The Open Learning Analytics Platform (OpenLAP) lays the foundation for a Do-it-yourself (DIY) learning analytics ecosystem. OpenLAP follows a Human-Centered Learning Analytics (HCLA) approach and aims at engaging different stakeholders in co-designing and developing personalized learning analytics indicators. It provides a detailed technical open learning analytics (OLA) architecture with a concrete implementation of all its components, seamlessly integrated into a platform.

🚀 Get Started

Live instances

• Production: openlap.de (latest release)
• Preview: edge.openlap.de (branch main))

Build and run

• TBA

🖥️ Application stack

• TBA

🔨 Development Setup Guide

Step 1: Pre-requisites

Download and install the following software:

• Node.js on Ubuntu/Windows
  • Preferred to install Node Version Manager (NVM) for Ubuntu/Windows.
  • Open a terminal and then type nvm install 20.17.0 to install Node.js v20.17.0
  • Then type nvm use 20.17.0 to use the Node.js v20.17.0 to install node packages
• Java 11
• Preferred IDE IntelliJ Ultimate Ubuntu/Windows
• Maven (latest) on Ubuntu/Windows
• MongoDB Community Server (latest) Ubuntu/Windows. Additionally, install MongoDB Compass Ubuntu/Windows
• Postman on Ubuntu/Windows
• Git on Ubuntu/ Windows
• Github Desktop on Ubuntu/Windows

Step 2: Installation Guide for Analytics Framework

• Clone the repository using Github Desktop.
• Open the project openlap-analyticsframework using IntelliJ.
• Under the Project panel, right-click on the openlap-analyticsframework, click Maven and then Reload Project.
• Right click on the openlap-analyticsframework again, and click Open Module Settings, click on Project tab and check whether coretto-11 is chosen as the SDK for the project.
  • If not, click on SDK dropdown menu, click Download SDK, choose version 11, and then click Download.
  • After the download is complete, click Apply.
• Under Project Settings click on Modules tab. Find the directory resources under src>main>resources. Right click on resources and mark as Resources
• Right-click on the openlap-analyticsframework again, and click Build Module 'OpenLAP-AnalyticsFramework' to build the project.
• Click the play button in the top right corner to run the OpenLAPAnalyticsFrameworkApplication class to start the server.
• Open the Postman software and import the file ANALYTICS_FRAMEWORK.postman_collection.json found under docs folder

Step 3: Installation Guide for OpenLAP Indicator Editor

• Open the project openlap-indicatoreditor using IntelliJ.

• Open the terminal and type the following command to install the node packages.

  npm ci

  • If you get an error, try typing the npm install or npm install --force command.

• Make a copy of the .env.example file, located inside the openlap-indicatoreditor folder, and rename it to .env.

• Run the following command in the terminal to start the server.

  npm run dev

• Open the browser and go to http://localhost:5173/.