Learning Data Lab

2022–2023

Description

The Learning Data Lab (LDL) stands as an innovative initiative committed to revolutionizing educational experiences through the strategic use of learning analytics. Our dynamic team is dedicated to constructing a robust infrastructure capable of collecting, processing, and analyzing data from diverse sources, including MOOC platforms and institutional learning management systems.

Integration of ELK and Grafana

The LDL project seamlessly integrates Elasticsearch, Logstash, and Kibana (ELK) stack, along with Grafana, to facilitate a comprehensive approach to data visualization. This amalgamation allows for a holistic view of educational data, sourced from ELK, MySQL, and MongoDB databases, including repositories from both FUN and edX.

Predictive Learning Analytics

The LDL project's research component focuses on Predictive Learning Analytics (PLA), utilizing machine learning algorithms. ELK's real-time search and analytics capabilities play a crucial role in enhancing our PLA efforts, providing deeper insights into student performance patterns.