Affiliation:
1. School of Software, Dalian University of Technology, Dalian, Liaoning, China
Abstract
In language learning, error correction information given by teachers for student compositions is of great value in both teaching and learning. However, in traditional paper-based error correction mode, error correction information is easily lost and cannot be fed back to students systematically. The aim of this research is to provide maximum feedback related to systematic correction for students and teachers so that there can be targeted learning and teaching. This paper describes a web-based auxiliary error correcting system for Japanese writing that compares compositions before and after error correction and provides statistics related to error type, error frequency, and error variation. The system was evaluated in the Dalian University of Technology and the experiment proved that teachers and students benefit from this system.
Subject
Computer Networks and Communications,Computer Science Applications,Education
Cited by
1 articles.
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