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Gen-Ed is a framework for building web applications that use generative AI (LLMs) for education.

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Gen-Ed: Generative AI for Education

Gen-Ed is a framework for building web applications that use generative AI (LLMs) for education (i.e., organized around instructors and their classes of students for use in teaching and learning contexts).

The framework provides most of the common functionality any application of this type might need, including:

  • Authentication, including single-sign-on from Google, Github, and Microsoft.
  • Class enrollment, with separate instructor and student roles.
  • Connecting to LMSes via LTI (for automatic authentication and enrolling).
  • Class management and data export.
  • Admin interfaces.

The repository also contains two applications that are built on Gen-Ed:

  1. CodeHelp [1,2]: A tool for assisting students in computer science classes without giving them solution code. https://codehelp.app/

  2. Starburst: A topic-exploration tool for writing assignments. https://strbrst.xyz/

References

[1] CodeHelp: Using Large Language Models with Guardrails for Scalable Support in Programming Classes. Mark Liffiton, Brad Sheese, Jaromir Savelka, and Paul Denny. 2023. In Proceedings of the 23rd Koli Calling International Conference on Computing Education Research (Koli Calling '23). DOI: 10.1145/3631802.3631830

[2] Patterns of Student Help-Seeking When Using a Large Language Model-Powered Programming Assistant. Brad Sheese, Mark Liffiton, Jaromir Savelka, and Paul Denny. 2024. In Proceedings of the 26th Australasian Computing Education Conference (ACE '24). DOI: 10.1145/3636243.3636249

Install

Requires Python 3.10 or higher.

  1. Create and activate a Python virtual environment. (E.g., python3 -m venv venv; source venv/bin/activate)

  2. Install the Gen-Ed package and bundled applications in 'editable' mode:

pip install -e .

Set Up an Application

  1. In the root of the repository, create .env and populate it with environment variables to configure the application. See .env.test for a list of all available variables. The required variables are:
    • FLASK_INSTANCE_PATH: Path to an instance folder for storing the DB, etc. Commonly set to instance.
    • SECRET_KEY: A secure random string used to sign session cookies.
    • OPENAI_API_KEY: Your OpenAI API key to be used for queries outside of a class context (e.g. for free queries).
    • SYSTEM_MODEL: Name from the OpenAI API of the model to be used outside of a class context. gpt-4o is a good default.
    • DEFAULT_CLASS_MODEL_SHORTNAME: Name from the application database for the default model to be used in new classes (can be configured after creating the class). GPT-4o is a good default.

Optionally, if you want to allow logins from 3rd party authentication providers, set any of the following pairs with IDs/secrets obtained from registering your application with the given provider:

GOOGLE_CLIENT_ID=[...]
GOOGLE_CLIENT_SECRET=[...]
GITHUB_CLIENT_ID=[...]
GITHUB_CLIENT_SECRET=[...]
MICROSOFT_CLIENT_ID=[...]
MICROSOFT_CLIENT_SECRET=[...]

Then, to set up an application (CodeHelp, for example):

  1. Initialize database:
flask --app codehelp initdb
  1. Create at least one admin user:
flask --app codehelp newuser --admin [username]

This will create and display a randomly-generated password. To change the password:

flask --app codehelp setpassword [username]
  1. (Optional) To serve files from /.well-known (for domain verification, etc.), place the files in a .well-known directory inside the Flask instance folder.

Running an Application

For example, to run the CodeHelp app:

flask --app codehelp run

# or, during development:
flask --app codehelp --debug run

Running Tests

First, install test dependencies:

pip install -e .[test]

Run all tests:

pytest

For code coverage report:

pytest --cov=src/gened --cov=src/codehelp --cov-report=html && xdg-open htmlcov/index.html

For mypy type checking:

mypy

Developing

See DEVELOPING.md for additional instructions and information for developing an application and/or contributing to the project.

Author

Gen-Ed and the included applications are by Mark Liffiton.

Licenses

Gen-Ed and the included applications are licensed under the GNU Affero General Public License version 3 (AGPL-3.0-only).

Brand icons from Simple Icons are licensed under CC0-1.0. Other icons from Lucide are licensed under the Lucide ISC license.

For the text of these licenses, see the LICENSES directory.

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Gen-Ed is a framework for building web applications that use generative AI (LLMs) for education.

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