A Review of the Methods of Predicting Students' Performance Using Machine Learning Algorithms

Education is a basic right of human where there should be various cases with equal quality and global access. Effective and efficient approaches have to be found to enhance education. Computers and portable devices emerged three decades ago and are used in all stages of daily life today. Artificial intelligence technology has been developed using computer tools to perform some tasks like simulating intelligent methods and problems solving by humans. Artificial intelligence has been considered as one of the most valuable uses in educational requrements. Machine learning is one of these in artificial intelligence, which could prove effective in predicting the pervasive situation in academic results, field selection as well as getting better scores given its different algorithms and methods. The paper intended to review and compare some of these algorithms by examining some papers and studies mainly condcuted in the last year. Decision tree, support vector machine (SVM), k-means clustering, and neural network could be mentioned among these algorithms.