Analysis of algorithms in automated marking in education: A proposed hybrid algorithm

Automated grading of student's assignments and exam papers has been studied for more than a decade. This technique can be used to automatically grade student's assignments as well as exam papers without spending much time and effort. Many schools and universities are using this technology whereas, others are still struggling to find the best system which can accurately evaluate and provide the best result. The main aim of this research is to find how automated marking system work and how this can be used to improve the teaching and learning process. This paper provides a brief overview of existing research being carried out in the field of natural language processing and machine learning algorithms to develop automated marking system and will present a sample framework which uses the data from the exam papers of students from different schools and universities and from some datasets and evaluates student answer based on the model answer provided to the system. The system finds similarity between the student answer and model answer and grade student answer based on the degree of similarity between them. Through this paper, the reader will be able to get an overview of the recent development in the field of education with the use of an automated marking system to evaluate student's performance. This technology help teachers to save their time and effort whereas, students can get timely feedback which helps to improve their performance.