Flower’s Digital Taxonomy Verbs (with AI-Aware Class Instances)
Bloom’s Digital Taxonomy Verbs adjust Bloom’s cognitive framework for digital learning. Each degree– from remembering to developing– pairs with deliberate modern technology activities (including AI) so the emphasis remains on believing rather than tools.
Remembering
Recall, recover, or recognize truths and interpretations.
- Remember: Checklist crucial terms for a system glossary.
- Situate: Find a primary-source quote supporting an insurance claim.
- Book mark: Conserve legitimate sources to a shared collection.
- Tag: Apply exact key words to organize resources.
- Recover: Use spaced-repetition/flashcards to review solutions.
- Motivate (recall): Ask an AI to reiterate definitions from course notes, then validate with sources.
Understanding
Explain, summarize, interpret, and compare concepts.
- Summarize: Compose 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 common doc.
- Contrast: Construct a side-by-side chart of 2 plans.
- Explain: Record a short screencast discussing a procedure.
- Motivate (explain): Ask an AI to explain an idea at two quality levels; cite-check claims.
Applying
Use understanding to carry out jobs, solve troubles, or create artifacts.
- Show: Videotape a worked instance solving a quadratic.
- Carry out: Run a simulation and report end results.
- Prototype: Develop a low-fidelity version in Slides or Canva.
- Code: Create a brief manuscript to change or verify information.
- Apply rubric: Rating a sample item utilizing requirements.
- Improve timely: Iteratively adjust an AI trigger to fulfill restraints (target market, length, citations).
Evaluating
Damage ideas apart, determine patterns and partnerships, examine framework.
- Evaluate: Contrast two editorials for bias making use of an evidence checklist.
- Arrange: Produce a timeline that separates causes and effects.
- Identify: Kind insurance claims, proof, and thinking into classifications.
- Envision: Develop charts that disclose patterns in a dataset.
- Trace resources: Verify quotes and attributions back to originals.
- Compare versions: Examine two AI results on precision and transparency.
Examining
Court top quality, justify choices, and protect settings using criteria.
- Critique: Supply evidence-based feedback on a peer draft.
- Validate: Fact-check stats and point out authoritative resources.
- Modest: Facilitate a course discussion for relevance and respect.
- A/B examine: Test two services and justify the stronger option.
- Red-team: Stress-test an AI-generated prepare for dangers and mistakes.
- Show: Compose a process note validating calculated choices with criteria.
Creating
Manufacture ideas to create original, purposeful work.
- Style: Plan an item with target market, function, and constraints.
- Compose: Create a podcast/video explaining a real-world concern.
- Remix fairly: Transform public-domain/CC media with attribution.
- Model (stereo): Develop a refined artifact and user-test it.
- Chain (AI): Orchestrate multi-step AI tasks (overview → draft → cite-check → alteration) with human oversight.
- Automate: Usage basic scripts/AI agents to streamline an operations; file restrictions.
Often Asked Questions
Exactly how were these verbs chosen?
They reflect usual digital class actions mapped to Bloom’s degrees, updated for reputation (platform-agnostic) and present method (including AI). Each verb includes a brief instance so the cognitive intent is clear.
Just how should I assess these jobs?
Pair each verb with requirements that match the degree (e.g., evaluation requires evidence patterns, not recall) and need students to show process– planning notes, punctual logs, cite-checks, and revisions.
Flower, B. S., Engelhart, M. D., Furst, E. J., Hillside, W. H., & & Krathwohl, D. R. (1956
Taxonomy of Educational Purposes: The Classification of Educational Goals. Handbook I: Cognitive Domain name
New York City: David McKay Firm.
Anderson, L. W., & & Krathwohl, D. R. (Eds.). (2001
A Taxonomy for Learning, Training, and Assessing: A Revision of Flower’s Taxonomy of Educational Goals
New York City: Longman.
Churches, A. (2009 Blossom’s Digital Taxonomy (Adaptations stress aligning modern technology tasks to cognitive levels rather than details tools.).