A quiz should help a person learn. It should not just test what a person knows. Every part of a quiz must support learning.
By Pawan Nayar · from the LLOS AI Learning record
A quiz should help a person learn.
It should not just test what a person knows. Every part of a quiz must support learning.
A quiz is a chance for a person to learn. It helps a person understand new ideas. A good quiz makes every answer feel important. It guides the person, whether the answer is right or wrong. All answer choices must be similar in style. If one choice is a phrase, all choices must be phrases. This stops a person from guessing based on how an option looks. A person should choose an answer based on what it means. Wrong answer choices should seem possible. They should not be silly or clearly wrong. A wrong answer should show why a person might think that way. This helps the quiz understand a person's thinking. Explanations are very important. If a person answers incorrectly, the explanation should be kind. It should gently guide the person to the correct idea. It should not make the person feel bad. If a person answers correctly, the explanation should build confidence. It should confirm the person's understanding. It should also show how the correct idea is used in the real world. Question stems should be short. Answer options should be phrases, not single words. Explanations should be brief and helpful. A quiz should feel like a helpful talk, not a test.
A developer creates a quiz for a language learning app. One question asks about an idiom. The developer makes sure all answer choices are phrases explaining the idiom. The wrong answers are plausible interpretations, not random facts. When a student answers incorrectly, the app explains why the chosen answer is wrong and then clarifies the correct meaning. When a student answers correctly, the app praises the student and gives another example of the idiom's use. The student feels supported and learns more, instead of just getting a score.
More from the same record, pulled by shared topic — not written new for this page.
A developer creates wrong answer choices for a question. Each wrong choice needs a matching explanation.
When a user fails a task, the AI model should offer a hint. The hint must be specific to the sub-task where the user failed.
After a third wrong attempt, the AI model should show a large explanation. Correct parts of the user's answer should turn green.
A new way of writing or a new concept must be shown in an example. The example acts like a teacher.
A quiz should help a person learn. It should not just test what a person knows. Every part of a quiz must support learning.