by Terry Heick
Bloom’s Digital Taxonomy Verbs (with AI-Aware Classroom Examples)
Blossom’s Digital Taxonomy Verbs adjust Blossom’s cognitive framework for electronic knowing. Each level– from remembering to creating– pairs with deliberate innovation activities (consisting of AI) so the emphasis remains on assuming rather than devices.
Bearing in mind
Remember, obtain, or identify realities and interpretations.
- Recall: List key terms for an unit glossary.
- Situate: Discover a primary-source quote supporting a claim.
- Book mark: Save legitimate sources to a shared collection.
- Tag: Apply exact keywords to arrange resources.
- Obtain: Use spaced-repetition/flashcards to examine solutions.
- Motivate (recall): Ask an AI to reiterate definitions from class notes, after that verify with resources.
Understanding
Explain, summarize, interpret, and compare ideas.
- Summarize: Write a succinct abstract of a podcast episode.
- Paraphrase: Reword a dense paragraph to make clear meaning.
- Annotate: Include notes that describe motif and evidence in a common doc.
- Compare: Build a side-by-side chart of 2 policies.
- Explain: Tape-record a brief screencast explaining a procedure.
- Prompt (explain): Ask an AI to discuss a concept at two quality levels; cite-check claims.
Using
Use knowledge to execute tasks, fix issues, or generate artifacts.
- Demonstrate: Record a functioned example fixing a square.
- Carry out: Run a simulation and record end results.
- Prototype: Build a low-fidelity version in Slides or Canva.
- Code: Write a brief manuscript to transform or confirm data.
- Apply rubric: Score an example product using standards.
- Refine punctual: Iteratively change an AI prompt to satisfy restrictions (audience, length, citations).
Examining
Break concepts apart, determine patterns and relationships, check out structure.
- Analyze: Compare two content for predisposition using an evidence list.
- Organize: Create a timeline that divides domino effects.
- Identify: Type claims, evidence, and thinking right into groups.
- Envision: Build charts that reveal patterns in a dataset.
- Trace resources: Verify quotes and attributions back to originals.
- Contrast models: Evaluate 2 AI outputs on precision and transparency.
Reviewing
Court high quality, warrant choices, and defend placements making use of standards.
- Critique: Give evidence-based feedback on a peer draft.
- Validate: Fact-check data and point out authoritative sources.
- Moderate: Promote a course conversation for relevance and regard.
- A/B review: Test two solutions and justify the more powerful selection.
- Red-team: Stress-test an AI-generated prepare for dangers and inaccuracies.
- Mirror: Create a procedure note warranting tactical choices with requirements.
Creating
Manufacture ideas to create original, purposeful work.
- Design: Plan a product with audience, objective, and restrictions.
- Make up: Produce a podcast/video discussing a real-world concern.
- Remix ethically: Transform public-domain/CC media with acknowledgment.
- Model (stereo): Construct a sleek artifact and user-test it.
- Chain (AI): Manage multi-step AI jobs (summary → draft → cite-check → revision) with human oversight.
- Automate: Use basic scripts/AI agents to improve an operations; paper constraints.
Frequently Asked Questions
Just how were these verbs chosen?
They reflect common digital class activities mapped to Bloom’s levels, upgraded for integrity (platform-agnostic) and existing method (consisting of AI). Each verb includes a brief instance so the cognitive intent is clear.
How should I examine these jobs?
Set each verb with standards that match the level (e.g., analysis calls for proof patterns, not recall) and need trainees to show procedure– preparing notes, punctual logs, cite-checks, and modifications.
Blossom, B. S., Engelhart, M. D., Furst, E. J., Hill, W. H., & & Krathwohl, D. R. (1956
Taxonomy of Educational Purposes: The Classification of Educational Goals. Manual I: Cognitive Domain name
New York City: David McKay Business.
Anderson, L. W., & & Krathwohl, D. R. (Eds.). (2001
A Taxonomy for Knowing, Mentor, and Assessing: A Modification of Flower’s Taxonomy of Educational Objectives
New York: Longman.
Churches, A. (2009 Bloom’s Digital Taxonomy (Adjustments emphasize lining up innovation jobs to cognitive degrees rather than particular devices.).