DAN Yuya
   Department   Matsuyama University  Department of Business Administration, Faculty of Business Administration
   Position   Professor
Language Japanese
Publication Date 2022/12
Type Journal treatise
Title Subjective Peer Evaluation based on the PageRank Algorithm
Contribution Type
Journal TypeJapan
Volume, Issue, Pages 81-98頁
Total page number 18
Details The evaluation of the understanding level and skill of the knowledge by professors such as examinations and assignments are ensured the fairness based on the objective scale. On the other hand, when evaluating the results expressed such as presentations, there are various evaluation items, and the evaluation by students for free expression is not easy. Then, we want to evaluate various expressions by subjective mutual evaluation based on the sensitivity of each student. In this paper, the mutual evaluation for the final production problem and presentation video practiced in the class of “Multimedia Programming” which was opened in fiscal 2021 was reported, and it was shown that when the algorithm of PageRank was introduced, the ordered ranking can be calculated by the evaluation by the vote between students who tackled the same assignment.