Using Data Mining Techniques for Investigating of Performance in ICT subject at G.C.E Advanced Level

The statistical analysis of the examination results emerges as an important key in the field of education as the quality of the education is revealed by the evaluation process. The conclusions which follow the analysis can be a feedback of the quality of examination papers or the supplementary of the students' feedback of teachers teaching process. Therefore, it provides a summary of the prevailing standard of education which lead to educational research and reform. These reforms contribute to the positive changes applied to the examination system and to the learning and teaching process continuously. In year 2011 Information and Communication Technology was introduced to the G.C.E Advanced Level as a main subject. The main objective of this research is to identify problems relating to the G.C.E Advanced Level Examination ICT subject and provide suggestions for enhance performances in ICT results among students and provide suggestions for the teaching process of the education system. In this issue Association Rule technique of data mining is used to identify certain patterns in the examination results. The analysis exposure that, better the performance in mathematics and ICT subjects in G.C.E. Ordinary level, higher the probability of performing well at G.C.E. Advanced level examination ICT subject. Other analysis was to find whether there is an impact on gender difference for his/her G.C.E. Advanced level ICT subject result. It was found that when considering overall factors, female students performed well in the exam than male students.