reviewProcedia Computer ScienceJan 1, 2015DIAMOND OA

A Review on Predicting Student's Performance Using Data Mining Techniques

Universiti Sains Malaysia

Indexed incrossref

Abstract

Predicting students performance becomes more challenging due to the large volume of data in educational databases. Currently in Malaysia, the lack of existing system to analyze and monitor the student progress and performance is not being addressed. There are two main reasons of why this is happening. First, the study on existing prediction methods is still insufficient to identify the most suitable methods for predicting the performance of students in Malaysian institutions. Second is due to the lack of investigations on the factors affecting students achievements in particular courses within Malaysian context. Therefore, a systematical literature review on predicting student performance by using data mining…

Citation impact

824
total citations
FWCI
66.57
Percentile
100%
References
34
Citations per year

Authors

3

Topics & keywords

Keywords
  • Computer science
  • Educational data mining
  • Context (archaeology)
  • Data science
  • Student achievement
  • Data mining
  • Academic achievement
  • Mathematics education
UN Sustainable Development Goals
  • Quality Education
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