Retrieving students’ ChatGPT interactions
The overarching goal of the ISILA project is improving teaching practices through innovative tools that provide real-time insights into student learning and engagement. With the rise of conversational AI tools like ChatGPT, educators now have access to powerful resources that can enrich the learning experience. However, effectively utilizing these tools requires efficient methods for collecting […]
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 […]
ISILA Kick-off meeting
Today we kick off our project with an online meeting involving all partners: University of Eastern Finland (Finland), University of Bergen (Norway), Sofia University (Bulgaria), Belgrade Metropolitan University (Serbia), and University of León (Spain). We went over our WPs and started to plan the first project tasks. We are so thrilled to begin working together!