Digitizing Peircean Semiotics to Analyze Students’ Peer-review Comments: Classroom Use of an Application in Open-source R
Document Type
Article
Publication Date
2019
Keywords
Peirce’s sign theory, open-source R, student peer review, learning and education analytics
Digital Object Identifier (DOI)
https://doi.org/10.1080/10350330.2018.1514780
Abstract
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.
Was this content written or created while at USF?
Yes
Citation / Publisher Attribution
Social Semiotics, v. 29, issue 5, p. 684-697
Scholar Commons Citation
Friedman, Alon, "Digitizing Peircean Semiotics to Analyze Students’ Peer-review Comments: Classroom Use of an Application in Open-source R" (2019). School of Information Faculty Publications. 683.
https://digitalcommons.usf.edu/si_facpub/683
