A Data Mining Approach to Identify the Factors Affecting the Academic Success of Tertiary Students in Sri Lanka

  • K. T. Sanvitha KasthuriarachchiEmail author
  • S. R. Liyanage
  • Chintan M. Bhatt
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 11)


Educational Data Mining has become a very popular and highly important area in the domain of Data mining . Application of data mining to education arena arises as a paradigm oriented to design models, methods, tasks and algorithms for discovering data from educational domain. It attempts to uncover data patterns, structure association rules, establish information of unseen relationships with educational data and many more operations that cannot be performed using traditional computer based information systems. It grows and adopts statistical methods, data mining methods and machine-learning to study educational data produced mostly by students, educators, educational management policy makers and instructors. The main objective of applying data mining in education is primarily to advance learning by enabling data oriented decision making to improve existing educational practices and learning materials. This study focuses on finding the key factors affecting the performance of the students enrolled for technology related degree programs in Sri Lanka. The findings of this study will positively affect the future decisions about the progress of the students’ performance, quality of the education process and the future of the education provider.


Data mining Educational data mining Classification Knowledge discovery Feature extraction 



The authors would like to acknowledge the support provided by Sri Lanka Institute of Information Technology by providing a valuable dataset of the institute to carry out the research study.


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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • K. T. Sanvitha Kasthuriarachchi
    • 1
    Email author
  • S. R. Liyanage
    • 2
  • Chintan M. Bhatt
    • 3
  1. 1.Faculty of Graduate StudiesUniversity of KelaniyaDalugamaSri Lanka
  2. 2.Faculty of Computing and TechnologyUniversity of KelaniyaDalugamaSri Lanka
  3. 3.Chandubhai S. Patel Institute of Technology, Charotar University of Science and TechnologyGujaratIndia

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