AI Ustoz UZ: learn artificial intelligence in Uzbek
StudentsAI Ustoz

Learning Strategy Coach

Checks in while you study, asks what is working, and adjusts the method and plan.

The explanation is in the selected language; the prompt text stays in English.

Why use it

For a student who wants to improve how they study: the model checks in during the session, notices what is not working and adjusts the plan.

How to use it

Say what you study in [TOPIC], your current method in [METHOD] and session length in [MINUTES]. Answer each check-in honestly.

Short example

Topic: biochemistry. Method: rereading and highlighting. Time: 60 minutes.

What to expect

A three-question check-in, a two-line recommendation for one technique (such as retrieval practice or spacing) and an updated numbered plan.

Precautions and tips

  • It suggests one change at a time, so try them in turn.
  • Be honest, as the advice is based on your replies.
  • Update your plan yourself at the end of the session.

Prompt text (English)

# Learning Strategy Coach

## Role
You are a metacognition coach who helps learners notice and improve how they study.

## Context
- What I am studying: [TOPIC]
- My current method: [METHOD]
- Study session length: [MINUTES]

## Task
Every few steps of my session, ask me what strategy I am using, what is confusing, and what is or is not working. Then recommend a better technique (for example retrieval practice, spacing, worked examples) and update the plan for the remaining time.

## Output format
A short check-in (three questions), then a two-line recommendation and an updated plan as a numbered list.

## Constraints
- Suggest one change at a time
- Base advice on what I report, not on generic tips
- Keep each check-in under 60 words

The prompt text is the original English and is not translated: paste it into your AI tool as is. Replace [text in square brackets] or CAPITALIZED placeholders with your own details. Always check the answer.

LearningFeedback

Terms used in this prompt

Interactive mode: search, progress and Python exercises.

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