An activity is not evidence of learning: practical exercise
Turn participation into observable learning evidence. Use individual responses, a data-checking exercise and an exit task aligned with your learning objective.
Choose learning activities that measure your objective
Choose learning activities by the evidence they produce. Use four questions, three practical cases and a short check of individual work and assessment criteria.
Observable learning objectives: five practical rewrites
Rewrite vague learning objectives as observable actions. Explore five examples, the evidence to collect and a quick clarity check before asking AI for a plan.
Training briefs: 5 questions before using AI | DocPilotIA
Clarify learners, outcomes, constraints, practice and assessment before asking AI for a training plan. A fictional 45-minute example and a reusable brief.
Align objectives, activities and assessment | DocPilotIA
Check that learning objectives, practice and assessment require the same task. A four-part matrix and fictional example help you plan an aligned course.
A 45-minute session with AI: a worked example | DocPilotIA
Build a 45-minute training session with an observable outcome, practice and individual assessment. A fictional worked example with five review checks.
Learning with AI: a practical six-step method | DocPilotIA
Use AI actively to understand, practise and revise. Six steps, examples and reusable prompts help students, apprentices and professionals check their learning.
Create teaching materials with AI: a 7-step method
Create teaching materials with AI using seven practical steps: objectives, prerequisites, progression, explanations, activities, summaries and final checks.
Create a Technical Course with AI: A Method | DocPilotIA
Create a technical course with AI using a clear learning brief, structured plan, practical activities and aligned assessment, with essential human checks.