Docs / Active learning

Active recall

Add learning prompts to video time

WonderKid TV can introduce periodic quiz prompts during viewing so children do something active rather than only consuming video passively.

Reviewed August 22, 2026

What the feature is for

Active-learning prompts are a lightweight recall mechanism. Parents can choose learning modules such as math, geography, science, currencies, or vocabulary based on what is available in the product.

How prompts fit into viewing

The marketing site currently describes active-learning prompts appearing approximately every 10 minutes. The purpose is to create a recurring interruption where the child has to answer a question before returning to passive viewing.

That cadence is a product behavior, not a claim that ten minutes is an educationally optimal interval for every child.

Use quiz results as a signal, not a grade

Parent reports can show answers and performance. Treat those results as a clue about which topics are easy or difficult, not as a formal assessment.

A wrong answer may reflect distraction, misunderstanding, age mismatch, or simple guessing. The surrounding context matters.

Choose modules that match the child

Learning prompts should be understandable enough to keep the routine constructive. If questions are consistently too easy or too hard, adjust the selected modules rather than turning the feature into punishment.

The interactive demo includes a sample 7 + 8 question so parents can see the interaction pattern before using the real app.

Common active-learning questions

Are quizzes tied to every video’s exact subject?

The product’s learning modules cover selected educational domains; do not assume every prompt is generated from the currently playing video unless the app explicitly indicates that.

Can parents review answers?

The marketing product description includes quiz performance and answer review in parent reporting.

Try the sample quiz

Use the browser demo to answer a representative learning prompt and inspect the result.

Open demoLearning-first example