Speakers
Sebastian Gombert
DIPF, GermanyGianluca Romano
Leibniz Institute for Research and Information in Education - DIPF, GermanyGeorge-Petru Ciordas-Hertel
DIPF | Leibniz Institute for Research and Information in Education, GermanyHendrik Drachsler
Leibniz Institute for Research and Information in Education - DIPF, GermanyStart
18/05/2024 - 09:00
End
18/05/2024 - 10:30
From learner behavior to big data: How to implement and scale Learning Analytics infrastructures in the cloud
Saturday 18/05 09:00-10:30h
Workshop Space B
Needs Analysis
Collecting data is a crucial part of better understanding learning processes, e.g. critical online reasoning skills. To unravel information hidden in data, having a robust and scalable infrastructure for collecting learner data is critical to make robust and significant findings. Modern cloud solutions such as Microsoft Azure offer many services which enable the implementation of such an infrastructure. In our workshop, participants will learn how to implement a Learning Analytics infrastructure in the cloud. In the workshop, we will work with an authentic example developed. This facilitates the development of technical solutions, allowing candidates to focus on their research interests while still being able to collect data on a large scale.
Learning Objectives
The participants will learn how to set up learning analytics infrastructure in the cloud. For this purpose, we will use an authentic piece of software which is aimed at collecting data on browsing behavior to gain insights into critical online reasoning skills. Specifically, participants will learn:
- How do I manage users in Azure?
- How do I deploy Docker Container Apps in Azure?
- How do I conduct data collection?
- How do I retrieve the data from Azure?
- How can I apply it for my use cases?
Pre-activities
Participants should bring a laptop with them and have an active Microsoft account.
Session Description
We will demo the steps required to set up the environment in the cloud, collect data, and retrieve data. During the demo, we halt and ask participants to interact in group work and discussion. Before resuming the demo, participants need to present their outcomes.
- Introduction to Azure (no advertisement): 15 min
- Interactive Demo: 45 min
- Interactive Workshop Summary: 15 min
- Buffer: 15 min