Development of a machine learning-based online test system with a hierarchical structure for students

Abstract

A significant data amount is being exchanged, turning internet to a contemporary Silk Road for information. Machine learning (ML) is a burgeoning discipline that is progressively employed for diverse purposes. Artificial intelligence (AI) is the area of study that grants machines the capacity to demonstrate intelligent behavior. In recent decades, there have been notable developments in the fields of ML and deep learning. Devices with low processing capacity are being equipped with advanced algorithms and technology. The machine learning-powered online student testing system frees students from the limitations of conventional paper-based testing and leads to the improvement of the effectiveness of testing procedure. At the same time, it results in maintaining fairness in evaluating students' performance while improving the efficiency of grading. The objective of the present work is creating an internet-based assessment system for students that utilizes machine learning to improve the evaluation of college courses. The main focus of research and design lies in functional modules, fundamental technologies, and implementation of the on-line testing system. The advanced educational software and on-line evaluation system can be helpful for the schools in developing a more systematic and rigorous administration. The conclusion highlights that the online examination system, which is an advanced and reliable educational software, can aid schools in implementing systematic and efficient management procedures