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VisualCodeMOOC is an interactive learning platform that integrates a conversational agent, VisualCodeChat, to help students understand algorithms and data structures.

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VisualCodeMOOC

Table of Contents

  1. Overview
  2. Key Features
  3. Installation
    1. VisualCodeMOOC
    2. VisualCodeChat
  4. Usage and Examples
  5. Contributors
  6. License
  7. Acknowledgements

Overview

This repository contains the source code for the project VisualCodeMOOC, as described in the paper "VisualCodeMOOC: Programming Course Platform Integrating a Conversational Agent for Enhanced Learning Through Dynamic Visualizations", submitted to the SoftwareX journal.

VisualCodeMOOC is an interactive learning platform that integrates a conversational agent, VisualCodeChat, to help students understand algorithms and data structures. It offers personalized guidance within a MOOC environment by combining visualizations and hands-on exercises, enhancing the learning experience with interactive and engaging content.

Check our deployed version at VisualCodeMOOC

description

Key Features

  • Dynamic Visualizations: Real-time interactive visualizations of algorithms and data structures based on randomly created examples during conversations, to help students understand the concepts better.
  • Personalized Guidance: Conversational agent provides personalized guidance and support to students.
  • Hands-on Exercises: Interactive exercises to practice and apply the concepts learned.
  • MOOC Integration: Seamless integration with MOOC platforms to provide a complete learning experience.

Installation

VisualCodeMOOC

  1. Install Material for MkDocs
    You may install Material for MkDocs with pip (recommended), ideally using a virtual environment.

    pip install mkdocs-material
    

    You can also use docker or git to download Material for MkDocs.

  2. Run the site on local machine
    Open the code file, switch to your virtual environment, you can run the site on your local machine with:

    mkdocs serve
    

VisualCodeChat

  • Requirements NodeJS >= 18 Docker >= 20
  1. Install Node.js and Yarn Ensure that both Node.js and Yarn are installed on your local machine. These tools are required to manage dependencies and run the development server.

  2. Configure Environment Variables Create and configure a .env.local file in the project root directory with the necessary environment variables. This file will store local configurations for development purposes.

    OPENAI_API_KEY=<your api key here>
    
  3. Install Dependencies and Start Development Server Run the following commands to install project dependencies and start the local development server:

    yarn install
    yarn dev
    

    This will initialize the project and launch the server in development mode.

Usage and Examples

Usage guide

You can learn algorithms in VisualCodeMOOC by following the below procedure:

  1. Start with tutorial and short video lecture to get basic understanding of a topic
  2. Chat with VisualCodeChat VisualCodeChat will give:
    • English explanation
    • Step-by-step explanation with visualization
    • Code learning
    • Practice testing
  3. Try extra exercises

Scenarios

While chatting with VisualCodeChat, user may meet the following four phases. Example scenarios are shown in the screenshots:

  1. VisualCodeChat welcome
  2. Adaptive teaching

description

description

  1. Interactive learning

description

5. Completion of the learning

Contributors

  • Mingyuan Li
  • Duan Wang
  • Erick Purwanto
  • Thomas Selig
  • Qing Zhang
  • Hai-Ning Liang

License

This project is licensed under the MIT License - see the LICENSE.md file for details

Acknowledgements

This work is supported by the research funds XJTLU RDF-22-01-062, TDF2223-R26-219, TDF2324-R27-230, RC4AIED202406, and AoFE Implementing Computational Thinking Education in K‑12 and Higher Education Special Interest Group. We would like to thank the STEAM Centre, Ulink College of Suzhou Industrial Park for their support.

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VisualCodeMOOC is an interactive learning platform that integrates a conversational agent, VisualCodeChat, to help students understand algorithms and data structures.

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