AI History examines the transformative role of artificial intelligence in education, tracing its evolution from early computer-assisted learning to sophisticated adaptive platforms.
The book highlights how AI is reshaping teaching methodologies through personalized learning and automated assessment.
Intriguingly, the integration of AI isn't just enhancing existing practices but fundamentally altering traditional pedagogical models.
The book is structured around three main themes: the historical development of AI in education, its impact on teaching practices, and the broader systemic changes within educational institutions.
It explores topics such as curriculum design and policy development, providing a comprehensive understanding of AI's capabilities and challenges.
AI History uses historical analysis, empirical research, and case studies to support its arguments.
This academic exploration uniquely combines a historical perspective with a forward-looking analysis, making it valuable for educators, policymakers, and researchers.
It progresses from foundational AI concepts to specific applications like intelligent tutoring systems, culminating in policy recommendations and strategies for harnessing AI's potential while mitigating risks.
