Artificial Intelligence in Assessment of Students' Performance

Abstract

One of the advantages of integrating Artificial Intelligence in education is usage of AI in assessing students’ performance and subsequently its enhancement. With the advancement of Artificial Intelligence in the last couple of decades, it has become very much possible to assess each individual student’s performance in advance and get a hint of his or her chances of success or failure. Apart from the effect of an institution’s environment, various other important factors like social, economic, behavioral and non-behavioral aspects do play important roles in a student’s overall performance. With the help of various data mining techniques, institutions can gain knowledge of those factors and predict a student’s performance in advance. Also, AI aids in assessing student involvement in a particular course. This helps the institution in clustering students into various groups according to their performance levels, and identify the most talented and success-prone students as well as relatively weaker students. With this identification, it becomes possible to take special care of students to improve their performance. Various AI-aided tools can be deployed in taking individual care of a student. Various recommendation systems can assign personalized learning curricula to students according to their need and intelligence level. Personalized and customized course styling can be individually adapted as per the student’s interest. This not only helps improve a student’s performance; it also helps in preventing dropouts and attracting more and more students towards higher education, in turn building the youth of a nation.