Difficulty Level

Measure difficulty levels in LMS tasks. Balance AI-generated questions for fairness and learner growth.

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Objective: The Difficulty Level Test calculates the Flesch-Kincaid Grade Level of a text, which indicates the number of years of education generally required to understand the text. This metric helps in assessing the readability and complexity of the content.

Required Arguments:

• Prompt: The initial input or question provided.

• Response: The text generated by the model that is being evaluated for difficulty.

Score Range: Typically corresponds to U.S. grade levels, with higher scores indicating more complex text.

Interpretation: A higher Flesch-Kincaid Grade Level score suggests that the text is more complex and may require a higher level of education to understand, while a lower score indicates that the text is easier to read and more accessible to a broader audience.