Implementation of Automated Feedback System for Japanese Essays in Intermediate Education

Abstract

Traditional Automated Essay Scoring (AES) only provides students with a holistic score, unable to provide meaningful feedback on students writing. Holistic, structure, style, word, and readability are chosen from the 6+1 writing-trait theory to create an Automated Essay Feedback (AEF) for Japanese L1 students. By combining these rule-based traits with a data-driven model, we created a hybrid system that can automatically grade and give feedback to students. The system automatically identifies parts of student writing that need improvement, then recommends corrective and suggestive feedback. Our contributions are twofold: design a 5-writing-trait AEF for Japanese L1 students and implement the holistic corrective writing-trait.