Tina Austin joins Ray and Dan for a wide-ranging conversation about what AI adoption really looks like in US education beyond the hype, the headlines and the endless frameworks.

Tina is an educator, consultant, policy adviser and the founder of GAInable. She works with schools, colleges and faculty teams on responsible AI adoption. In this episode, she shares how her work evolved from teaching bioethics and AI ethics into supporting educators across the US as they grapple with policy, privacy, assessment, tools, and changing classroom practice. The conversation explores the fragmented reality of AI in education, why many teachers are feeling "frameworked out", and why Tina believes the best place to start is not with the tool, but with the problem you are trying to solve. We also dig into Tina's "UnBlooms" framework - a challenge to linear interpretations of Bloom's Taxonomy in the age of generative AI - and discuss critical thinking, student reflection, equity, privacy, and why educators should stay sceptical of easy answers. A thoughtful episode on using AI well, asking better questions, and meeting learners where they are.

Here's all the links you need:

Tina's new venture, Gainable AI Gainable.ai

The UnBlooms™ model: A Problem-Centered Framework for Learning Design in the AI Era https://zenodo.org/records/17298679

The UnBlooms™ Workbook: How to Design, Teach, and Assess Human Reasoning in the AI Era Tina's Custom GPT for UnBloom: Unbloom-it

You can contact Tina on email at tina@tinaaustin.com

UnBlooms: Tina Austin on thinking well with AI and rethinking Bloom's