AI in assessment, coaching and analytics
Step 1 / 3·Adaptive assessment and practicing with AI
0/3 steps done
Learning objectives — after this module you will:
- Understand adaptive assessment and path personalization
- Design practice exercises with AI roleplay
- Use learning analytics for early warning
Adaptive assessment and practicing with AI
Grasp the two applications that change the learning experience most.
ADAPTIVE: instead of everyone taking the same linear curriculum, the system tests at entry and adjusts — skim quickly through what you're strong at, drill deeply where you're weak. Learners save 30–50% of their time, and the organization saves on learning-hour cost (remember fully-loaded cost from Course 5: learner time is the biggest line item).
AI ROLEPLAY COACH: conversation skills (sales, giving employee feedback, handling complaints) could historically only be practiced in class at high cost and few repetitions. Now learners roleplay with AI playing a difficult customer or a defensive employee — practicing 20 times instead of 2, getting instant rubric-based feedback, making mistakes in a safe environment before facing a real person. This is the biggest change to the '10' and '70' of 70-20-10 since e-learning appeared.
The rubric is the soul
AI roleplay is only as good as the rubric: which behaviors are scored, on what scale, with what exemplars — exactly the behavioral indicators you learned in Level 2. AI doesn't replace your expertise; it REPLICATES your expertise across thousands of practice sessions.
Key takeaway: Adaptive saves learning time; AI roleplay replicates practice opportunities — both run on the rubric you design.