100 + Examples for Technology-Rich Teaching

Recall, retrieve, or recognize realities and interpretations.

• Recall: Listing essential terms for a system glossary.
• Find: Find a primary-source quote supporting an insurance claim.
• Bookmark: Save legitimate sources to a common collection.
• Tag: Apply precise keyword phrases to arrange sources.
• Recover: Usage spaced-repetition/flashcards to assess solutions.
• Trigger (recall): Ask an AI to reiterate definitions from course notes, after that confirm with resources.

Explain, sum up, analyze, and contrast ideas.

• Sum up: Create a concise abstract of a podcast episode.
• Paraphrase: Rephrase a thick paragraph to make clear significance.
• Annotate: Include notes that clarify motif and evidence in a shared doc.
• Contrast: Construct a side-by-side chart of 2 policies.
• Explain: Tape-record a brief screencast explaining a procedure.
• Prompt (discuss): Ask an AI to describe a principle at 2 quality degrees; cite-check cases.

Usage knowledge to do tasks, resolve problems, or create artifacts.

• Show: Tape a worked example fixing a square.
• Implement: Run a simulation and report outcomes.
• Prototype: Build a low-fidelity model in Slides or Canva.
• Code: Create a brief manuscript to transform or validate data.
• Apply rubric: Score an example product making use of requirements.
• Fine-tune timely: Iteratively change an AI prompt to satisfy restrictions (target market, length, citations).

Break ideas apart, determine patterns and partnerships, analyze structure.

• Assess: Compare two editorials for bias using a proof checklist.
• Arrange: Create a timeline that divides causes and effects.
• Categorize: Sort cases, proof, and reasoning into categories.
• Envision: Develop graphes that disclose fads in a dataset.
• Trace sources: Verify quotes and acknowledgments back to originals.
• Contrast designs: Assess 2 AI results on accuracy and openness.

Judge high quality, justify decisions, and defend positions making use of criteria.

• Critique: Provide evidence-based comments on a peer draft.
• Validate: Fact-check statistics and cite authoritative resources.
• Moderate: Facilitate a course conversation for importance and respect.
• A/B evaluate: Test two solutions and warrant the stronger choice.
• Red-team: Stress-test an AI-generated plan for risks and errors.
• Show: Compose a procedure note justifying critical options with standards.

Manufacture ideas to produce initial, deliberate job.

• Design: Plan a product with audience, function, and restraints.
• Compose: Create a podcast/video clarifying a real-world problem.
• Remix ethically: Transform public-domain/CC media with attribution.
• Prototype (hi-fi): Build a sleek artifact and user-test it.
• Chain (AI): Manage multi-step AI jobs (overview → draft → cite-check → alteration) with human oversight.
• Automate: Use simple scripts/AI agents to enhance a workflow; paper constraints.