100 + Examples for Technology-Rich Teaching

Recall, recover, or acknowledge facts and interpretations.

• Recall: Checklist key terms for an unit glossary.
• Situate: Locate a primary-source quote supporting an insurance claim.
• Book marking: Conserve reputable resources to a common collection.
• Tag: Apply exact keyword phrases to organize resources.
• Obtain: Use spaced-repetition/flashcards to review formulas.
• Prompt (recall): Ask an AI to restate interpretations from course notes, after that verify with resources.

Explain, sum up, analyze, and compare concepts.

• Summarize: Write a succinct abstract of a podcast episode.
• Paraphrase: Reword a dense paragraph to clarify definition.
• Annotate: Add notes that explain style and evidence in a shared doc.
• Compare: Develop a side-by-side chart of two policies.
• Explain: Tape a brief screencast explaining a process.
• Prompt (discuss): Ask an AI to discuss a concept at two grade levels; cite-check cases.

Usage understanding to carry out jobs, resolve problems, or generate artifacts.

• Show: Videotape a worked instance fixing a square.
• Execute: Run a simulation and record results.
• Prototype: Build a low-fidelity model in Slides or Canva.
• Code: Compose a brief script to change or confirm information.
• Apply rubric: Rating an example product making use of criteria.
• Improve punctual: Iteratively readjust an AI trigger to satisfy restrictions (audience, length, citations).

Damage principles apart, recognize patterns and partnerships, take a look at framework.

• Examine: Contrast 2 editorials for prejudice utilizing a proof checklist.
• Organize: Produce a timeline that separates causes and effects.
• Identify: Type cases, proof, and thinking into categories.
• Picture: Build charts that disclose patterns in a dataset.
• Trace sources: Confirm quotes and attributions back to originals.
• Contrast models: Examine two AI results on precision and transparency.

Judge high quality, validate choices, and safeguard placements using criteria.

• Critique: Give evidence-based feedback on a peer draft.
• Validate: Fact-check statistics and cite authoritative sources.
• Moderate: Assist in a course discussion for significance and regard.
• A/B examine: Examination 2 solutions and warrant the stronger choice.
• Red-team: Stress-test an AI-generated plan for dangers and mistakes.
• Reflect: Write a procedure note warranting tactical options with criteria.

Manufacture ideas to produce original, deliberate job.

• Style: Plan an item with target market, function, and restraints.
• Make up: Produce a podcast/video discussing a real-world problem.
• Remix morally: Transform public-domain/CC media with acknowledgment.
• Model (hi-fi): Build a refined artefact and user-test it.
• Chain (AI): Manage multi-step AI tasks (outline → draft → cite-check → alteration) with human oversight.
• Automate: Use basic scripts/AI agents to streamline a workflow; document restrictions.