What stays with the learner?
Understanding what people remember and can explain after the immediate support is removed.
Tina Austin
Researching AI’s effects on human cognition and learning. Creator of UnBlooms™, a framework for redesigning learning and assessment for the AI era.
The question guiding my work: what stays with the human?

Featured by · Recognized by · Invited to speak



Paris
01 / The work
My work connects research, learning design, and institutional practice around one aim: AI use that strengthens people’s ability to think, learn, and judge over time.
Make reasoning visible. Design assignments and assessment around what learners understand and can carry forward.
The UnBlooms™ framework 02Examine retention, transfer, metacognition, and the human capability that remains beyond an AI-assisted task.
Research & ideas 03Bring the human capability question into faculty development, institutional decisions, and conversations about AI.
Speaking & advisory02 / The flagship framework
A recursive approach to learning and assessment in the AI era, created by Tina Austin.
UnBlooms™ puts human reasoning at the center. Learners question, generate, critique, and refine—returning to earlier thinking as their understanding develops. Metacognition anchors the process.
Explore the UnBlooms™ frameworkA process to return to, not a ladder to climb
Frame the problem. Surface assumptions.
Develop ideas, with or without AI.
Examine evidence, gaps, and consequences.
Rethink, improve, and loop back.
Metacognition, throughout.
What changed in my thinking—and why?
How to Design, Teach, and Assess Human Reasoning in the AI Era
Buy the workbookThe principle behind the work
GAInable™AI use that leaves people better able to think, learn, judge, and perform later—including without AI.
AI improves the immediate task or output.
The experience builds understanding, judgment, and capability that carry forward.
GAInable™ is the principle. UnBlooms™ is the learning and assessment framework that puts it into practice.
A tool to take with you
Choose one AI use you’re considering. Work through the questions, then take your answers into your next team conversation. Download a blank worksheet or add your reflections first.
0 of 4 questions reflected on.
Your notes stay in this page until you download them.
Turn reflection into a decision. Name the capability you want people to retain, what you need to protect, and when you’ll check back. Revisit your answers as the effects of AI use become clearer.
03 / Research & ideas
Better work today does not, by itself, tell us what someone has learned. My research interests focus on what persists, what transfers, and how we can meaningfully measure it.
Understanding what people remember and can explain after the immediate support is removed.
Examining whether people can apply their understanding to a different problem or context.
Exploring how AI use shapes monitoring, uncertainty, and awareness of what we do and do not know.
Asking how repeated AI use relates to the development of independent human capability.
Essays, questions, and reflections from the work.
What educators and leaders say
From faculty learning to institutional decisions, the work begins with people and the challenges they actually face.
Tina’s UnBlooms Framework transformed how our faculty think about AI in the classroom. She doesn’t just present research — she makes it immediately actionable.
We invited Tina to keynote our AI Summit and the faculty response was extraordinary. She has a rare ability to hold complexity with grace and make it feel manageable.
Tina’s advisory work helped us build an AI governance framework we’re actually proud of — grounded in equity, not just efficiency. She asks the right hard questions.
04 / Speaking & advisory
For universities, organizations, and teams ready to connect AI decisions with learning, reasoning, and human capability.
Bring a research-informed perspective on AI, cognition, and durable learning to your institution or event.
Apply UnBlooms™ to the assignments, assessment practices, and learning goals your educators are working on.
A critical friend alongside your team as you connect AI strategy, faculty development, and human outcomes.

05 / About Tina
I work at the intersection of AI, human cognition, and learning.
My background spans biomedical research and higher education, with teaching across UCLA, USC, CSU, and Caltech. That perspective shapes a central question: how do we design AI use that develops human capability over time?
I created UnBlooms™ to help educators make reasoning visible in learning and assessment. Through GAInable™, I bring that same focus to research, speaking, and institutional advisory work.
Co-authoring California’s AI Guidance for Public Schools through the CDE working group, grounded in SB 1288.
Read Tina’s contribution account ↗Invited speaker at the inaugural Higher Education Summit.
View the OpenAI event ↗Presented UnBlooms™ work on AI safety and influence literacy.
View the workshop program ↗Invited to present UnBlooms™ on ethical and equitable AI use in education.
View the conference program ↗The next conversation
Let’s design AI use around the human capability you want to grow.
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