Use the recursive, non-hierarchical UnBlooms™ framework to turn citation mismatches into evidence of discernment: what learners interrogate, challenge, revise, or deliberately resist.
WHY I CALLED IT UNBLOOMS™
Bloom’s original taxonomy was a classification of educational objectives—not the colorful, rigid ladder that later came to dominate classrooms. Its evaluative instinct was gradually buried beneath a simplified hierarchy.
Generative AI made that hierarchy impossible to ignore. A learner can now jump directly to a polished “Create” output without doing the cognitive work the product once appeared to represent. If AI provides the elevator to the top of the pyramid, reaching the top can no longer be enough evidence of learning.
UnBlooms™ “unblooms” the pyramid. It replaces a fixed sequence with a recursive, nonlinear, context-dependent loop. Learners may enter at any point; what matters is whether they question, generate, critique, refine, and make deliberate choices about when AI supports learning—and when it should be resisted.
UnBlooms™ brings judgment back to the center—alongside human agency and curiosity—where the work of learning can be observed, discussed, and assessed.
Read the full origin story on Substack ↗01 / ARCHITECT WITH UNBLOOMS™
UnBlooms™ centers the problem and allows learners to enter wherever the task and their readiness require. Question, Generate, Critique, and Refine recur; reflection is the organizing principle, not an endpoint.
Students lock an approved source list before drafting. They name disciplinary constraints and when AI should not be trusted.
The script interrupts fluent acceptance. Every unmatched citation becomes a visible decision point, with the same scaffold for every learner.
The resolution log becomes the Decision Trail: what changed, why it changed, what evidence guided the decision, and whose cognition did the work.
Grade the operation, not the polish: deliberate checking, rejecting, revising, and explaining.
READ THE RESEARCH
Open-access research on agentic assignments, metacognitive infrastructure, and the UnBlooms™ measurement framework.
Tina R. Austin
Journal of Instructional Design and Technology, 1, 8–18 (2026)
Tina R. Austin
International Journal of Emerging and Disruptive Innovation in Education: VISIONARIUM, 4(1), Article 7 (2026)
Tina R. Austin, Jason Gulya, and NICK Potkalitsky
International Journal of Emerging and Disruptive Innovation in Education: VISIONARIUM, 4(1), Article 6 (2026)
THE UNBLOOMS™ ASSESSMENT SHIFT
GenAI weakens the link between a polished product and evidence of learning. UnBlooms™ makes the learner’s decisions, revisions, and resistances assessable.
The UnBlooms™ Workbook provides practical tools for assessing human reasoning in the age of AI.