Dr. M. Elizabeth Azukas is a researcher of learning, leadership, and human-AI systems. Her work explores how emerging technologies shape decision-making, professional learning, and organizational adaptation across education and workforce contexts.
Drawing on experience as a teacher, school and district leader, university faculty member, and researcher, Dr. Azukas studies AI-mediated learning, human-AI collaboration, simulation-based professional development, and reflective decision-support systems. Her research integrates perspectives from the learning sciences, systems thinking, human-computer interaction, and organizational learning to better understand how individuals and institutions learn, adapt, and innovate in rapidly changing environments.
As a Senior Research Associate at the Georgia Tech Research Institute and Affiliate Faculty Member with the Institute for People and Technology, she leads and contributes to projects focused on AI-enabled coaching systems, simulation and digital twin environments, workforce development, digital learning, and the design of human-centered technologies that support learning and decision-making.
Her recent scholarship includes the development of the DOT Framework, a systems-based approach to understanding human-AI collaboration and organizational adaptation; the DOT AI Coach, a human-centered coaching architecture designed to support reflective decision-making; and AIM-AI (The Interactional Model of AI-Mediated Learning), a framework for understanding how interaction structures shape learning in human-AI environments.
Hello! You can call me Liz.
Pronouns: she/her/hers
EXPERIENCE
More than 30 years of experience spanning teaching, leadership, research, and innovation across K-12, higher education, and workforce development. My career has included roles as a teacher, principal, curriculum director, assistant superintendent, university faculty member, and researcher, with a focus on learning, leadership, technology, and organizational change.
TEACHING&
PROFESSIONAL LEARNING
The center of my teaching and professional learning philosophy is the learner. Whether working with students, educators, leaders, or professionals, I believe meaningful learning begins with understanding what individuals bring to the experience, how they engage with new ideas and challenges, and how those experiences shape their future thinking and practice. My goal is to create learning environments that foster curiosity, reflection, collaboration, and growth, helping learners develop not only knowledge and skills, but also the capacity to adapt, solve complex problems, and continue learning throughout their lives.
RESEARCH & PUBLICATION
My research explores how emerging technologies shape learning, leadership, and decision-making. Current areas of scholarship include AI-mediated learning, human-AI collaboration, simulation-based professional learning, and the design of human-centered systems that support reflection, adaptation, and organizational learning.