Design and Implementation of an Online Auxiliary System for Correcting Japanese Composition

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. DOI: 10.4018/jdet.2013010104 46 International Journal of Distance Education Technologies, 11(1), 45-57, January-March 2013 Copyright © 2013, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. information contained in teacher corrections may well be lost. Such loss leads to loss of the initial step in the feedback loop, which is based on the study of language data collection and teaching feedback. This study focuses on helping teachers in China easily correct learner compositions by using computers and helping to save raw data for further usage. With increasing contacts and exchanges between China and Japan, the number of Japanese learners in China has already reached 716,353 students (Japan Foundation, 2006). Against this background, building a composition correction system related to Japanese language learning is very meaningful for students who want to review previous work and teacher comments. Section 2 of this paper introduces published work related to the present study. Section 3 provides an overview of the system, including workflow, main functions and implementation. Section 4 describes the design and results of the experiment. The conclusion contains information about future work.