by Terry Heick
Bloom’s Digital Taxonomy Verbs (with AI-Aware Class Examples)
Blossom’s Digital Taxonomy Verbs adjust Blossom’s cognitive structure for electronic understanding. Each level– from remembering to producing– couple with purposeful modern technology actions (consisting of AI) so the focus remains on assuming instead of devices.
Keeping in mind
Remember, fetch, or acknowledge realities and interpretations.
- Recall: List key terms for an unit glossary.
 - Find: Locate a primary-source quote sustaining a claim.
 - Book marking: Conserve reliable resources to a common collection.
 - Tag: Apply precise key words to organize resources.
 - Retrieve: Use spaced-repetition/flashcards to examine solutions.
 - Motivate (recall): Ask an AI to reiterate interpretations from class notes, after that confirm with sources.
 
Recognizing
Explain, sum up, interpret, and compare concepts.
- Summarize: Create a concise abstract of a podcast episode.
 - Paraphrase: Reword a thick paragraph to make clear significance.
 - Annotate: Add notes that describe style and proof in a shared doc.
 - Contrast: Build a side-by-side graph of 2 plans.
 - Explain: Tape-record a brief screencast discussing a process.
 - Motivate (discuss): Ask an AI to explain a concept at two quality degrees; cite-check claims.
 
Applying
Usage expertise to execute jobs, solve problems, or generate artefacts.
- Demonstrate: Tape-record a functioned instance resolving a quadratic.
 - Carry out: Run a simulation and report outcomes.
 - Prototype: Build a low-fidelity design in Slides or Canva.
 - Code: Write a brief manuscript to transform or confirm data.
 - Apply rubric: Rating a sample product utilizing standards.
 - Refine timely: Iteratively readjust an AI trigger to fulfill restrictions (target market, size, citations).
 
Analyzing
Break concepts apart, identify patterns and relationships, examine framework.
- Assess: Compare 2 content for bias making use of a proof list.
 - Organize: Develop a timeline that separates domino effects.
 - Identify: Sort claims, proof, and thinking into classifications.
 - Picture: Build charts that expose trends in a dataset.
 - Trace sources: Validate quotes and attributions back to originals.
 - Compare models: Review 2 AI results on precision and openness.
 
Examining
Judge high quality, validate decisions, and safeguard settings making use of standards.
- Review: Provide evidence-based responses on a peer draft.
 - Validate: Fact-check data and mention authoritative resources.
 - Moderate: Facilitate a class discussion for importance and regard.
 - A/B review: Test 2 services and warrant the more powerful selection.
 - Red-team: Stress-test an AI-generated prepare for threats and errors.
 - Show: Write a process note validating tactical selections with standards.
 
Developing
Synthesize concepts to produce original, deliberate job.
- Design: Strategy an item with target market, objective, and constraints.
 - Make up: Produce a podcast/video clarifying a real-world issue.
 - Remix fairly: Transform public-domain/CC media with attribution.
 - Model (stereo): Develop a refined artefact and user-test it.
 - Chain (AI): Coordinate multi-step AI tasks (rundown → draft → cite-check → alteration) with human oversight.
 - Automate: Use easy scripts/AI agents to streamline a process; paper restrictions.
 
Frequently Asked Questions
How were these verbs chosen?
They show common electronic classroom activities mapped to Blossom’s levels, upgraded for credibility (platform-agnostic) and present method (consisting of AI). Each verb includes a brief example so the cognitive intent is clear.
How should I assess these jobs?
Set each verb with criteria that match the degree (e.g., analysis requires evidence patterns, not recall) and need students to show procedure– intending notes, timely logs, cite-checks, and alterations.
 Flower, B. S., Engelhart, M. D., Furst, E. J., Hillside, W. H., & & Krathwohl, D. R. (1956
 Taxonomy of Educational Purposes: The Category of Educational Goals. Handbook I: Cognitive Domain 
New York: David McKay Company. 
 Anderson, L. W., & & Krathwohl, D. R. (Eds.). (2001
 A Taxonomy for Discovering, Mentor, and Assessing: A Modification of Bloom’s Taxonomy of Educational Goals 
New York City: Longman. 
Churches, A. (2009 Blossom’s Digital Taxonomy (Adjustments highlight aligning modern technology tasks to cognitive degrees rather than details tools.).