Automated Thai Online Assignment Scoring

Abstract

This paper presents a new approach of Thai assignment scoring called Automated Thai Online Assignment Scoring (ATOAS). The study was designed by using the principles of text mining including Document Clustering and Document Classification. The experimental results showed that the performance of the model could be as effective as the human performance with the 86.51 percentage of average accuracy and correlation coefficient at moderate level (R= .60. The research findings indicated that the proposed model could reduce the scoring times. This model also could help instructors to teach big-sized classes as well as decrease the budget to hire teacher assistants. Additionally, it could increase times for instructors to conduct their research, develop teaching materials, and create other innovative works needed in teaching and learning processes.