Book Chapters

Permanent URI for this collection https://rda.sliit.lk/handle/123456789/4200

The book chapters authored by SLIIT researchers are included in this collection. Access to full texts may be restricted depending on the access and licensing terms.

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Start date: 2005Subject: search.filters.subject.Academic Performance

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    Predicting the academic performance of students using utility-based data mining
    (IGI Global, 2020) Liyanage, S. R; Kasthuriarachchi, K. T. S
    Data mining in education has become an important topic in the sphere of influence of data mining. Mining educational data encompasses developing models, plotting data, and utilizing machine learning algorithms to derive patterns on educational data by attempting to uncover hidden patterns, create information for hidden relationships using educational statistics, and perform many more operations that are unfeasible using traditional computational tools. This research aims to identify the main factors that influence the academic performance of learners in tertiary education system in Sri Lanka. A conceptual framework and an analytical framework on factors affecting the academic performance was constructed with this aim. The analytical framework was then validated with the data collected from technology learners in a tertiary educational institute.