Instructor Support Module in a Web-Based Peer Assessment Platform

Benefits of the peer assessment for both teachers and students are well documented in the literature. From the instructor perspective, it can scale grading in large classes, track students' progress, reduce the grading burden and provide an estimation of the final course grade. The existing peer assessment platforms generally offer limited support for the teacher; many of them are based on a predefined peer assessment scenario and the instructor does not have the opportunity to configure the workflow, review allocation or grade computing mechanisms. In this context, we propose a peer assessment system, called LearnEval, which provides comprehensive instructor support: creation and editing of assignments, detailed monitoring of student activity, including various scores and statistics, learner model visualization; in addition, the teacher can configure the scenario and scores in order to fit the needs of the course. The paper describes the LearnEval instructor module in terms of functionalities, implementation, as well as a pilot study in the context of a Multimedia Technologies in E-Learning project.