Recall
Set 1: Quick Check
Recognize research questions, source packets, extraction tables, assumptions, and evidence boundaries.
AI-Assisted Research, Analysis, and Decision Support
Use research plans, source packets, structured extraction, comparisons, assumptions, and bounded recommendations.
Start Chapter PracticeChapter plan
What you will be able to do
- Define a bounded research question, evidence criteria, decision owner, and source plan.
- Use consistent extraction fields with source locations and visible missing information.
- Reproduce calculations and separate verified evidence from assumptions or model suggestions.
- Present options and a recommendation that remain within the evidence boundary.
- Study time
- 27–35 minutes, self-paced
- Course
- AI Literacy for Work (Beginner)
- Practice order
- Four sets, completed in sequence
Chapter practice
Practice in chapter order
10 activities · 80% mastery target
Start set 1
Guided application
Set 2: Core Practice
Run bounded research, select quality controls, and repair stale, unequal, missing, or miscalculated evidence.
Hands-on
Set 3: Workplace Task
Review a vendor-comparison gap and evaluate evidence for a weekend-support recommendation.
Independent check
Set 4: Mastery Check
Assemble a decision brief and complete an accountable research handoff.