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 […]
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 […]