Members of the DataLab group conducted research in the following broad areas:
With the proliferation of data, the field of Data Mining has gained rapid popularity. Data Mining focuses on the discovery of patterns in large datasets by making use of statistical and machine learning techniques.
Our current focus involve leveraging machine learning techniques to facilitate efficient and effective delivery of services in the health and educational domains---two areas that are of significance in the so-called developing world.
The field of Digital Libraries (DLs) generally involves the study of digital collections of information and corresponding network-based services used to retreive data from the collections. DLs are in effect information systems that are used to persistently store digital objects, manage the digital objects and, facilitate access to the digital objects.
Our focus in the field of DLs, as a research group, mostly involves experimenting with techniques that can potentially facilitate efficient and effective access to digital objects stored in DLs.
Technology-Enhanced Learning (TEL)---also referred to Educational Technolgoy---is increasingly becoming mainstream, and fundamentally involves the use of Information and Communication Technologies (ICTs) in educational settings. TEL broadly involves the integration of hardware and software tools and services aimed at facilitating effective teaching and learning.
TEL involves so many facets, however, our focus is largely centred around how TEL tools and services can be designed, implemented and deployed to ensure their effective integration into educational settings. With our focus on Data Mining, we also explore the sub-field referred to as Learning Analytics.