100 + Examples for Technology-Rich Training

Recall, retrieve, or recognize truths and meanings.

• Remember: Checklist vital terms for a device glossary.
• Situate: Find a primary-source quote sustaining an insurance claim.
• Bookmark: Save reliable sources to a shared collection.
• Tag: Apply precise keyword phrases to arrange resources.
• Retrieve: Usage spaced-repetition/flashcards to evaluate formulas.
• Trigger (recall): Ask an AI to reiterate definitions from class notes, after that verify with sources.

Explain, sum up, translate, and contrast concepts.

• Summarize: Write a succinct abstract of a podcast episode.
• Paraphrase: Reword a dense paragraph to make clear definition.
• Annotate: Include notes that discuss style and proof in a common doc.
• Compare: Develop a side-by-side chart of two plans.
• Explain: Record a brief screencast explaining a process.
• Trigger (describe): Ask an AI to discuss a principle at 2 grade degrees; cite-check claims.

Use knowledge to carry out jobs, address problems, or produce artifacts.

• Demonstrate: Record a functioned instance solving a square.
• Perform: Run a simulation and report results.
• Prototype: Build a low-fidelity version in Slides or Canva.
• Code: Create a short script to transform or confirm information.
• Apply rubric: Rating an example product using standards.
• Improve punctual: Iteratively readjust an AI trigger to satisfy restrictions (target market, length, citations).

Damage concepts apart, determine patterns and partnerships, analyze structure.

• Assess: Compare two editorials for prejudice using a proof checklist.
• Organize: Create a timeline that separates domino effects.
• Classify: Kind cases, evidence, and thinking into groups.
• Picture: Develop graphes that reveal fads in a dataset.
• Trace resources: Validate quotes and acknowledgments back to originals.
• Contrast versions: Examine two AI outcomes on precision and transparency.

Court top quality, warrant choices, and protect settings utilizing requirements.

• Review: Supply evidence-based comments on a peer draft.
• Validate: Fact-check stats and cite authoritative sources.
• Moderate: Promote a course discussion for significance and respect.
• A/B assess: Test two services and justify the stronger option.
• Red-team: Stress-test an AI-generated plan for threats and inaccuracies.
• Reflect: Create a procedure note justifying tactical selections with criteria.

Synthesize concepts to create original, purposeful work.

• Style: Strategy an item with audience, purpose, and restraints.
• Make up: Generate a podcast/video describing a real-world problem.
• Remix ethically: Change public-domain/CC media with acknowledgment.
• Model (hi-fi): Develop a refined artifact and user-test it.
• Chain (AI): Orchestrate multi-step AI jobs (summary → draft → cite-check → alteration) with human oversight.
• Automate: Usage basic scripts/AI agents to streamline an operations; file constraints.