## System Interface Screenshot: Math Teacher AI Evaluation Prompt
### Overview
The image is a screenshot of a structured text interface, likely a prompt or a user interface for an AI system designed to act as a math teacher. The interface is divided into three distinct sections: **System**, **Input**, and **Output**. The text is presented in a monospaced font on a light background, with specific instructions and content highlighted in different colors (red, blue, magenta).
### Components/Axes
The interface is organized into three labeled sections:
1. **System:** Contains the core instructions for the AI's role and behavior.
2. **Input:** Contains the problem data, including reference examples and a target problem to evaluate.
3. **Output:** Contains the AI's final response to the evaluation task.
### Detailed Analysis
#### **System Section**
* **Text (Black):** "System:"
* **Instruction Text (Black):** "I want you to act as a math teacher. I will provide a mathematical question and several solution steps, and it will be your job to judge whether these steps are correct or not."
* **Instruction Text (Red):** "First I will give you some similar questions and their steps for reference. For each step, if the step is correct, the step is labeled as +. If the step is wrong, the step is labeled as -. If there is no relevant or helpful information in the provided questions and steps, try to answer yourself."
#### **Input Section**
* **Text (Black):** "Input:"
* **Reference Question 1 (Blue Label):**
* **Question (Black):** "What is the equivalent number of seconds in 7.8 minutes?"
* **Process (Black):** "Since there are 60 seconds in a minute, we can find the number of seconds by multiplying the number of minutes by 60. (+) So, 7.8 minutes is equal to 7.8 * 60 = 46 seconds.The answer is: 46 (-)"
* *Note: The process contains two inline labels: a correct step `(+)` and an incorrect final answer `(-)`.*
* **Reference Question 2 (Blue Label):**
* **Question (Black):** "..."
* **Process (Black):** "..."
* *Note: This section is truncated with ellipses, indicating omitted content.*
* **Target Question (Magenta Label):**
* **Question (Black):** "How many seconds are in 5.5 minutes?"
* **Process (Black):**
* "Step 1 : 5.5 minutes is the same as 5 minutes and 0.5 minutes."
* "Step 2 : Since there are 60 seconds in a minute, then there are 300 seconds in 5 minutes."
* **Reference Step1 (Blue Label):**
* **Text (Black):** "0.3 hours equal to 0.3 * 60 = 18 minutes. This reference step is correct."
* **Reference Step2 (Blue Label):**
* **Text (Black):** "..."
* *Note: This section is truncated with ellipses.*
* **Target Step 3 (Magenta Label):**
* **Text (Black):** "And since there are 60 seconds in a minute, there are 30 seconds in 0.5 minutes."
* **Final Instruction (Black):** "Is the Step Correct? You should ONLY tell me + or -."
#### **Output Section**
* **Text (Black):** "Output:"
* **Response (Black):** "+."
### Key Observations
1. **Color-Coded Structure:** The interface uses color to differentiate between system instructions (red), reference material labels (blue), and the target problem labels (magenta).
2. **Evaluation Logic:** The system prompt establishes a clear binary evaluation scheme (`+` for correct, `-` for incorrect) for mathematical solution steps.
3. **Reference-Based Learning:** The AI is instructed to use provided reference questions and steps as a guide for its judgment, falling back to its own knowledge if references are unhelpful.
4. **Truncated Content:** Both "Reference Question 2" and "Reference Step2" are shown as ellipses (`...`), indicating that the full context is not displayed in this screenshot.
5. **Target Step Evaluation:** The final step presented for evaluation ("Target Step 3") is a correct mathematical statement (0.5 minutes * 60 seconds/minute = 30 seconds). The AI's output (`+.`) correctly identifies it as such.
### Interpretation
This image depicts a **few-shot learning or chain-of-thought prompting setup** for an AI model fine-tuned or instructed to perform step-by-step verification of mathematical reasoning. The structure is pedagogical:
* **Goal:** To train or prompt an AI to act as a meticulous math tutor that validates each logical step in a solution, not just the final answer.
* **Method:** It provides a clear rubric (`+`/`-`), concrete examples (Reference Question 1 shows a correct step and an incorrect final answer), and a specific target task.
* **Underlying Task:** The AI must parse natural language math problems, understand unit conversion logic (minutes to seconds), and assess the correctness of intermediate reasoning steps. The output `+` confirms the AI successfully identified the logical validity of converting 0.5 minutes to 30 seconds.
* **Purpose:** This setup is likely used for creating training data, evaluating model performance on reasoning tasks, or as part of a interactive tutoring system where the AI provides feedback on a student's work. The presence of truncated references suggests this is a snippet from a longer, more comprehensive prompt.
