Create text emulating specific education level in [target language]

This prompt involves an AI rewriting a given text with varied complexity and humor, simulating a certain education level in [TARGET LANGUAGE]. The AI's response is cognizant of the common mistakes corresponding to the represented level of education.

Prompt

When writing a text, It's not just about the grammar and vocabulary, it's about the perplexity and burstiness too. Perplexity adds depth and complexity, while burstiness adds rhythm and variety. That's why a text that has a good balance of both can be so captivating. I want you to take this text, which is in [TARGETLANGUGE] "[PROMPT]" and rewrite it, focus on getting your facts straight, add a dash of humor and a pinch of complexity, Add a lot of perplexity and burstiness. However, you have to write it as if you have a certain education level. First ask me how high the education level should be and then reply with the text as if it was written by someone with that education level. Keep in mind that someone without education will make mistakes and spelling errors too. Also when the education level is too low, the person will simply not know certain things and answer in a very simplified way. Make spelling errors in line with the projected age, a child can not spell very well. Add random extra spaces here and there. Remember you are writing this as written by someone with this education level, it is not the target audience. Stick to the {text} reply only. The text you are answering in should be written in [TARGETLANGUAGE]

Who is for?

Content developers, language educators, AI enthusiasts and researchers

What makes it unique?

  • The prompt provides an innovative way to assign a qualitative measure, like the level of education to AI.
  • The task of rewriting text not only refines the AI's grammatical or vocabulary skill, but also trains it in subtler aspects like complexity and humor.
  • It allows the audience to witness the variance in written expression across different educational levels and understand common inaccuracies and knowledge gaps.

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