In the Age of Generative AI, it is critical for educators to reimagine how traditional educational frameworks can be adapted to meet the needs of today’s learners. In this paper, we propose a reconceptualization of Bloom’s Taxonomy based on rapid advancements in generative AI (GenAI) and their growing ubiquity in educational settings. Popular conceptions of Bloom’s Taxonomy imply a hierarchy of cognitive domains: knowledge, comprehension, application, analysis, synthesis, and evaluation. This structure has been foundational in shaping educational objectives, assessments, and pedagogy. However, in the GenAI era, we need non-hierarchical frameworks to guide and analyze educational practices and policies. By constructing six use cases of GenAI-enhanced teaching, we re-envision Bloom’s taxonomy along a continuum of six educational activities: contextualize, tutor, transfer, deconstruct, hypothesis testing, and collaborate. This approach prioritizes critical thinking and creativity as foundational skills and enables learners to simultaneously deepen content knowledge while developing proficiency with GenAI technologies.

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Bloom’s Taxonomy in the Generative AI Age

  • Negar Farakish,
  • Hui Soo Chae

摘要

In the Age of Generative AI, it is critical for educators to reimagine how traditional educational frameworks can be adapted to meet the needs of today’s learners. In this paper, we propose a reconceptualization of Bloom’s Taxonomy based on rapid advancements in generative AI (GenAI) and their growing ubiquity in educational settings. Popular conceptions of Bloom’s Taxonomy imply a hierarchy of cognitive domains: knowledge, comprehension, application, analysis, synthesis, and evaluation. This structure has been foundational in shaping educational objectives, assessments, and pedagogy. However, in the GenAI era, we need non-hierarchical frameworks to guide and analyze educational practices and policies. By constructing six use cases of GenAI-enhanced teaching, we re-envision Bloom’s taxonomy along a continuum of six educational activities: contextualize, tutor, transfer, deconstruct, hypothesis testing, and collaborate. This approach prioritizes critical thinking and creativity as foundational skills and enables learners to simultaneously deepen content knowledge while developing proficiency with GenAI technologies.