A viewer must not contain fixed teaching text. All teaching text comes from the question data or shared chapter information. If data is missing, the viewer hides the section or disables a button.
By Pawan Nayar · from the LLOS AI Learning record
A viewer must not contain fixed teaching text.
All teaching text comes from the question data or shared chapter information. If data is missing, the viewer hides the section or disables a button.
Viewers should not have fixed hints, feedback, or other teaching text. This content must come from the specific question data. It can also come from shared information at the chapter level. If the data for teaching text is not available, the viewer should hide that part. It should not show a general message instead.
A student is learning English. The AI model gives a sentence: 'Aarav fixed his broken bicycle.' The AI model's viewer tries to give a hint. The hint says, 'Try 'the' test.' But the sentence does not use 'the.' This hint was built into the viewer. It was not based on the actual sentence. The hint is wrong and confusing for the student.
Resolved from this lesson's own record — real definitions, not invented for this page.
More from the same record, pulled by shared topic — not written new for this page.
An AI model can make tasks harder or easier. This is called auto-adjusting difficulty.
Consistent templates make an AI model's output predictable. Users learn where to find information.
An AI model should show a user how to perform key actions. This demonstration must happen before the user can begin.
A developer creates wrong answer choices for a question. Each wrong choice needs a matching explanation.
A viewer must not contain fixed teaching text. All teaching text comes from the question data or shared chapter information. If data is missing, the viewer hides the section or disables a button.