by Terry Heick
Bloom’s Digital Taxonomy Verbs (with AI-Aware Class Instances)
Flower’s Digital Taxonomy Verbs adjust Bloom’s cognitive structure for electronic learning. Each degree– from remembering to creating– pairs with purposeful innovation activities (including AI) so the focus stays on thinking instead of tools.
Remembering
Recall, fetch, or recognize realities and definitions.
- Remember: Checklist crucial terms for a device glossary.
- Situate: Locate a primary-source quote supporting a case.
- Bookmark: Save reputable sources to a common collection.
- Tag: Apply precise keyword phrases to arrange resources.
- Fetch: Use spaced-repetition/flashcards to examine formulas.
- Trigger (recall): Ask an AI to restate definitions from course notes, then confirm with resources.
Recognizing
Explain, summarize, analyze, and contrast ideas.
- Sum up: Compose a succinct abstract of a podcast episode.
- Paraphrase: Rephrase a thick paragraph to clear up meaning.
- Annotate: Include notes that discuss theme and proof in a common doc.
- Compare: Build a side-by-side chart of two policies.
- Explain: Tape a brief screencast discussing a procedure.
- Motivate (clarify): Ask an AI to explain a principle at 2 grade degrees; cite-check insurance claims.
Applying
Usage knowledge to execute tasks, address issues, or produce artefacts.
- Demonstrate: Videotape a functioned instance addressing a quadratic.
- Execute: Run a simulation and report end results.
- Model: Construct a low-fidelity version in Slides or Canva.
- Code: Compose a short script to change or validate information.
- Apply rubric: Rating an example item utilizing standards.
- Improve punctual: Iteratively adjust an AI motivate to fulfill constraints (target market, size, citations).
Evaluating
Damage principles apart, recognize patterns and partnerships, analyze framework.
- Analyze: Contrast two content for predisposition using a proof checklist.
- Organize: Develop a timeline that divides domino effects.
- Classify: Kind insurance claims, evidence, and reasoning right into groups.
- Visualize: Construct graphes that reveal fads in a dataset.
- Trace sources: Confirm quotes and acknowledgments back to originals.
- Compare models: Review two AI outcomes on accuracy and openness.
Examining
Judge high quality, justify decisions, and protect positions making use of requirements.
- Review: Offer evidence-based comments on a peer draft.
- Validate: Fact-check statistics and cite authoritative resources.
- Modest: Promote a class discussion for significance and regard.
- A/B examine: Test 2 remedies and warrant the stronger choice.
- Red-team: Stress-test an AI-generated prepare for dangers and mistakes.
- Reflect: Compose a process note justifying tactical choices with standards.
Developing
Manufacture concepts to produce original, purposeful job.
- Design: Plan a product with audience, function, and restraints.
- Make up: Create a podcast/video describing a real-world concern.
- Remix morally: Change public-domain/CC media with acknowledgment.
- Model (hi-fi): Construct a refined artifact and user-test it.
- Chain (AI): Orchestrate multi-step AI tasks (outline → draft → cite-check → modification) with human oversight.
- Automate: Usage straightforward scripts/AI representatives to enhance a process; record constraints.
Regularly Asked Questions
How were these verbs selected?
They reflect usual digital class activities mapped to Blossom’s degrees, upgraded for credibility (platform-agnostic) and current practice (consisting of AI). Each verb includes a quick example so the cognitive intent is clear.
How should I analyze these jobs?
Set each verb with criteria that match the level (e.g., evaluation needs evidence patterns, not recall) and call for students to show procedure– intending notes, prompt logs, cite-checks, and modifications.
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 name
New York City: David McKay Business.
Anderson, L. W., & & Krathwohl, D. R. (Eds.). (2001
A Taxonomy for Learning, Training, and Assessing: A Revision of Bloom’s Taxonomy of Educational Goals
New York: Longman.
Churches, A. (2009 Flower’s Digital Taxonomy (Adjustments highlight lining up innovation jobs to cognitive degrees instead of particular tools.).