Analysis of University Students’ Performance Using WEKA to Enhance the Education Quality


Md. Tofail Ahmed

Universities of a country perform a significant role in our society to develop every sector as well as build the backbone of a nation by providing higher, specialized and contemporary education to the young generation. At present, around 163 universities, and 31 specialized colleges exist in Bangladesh under the supervision of University Grants Commission of Bangladesh (UGC). Recently, Bangladesh government and UGC have taken the biggest challenges to ensure the quality of education to create productive graduates. But there are some common problems of fresher students in most universities such as they are not enough familiar with university education system, accommodation crises, political unrest, etc. In recent years, the rate of failure and thus re-admission is reaching alarmingly high. In this research, it has analyzed and classified the published 1st-year result data of the last 4 years (2017-2020) of the Department of Information and Communication Engineering at Pabna University of Science and Technology, Bangladesh. The analytical data critically to extract valuable information and tried to find out the reasons behind failure in the semester final examination. The classification algorithms J48 and JRIP have been used in WEKA to predict the result of a student. If someone is found not going to do well in the upcoming exam, the student can be traced and kept in special care and encouraged to reduce the rate of fail/ readmission as well as save valuable resources and accelerate the production of a more well-educated young generation.

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