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 […]
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.
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 […]