Gainable.ai
Gainable.ai
Research-informed perspectives on AI ethics, pedagogy, policy, and what it means to learn — and teach — in the age of generative AI.
The framework that has shaped 70 years of instructional design was built for a world where students did the cognitive heavy lifting alone. That world is gone. Here's what comes next.
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Not "should I allow it?" — that ship has sailed. These are the questions that lead to intentional, equitable integration.
A plain-language breakdown of the statewide AI literacy legislation Tina is helping to write.
If your AI adoption strategy doesn't mention equity, it isn't a strategy — it's a gamble.
How to use the UnBlooms™ Framework in your course from day one — without overhauling everything you already do.
After three years of running workshops across the UC system, certain patterns emerge. Here are the ones that surprised me most.
Tina's background in regenerative medicine meets AI — a practical guide for researchers navigating AI tools in the lab and clinic.
Most institutional AI policies were written in 2023. Here's a framework for keeping yours current without constantly rewriting it.
If students can't reflect on their own thinking, AI will think for them. Here's how to build that capacity before it's too late.
Reflections from one of five global faculty invited to OpenAI HQ — what the conversations revealed, and what questions remain unanswered.
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