OpenLab in Learning Analytics

Overview

is a research-driven approach that emphasizes openness, transparency, and inclusivity. It goes beyond traditional analytics by focusing on collaboration, co-design, and interoperability across educational environments.

---

Core Principles of Open Learning Analytics (OLA)

Open Learning Analytics is structured around four key dimensions:

1. What? – Data, environment, and context.
2. Who? – Stakeholders involved (learners, educators, institutions).
3. Why? – Objectives and purposes of analytics.
4. How? – Methods, models, and techniques applied.

These principles aim to foster lifelong learning environments and transparent, reusable, and collaboratively-developed analytics solutions.

Architecture

Backend

1. Spring Boot: Main framework for building the backend REST API, dependency injection, and application configuration.
2. Spring Data MongoDB: For data persistence with MongoDB.
3. JWT (java-jwt): For authentication and authorization.
4. JUnit: For unit testing.

Frontend

1. React: Main library for building the user interface.
2. MUI (Material-UI): For UI components and icons.
3. ESLint: For code linting and style enforcement.

Group Members

• Muthna Jasim (ISE CE)
• Karim Emara (ISE CE)
• Ali Abdul Nabi (WI M)
• Salma Sbaghi (Komedia B)
• Medina Lekiqi (Komedia B)
• Fatima Sharaf (AI B)
• Luca Zemek (AI M)

ScreenShots

📷Screenshots of Features and Fixes

Live demo video

(https://drive.google.com/file/d/11mhBNs0pu9Wd_z1-a5FkekayFCxWOjBh/view?usp=sharing)