Flower’s Digital Taxonomy Verbs (with AI-Aware Classroom Examples)
Flower’s Digital Taxonomy Verbs adapt Bloom’s cognitive structure for electronic learning. Each level– from remembering to creating– couple with deliberate innovation actions (consisting of AI) so the focus stays on believing rather than devices.
Remembering
Recall, obtain, or recognize facts and interpretations.
- Remember: Listing vital terms for a system glossary.
- Locate: Discover a primary-source quote sustaining a case.
- Bookmark: Save qualified resources to a common collection.
- Tag: Apply accurate key phrases to arrange resources.
- Retrieve: Use spaced-repetition/flashcards to review formulas.
- Prompt (recall): Ask an AI to reiterate meanings from course notes, after that validate with resources.
Recognizing
Explain, summarize, analyze, and contrast ideas.
- Summarize: Write a concise abstract of a podcast episode.
- Paraphrase: Reword a thick paragraph to make clear meaning.
- Annotate: Add notes that explain theme and proof in a shared doc.
- Contrast: Construct a side-by-side graph of 2 policies.
- Explain: Record a brief screencast clarifying a procedure.
- Prompt (describe): Ask an AI to clarify a principle at two grade levels; cite-check claims.
Using
Usage understanding to do tasks, solve issues, or create artifacts.
- Demonstrate: Videotape a worked example fixing a quadratic.
- Implement: Run a simulation and report results.
- Prototype: Develop a low-fidelity model in Slides or Canva.
- Code: Create a brief script to change or validate information.
- Apply rubric: Score an example item utilizing standards.
- Refine punctual: Iteratively adjust an AI prompt to meet restrictions (target market, length, citations).
Analyzing
Damage principles apart, identify patterns and partnerships, examine framework.
- Examine: Contrast two content for prejudice making use of an evidence list.
- Arrange: Develop a timeline that separates causes and effects.
- Categorize: Sort claims, evidence, and thinking into classifications.
- Envision: Develop graphes that reveal patterns in a dataset.
- Trace resources: Verify quotes and acknowledgments back to originals.
- Contrast models: Review two AI outcomes on precision and openness.
Examining
Court top quality, warrant decisions, and defend placements using requirements.
- Review: Supply evidence-based responses on a peer draft.
- Validate: Fact-check statistics and point out reliable sources.
- Moderate: Promote a course discussion for relevance and regard.
- A/B review: Examination two remedies and justify the stronger choice.
- Red-team: Stress-test an AI-generated prepare for threats and inaccuracies.
- Mirror: Create a procedure note validating calculated options with standards.
Creating
Manufacture ideas to generate original, deliberate work.
- Design: Strategy an item with audience, function, and restrictions.
- Make up: Create a podcast/video explaining a real-world issue.
- Remix fairly: Transform public-domain/CC media with acknowledgment.
- Prototype (hi-fi): Develop a sleek artefact and user-test it.
- Chain (AI): Orchestrate multi-step AI tasks (summary → draft → cite-check → alteration) with human oversight.
- Automate: Use straightforward scripts/AI representatives to streamline a process; record limitations.
Often Asked Inquiries
Exactly how were these verbs selected?
They mirror typical digital classroom activities mapped to Flower’s degrees, updated for integrity (platform-agnostic) and present practice (including AI). Each verb includes a quick instance so the cognitive intent is clear.
Just how should I examine these tasks?
Set each verb with criteria that match the degree (e.g., analysis requires evidence patterns, not recall) and call for students to reveal process– planning notes, timely logs, cite-checks, and revisions.
Blossom, B. S., Engelhart, M. D., Furst, E. J., Hillside, W. H., & & Krathwohl, D. R. (1956
Taxonomy of Educational Goals: The Classification of Educational Goals. Handbook I: Cognitive Domain name
New York City: David McKay Business.
Anderson, L. W., & & Krathwohl, D. R. (Eds.). (2001
A Taxonomy for Understanding, Mentor, and Assessing: A Revision of Blossom’s Taxonomy of Educational Goals
New York: Longman.
Churches, A. (2009 Blossom’s Digital Taxonomy (Adjustments emphasize lining up innovation tasks to cognitive degrees rather than particular devices.).