The School of Computing and Informatics (SCI) of Universiti Teknologi Brunei (UTB) organised a customised short course titled Data Analytics Fundamentals for Education for Ministry of Education (MoE) personnel recently.
Twenty participants from various departments/units attended the two-day course facilitated by SCI Assistant Professor Dr Asem Kasem. The course introduced the fundamental concepts of data analytics, and highlighted the various applications of data analytics in the education sector.
The participants also learnt how and when to use key methods for educational data mining, learning analytics and tools that are frequently used.
Dr Asem discussed real-world educational data mining and learning analytics through case-studies and applications with the participants. They also learnt common methods used in addressing them, and how to interpret results for further actions.
UTB Registrar and Secretary Lim Chui Hua awarded certificates to the participants.
The past decade witnessed many successful attempts by research and practitioners communities in the education sector using data analytics to improve educational effectiveness and support research on learning. This has been highly influenced by the ease of access to large amounts of data (structured and unstructured) about educational activities, operations, and processes.
The increasing dependence on online and software-based learning tools, in addition to digitisation of many aspects of educational institutions, have resulted in large amounts of data which led to innovative usages and applications.
SCI at UTB offers undergraduate programme specialised in Data Analytics geared to cover related knowledge areas and technologies, to develop skillset necessary to tap into big (and small) data resources and benefit from enabled opportunities.
Data is a valuable asset for many organisations and companies to improve their services and products, come up with totally new ones, or optimise their operations. This applies to big sectors or enterprises such as TELCOs, O&G, and large-scale manufacturers, and also to healthcare institutions, insurance companies, marketing firms, and other small and medium enterprises (SMEs).