Flower’s Digital Taxonomy Verbs (with AI-Aware Classroom Examples)
Blossom’s Digital Taxonomy Verbs adapt Blossom’s cognitive structure for electronic knowing. Each degree– from bearing in mind to developing– couple with deliberate technology activities (consisting of AI) so the focus remains on believing instead of tools.
Keeping in mind
Recall, recover, or recognize truths and interpretations.
- Recall: Checklist crucial terms for a system glossary.
- Locate: Find a primary-source quote sustaining a claim.
- Bookmark: Save credible resources to a shared collection.
- Tag: Apply exact keyword phrases to organize resources.
- Fetch: Usage spaced-repetition/flashcards to examine formulas.
- Motivate (recall): Ask an AI to restate interpretations from course notes, then verify with resources.
Recognizing
Explain, sum up, analyze, and compare ideas.
- Sum up: Compose a concise abstract of a podcast episode.
- Paraphrase: Rephrase a dense paragraph to clear up definition.
- Annotate: Add notes that discuss style and evidence in a common doc.
- Compare: Build a side-by-side graph of 2 policies.
- Explain: Tape-record a brief screencast explaining a process.
- Trigger (clarify): Ask an AI to clarify a concept at two quality degrees; cite-check claims.
Using
Usage understanding to do tasks, address issues, or create artefacts.
- Demonstrate: Tape a worked example solving a quadratic.
- Execute: Run a simulation and record results.
- Model: Construct a low-fidelity design in Slides or Canva.
- Code: Create a brief manuscript to transform or validate data.
- Apply rubric: Rating a sample product making use of criteria.
- Improve timely: Iteratively readjust an AI motivate to satisfy constraints (audience, length, citations).
Evaluating
Damage ideas apart, determine patterns and relationships, examine framework.
- Analyze: Contrast 2 editorials for prejudice making use of an evidence checklist.
- Arrange: Create a timeline that separates domino effects.
- Identify: Sort claims, evidence, and thinking into classifications.
- Envision: Build graphes that reveal patterns in a dataset.
- Trace sources: Verify quotes and attributions back to originals.
- Compare designs: Examine 2 AI results on precision and transparency.
Assessing
Judge quality, warrant decisions, and protect settings utilizing requirements.
- Review: Supply evidence-based comments on a peer draft.
- Validate: Fact-check stats and point out reliable resources.
- Modest: Facilitate a course conversation for significance and regard.
- A/B examine: Test two services and warrant the stronger choice.
- Red-team: Stress-test an AI-generated prepare for risks and errors.
- Show: Compose a procedure note justifying strategic options with criteria.
Developing
Manufacture ideas to generate original, deliberate work.
- Layout: Plan an item with audience, purpose, and restraints.
- Make up: Create a podcast/video discussing a real-world problem.
- Remix ethically: Change public-domain/CC media with acknowledgment.
- Model (hi-fi): Develop a sleek artefact and user-test it.
- Chain (AI): Orchestrate multi-step AI tasks (synopsis → draft → cite-check → modification) with human oversight.
- Automate: Use simple scripts/AI representatives to enhance a process; document limitations.
Often Asked Questions
Just how were these verbs chosen?
They mirror common electronic class actions mapped to Blossom’s degrees, updated for trustworthiness (platform-agnostic) and present technique (including AI). Each verb consists of a short example so the cognitive intent is clear.
How should I examine these jobs?
Pair each verb with standards that match the level (e.g., analysis calls for proof patterns, not recall) and require students to reveal procedure– preparing notes, prompt logs, cite-checks, and alterations.
Blossom, B. S., Engelhart, M. D., Furst, E. J., Hill, W. H., & & Krathwohl, D. R. (1956
Taxonomy of Educational Objectives: The Category of Educational Goals. Manual I: Cognitive Domain
New York City: David McKay Business.
Anderson, L. W., & & Krathwohl, D. R. (Eds.). (2001
A Taxonomy for Understanding, Mentor, and Assessing: A Modification of Bloom’s Taxonomy of Educational Purposes
New York: Longman.
Churches, A. (2009 Bloom’s Digital Taxonomy (Adjustments stress aligning innovation jobs to cognitive degrees rather than details devices.).