FACToGRADE: Automated Essay Scoring System
Lyla B. Das, C V Raghu, G Jagadanand, Ritu Ann Roy George, Priyamvada Yashasawi, N A Aakaash Kumaran, Vinay Kumar Patnaik · 2022
The significance of technology has exponentially grown in this increasingly virtual world, making online learning and evaluation the new normal. In the evaluation of writing assignments, many existing automated methods either focus on semantics or machine-learned features alone. In our project, we incorporate content analysis with structural analysis to provide a complete grading system. Also, revision and feedback are essential aspects of the writing process, with the help of which, students may increase their writing quality. Here, Automated Essay Scoring (AES) systems can be very useful as they can provide the student with a score as well as a feedback within seconds. Below we present an automated scoring system, built using the concepts of Long Short Term Memory (LSTM) and Entity Detection, incorporating a User Interface to input an essay and obtain its score along with the breakdown analysis of the essay.