100 + Examples for Technology-Rich Training

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Bloom’s Digital Taxonomy Verbs (with AI-Aware Class Examples)

Blossom’s Digital Taxonomy Verbs adapt Flower’s cognitive framework for digital learning. Each level– from bearing in mind to developing– couple with purposeful innovation actions (including AI) so the emphasis remains on believing as opposed to devices.

Keeping in mind

Recall, recover, or recognize realities and definitions.

  • Remember: Checklist vital terms for a device glossary.
  • Situate: Locate a primary-source quote supporting a claim.
  • Book marking: Conserve legitimate resources to a shared collection.
  • Tag: Apply accurate search phrases to arrange sources.
  • Fetch: Usage spaced-repetition/flashcards to review formulas.
  • Trigger (recall): Ask an AI to reiterate interpretations from course notes, after that validate with resources.

Comprehending

Explain, summarize, analyze, and compare concepts.

  • Sum up: Write a concise abstract of a podcast episode.
  • Paraphrase: Rephrase a thick paragraph to clear up significance.
  • Annotate: Include notes that discuss style and evidence in a shared doc.
  • Contrast: Construct a side-by-side graph of two plans.
  • Explain: Tape a short screencast describing a procedure.
  • Trigger (clarify): Ask an AI to describe a principle at 2 quality levels; cite-check cases.

Applying

Use knowledge to do jobs, resolve troubles, or generate artifacts.

  • Demonstrate: Record a functioned example solving a square.
  • Carry out: Run a simulation and report results.
  • Model: Construct a low-fidelity model in Slides or Canva.
  • Code: Create a brief script to change or verify data.
  • Apply rubric: Rating an example product making use of criteria.
  • Improve punctual: Iteratively readjust an AI prompt to meet restrictions (target market, length, citations).

Evaluating

Break ideas apart, determine patterns and relationships, take a look at structure.

  • Assess: Contrast 2 editorials for bias using a proof list.
  • Arrange: Produce a timeline that separates causes and effects.
  • Categorize: Sort insurance claims, proof, and reasoning right into classifications.
  • Visualize: Develop charts that expose patterns in a dataset.
  • Trace sources: Verify quotes and acknowledgments back to originals.
  • Compare versions: Examine 2 AI results on precision and openness.

Examining

Judge quality, warrant decisions, and protect placements using requirements.

  • Review: Offer evidence-based feedback on a peer draft.
  • Validate: Fact-check data and cite reliable sources.
  • Moderate: Facilitate a class conversation for importance and respect.
  • A/B assess: Examination two services and warrant the stronger choice.
  • Red-team: Stress-test an AI-generated prepare for risks and errors.
  • Mirror: Compose a process note warranting critical selections with standards.

Developing

Manufacture ideas to create original, purposeful work.

  • Style: Strategy a product with audience, objective, and restrictions.
  • Compose: Generate a podcast/video discussing a real-world concern.
  • Remix fairly: Transform public-domain/CC media with acknowledgment.
  • Prototype (stereo): Develop a refined artifact and user-test it.
  • Chain (AI): Manage multi-step AI tasks (rundown → draft → cite-check → modification) with human oversight.
  • Automate: Usage easy scripts/AI agents to improve a workflow; paper constraints.

Frequently Asked Concerns

Exactly how were these verbs picked?

They show typical electronic classroom actions mapped to Flower’s levels, updated for reliability (platform-agnostic) and present practice (including AI). Each verb includes a quick example so the cognitive intent is clear.

Just how should I evaluate these tasks?

Set each verb with criteria that match the degree (e.g., evaluation needs proof patterns, not recall) and require pupils to show procedure– planning notes, timely logs, cite-checks, and revisions.

Functions Cited

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. Manual I: Cognitive Domain name
New York City: David McKay Business.

Anderson, L. W., & & Krathwohl, D. R. (Eds.). (2001
A Taxonomy for Discovering, Training, and Assessing: A Revision of Flower’s Taxonomy of Educational Goals
New York: Longman.

Churches, A. (2009 Flower’s Digital Taxonomy (Adjustments emphasize lining up innovation jobs to cognitive levels as opposed to specific tools.).

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