> For the complete documentation index, see [llms.txt](https://docs.raga.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.raga.ai/ragaai-catalyst/ragaai-metric-library/learning-management-system/difficulty-level.md).

# 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.