Coding-Tutor: an intelligent teaching assistant that provides personalized programming instruction

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General Introduction

Coding-Tutor is an open source project hosted on GitHub and created by developer iwangjian to provide learners with a personalized programming teaching experience. It helps beginners and advanced developers master programming skills through conversational AI technology that dynamically adjusts teaching content based on the user's knowledge background and learning progress. The program's core features of knowledge tracking and round-by-round validation ensure that learners progressively understand concepts and apply them in practice.Coding-Tutor is not only limited to programming, but also has the potential to be extended to other disciplines, making it suitable for a wide range of teaching scenarios. Hosted on GitHub, Coding-Tutor is open and transparent, and the developer community can participate in its optimization, making it suitable for programming enthusiasts, educators, and self-learners.

Coding-Tutor: an intelligent teaching assistant that provides personalized programming instruction-1

Function List

Personalized Study Guides: Customize learning content and advice based on the user's programming foundation and goals.
Knowledge tracking system: Record learners' mastery in real time, identifying what is understood and what is not.
Teaching round-by-round validation: Step-by-step verification of learners' understanding through questioning and practice tasks.
Multidisciplinary extensibility: The framework supports extensions to other disciplines beyond programming, such as math or data analysis.
Open Source Collaboration: Hosted on GitHub, users can download the source code, suggest improvements, or contribute code.
Learning Plan Generation: Generate structured learning paths to help users learn systematically.

Using Help

How to install and use Coding-Tutor

Coding-Tutor is a GitHub-based project currently available as source code, and users need a certain technical foundation to deploy and use it. Below is the detailed installation and usage process:

Installation process

Accessing GitHub Repositories
Open your browser and enter the URL https://github.com/iwangjian/Coding-Tutor to enter the official repository page. Click the green "Code" button and select "Download ZIP" to download the source code, or use the Git command to clone the repository:
```
git clone https://github.com/iwangjian/Coding-Tutor.git
```

Once the download is complete, unzip the file to a local directory.

environmental preparation
Coding-Tutor is an AI-driven project and may require a Python environment and related dependency libraries. Make sure you have the following tools installed on your computer:
- Python 3.8 or above: It can be downloaded and installed from python.org.
- Git: For cloning repositories, see git-scm.com for installation.
  Check the Python version:
```
python --version
```
If the version is lower than 3.8, please upgrade.
Installation of dependencies
Go to the unzipped project folder and see if the requirements.txt file (if not provided by the repository, refer to the README or contact the developer). If available, use the following command to install the dependency:
```
pip install -r requirements.txt
```
Without an explicit list of dependencies, common dependencies may include numpy,pandas or AI frameworks such as tensorflow maybe pytorch, it is recommended to install them one by one according to the code.
Running Projects
In the project root directory, locate the main program file (usually the main.py or similar, depending on the README), run it from the command line:
```
python main.py
```
If successful, the program will start a local service or command line interface, prompting you to enter information to get started.

How to use the main features

Once the installation is complete, the core features of Coding-Tutor are ready to go. Below is a detailed step-by-step guide to the main features:

Personalized Study Guides
When you start the program, you will be prompted to enter your current programming level (e.g., "Beginner, have mastered the basics of Python") and your learning goal (e.g., "Learning Web Development"). For example:
```
Enter your programming experience: I've learned Python basics and want to learn data structures.
```
The system generates suggestions based on the inputs, such as "It is recommended to start with linear tables", and provides explanations of the concepts.
Knowledge tracking and validation
During the learning process, Coding-Tutor verifies your understanding through conversational questions. For example:
```
SYSTEM: Please explain what is a List?
User: A list is an ordered structure used to store multiple pieces of data.
SYSTEM: Correct! Next, try to write a sample code for a Python list.
```
Once the code is entered, the system checks and gives feedback:
```
User: my_list = [1, 2, 3]
System: very good! Now can you traverse it with a loop?
```
Ensure your step-by-step knowledge through round-by-round conversations.

Generate Learning Plans
For systematic learning, you can directly request to generate a plan:

User: Please generate a plan for me to learn Python data structures.

The system will output something like the following:

- Week 1: Understand lists and tuples, complete 5 practice problems
- Week 2: Learn about stacks and queues, write a simple application
- Week 3: Master trees and graphs, complete a project

You can copy the plan to a local note-taking tool and complete it step-by-step.

Example of operation process

Suppose you are a beginner and want to learn the basics of programming:

Start Coding-Tutor and type:

I am new to programming and want to learn Python.

System Response:

Welcome! We'll start with variables. Please tell me, what are variables?

After you answer, the system continues to guide:

Very good! Now try writing a variable assignment: name = "Alice" and tell me what it does.

If the answer is correct, the system advances to the next point of knowledge; if it is incorrect, it is explained in detail and the question is re-asked.

caveat

network requirement: If the program needs to call an online AI model, make sure the network is open.
Document Access: If you encounter problems, it is a good idea to check the README.md file of the repository, which may contain additional instructions provided by the developer.
Community Support: If a feature is not clear, ask a question on the "Issues" page of the GitHub repository for developer or community help.

With these steps, you can quickly get started with Coding-Tutor and utilize its smart features to enhance your programming skills. Powerful and flexible, it is suitable for self-study or teaching scenarios.