100 + Examples for Technology-Rich Training

Recall, obtain, or acknowledge facts and interpretations.

• Remember: Listing key terms for an unit glossary.
• Find: Locate a primary-source quote sustaining an insurance claim.
• Book mark: Save qualified sources to a shared collection.
• Tag: Apply precise search phrases to arrange resources.
• Obtain: Usage spaced-repetition/flashcards to assess formulas.
• Motivate (recall): Ask an AI to restate interpretations from course notes, after that confirm with sources.

Explain, summarize, analyze, and compare ideas.

• Sum up: Compose a concise abstract of a podcast episode.
• Paraphrase: Rephrase a thick paragraph to make clear meaning.
• Annotate: Include notes that describe theme and proof in a common doc.
• Compare: Develop a side-by-side graph of two policies.
• Explain: Videotape a brief screencast discussing a procedure.
• Trigger (explain): Ask an AI to discuss a concept at 2 quality degrees; cite-check claims.

Usage expertise to carry out tasks, fix issues, or produce artefacts.

• Show: Record a worked instance fixing a square.
• Execute: Run a simulation and record end results.
• Prototype: Build a low-fidelity design in Slides or Canva.
• Code: Write a short manuscript to change or validate information.
• Apply rubric: Rating an example item using criteria.
• Improve timely: Iteratively adjust an AI prompt to satisfy restraints (target market, length, citations).

Damage principles apart, identify patterns and relationships, take a look at structure.

• Analyze: Compare two content for prejudice making use of a proof list.
• Organize: Create a timeline that divides causes and effects.
• Classify: Sort insurance claims, evidence, and thinking right into classifications.
• Envision: Construct graphes that expose trends in a dataset.
• Trace sources: Confirm quotes and attributions back to originals.
• Contrast models: Examine 2 AI results on precision and openness.

Court quality, warrant decisions, and safeguard placements utilizing requirements.

• Critique: Supply evidence-based feedback on a peer draft.
• Validate: Fact-check statistics and mention reliable resources.
• Modest: Help with a class discussion for importance and regard.
• A/B examine: Test two services and justify the more powerful selection.
• Red-team: Stress-test an AI-generated prepare for risks and errors.
• Show: Compose a procedure note justifying tactical choices with requirements.

Manufacture ideas to generate initial, purposeful job.

• Layout: Plan a product with audience, function, and restrictions.
• Compose: Create a podcast/video describing a real-world concern.
• Remix ethically: Transform public-domain/CC media with acknowledgment.
• Model (hi-fi): Construct a sleek artefact and user-test it.
• Chain (AI): Orchestrate multi-step AI tasks (summary → draft → cite-check → revision) with human oversight.
• Automate: Use easy scripts/AI representatives to improve a workflow; record limitations.