Show Notes
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#UnBlooms™Framework #AIerareasoningassessment #humanjudgmentrubrics #authenticstudentvoice #ethicalAIliteracy #TheUnBloomsWorkbook
The UnBlooms™ Workbook by Tina R. Austin is a practical education workbook for instructors confronting a central problem of generative AI: if a tool can produce essays, summaries, analyses, and lesson artifacts, then traditional assignments may no longer reveal what students actually understand. The book presents the UnBlooms™ Framework, described as a recursive and non-hierarchical redesign of reasoning assessment for AI-rich classrooms rather than a simple update of Bloom Taxonomy. Its purpose is not to discourage AI use, but to help educators design learning tasks in which students must evaluate, justify, reflect, and demonstrate cognitive ownership. The workbook is aimed at K-12 teachers, college instructors, curriculum designers, and educational leaders who need concrete methods rather than general commentary about AI disruption. Its emphasis falls on field-tested prompts, rubrics, adaptable assignment structures, metacognition, critical evaluation, ethical reasoning, and authentic student voice in settings where AI participation is increasingly normal.