Nowadays, many universities utilize groupware support for students to post and share their e-reports, and the students can browse and vote other students' reports in e-learning. Teachers then need to evaluate and grade all students' reports, but this will require a great deal of time and effort for a fair evaluation of the reports. Therefore, we develop an automatic scoring system for e-reports based on student peer evaluation by considering the relationship between voting and posting time of the e-reports, to promote the quality of the votes and prevent unfair votes. Then, the system provides a score ranking list of the reports based on a voting graph by analyzing the students who vote the reports, it is a grading tool to support teachers acquire the scores of the reports efficiently. Moreover, the system also enables students detect best reports easily. In this paper, we perform a student peer evaluation through groupware based on voting with a “Like” button in a course practice, and discuss an evaluation of our automatic scoring system's effectiveness compared to teachers' scoring.