About the Project
This project will develop a prototype system to showcase the scalability, reliability, and usability of an AI-assisted dataset builder for effective and efficient discovery and curation of multi-source and multi-modal educational data. Working in close collaboration with domain experts and end users from the Queensland Department of Education, the project team will review and investigate best practices for constructing on-demand data sets and the concept of “data as a service”. The project will also develop new methods for AI-assisted on-demand dataset builder and will evaluate with a human-centred lens. The research will result in validated methods and a prototype implementation of the system, road-tested with end users.
This project aims to develop an on-demand dataset builder to facilitate effective and efficient discovery and curation of multi-source and multi-modal educational data. It will commence in late 2023 to early 2024 with the commencement of the PhD researcher for the project. They will be supervised by CIRES Chief Investigator Associate Professor Hassan Khosravi, Affiliate Investigator Associate Professor Wojtek Tomaszewski, Centre Director Professor Shazia Sadiq, and Partner Investigator from the Queensland Department of Education, Dr Angela Ferguson.
Queensland Department of Education are empowering confident and creative lifelong learners through a student-centred approach to learning and wellbeing. A partnership with CIRES would support the department in developing a robust data infrastructure pipeline, which can be applied to demonstrator projects to enhance internal data capability and help address policy questions.