ISILA dataset
The data collected in the scope of the ISILA project has been curated and released as an open dataset on Zenodo so it can be reused by the learning analytics community. This dataset brings together learning activity data from multiple Learning Management Systems (LMSs)—including Canvas, Moodle, and LAMS—with complementary data collected through surveys and other […]
Generating xAPI logs from tabular data: The csv2xAPI tool
Our solution to combine data from multiple sources in the scope of the ISILA project consists of a tool to convert from pretty much any CSV file (or other tabular format) to xAPI JSON logs that can be sent to a Learning Record Store. The tool that we have developed for this purpose is called […]
WP2 Follow-up meeting 2
We have just finished our second follow-up meeting for WP2. We discussed the tools developed to transform multimodal data into xAPI format and the development of learning analytics dashboards to visualize these data from heterogeneous sources. We also discussed the next steps to test our tools.
Capturing the granularity of video watching with xAPI
A common problem with Learning Management System data is the granularity of the collected data. For example, if a teacher uploads a video lecture for students to watch, the only data collected is whether students opened the video link or not, but not whether they followed the video for its entire duration, the moments they […]
WP2 Follow-up meeting
Today we meet to discuss the progress regarding WP2, specifically our data sources and architecture. Our next tasks are implementing the necessary tools to realize our proposed solution and to work on the data consent forms to collect data from our students.
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 […]