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.