A Study on Prediction and Explain ability in Educational Data Mining

Predicting students learning performance is very essential for the success of an educational institution. Performance of students is influenced by many factors, so students must be given proper guideline for their success. Early identification of their abilities helps them to give proper training to perform better in their education. Their learning behavior is affected by different demographical problems, so a better explainability method is need to find the actual reasons that lead to such a prediction is necessary to make remedial action for giving better assistants. This paper focuses on the need for a better algorithm for prediction and explainability in educational data mining.