Teachers of autistic students must observe the overt behaviors of these students and acquire the necessary skills to analyze the causes of these behaviors. Teachers can build a low-stress environment by considering the characteristics of each student, which can be revealed by analyzing their behavioral factors. However, it is not easy for less-experienced teachers to perform such analysis. Therefore, we are developing a training package that aims to help less-experienced teachers acquire the observation and analytical skills necessary to accurately identify the behavioral factors of each student with autism. We carried out our preliminary experiment by using a prototype system based on the hypothesis that it is possible for even an less-experienced teacher to make correct assumptions about behavioral factors such as stress. The results of our preliminary experiment support this hypothesis.

This paper describes an edu-mining technique for finding keywords to improve pupils' message- production skills. It automatically finds keywords from blog items pupils create. It then adaptively suggests some of the keywords to pupils when they create new blog items so that they can revise their items using the keywords. Experiments show that it finds and suggests keywords surprisingly well despite its simple algorithm. They also show that pupils in an elementary school in Japan successfully improve the quality of blog items using the suggested keywords.

This paper proposes a method for detecting errors in article usage and singular plural usage based on the mass count distinction. First, it learns decision lists from training data generated automatically to distinguish mass and count nouns. Then, in order to improve its performance, it is augmented by feedback that is obtained from the writing of learners. Finally, it detects errors by applying rules to the mass count distinction. Experiments show that it achieves a recall of 0.71 and a precision of 0.72 and outperforms other methods used for comparison when augmented by feedback.