100 + Examples for Technology-Rich Training

Recall, retrieve, or acknowledge truths and interpretations.

• Remember: Checklist essential terms for an unit glossary.
• Situate: Find a primary-source quote supporting a case.
• Book mark: Save credible sources to a common collection.
• Tag: Apply precise search phrases to arrange sources.
• Recover: Use spaced-repetition/flashcards to examine solutions.
• Motivate (recall): Ask an AI to reiterate interpretations from class notes, then confirm with resources.

Explain, sum up, interpret, and compare concepts.

• Sum up: Compose a concise abstract of a podcast episode.
• Paraphrase: Rephrase a thick paragraph to clear up definition.
• Annotate: Add notes that describe motif and proof in a common doc.
• Compare: Build a side-by-side graph of two policies.
• Explain: Tape a brief screencast explaining a process.
• Prompt (clarify): Ask an AI to describe a principle at two grade degrees; cite-check insurance claims.

Usage expertise to execute tasks, solve troubles, or create artefacts.

• Demonstrate: Tape-record a worked instance addressing a square.
• Implement: Run a simulation and report outcomes.
• Model: Build a low-fidelity design in Slides or Canva.
• Code: Compose a short manuscript to transform or verify information.
• Apply rubric: Score a sample item using requirements.
• Fine-tune punctual: Iteratively adjust an AI trigger to satisfy constraints (target market, length, citations).

Damage principles apart, recognize patterns and connections, check out structure.

• Assess: Compare 2 editorials for prejudice utilizing an evidence checklist.
• Organize: Produce a timeline that divides domino effects.
• Identify: Kind insurance claims, evidence, and thinking into classifications.
• Imagine: Build graphes that expose fads in a dataset.
• Trace resources: Verify quotes and attributions back to originals.
• Compare versions: Evaluate 2 AI outcomes on precision and transparency.

Court top quality, validate choices, and defend positions utilizing criteria.

• Critique: Provide evidence-based comments on a peer draft.
• Validate: Fact-check statistics and point out authoritative resources.
• Modest: Assist in a course conversation for relevance and respect.
• A/B review: Test two services and justify the stronger selection.
• Red-team: Stress-test an AI-generated prepare for threats and errors.
• Reflect: Write a procedure note validating strategic selections with criteria.

Synthesize ideas to create original, deliberate job.

• Layout: Plan an item with audience, function, and restraints.
• Compose: Generate a podcast/video discussing a real-world problem.
• Remix ethically: Change public-domain/CC media with acknowledgment.
• Prototype (stereo): Construct a refined artifact and user-test it.
• Chain (AI): Manage multi-step AI jobs (rundown → draft → cite-check → modification) with human oversight.
• Automate: Use simple scripts/AI representatives to simplify a workflow; document restrictions.