Published on January 2022 | Artificial intelligence Machine learning

Investigating the impact of artificial intelligence in education sector by predicting student performance

Machine learning is an integral part of artificial intelligence. Machine learning is capable of classifying the existing data and can predict and forecast results. The evaluation of student performance in educational institutions reveals the degree of effort that educational institutions should do in order to improve the poor or average learner. The importance of using EDM models is that they leverage prior data from students to forecast unanticipated or impending student performance. Though the educational sector employs a variety of techniques to extract meaningful information about the characteristics of students who participate in the learning process, a student performance assessment model is required to assist students and faculty in moving their performance to the next level. This paper describes a machine learning based framework for forecasting student performance. Model makes use of three machine learning algorithms namely- Support vector Machine, Random Forest and Regression Analysis. The experimental findings have demonstrated that the performance of SVM is concerned with the student's performance.