Weakest integrity traits identification of teachers using association rule mining

The government has arranged many programs for teacher development however the training is organized to fit yearly calendar without considering the right teacher for the right training. The selection of teacher to attend training is done randomly, by rotation and not based on their work performance. This paper investigate the weakest integrity trait of teacher using association rule technique with the aim can assists the school management to organize training related to teachers integrity performance and avoid sending a wrong teacher for a training. A dataset of Trainees Integrity Dataset (TID) representing 1500 secondary school teachers in Langkawi Island, Malaysia in the year 2009 were pre-processed and mined using apriori. The knowledge from the mining was analyzed based on demographic and integrity trait of teacher. The finding indicates that adaptability and stability are the weakest integrity trait among teachers. Besides that, the analysis also unable to prove that demographic factor such as the age and gender of teachers reflect their low integrity performance. The finding can be a guideline for school management to propose a suitable training program for teacher to improve integrity mainly at the adaptability and stability trait.