A Students’ Mutual Evaluation Method for their Reports using PageRank Algorithm

Abstract

Nowadays, mutual evaluation in education is an available method that students in the learning community use to evaluate each other. The method calculates scores of students’ reports by considering who evaluates those reports. In this paper, we propose a student's mutual evaluation method using the PageRank algorithm, an appropriate evaluation method that helps teachers to easily understand whose report is the best from the students’ viewpoints. In particular, we perform students’ mutual evaluation based on a groupware by utilizing a “Like” function in a course practice. As a result, it was able to not only provide an overall rating from the students’ sum of votes but also, by considering who voted, to promote the reliability of the students as evaluators for their mutual evaluation.