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 […]
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 […]
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 […]
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 […]
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!