ALITA - ArtificiaL Intelligence Teaching Assistant Due to the increasing demand of TAs and budget cuts, it is becoming increasingly hard to manage grading and instruction. ALITA helps with content curation, scheduling, grading and question answering.

Demo

https://youtu.be/fwCECsGVD_w

Installation

To install:

• Clone this repo
• Install virtualenv. You can do brew install virtualenv on a mac or pip install virtualenv or apt-get install python-virtualenv
  • If brew cannot find virtualenv, use brew install pyenv-virtualenv.
• Create a virtualenv with virtualenv -p python3 env
• Activate the virtualenv with source env/bin/activate
• (Optional, but recommended) Install redis-server. You can do brew install redis on a mac or apt-get install redis-server

Local Server

To run the server locally:

$ source env/bin/activate # for virtualenv
$ pip install -r requirements.txt  # to install libraries
$ ./manage.py createdb
$ ./manage.py seed
$ ./manage.py server

The server will listen on http://localhost:5000.

If you are running into issues - see documentation/SETUP.md or file an issue

Running Workers

To run workers locally:

$ ./manage.py worker

To be able to run the workers you should have a redis server installed and running.

If redis is not installed you can install it using your distribution's package manager or follow Redis Quick Start.

Server Development

The server is developed in Python 3.5+ using Flask.

Core Features

Backup Maintenance

• Best-effort maintenance of student backups that occur when ALITA is run.

Composition Grading

• Allow staff to comment on student composition of projects and assign grades.

Autograding

• Automatic grading of student submissions