100 + Instances for Technology-Rich Training

Recall, retrieve, or acknowledge realities and meanings.

• Recall: List key terms for an unit glossary.
• Situate: Discover a primary-source quote sustaining an insurance claim.
• Book marking: Conserve credible resources to a common collection.
• Tag: Apply precise keyword phrases to arrange resources.
• Retrieve: Use spaced-repetition/flashcards to review solutions.
• Motivate (recall): Ask an AI to restate interpretations from class notes, then validate with sources.

Explain, sum up, analyze, and contrast concepts.

• Summarize: Create a concise abstract of a podcast episode.
• Paraphrase: Reword a dense paragraph to make clear significance.
• Annotate: Include notes that describe theme and evidence in a common doc.
• Contrast: Build a side-by-side graph of 2 policies.
• Explain: Record a short screencast clarifying a process.
• Prompt (explain): Ask an AI to discuss a concept at two quality levels; cite-check insurance claims.

Use understanding to perform jobs, address issues, or create artefacts.

• Demonstrate: Tape a functioned example solving a quadratic.
• Carry out: Run a simulation and report end results.
• Model: Develop a low-fidelity model in Slides or Canva.
• Code: Compose a short manuscript to transform or verify data.
• Apply rubric: Rating an example product making use of requirements.
• Fine-tune timely: Iteratively readjust an AI prompt to fulfill constraints (target market, size, citations).

Damage concepts apart, identify patterns and connections, check out structure.

• Analyze: Contrast two editorials for prejudice making use of an evidence checklist.
• Organize: Produce a timeline that divides causes and effects.
• Identify: Type insurance claims, evidence, and reasoning into classifications.
• Imagine: Develop charts that disclose patterns in a dataset.
• Trace resources: Verify quotes and acknowledgments back to originals.
• Contrast versions: Assess two AI outputs on precision and openness.

Judge top quality, validate decisions, and safeguard positions using standards.

• Critique: Give evidence-based comments on a peer draft.
• Validate: Fact-check data and cite reliable resources.
• Moderate: Help with a class discussion for significance and regard.
• A/B review: Test 2 services and validate the stronger choice.
• Red-team: Stress-test an AI-generated prepare for threats and errors.
• Mirror: Create a procedure note justifying critical options with criteria.

Synthesize concepts to produce original, deliberate job.

• Layout: Strategy an item with target market, objective, and restraints.
• Compose: Create a podcast/video explaining a real-world problem.
• Remix morally: Change public-domain/CC media with attribution.
• Model (hi-fi): Construct a sleek artefact and user-test it.
• Chain (AI): Manage multi-step AI jobs (summary → draft → cite-check → modification) with human oversight.
• Automate: Use simple scripts/AI agents to improve a process; record limitations.