Educational Data Mining: Predicting student's performance using clustering

Educational Data Mining (EDM) is an emerging trend which is concerned about the effective use of huge data coming from educational systems to improve and optimize teaching-learning process, and also there are various techniques and methods provided to predict and analyze the student's behavior and their performance. In this research paper, we have developed a model to predict the student's performance by using clustering model with the help of k-means algorithm. We have focused on social media perspective data, which is strongest source of EDM and nowadays, it is more widely used to be as an important factor in the field of EDM.