Muudle Analytics
A full-stack analytics platform that empowers educators with clear, actionable insights by integrating Moodle data via the data build tool (dbt) and Python automation, featuring a React/TypeScript frontend for streamlined educational data processing and visualization.
Problem statement
Exam data from Moodle is hard to interpret and time-consuming to analyze. Lecturers struggle to identify problematic or unfair exam questions, making it unclear whether exams actually measure the intended learning outcomes.
Project Goal
Our product makes teaching and exam creation easier and more effective for schools and lecturers, saving time, reducing errors, and providing meaningful insights from educational data.
Dashboard Overview
The dashboard overview provides a clear, fast visual breakdown of exam quality and overall student performance at a glance.
Question-level Analysis
The question-level analysis provides detailed performance metrics per question to help lecturers easily identify weak, unfair, or confusing exam questions.
Moodle Exam Upload
The Moodle exam upload functionality allows easy upload and analysis of exams from Moodle to evaluate learning progress and track improvements over time.
Managing and Requesting
Managing and requesting enables lecturers to manage groups and request exams & group joining for analysis, streamlining the process of improving courses and exams based on data-driven insights.
Developed Solution and its benefit
A web-based exam analytics platform for schools that analyzes Moodle exam data to support exam quality and teaching improvement. It transforms raw exam data into clear visual insights focused on fairness, question quality, and learning outcomes.
- Clear, fast analytics that show exam quality and student performance.
- Easy identification of weak or unfair questions.
- Better, data-driven improvements of courses and exams.
- Increases customer retention by adding value to existing Moodle-based services.
- Enables lecturers to analyze exams more efficiently and consistently.
The solution addresses the needs of schools using Moodle, lecturers seeking to improve exam fairness, and IT departments maintaining system stability.
Testimonial
«With Moodle, we have statistics about exams to be able to improve the quality of exams. With the new analytics platform, we can see more helpful statistics, and we can see them as graphs. That allows us to understand them better and more easily. Reading and using the statistics to improve the exams is now closer to fun than to hard work.»
Andrea Kennel (HSI, Customer)
Key terms
- TechnologiesPython, TypeScript, React, SQL
- Frontend StackReact, TypeScript
- Data Pipelinedbt, Python
- PlatformMoodle Integration, Web Application
Customer
FHNW Hochschule für Informatik
Campus Brugg-Windisch
Bahnhofstrasse 6, 5210 Windisch
Customer: Andrea Kennel (HSI)
Hochschule für Informatik | FHNW
Team
Team
(from left to right)
Erik Steinacher
Ben Böhler
Silas Meier
Tim Buser
Maurice Meier
Account Manager, Student Projects
Sibylle Peter