Student Performance and Academic Pattern Analysis

Abstract

Education being the most important factor influencing the society, it has to be carried out in an organised and effective way. The students who are part of any educational institution should be analysed and treated in the ways that best suits them rather than treating all of them with a single ideology. Data Analytics being the field of science, of analysing the present data trends to come to a conclusion which can be used for future improvements, can be used in this scenario to understand the student’s ideology and respond accordingly. By analysis the student’s academic performance data we can draw patterns of their behaviour and can then draw conclusive changes that may help lead them to a better performance scope. Traditional academic approaches rarely analyse the student’s performance data and look upon them for any conclusive changes to be implemented for the enhanced academic results. This leads to treating all the students with a single ideology without any involvement of improvement and without looking into the sectors which needs to be improved. This type of approach are very ineffective when compared to an analysed approach. In this fast pace world of analysis, we can apply data analysis to elucidate this gap by analysis the student’s performance data and then draw effective conclusions and prediction from them By applying data analysis over the student performance data we can get a clear picture of student’s participation/involvement in the programs conducted by the institute. We will also get a clear idea of the performance curve of the students and their behavioural patterns. At last we can use these results to take the best move accordingly which helps them to improve their performance and lead them to an effective academic approach.