Addressing Equity And Inclusion In Ai Powered Educational Technologies Opportunities And Concerns
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ADDRESSING EQUITY AND INCLUSION IN AI-POWERED EDUCATIONAL TECHNOLOGIES: OPPORTUNITIES AND CONCERNS
Artificial Intelligence (AI) has emerged as a transformative technology across various industries, including education. With its potential to revolutionize the learning process, AI is paving the way for personalized education, adaptive learning, and improved educational outcomes. This article delves into the background of AI in education, exploring its evolution, applications, benefits, and challenges. Ethical considerations and responsible AI use will gain prominence, ensuring equity, privacy, and transparency in AI-enabled learning environments.
Artificial Intelligence and Inclusive Education
This book brings together the fields of artificial intelligence (often known as A.I.) and inclusive education in order to speculate on the future of teaching and learning in increasingly diverse social, cultural, emotional, and linguistic educational contexts. This book addresses a pressing need to understand how future educational practices can promote equity and equality, while at the same time adopting A.I. systems that are oriented towards automation, standardisation and efficiency. The contributions in this edited volume appeal to scholars and students with an interest in forming a critical understanding of the development of A.I. for education, as well as an interest in how the processes of inclusive education might be shaped by future technologies. Grounded in theoretical engagement, establishing key challenges for future practice, and outlining the latest research, this book offers a comprehensive overview of the complex issues arising from the convergence of A.I. technologiesand the necessity of developing inclusive teaching and learning. To date, there has been little in the way of direct association between research and practice in these domains: A.I. has been a predominantly technical field of research and development, and while intelligent computer systems and ‘smart’ software are being increasingly applied in many areas of industry, economics, social life, and education itself, a specific engagement with the agenda of inclusion appears lacking. Although such technology offers exciting possibilities for education, including software that is designed to ‘personalise’ learning or adapt to learner behaviours, these developments are accompanied by growing concerns about the in-built biases involved in machine learning techniques driven by ‘big data’.
AI, Personalization, Equity, and the Future of Learning
The integration of AI into education has redefined how learning is delivered and measured. There is great potential for AI to drive a more personalized learning experience while also tailoring instructions to a person’s individuals needs. While there are promises to enhance engagement and achievement, it also raises critical questions about equity and access. As we envision the future of learning, it is essential to explore how AI can be harnessed not only to support personalization but also to bridge educational gaps, ensuring that innovation benefits all learners regardless of background or circumstance. AI, Personalization, Equity, and the Future of Learning explores the transformation of AI in education and its impacts on personalized and equitable learning. This book provides a critical lens on equity and access, encouraging the development of inclusive AI-driven solutions that benefit diverse learners worldwide. Covering topics such as academic research, speech recognition tools, and workforce readiness, this book is an excellent resource for researchers, educators, administrators, policymakers, instructional designers, academicians, and more.