Word and Comments Evaluation Using Recursive Evaluation in Lecture Questionnaire

Abstract

Recently, as part of faculty development, universities employ questionnaires about lectures, and improvements are planned using investigations of student satisfaction with teachers and lectures. In this study, we perform value prediction of comments and words in free comments from a questionnaire about lectures. The comment evaluation technique involves value prediction of the entire comments via mutually recursive repetition of multiple person partial comment evaluations and value prediction of those comments and words. In addition, we evaluate the differences between individually evaluated words and comment-predicted values.