The AI Learning Curve: What Every Educator Needs to Know - From Foundations to Practical Use in Higher Education & Adult Learning
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Book Title Description
Title: The AI Learning Curve: What Every Educator Needs to Know - From Foundations to Practical Use in Higher Education & Adult Learning
Subtitle: A Comprehensive Guide for Faculty, Administrators, and Educational Leaders
Book Description
In an era where artificial intelligence is reshaping every aspect of society, educators stand at a critical crossroads. "The AI Learning Curve" provides a definitive roadmap for higher education professionals and adult learning practitioners who need to understand, evaluate, and effectively integrate AI technologies into their educational environments.
This comprehensive guide bridges the gap between AI theory and practical application, offering educators at all levels, from faculty members to administrators, the knowledge and tools necessary to navigate the rapidly evolving landscape of educational technology. Whether you're a seasoned professor encountering AI for the first time or an educational leader developing institutional AI policies, this book meets you where you are and guides you forward.
What You'll Discover:
Key Features:
Written by experienced educators for educators, this book combines rigorous research with practical wisdom gained from frontline implementation experiences. It addresses the unique challenges facing higher education and adult learning environments, from traditional universities to corporate training programs, community colleges to professional development initiatives.
"The AI Learning Curve" is essential reading for faculty members, department chairs, academic administrators, instructional designers, educational technologists, and anyone responsible for preparing learners for an AI-integrated future. This book doesn't just explain what AI can do, it shows you how to harness its potential while maintaining the human-centered values that define quality education.
Target Audience:
Chick, John C.: - John C. Chick, Ed.D., is a Professor of Educational Leadership at the University of Bridgeport, where he serves as a leading voice in adult education, research methodology, and educational innovation. With over 15 years of experience spanning public, private, military, and government sectors, Dr. Chick brings a unique interdisciplinary perspective to the integration of artificial intelligence in higher education and adult learning contexts.Dr. Chick holds an Education Doctorate (Ed.D.) in Educational Leadership from the University of Bridgeport, along with several graduate degrees. He earned his Bachelor of Arts in American Studies from the University of Connecticut.As an accomplished educator and researcher, Dr. Chick teaches graduate and doctoral courses in research methodology, including quantitative and qualitative research methods, comparative education, and dissertation development. His expertise in mixed-methods research design and statistical analysis using tools such as SPSS, SAS, R, and STATA has made him a sought-after mentor for doctoral candidates across multiple disciplines.Dr. Chick's research focuses on the intersection of professional development, workforce education, and educational technology. His recent scholarship includes pioneering work on Human-AI Symbiotic Theory (HAIST) and comprehensive studies on student veterans' experiences in higher education. His publication record includes peer-reviewed articles and conferences.Dr. Chick is an active member of the American Association for Adult and Continuing Education (AAACE), where he serves on the Executive Board as Director for the Commission of Adult Basic Education & Literacy (CABEL). He also contributes to the scholarly community as Associate Editor of the Journal of Military Learning and as a reviewer for Adult Education Quarterly and Adult Learning. At the University of Bridgeport, he serves on the Institutional Review Board (IRB).Dr. Chick's approach to educational leadership emphasizes the responsible integration of emerging technologies with established pedagogical principles, making him ideally positioned to guide educators through the complexities of AI integration in higher education. His work consistently demonstrates how technological innovation can enhance rather than replace human expertise in teaching, learning, and research.
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