Data architecture
A key challenge in the ISILA project is to combine data from multiple sources together to be able to take informed actions that involve as much relevant information to the study context as possible. In the previous post, we discussed potential data sources: LMS logs, surveys, videos, Discord messages, etc. Based on these requirements, we […]
Data sources
The main goal of the ISILA project is to combine data from multiple sources to provide teachers with relevant information on their students, so they can make timely interventions to improve their learning. In the first stage of the project, each partner investigates which data sources are relevant to their own teaching implementations. Our first […]