100 + Examples for Technology-Rich Teaching

by

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

Bloom’s Digital Taxonomy Verbs adapt Bloom’s cognitive structure for digital understanding. Each degree– from keeping in mind to creating– pairs with purposeful innovation activities (consisting of AI) so the emphasis stays on assuming instead of tools.

Keeping in mind

Remember, get, or recognize facts and meanings.

  • Remember: Checklist key terms for a system glossary.
  • Find: Find a primary-source quote sustaining a case.
  • Book mark: Save reliable resources to a common collection.
  • Tag: Apply accurate keyword phrases to arrange sources.
  • Get: Usage spaced-repetition/flashcards to assess formulas.
  • Prompt (recall): Ask an AI to restate meanings from course notes, after that validate with resources.

Comprehending

Explain, sum up, interpret, and compare ideas.

  • Summarize: Write a succinct abstract of a podcast episode.
  • Paraphrase: Reword a dense paragraph to clear up definition.
  • Annotate: Add notes that clarify theme and proof in a common doc.
  • Contrast: Construct a side-by-side chart of two plans.
  • Explain: Videotape a short screencast clarifying a process.
  • Trigger (explain): Ask an AI to discuss an idea at 2 grade levels; cite-check claims.

Using

Usage knowledge to carry out jobs, resolve problems, or create artifacts.

  • Demonstrate: Record a functioned example addressing a quadratic.
  • Implement: Run a simulation and record results.
  • Model: Develop a low-fidelity model in Slides or Canva.
  • Code: Compose a brief manuscript to change or confirm data.
  • Apply rubric: Rating an example item making use of standards.
  • Improve punctual: Iteratively adjust an AI trigger to satisfy restrictions (audience, size, citations).

Evaluating

Damage principles apart, determine patterns and relationships, examine structure.

  • Examine: Contrast two editorials for prejudice making use of a proof checklist.
  • Arrange: Create a timeline that divides causes and effects.
  • Categorize: Sort insurance claims, evidence, and reasoning right into groups.
  • Picture: Develop charts that reveal trends in a dataset.
  • Trace sources: Validate quotes and acknowledgments back to originals.
  • Compare versions: Review 2 AI outcomes on accuracy and openness.

Reviewing

Court quality, justify decisions, and defend settings making use of requirements.

  • Review: Provide evidence-based feedback on a peer draft.
  • Validate: Fact-check statistics and point out authoritative resources.
  • Moderate: Promote a class discussion for significance and respect.
  • A/B evaluate: Examination two solutions and justify the stronger choice.
  • Red-team: Stress-test an AI-generated prepare for risks and mistakes.
  • Mirror: Compose a process note validating tactical options with criteria.

Developing

Synthesize concepts to generate original, purposeful job.

  • Design: Strategy an item with audience, objective, and restraints.
  • Compose: Create a podcast/video discussing a real-world problem.
  • Remix morally: Change public-domain/CC media with attribution.
  • Model (stereo): Develop a refined artifact and user-test it.
  • Chain (AI): Orchestrate multi-step AI jobs (summary → draft → cite-check → revision) with human oversight.
  • Automate: Usage easy scripts/AI agents to enhance an operations; file constraints.

Frequently Asked Concerns

Exactly how were these verbs picked?

They show typical electronic class actions mapped to Flower’s levels, upgraded for credibility (platform-agnostic) and present practice (consisting of AI). Each verb consists of a quick instance so the cognitive intent is clear.

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 process– intending notes, punctual logs, cite-checks, and revisions.

Works Mentioned

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

Anderson, L. W., & & Krathwohl, D. R. (Eds.). (2001
A Taxonomy for Learning, Teaching, and Assessing: An Alteration of Blossom’s Taxonomy of Educational Objectives
New York: Longman.

Churches, A. (2009 Flower’s Digital Taxonomy (Adjustments highlight straightening innovation tasks to cognitive degrees as opposed to specific tools.).

Leave a Reply

Your email address will not be published. Required fields are marked *