Data Mining of Learning Behaviours and Interactions for Improved Academic Sentiment and Performance Transfer

Project Member(s): Cao, L.

Funding or Partner Organisation: Office for Learning & Teaching (Department of Education and Training) (Innovation and Development Grant Programme - OLT)

Start year: 2013

Summary: This project aims to develop innovative and workable data mining technology for an in-depth understanding of · The learning behaviours that contribute to positive and negative academic sentiment and performance · How poorly performing students can be identified early, instantly detected and given early intervention assistance in a customized way in order to advance to a highperforming status

Publications:

Ang, L, Hellmann, A, Kanbaty, M & Sood, S 2020, 'Emotional and attentional influences of photographs on impression management and financial decision making', Journal of Behavioral and Experimental Finance, vol. 27, pp. 100348-100348.
View/Download from: Publisher's site

Keywords: educational data mining, learning analytics, behavior informatics, sentiment analysis, sequence analysis

FOR Codes: Pattern Recognition and Data Mining, Educational Technology and Computing, Information Processing Services (incl. Data Entry and Capture), Data mining and knowledge discovery, Information systems, technologies and services not elsewhere classified

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.