GLSA based online essay grading system

2013 ◽  
Author(s):  
Anak Agung Putri Ratna ◽  
Henry Artajaya ◽  
Boma Anantasatya Adhi
Keyword(s):  
Grading System ◽  
Essay Grading

scholarly journals Formative Assessment Visual Feedback in Computer Graded Essays

10.28945/2843 ◽  
2005 ◽  
Author(s):  
Robert Williams ◽  
Heinz Dreher
Keyword(s):  
Computer Graphics ◽  
Formative Assessment ◽  
Visual Feedback ◽  
Grading System ◽  
Essay Grading

In this paper we discuss a simple but comprehensive form of feedback to essay authors, based on a thesaurus and computer graphics, which enables the essay authors to see where essay content is inadequate in terms of the discussion of the essay topic. Concepts which are inadequately covered are displayed for the information of the author so that the essay can be improved. The feedback is automatically produced by the MarkIT Automated Essay Grading system, being developed by Curtin University researchers.

scholarly journals Machine Learning Based Essay Grading System

2021 ◽  
Vol 9 (VI) ◽  
pp. 5465-5472
Author(s):  
Ojasvi Daga
Keyword(s):  
Machine Learning ◽  
Language Processing ◽  
Regression Models ◽  
Grading System ◽  
Maximum Correlation ◽  
Essay Writing ◽  
Machine Learning Model ◽  
Human Effort ◽  
Essay Grading ◽  
Best Fit

Machine Learning and automation has progressed immensely over the years and has tend to make human lives simpler with reducing human effort and time on tasks by enabling a machine to perform them. One such task is to grade essays. Essay writing is an integral part for anyone willing to learn a language or skill or to simply exhibit one’s thoughts and ideas on a topic. This leads us to the reason why essay grading is important. When a work is scored against some parameters, a scope of improvement is possible. Hence, when essays are graded and feedbacks are provided, it guides the writer to analyse the work and to have a better understanding of the topic in general. Although, manual grading of essays could create discrepancy because of being graded by different individuals having different perceptions of the same content. It also consumes a lot of human time and effort. Therefore, automatic grading of essays could prove to be the saviour. In this project, we build a machine learning model which grades essays based on various features extracted using Natural Language Processing. We also test the model’s performance using several regression models like Linear, Lasso, and Ridge, and methods like Artificial Neural Network to find the best fit giving the maximum correlation with human grades.

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