Project
On-demand Dataset Builder
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”. It commenced in January 2024 with the recruitment of PhD researcher Mehrnoush Mohammadi at The University of Queensland.
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 commenced in January 2024 with the recruitment of PhD researcher Mehrnoush Mohammadi at The University of Queensland who is supervised by CIRES Chief Investigators Associate Professor Hassan Khosravi, Associate Professor Wojtek Tomaszewski, Centre Director Professor Shazia Sadiq, and Partner Investigators from the Queensland Department of Education.
Queensland Department of Education are empowering confident and creative lifelong learners through a student-centred approach to learning and wellbeing. This partnership with CIRES aims to 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.
Project Team
Mehrnoush Mohammadi
PhD Researcher
A.Prof Hassan Khosravi
Chief Investigator
A.Prof Wojtek Tomaszewski
Chief Investigator
Prof. Shazia Sadiq FTSE
Centre Director
Partner
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