Design of English hierarchical online test system based on machine learning

Xiahui Wang,Shaweta Khanna,Dan Zhang,Abhinav Asthana,Chaman Verma,Sudeep Asthana

doi:10.1515/jisys-2020-0150

Abstract

AbstractLarge amount of data are exchanged and the internet is turning into twenty-first century Silk Road for data. Machine learning (ML) is the new area for the applications. The artificial intelligence (AI) is the field providing machines with intelligence. In the last decades, more developments have been made in the field of ML and deep learning. The technology and other advanced algorithms are implemented into more computational constrained devices. The online English test system based on ML breaks the shackles of the traditional paper English test and improves the efficiency of the English test. At the same time, it also maintains the fairness of English test and improves the marking speed. In order to realize an online English test system based on ML and facilitate the assessment of students’ college English courses, this paper mainly adopts relevant research and design on the main functional modules, key technologies, and functional realization of the online English test. The brand-new powerful teaching software and the online examination system can help schools to conduct more systematic and scientific management. The conclusion shows that as brand-new and powerful teaching software, the online examination system can help schools to conduct more systematic and scientific management.

Highlights

In every single day, digital revolution is becoming more obvious and becoming internet-connected as everything is going digital [1,2]
More developments have been made in the field of machine learning (ML) and deep learning (DL)
The computers were not powerful enough to run most of the ML algorithms, so artificial intelligence (AI) field was immersed in a long winter [5,6,7]

Summary

Introduction

Digital revolution is becoming more obvious and becoming internet-connected as everything is going digital [1,2]. The Internet no longer belonged to any specific person and the Internet of Things as number of devices has overpassed the world population. Machine-to-machine interactions are solution for monitoring such a high amount of data [3,4]. For high levels of independence, smart interactions are required in the machines. The artificial intelligence (AI) is the field providing machines with. More developments have been made in the field of machine learning (ML) and deep learning (DL). The computers were not powerful enough to run most of the ML algorithms, so AI field was immersed in a long winter [5,6,7]

Methods

Results

Conclusion