AUTOMATED SHORT-ANSWER GRADING SYSTEM USING MACHINE LEARNING: A REVIEW

Shivam Moray

Abstract


In this paper, a broad overview on the design and implementation of an automated evaluation system for short technical answers by using Machine Learning, along with a comparative study of the various approaches that have been used till current date, is provided. The prevailing system has its own pause in terms of volume, staffing, variation, correctness within the ways of assessing. The proposed system is an evaluation system which can identify the matching keywords in the textual answers and evaluating marks for the same based on some previous knowledge acquired by the machine. A syntactical relation-based feature extraction technique is proposed for automatic evaluation of descriptive type answers. Students are also benefited with a feedback system that can help them improve their score. It also provides a platform to academic institutes to enhance their system which can provide better results in assignment evaluation.

 

Keywords: Machine Learning, Natural Language Processing, Automatic assessment, Feature extraction, Textual pattern

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