gristow/adaptive-engine

ALOSI adaptive engine

adaptive-engine

About

The ALOSI adaptive engine is a web application that powers the recommendation of learning resources to learners based on real-time activity. This application is designed to be used with the Bridge for Adaptivity, which handles the serving of activities recommended by the engine.

Contents

This repository contains the Django web application code, and related documentation/writeups for the adaptive engine.

Folder contents:

• app/ - Adaptive engine web application (python/django) code
• data/ - data for engine initialization and data processing/transform scripts
• monitoring/ - terraform files for setting up cloudwatch alarms on an elastic beanstalk deployment
• python_prototype/ - python prototype for adaptive engine
• r_prototype/ - R prototype for adaptive engine
• tests/ - Testing scripts, including load testing with Locust
• writeup/ - Writeup and LaTeX files to generate the document

Getting started

• Web application folder and documentation
• Theoretical overview of the recommendation engine algorithm

Related projects:

• alosi library: Python package for recommendation engine algorithm utilities, and APIs for ALOSI Bridge and Engine (https://github.com/harvard-vpal/alosi)
• Bridge for Adaptivity: Application that handles serving of content recommended by this and other engines (https://github.com/harvard-vpal/bridge-adaptivity)