学生が作成したキャリアプランのテキストマイニング

A learning support website was constructed using Moodle in 2012 and has been used in my classroom. The students in my classes can experience student-based and cooperative activities on the Moodle website. In a class called “Information Communication C,” the students can improve their writing proficiency in Japanese by enjoying making letters to a newspaper and career planning documents. This paper provides the results of the text mining analysis of career planning documents created by my students. The results indicate that the graphs of word co-occurrence networks and correspondence analyses contribute to comprehending what my students are thinking. I want to accumulate the visual information and exploit it in mentoring.