Automated Essay Grader
Aayush Shah1, Twisha Vyas2, Siddharth Shah3, Abhijit Patil4
1Aayush Shah, Computer Department, Dwarkadas J. Sanghvi College of Engineering, Mumbai, (Maharashtra). India.
2TwishaVyas, Computer Department, Dwarkadas J. Sanghvi College of Engineering, Mumbai, (Maharashtra). India.
3Siddharth Shah, Computer Department, Dwarkadas J. Sanghvi College of Engineering, Mumbai, (Maharashtra). India.
4Prof. AbhijitPatil, Computer Department, Dwarkadas J. Sanghvi College of Engineering, Mumbai, (Maharashtra). India.
Manuscript received on 08 December 2015 | Revised Manuscript received on 16 December 2015 | Manuscript Published on 30 December 2015 | PP: 1-3 | Volume-5 Issue-7, December 2015 | Retrieval Number: G2234125715/2015©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Essays are crucial testing tools for assessing academic achievements, integration of ideas and ability to recall, but are expensive and time consuming to grade manually. Manual grading of essays takes up a significant amount of instructor’s valuable time, and hence is an expensive process. Automated grading, if proven to match or exceed the reliability of human graders, will significant reduce costs. The purpose of this project is to implement and train machine learning algorithms to automatically asses and grade response. These grades from the automatic grading system should match the human grades consistently. Currently, automated grading is used instead of second graders in some high-stakes applications, and as the only grading scheme in low stakes evaluation.
Keywords: Automated essay grader; Machine Learning; Natural Language Processing; Linear Regression.
Scope of the Article: Machine Learning