Industry: Education

Deep Learning Smart Systems for Educational Management

young students learning at desktop computers

Image: Cherylt23 / Pixabay

 

Research Lead
Professor Yi Yang

AAII Research Lab
ReLER Lab

Collaborators
CingleVue International Pty Ltd

Our researchers are making substantial leaps in video spatio-temporal localisation, using complex object and motion analysis in realistic scenes to better detect humans, objects and actions in real-world video data.

The applications are immediate and far-reaching in areas including video analysis, video-guided human behaviour understanding, assistive technology, video anomaly detection, event recognition and video archive analysis. The advances also provide an essential step towards imbuing robots with ‘visual intelligence’, enabling them to better understand their physical surroundings and interpret and predict human actions.

The deep learning smart systems for education managment project concerns the design of an underlying system for leveraging the vast quantities of educational data to intelligently guide student learning, aid allocation of educational resources, and help provide informed recommendations based on individual learning needs. This will serve as the basis for the creation of a question answering system to understand and respond students' queries.

 

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.