100 + Examples for Technology-Rich Mentor

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

Blossom’s Digital Taxonomy Verbs adjust Blossom’s cognitive framework for electronic learning. Each degree– from keeping in mind to creating– pairs with purposeful modern technology actions (consisting of AI) so the emphasis remains on thinking as opposed to devices.

Bearing in mind

Recall, retrieve, or recognize truths and meanings.

  • Recall: Listing vital terms for a system glossary.
  • Locate: Locate a primary-source quote supporting an insurance claim.
  • Bookmark: Conserve qualified sources to a shared collection.
  • Tag: Apply precise search phrases to organize sources.
  • Obtain: Usage spaced-repetition/flashcards to examine solutions.
  • Motivate (recall): Ask an AI to reiterate interpretations from course notes, then verify with sources.

Recognizing

Explain, summarize, analyze, and compare ideas.

  • Summarize: Write a succinct abstract of a podcast episode.
  • Paraphrase: Reword a dense paragraph to clarify significance.
  • Annotate: Include notes that describe motif and proof in a common doc.
  • Compare: Build a side-by-side chart of 2 policies.
  • Explain: Tape a short screencast clarifying a procedure.
  • Prompt (discuss): Ask an AI to clarify an idea at two grade levels; cite-check cases.

Using

Use expertise to carry out jobs, address issues, or produce artifacts.

  • Show: Tape a functioned example addressing a quadratic.
  • Implement: Run a simulation and report results.
  • Model: Build a low-fidelity design in Slides or Canva.
  • Code: Create a short script to transform or confirm information.
  • Apply rubric: Rating an example item making use of requirements.
  • Refine timely: Iteratively adjust an AI prompt to meet constraints (target market, size, citations).

Assessing

Damage ideas apart, determine patterns and connections, analyze structure.

  • Examine: Compare two editorials for prejudice utilizing a proof list.
  • Arrange: Create a timeline that divides causes and effects.
  • Classify: Sort claims, proof, and reasoning right into groups.
  • Picture: Construct charts that expose trends in a dataset.
  • Trace sources: Validate quotes and attributions back to originals.
  • Contrast designs: Evaluate two AI outcomes on accuracy and openness.

Examining

Court high quality, justify decisions, and safeguard positions using criteria.

  • Review: Give evidence-based feedback on a peer draft.
  • Validate: Fact-check data and point out authoritative sources.
  • Modest: Assist in a class discussion for relevance and respect.
  • A/B review: Test two remedies and justify the stronger selection.
  • Red-team: Stress-test an AI-generated plan for risks and errors.
  • Show: Write a procedure note justifying critical selections with requirements.

Producing

Manufacture concepts to create original, deliberate work.

  • Design: Plan an item with target market, purpose, and restrictions.
  • Compose: Generate a podcast/video describing a real-world issue.
  • Remix fairly: Transform public-domain/CC media with attribution.
  • Prototype (stereo): Build a sleek artifact and user-test it.
  • Chain (AI): Orchestrate multi-step AI jobs (summary → draft → cite-check → revision) with human oversight.
  • Automate: Use straightforward scripts/AI agents to improve a process; file constraints.

Regularly Asked Inquiries

Just how were these verbs chosen?

They mirror typical electronic class activities mapped to Flower’s degrees, upgraded for reputation (platform-agnostic) and existing method (including AI). Each verb includes a quick instance so the cognitive intent is clear.

Exactly how should I analyze these tasks?

Set each verb with requirements that match the degree (e.g., analysis needs proof patterns, not recall) and require students to reveal process– intending notes, prompt logs, cite-checks, and revisions.

Works Pointed out

Flower, B. S., Engelhart, M. D., Furst, E. J., Hill, W. H., & & Krathwohl, D. R. (1956
Taxonomy of Educational Goals: The Category of Educational Goals. Manual I: Cognitive Domain name
New York: David McKay Firm.

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

Churches, A. (2009 Bloom’s Digital Taxonomy (Adjustments emphasize lining up modern technology jobs to cognitive degrees instead of specific devices.).

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