Statistical software applications are increasingly used to measure student engagement in the classroom. However, more work remains to be done to clarify how meaning is created and measured in classroom settings. With the growing use of technology in the classroom, students’ peer review has become a standard practice to improve students’ writing skills. This article examines the use of an open-source R software application based on Peirce’s sign theory to analyze students’ peer-review comments. Peer review is the assessment of student or professional work by others. The importance of open-source R as a platform lies in the fact that users can extend its code without having to ask permission. The results suggest a new approach, based on computational and social semiotics, to the assessment of students’ peer-review comments in higher education.
2018 Friedman, A. “Digitizing Peircean semiotics to analyze students’ peer-review comments: classroom use of an application in open-source R.” Social Semiotics 38(5).
