From Pilot to PRISM:
Designing Human-Centered
​AI Learning Across
Phases, Teams, and Contexts

Diagram of PRISM-AI: Critical Reflection Coaching Framework with a central glass pyramid and labeled sections: Plan, Run, Meta-Reflect, Interrogate, and Sense-Make.

​Dr. Annetta Dolowitz, Dr. Crisianee Berry, and Dr. Rebecca Reese are the collaborative team behind PRISM, a research-by-design, case study–driven framework that examines responsible AI use through reflection, practice, and structured inquiry. Together, they bring complementary expertise in global learning leadership, emerging technology, accessible design, and learner development to a multi-phase project that has evolved from an initial pilot into Phase II and Phase III. Across surveys, training sessions, individual reflection, and team debriefs, PRISM explores how learners and professionals plan, engage, interrogate, make meaning, and reflect when AI becomes part of the learning process. More than a study of tools, PRISM is a living inquiry into how critical thinking, collaboration, and ethical judgment take shape in AI-mediated environments.

Dr. Dolowitz brings nearly 30 years of global learning and development experience spanning 49 U.S. states as well as Canada, Thailand, India, Singapore, and Hong Kong. Her work reflects a longstanding commitment to experiential learning, including service learning, team-based learning, and creative approaches to leadership development. Dr. Berry contributes an emerging technology perspective grounded in thoughtful learning design and the cultivation of meaningful human connection in digitally mediated spaces. Dr. Reese brings a critical accessibility lens that keeps the work anchored in clarity, ethics, dignity, and inclusion, with particular attention to neurodiverse learners, multilingual learners, and fully online participants. Together, they position PRISM as a framework for examining not only what AI enables, but also what it obscures, complicates, and makes possible in the process of learning.

Early findings suggest that many participants default to using a single AI tool, limiting the productive friction that often supports deeper reflection and more critical engagement. At the same time, emerging patterns indicate that collaboration, with AI and with other people, can generate richer insight than a one-time transactional use of a tool, particularly when reflection is intentionally embedded in both individual and team-based experiences.