A review on Student Performance Prediction using Educational Data mining and Artificial Intelligence

Predicting student’s performance helps all stakeholders of education system to plan and take appropriate measures. Increase in the number of higher educational institutes and adoption to online and blended learning has enabled collection of large amounts of data. Data Mining and Artificial Intelligence tools can be successfully used on this data to predict student performance to provide required insights to the stakeholders. This paper focusses a systematic literature review on use of data mining and AI tools for Student’s Performance Prediction. Using Critical review of available literature authors have proposed a combinatorial model for student performance prediction using some techniques like Decision Tree, Random Forest, Genetic Algorithm, Artificial Neural Networks, etc.