{"id":2691,"date":"2026-01-09T17:02:16","date_gmt":"2026-01-09T20:02:16","guid":{"rendered":"https:\/\/sites.ifi.unicamp.br\/maplima\/?page_id=2691"},"modified":"2026-02-11T20:06:52","modified_gmt":"2026-02-11T23:06:52","slug":"prompts-do-que-se-trata-contribuicao-da-chatgpt","status":"publish","type":"page","link":"https:\/\/sites.ifi.unicamp.br\/maplima\/en\/ensino\/f689-2026-mq-com-ia\/prompts-do-que-se-trata-contribuicao-da-chatgpt\/","title":{"rendered":"\ud83e\udd14Prompts: The Art of Inquiry with AI"},"content":{"rendered":"

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There is no \u201ccorrect\u201d way to use AI in this course. There is only analyzable use.<\/strong><\/em><\/div>\n
A prompt<\/i> is how we formulate a question or request to an Artificial Intelligence system. More than a simple command, it expresses a way of thinking: it defines objectives, frames problems, and makes explicit the kind of intellectual engagement we are seeking.<\/div>\n
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In the Quantum Mirror Project, the quality of an AI\u2019s response is fundamentally tied to the quality of the prompt. Vague questions tend to produce generic answers; well-structured prompts favor explanations that are clearer, more contextualized, and pedagogically useful.<\/div>\n
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In this course, prompts are not treated as shortcuts to ready-made answers, but as deliberate cognitive tools<\/b>. They help students organize ideas, articulate uncertainties, test interpretations, and compare different ways of explaining the same concept. In doing so, interaction with AI becomes an exercise in structured reasoning rather than passive consumption.<\/div>\n
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\u2e3b<\/div>\n
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Prompts as Metacognitive Instruments<\/b><\/div>\n
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Using prompts consciously allows students to:<\/div>\n
\u2022 Explore multiple explanatory frameworks for the same concept<\/div>\n
\u2022 Reveal gaps, ambiguities, and limits in their own intuition<\/div>\n
\u2022 Compare their personal mental models with AI-generated reasoning<\/div>\n
\u2022 Transform the AI from an answer engine into a dialogical partner<\/div>\n
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Learning how to formulate good prompts is therefore an integral part of the learning process\u2014especially in a conceptually demanding field such as Quantum Mechanics, where asking the right question is often as important as finding the correct solution.<\/div>\n
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\u2e3b<\/div>\n
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Prompts within the Quantum Mirror Architecture<\/b><\/div>\n
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Within this course, prompts play a central methodological role in the Quantum Mirror Project. They are systematically used to:<\/div>\n
\u2022 Stimulate metacognition<\/b>, encouraging students to reflect on how their understanding evolves<\/div>\n
\u2022 Support S\/C comparison<\/b>, making explicit the contrast between autonomous reasoning (without AI) and AI-mediated reflection<\/div>\n
\u2022 Investigate algorithmic response patterns<\/b>, examining how variations in question formulation affect clarity, depth, and reliability of explanations<\/div>\n
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Throughout the semester, we make available:<\/div>\n
\u2022 Prompts used by the professor<\/div>\n
\u2022 Prompt suggestions and templates for students<\/div>\n
\u2022 Discussions of variations and adaptations, highlighting their pedagogical consequences<\/div>\n
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The objective is not to standardize thinking, but to make the human\u2013AI dialogue explicit, transparent, and auditable<\/b>.<\/div>\n
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\u2e3b<\/div>\n
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Core Principle: The Reflective Interface<\/b><\/div>\n
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Artificial Intelligence does not replace physical reasoning or conceptual mastery. In the Quantum Mirror Project, AI functions as a cognitive interface<\/b>: its responses reflect the clarity, structure, and assumptions embedded in our questions.<\/div>\n
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By critically auditing these reflections\u2014their insights, limitations, and biases\u2014students gain deeper understanding not only of Quantum Mechanics, but also of their own thinking processes.<\/div>\n
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\u2e3b<\/div>\n
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\ud83d\udcd8 Explore the Prompt Library<\/b><\/div>\n
For a curated collection of prompt examples\u2014from introductory to advanced, including thematic variations and comparative analyses\u2014visit our dedicated resource page:<\/div>\n
Prompt Gallery (coming soon)<\/b><\/div>\n
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\u2e3b<\/div>\n<\/div>\n
The prompts presented here are not recommended standards, but documentary examples of a process under investigation. Their effectiveness \u2014 or limitations \u2014 is part of what this course seeks to understand.<\/em><\/div>\n
\u2e3b<\/div>\n
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This project is designed to make errors, distortions, and limitations visible.<\/strong><\/em><\/div>\n<\/div>\n<\/div>\n

<\/p>","protected":false},"excerpt":{"rendered":"

There is no \u201ccorrect\u201d way to use AI in this course. There is only analyzable use. A prompt is how we formulate a question or request to an Artificial Intelligence system. More than a simple command, it expresses a way of thinking: it defines objectives, frames problems, and makes explicit the kind of intellectual engagement … <\/p>\n

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