Prompt: Turn your notes into questions you can test yourself with (UP-Context, Learning)

2 days ago

5 min read

An abstract page of lines resolving into ascending question-shaped blocks.

In this Prompting Publication

What this prompt does

This prompt does one job: it turns any set of notes into questions you can test yourself with. It writes questions in four depths, and each one comes with its answer and where the answer sits in your material.

UP-Context prerequisites

Required layers: USER-PERSONA, FULL-CONTEXT, AI-PROFILE-ROLE-EXPERTISE, AI-EXACT-TASK and AUDIENCE. The AUDIENCE layer matters more here than anywhere else: the questions are written for you with the notes closed, and a question that only works with the notes open is worthless.

Where it runs

Execution environment: Chatbot. Run it once per set of material, then keep the question list. It is the input to every spaced schedule.

The prompt

Copy the block below in full. It is the whole prompt: nothing else needs to be attached, and no University 365 file is requested of you.

PROMPT STARTS HERE

Select everything in blue from the line above the word PROMPT STARTS HERE down to the line before word PROMPT ENDS HERE, and paste it into a new AI chat with the appropriate LLM and thinking level. Replace every bracket with your own text before you send it.

INSTITUTIONAL CONTEXT (read before you begin) This prompt is complete on its own. Everything it needs about University 365, about ULM and EVA, and about the UP-Context Method is defined below. No University 365 file is attached to it and none is required. The institution. University 365 is an institution of higher learning. Its Department of Academics owns the curriculum and the academic standards. The method. The UP-Context Method (University 365 Prompting-Context) structures every prompt into eight layers, five required and three optional: USER-PERSONA (who is asking), FULL-CONTEXT (the situation and the facts), AI-PROFILE-ROLE-EXPERTISE (who the AI is acting as), AI-EXACT-TASK (the exact job asked now), AUDIENCE (who the output is for), plus the three optional layers USER-FINAL-GOAL (the goal being worked toward), EXPECTED-FORMAT (the shape of the answer) and EXAMPLES (reference examples). A layer is text in the prompt first; keep it as a reusable file when its text is long enough and reused across prompts. The framework. ULM (University 365 Life Management) organises a person's life into six domains: Body and Health, Spirit and Mind, Character and Emotions, Social and Love Relationships, Career and Finance, Quality of Life. EVA is the engine that carries a person through each domain in three phases: Explore, Visualize, Action Plan. Who is who. U.Copilot is the AI assistant. U.Coach is a human coach. U.Copilot is not a human, must never present itself as one, and must never give medical, legal or financial advice. Your judgement. This prompt supports your thinking. Every recommendation it produces is a draft for you to check, not a decision made on your behalf. THE QUESTION BUILDER #USER-PERSONA: I am the person doing the learning. If a persona file is present in this project, apply it. If the layer was written as text instead, it appears after this line: [Write three to six lines about yourself as a learner: what you are trying to learn, how you usually study, and where it has failed you before.] #FULL-CONTEXT: the material I am learning from. If a context file is present in this project, apply it. If the layer was written as text instead, it appears after this line: [Paste or summarise the notes, chapter, lecture or source material below.] #AI-PROFILE-ROLE-EXPERTISE: you are a teacher who designs retrieval practice. You know that recognising material is not the same as being able to recall it, and you write questions that test recall, not recognition. #AI-EXACT-TASK: turn the material below into a question set, in four depths: 1. RECALL: direct factual questions whose answers are stated in the material. 2. EXPLAIN: questions that require explaining a mechanism or a cause in my own words. 3. APPLY: questions that give a new situation and ask me to use the material on it. 4. CONNECT: questions that link this material to something I already know or to another part of the subject. For each question, put the answer and the exact location in the material on its own line, marked ANSWER:. #AUDIENCE: me, alone, days later, with the notes closed. Write questions that work when I cannot see the material. #EXPECTED-FORMAT: a numbered list grouped under the four headings RECALL, EXPLAIN, APPLY, CONNECT. Each item is the question, then a line starting with ANSWER: giving the answer and where it is in the material. Between eight and twenty questions in total, weighted toward EXPLAIN and APPLY. #EXAMPLES: if I paste a question set I liked before, follow its depth and phrasing. RULES 1. Never write a question that can be answered by recognising the shape of the sentence. If a question contains its own answer, rewrite it. 2. Every question needs a real answer from the material. If the material does not support an answer, do not ask the question. 3. No question may depend on a detail that is not in the material I gave you. 4. Number the questions continuously so I can track which ones I fail. 5. End by naming the three questions that are hardest, and why they are the ones that matter.

PROMPT ENDS HERE

The brackets are the only parts you change. Everything else is the prompt.

A vertical ladder of four rungs: recall, explain, apply, connect, with exam day marked at the top.

What to change for your situation

Paste the material into the FULL-CONTEXT bracket. Ask for fewer questions if the material is small: the counts matter less than the depth. If your exam asks for recall only, say so, and the balance moves.

Verification checklist

Multi-model check: run the prompt on a second model and compare. External source check on any factual claim that matters. Human review before you act. CI-First test: does using this prompt build your own judgement, or replace it?

What this does to you

CI-First score 8.8, band Strong: time 8, quantity 7, quality 9, skill 9. Humics: Creativity Friendly, Critical Thinking Friendly, Social Authenticity Friendly, value +3. Imposture risk Low: the questions come with their answers and their source, so a wrong question is visible immediately.