Blossom’s Digital Taxonomy Verbs (with AI-Aware Class Instances)
Blossom’s Digital Taxonomy Verbs adapt Blossom’s cognitive structure for electronic knowing. Each level– from remembering to producing– couple with deliberate innovation actions (consisting of AI) so the focus stays on believing rather than tools.
Remembering
Remember, get, or recognize truths and meanings.
- Recall: List crucial terms for an unit glossary.
- Locate: Discover a primary-source quote supporting a claim.
- Book mark: Conserve reputable resources to a shared collection.
- Tag: Apply accurate key phrases to arrange resources.
- Fetch: Usage spaced-repetition/flashcards to evaluate solutions.
- Trigger (recall): Ask an AI to reiterate interpretations from course notes, after that confirm with resources.
Comprehending
Explain, sum up, interpret, and contrast ideas.
- Summarize: Write a succinct abstract of a podcast episode.
- Paraphrase: Reword a dense paragraph to clarify definition.
- Annotate: Include notes that explain theme and proof in a shared doc.
- Compare: Construct a side-by-side graph of two plans.
- Explain: Tape a brief screencast explaining a procedure.
- Motivate (clarify): Ask an AI to explain an idea at 2 grade degrees; cite-check insurance claims.
Applying
Use knowledge to execute tasks, solve issues, or produce artefacts.
- Show: Videotape a functioned instance fixing a square.
- Implement: Run a simulation and report results.
- Prototype: Construct a low-fidelity model in Slides or Canva.
- Code: Write a brief script to change or confirm information.
- Apply rubric: Score a sample product making use of criteria.
- Fine-tune prompt: Iteratively readjust an AI prompt to fulfill restraints (target market, size, citations).
Examining
Break concepts apart, recognize patterns and relationships, check out structure.
- Analyze: Contrast two editorials for bias using an evidence checklist.
- Organize: Develop a timeline that divides domino effects.
- Identify: Kind claims, evidence, and reasoning right into classifications.
- Visualize: Construct graphes that expose patterns in a dataset.
- Trace resources: Validate quotes and attributions back to originals.
- Contrast designs: Assess two AI results on precision and openness.
Assessing
Court top quality, justify decisions, and defend positions utilizing standards.
- Critique: Give evidence-based feedback on a peer draft.
- Validate: Fact-check stats and cite authoritative sources.
- Modest: Facilitate a course conversation for relevance and respect.
- A/B assess: Examination two solutions and validate the more powerful choice.
- Red-team: Stress-test an AI-generated plan for dangers and inaccuracies.
- Mirror: Write a process note warranting calculated selections with standards.
Producing
Synthesize concepts to create initial, deliberate work.
- Design: Plan a product with target market, purpose, and restraints.
- Make up: Produce a podcast/video explaining a real-world problem.
- Remix fairly: Transform public-domain/CC media with acknowledgment.
- Prototype (stereo): Develop a sleek artifact and user-test it.
- Chain (AI): Manage multi-step AI tasks (overview → draft → cite-check → modification) with human oversight.
- Automate: Usage straightforward scripts/AI agents to enhance an operations; record restrictions.
Regularly Asked Inquiries
Just how were these verbs picked?
They show typical digital class actions mapped to Flower’s levels, updated for reliability (platform-agnostic) and existing practice (consisting of AI). Each verb consists of a short example so the cognitive intent is clear.
Just how should I evaluate these tasks?
Pair each verb with requirements that match the degree (e.g., analysis needs proof patterns, not recall) and call for trainees to reveal procedure– intending notes, timely logs, cite-checks, and alterations.
Bloom, 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
New York: David McKay Business.
Anderson, L. W., & & Krathwohl, D. R. (Eds.). (2001
A Taxonomy for Understanding, Teaching, and Assessing: A Revision of Blossom’s Taxonomy of Educational Objectives
New York City: Longman.
Churches, A. (2009 Blossom’s Digital Taxonomy (Adjustments stress straightening modern technology jobs to cognitive levels rather than specific tools.).