2051 and A.I. beyond mere product purchase. These vignettes should engage us in questions as to how the development and use of AI technologies are shaped. As educators who believe education should be established on social justice beliefs and practices, our review of literature shows there are no books addressing the complexities of A.I. development and the role of educators. The futuristic element is unique in its approach to imagine a socially just better world in which to inspire educators. This unique feature encourages creativity in how one addresses the call to imagine a future world and our role as educators in that world.
✦ Table of Contents
Foreword
Contents
Chapter 1: AI Transforms Twentieth-Century Learning
Learning and Leadership Theories
Ways of Knowing
AI Focus on the Individual Learner
Teaching and Learning Transformed
Chapter 2: Artificial Intelligence and Computer Design
Computer Science and Software Development
Data, Large and Small
Twenty-First-Century Learning Theories
Messy Human Issues and Ethics
Chapter 3: AI Disquiets
Online Teaching Learning 2.0
Human Bias
Machine Bias
Human Diversity
Educational Leadership Strategies for Algorithmic Transparency and Honesty
Chapter 4: Classrooms in 2051
Adapting Technology to Social Needs
AI Ethical Processes
Be Open to New Types of Data
Human Responsibility
Chapter 5: Education in 2051
The Future of Learning
The Future Classroom
The Future Teacher
The Future Educational Leader
Education in 2051
The Role of ELWB Scholars
References
References – Vignettes
Chapter 1 Vignette References
Visone
Black
Abernathy
Dereshiwsky
Petroff
Chapter 2
Timms
Brown
Delgado Gaitan
Benedetti
Young
Riggs
Chapter 3
Lemke
Shane
Saxena
Fowler & Jouganstos
Chapter 4
Johnson
Sanders
Ceglie
Hermosura
Thornburg
Chapter 5
Sánchez
Rosario-Moore
Soles
Chen & Arar
Index
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