An Analysis of Automated Essay Grading Systems
Kshitiz Srivastava1, Namrata Dhanda2, Anurag Shrivastava3
1Kshitiz Srivastava, Scholar, Ph.D. scholar, Dr. APJ Abdul Kalaam technical university, Lucknow, Uttar Pradesh, India.
2Prof. (Dr.) Namrata Dhanda , Professor, Department of computer science, Amity University, Lucknow, Uttar Pradesh, India.
3Dr. Anurag Shrivastava , Professor, Department of Computer Science & Engineering, Babu Banarasi Das Northern India Institute of Technology, Lucknow, Uttar Pradesh, India.
Manuscript received on February 28, 2020. | Revised Manuscript received on March 22, 2020. | Manuscript published on March 30, 2020. | PP: 5438-5441 | Volume-8 Issue-6, March 2020. | Retrieval Number: F9938038620/2020©BEIESP | DOI: 10.35940/ijrte.F9938.038620
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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 one of the most important method for assessing learning and intelligence of a student. Manual essay grading is a time consuming process for the evaluator, a solution to such problem is to make evaluation through computers. Many systems were proposed over past few decades. Each system works on different approach having focus on different attributes. Aim of this paper is to understand and analyze current essay grading systems and compare them primarily focusing on technique used, performance and focused attributes.
Keywords: Automated Essay Grading, Computer-based Assessment Systems, Text Processing, Essay Evaluation, and Semantic Analysis.
Scope of the Article: Adaptive Systems.