Unfolding the Network of Peer Grades: A Latent Variable Approach.

ABSTRACT: Peer grading is an educational system in which students assess each other's work. It is commonly applied under Massive Open Online Course (MOOC) and offline classroom settings. With this system, instructors receive a reduced grading workload, and students enhance their understanding of course materials by grading others' work. Peer grading data have a complex dependence structure, for which all the peer grades may be dependent. This complex dependence structure is due to a network structure of peer grading, where each student can be viewed as a vertex of the network, and each peer grade serves as an edge connecting one student as a grader to another student as an examinee. This article introduces a latent variable model framework for analyzing peer grading data and develops a fully Bayesia

SUBMITTER: Mignemi G 

PROVIDER: S-EPMC12483701 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature