100 + Examples for Technology-Rich Training

Remember, fetch, or identify truths and meanings.

• Remember: Listing essential terms for an unit glossary.
• Situate: Discover a primary-source quote sustaining a claim.
• Book mark: Save reliable sources to a shared collection.
• Tag: Apply exact key words to arrange resources.
• Fetch: Usage spaced-repetition/flashcards to evaluate formulas.
• Motivate (recall): Ask an AI to reiterate meanings from class notes, then validate with sources.

Explain, summarize, analyze, and contrast concepts.

• Sum up: Create a concise abstract of a podcast episode.
• Paraphrase: Reword a thick paragraph to make clear significance.
• Annotate: Add notes that describe style and evidence in a common doc.
• Compare: Develop a side-by-side chart of two policies.
• Explain: Tape-record a short screencast clarifying a process.
• Prompt (clarify): Ask an AI to explain a principle at two grade degrees; cite-check insurance claims.

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

• Demonstrate: Record a worked example fixing a square.
• Execute: Run a simulation and report results.
• Prototype: Construct a low-fidelity design in Slides or Canva.
• Code: Create a brief manuscript to change or confirm information.
• Apply rubric: Score an example item utilizing criteria.
• Improve timely: Iteratively adjust an AI motivate to fulfill constraints (target market, size, citations).

Break principles apart, identify patterns and relationships, check out structure.

• Assess: Compare two editorials for prejudice using a proof checklist.
• Organize: Produce a timeline that divides causes and effects.
• Classify: Sort cases, evidence, and reasoning right into categories.
• Picture: Build graphes that expose patterns in a dataset.
• Trace sources: Verify quotes and attributions back to originals.
• Contrast versions: Examine 2 AI outputs on accuracy and transparency.

Court high quality, validate decisions, and defend placements making use of criteria.

• Critique: Give evidence-based comments on a peer draft.
• Validate: Fact-check statistics and mention authoritative sources.
• Modest: Promote a course conversation for importance and respect.
• A/B assess: Test two remedies and justify the stronger option.
• Red-team: Stress-test an AI-generated prepare for dangers and inaccuracies.
• Show: Create a procedure note warranting tactical choices with standards.

Manufacture concepts to generate initial, purposeful job.

• Layout: Plan an item with audience, purpose, and restrictions.
• Compose: Generate a podcast/video clarifying a real-world problem.
• Remix morally: Transform public-domain/CC media with acknowledgment.
• Model (hi-fi): Build a polished artefact and user-test it.
• Chain (AI): Coordinate multi-step AI tasks (overview → draft → cite-check → alteration) with human oversight.
• Automate: Use straightforward scripts/AI agents to enhance a workflow; paper restrictions.