The 'match' format creates a quiz where a user connects items from two lists. This format does not need an 'interaction_state' because it is a standard quiz type. The 'match' format uses a 'pairs' array to define the items.
By Pawan Nayar · from the LLOS AI Learning record
The 'match' format creates a quiz where a user connects items from two lists.
This format does not need an 'interaction_state' because it is a standard quiz type. The 'match' format uses a 'pairs' array to define the items.
A developer uses the 'match' format ID for a matching quiz. This format is a native quiz type. It does not need extra settings for user interaction. The developer provides a list of pairs. Each pair has a 'left' item and a 'right' item.
A teacher wants to create a quiz for students. The quiz asks students to match countries to their capitals. The teacher tells the AI model to use the 'match' format. The teacher provides a list of pairs like 'France' and 'Paris', 'Japan' and 'Tokyo'. The AI model then creates the matching quiz.
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A developer uses scripts to build different question types. Each script focuses on a specific kind of question.
An AI model uses the `crossword` format ID. This format is a native quiz type.
An AI system can organize its knowledge into three levels. Level 1 holds basic information like names or words.
An AI model should first decide on the correct answer. After that, the model should write the rules that lead to this answer.
The 'match' format creates a quiz where a user connects items from two lists. This format does not need an 'interaction_state' because it is a standard quiz type. The 'match' format uses a 'pairs' array to define the items.