Extraction, Processing and Visualization of Peer Assessment Data in Moodle

Featured Application This study provides researchers and educators the resources to set up and run a software tool for extraction, processing, visualization and analysis of student self- and peer assessment data in Moodle Workshops. Abstract Situated in the intersection of two emerging trends, online self- and peer assessment modes and learning analytics, this study explores the current landscape of software applications to support peer assessment activities and their necessary requirements to complete the learning analytics cycle upon the information collected from those applications. More particularly, the study focuses on the specific case of Moodle Workshops, and proposes the design and implementation of an application, the Moodle Workshop Data EXtractor (MWDEX) to overcome the data analysis and visualization shortcomings of the Moodle Workshop module. This research paper details the architecture design, configuration, and use of the application, and proposes an initial validation of the tool based on the current peer assessment practices of a group of learning analytics experts. The results of the small-scale survey suggest that the use of software tools to support peer assessment is not so extended as it would initially seem, but also highlight the potential of MWDEX to take full advantage of Moodle Workshops.