Blossom’s Digital Taxonomy Verbs (with AI-Aware Classroom Examples)
Blossom’s Digital Taxonomy Verbs adapt Flower’s cognitive framework for digital knowing. Each degree– from keeping in mind to producing– couple with purposeful modern technology actions (consisting of AI) so the focus remains on assuming rather than tools.
Bearing in mind
Recall, obtain, or recognize realities and interpretations.
- Recall: Listing essential terms for a system glossary.
- Situate: Find a primary-source quote supporting a case.
- Bookmark: Conserve legitimate resources to a common collection.
- Tag: Apply exact key phrases to arrange resources.
- Fetch: Use spaced-repetition/flashcards to review formulas.
- Motivate (recall): Ask an AI to restate interpretations from class notes, after that validate with sources.
Comprehending
Explain, sum up, analyze, and compare ideas.
- Summarize: Compose a succinct abstract of a podcast episode.
- Paraphrase: Reword a dense paragraph to clarify meaning.
- Annotate: Include notes that clarify theme and evidence in a common doc.
- Contrast: Develop a side-by-side graph of two plans.
- Explain: Record a brief screencast describing a procedure.
- Prompt (discuss): Ask an AI to clarify a concept at two quality levels; cite-check insurance claims.
Applying
Use understanding to carry out jobs, address troubles, or generate artifacts.
- Demonstrate: Record a worked instance solving a quadratic.
- Perform: Run a simulation and record end results.
- Model: Develop a low-fidelity version in Slides or Canva.
- Code: Create a brief manuscript to transform or verify information.
- Apply rubric: Score an example product using criteria.
- Refine timely: Iteratively change an AI prompt to satisfy constraints (audience, size, citations).
Assessing
Break concepts apart, determine patterns and connections, examine structure.
- Assess: Compare 2 editorials for prejudice making use of a proof list.
- Arrange: Produce a timeline that separates domino effects.
- Categorize: Kind insurance claims, proof, and reasoning into groups.
- Envision: Develop charts that disclose fads in a dataset.
- Trace resources: Confirm quotes and acknowledgments back to originals.
- Contrast versions: Assess 2 AI results on accuracy and openness.
Evaluating
Court quality, warrant decisions, and safeguard settings making use of criteria.
- Critique: Offer evidence-based responses on a peer draft.
- Validate: Fact-check stats and point out reliable sources.
- Moderate: Assist in a course discussion for importance and respect.
- A/B assess: Test 2 options and justify the stronger option.
- Red-team: Stress-test an AI-generated prepare for risks and mistakes.
- Show: Create a process note justifying tactical selections with requirements.
Developing
Manufacture ideas to create original, deliberate job.
- Style: Plan a product with audience, objective, and constraints.
- Make up: Produce a podcast/video explaining a real-world issue.
- Remix morally: Transform public-domain/CC media with attribution.
- Model (stereo): Construct a polished artefact and user-test it.
- Chain (AI): Manage multi-step AI jobs (overview → draft → cite-check → revision) with human oversight.
- Automate: Usage straightforward scripts/AI agents to streamline an operations; paper limitations.
Regularly Asked Questions
Exactly how were these verbs picked?
They mirror typical digital class activities mapped to Blossom’s degrees, updated for reputation (platform-agnostic) and current technique (including AI). Each verb consists of a quick instance so the cognitive intent is clear.
Just how should I analyze these tasks?
Set each verb with standards that match the degree (e.g., evaluation calls for proof patterns, not recall) and need students to show process– intending notes, prompt logs, cite-checks, and alterations.
Bloom, B. S., Engelhart, M. D., Furst, E. J., Hill, W. H., & & Krathwohl, D. R. (1956
Taxonomy of Educational Objectives: The Classification of Educational Goals. Manual I: Cognitive Domain
New York City: David McKay Firm.
Anderson, L. W., & & Krathwohl, D. R. (Eds.). (2001
A Taxonomy for Knowing, Mentor, and Assessing: A Modification of Bloom’s Taxonomy of Educational Purposes
New York City: Longman.
Churches, A. (2009 Flower’s Digital Taxonomy (Adjustments emphasize aligning modern technology jobs to cognitive degrees rather than specific tools.).