Extracting Factors of Student's Drop-out using Association Rule Mining

  • Adjima Punsuwan
  • Thimaporn Phetkaew
Keywords: Drop Out, Data Mining, Association Rule, Factor Analysis


The Faculty of Law, Surat Thani Rajabhat University faced with a number of student drop-out. The objective of this research aimed to extract factors associated with student drop-out using association rule mining. The experiment was conducted to examine the relationship among factors affecting overall drop-out rate. The in-depth analysis was done categorized by years of study (freshman, sophomore, junior and senior year). In addition, the experiment was examined according to the types of admission, personal factors, educational background, and academic performance in the university. The data were collected from 893 undergraduate law students who studied in the program from the academic year of 2012 to 2015.
The results showed that the students’ educational background was related to drop-out rate during the first and second year of their study. The students who had the average GPA in Mathematics and English at a fair level (1.00-1.99) from secondary school and GPAX at a medium level (between 2.00-2.99/4.00) showed relatively high drop-out rate. Freshman drop-out factor was associated with low annual income of their parents. The key factors that affected the drop-out of junior year and above were General Education courses; having poor result in Science for Quality of Life subject and having poor or fair result in Global Society and Living subject. In addition, the drop-out rate was caused from failing in specific requirement courses such as Principles of Private Law subject, and from receiving poor grades in Principles of Public Law subject and Thai Legal History subject. The findings can be used as a guideline to reduce drop-out rate, and this information can help board members in planning policy and strategy in the future to improve the quality of teaching and learning at the university.


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How to Cite
Punsuwan, A., & Phetkaew, T. (2020). Extracting Factors of Student’s Drop-out using Association Rule Mining. Princess of Naradhiwas University Journal of Humanities and Social Sciences, 8(1), 112-136. Retrieved from https://so05.tci-thaijo.org/index.php/pnuhuso/article/view/244782