Abstract
The purpose of the study is to develop an automated essay grading system (AES) which can grade students essays based on various factors. Our proposed system performs grading of essays based on two features. Simple features consist of finding syntactic errors such as spelling mistakes, grammatical errors, punctuations and sentence proportions. Complex features consist of finding semantic errors through discourse analysis, thematic analysis and detection of undesirable style of writing. Many existing AES systems fail to consider the semantic parts of the essay which is addressed in this study. Calculation of score would be done based on what is specified in rubrics. The proposed system is evaluated using datasets from kaggle. The accuracy of model and obtained results show an agreement with teachers’ grading. This gives us an indication that the model can be deployed for assessment of students’ essay, thereby leading to reduction in time, efforts and cost for evaluating an essay.
Highlights
Automated Essay Grading (AES) is a technology where computers can evaluate written work
We perform punctuation checking, grammar checking and identifying sentence proportions all of which will help deduct scores further. These deductions will be combined in the score module and returned to the main application
We found that Damerau-Levenshtein Distance as it considers both the missing and interchange of words in the spelling as separate entities while evaluating the closeness between a pair of words
Summary
Automated Essay Grading (AES) is a technology where computers can evaluate written work. Automated grading can speed up the grading process and motivate teachers to give more writing assignments without the hassle of going through each of them. While reviewing existing systems we found out few limitations, which gave us motivation to develop our own system. Existing essay grading systems can be tricked into assigning a lower or higher score. This can be attributed to the model's inaccuracy in predicting score. Most of the current systems do not consider the theme of the essay or judge the opinion presented by the user. Some of the systems do not remove undesirable written content which can lead to longer
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