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Data Mining of Learning Behaviors and Interactions for Improved Academic Sentiment and Performance Transfer - OLT ID 13-3058

Project Member(s):
Cao, L.

Funding or Partner Organisation:
Office for Learning & Teaching (Innovation and Development Program)

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

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)