Learning Analytics for Peer Assessment: A Scoping Review

Abstract

AbstractLearning analytics is a maturing field that analyses educational data to gain new insights and improve learning. Peer assessment is an assessment technique in which students provide feedback to one another. To date, there have been no reviews examining how learning analytics is used to facilitate peer assessment. This scoping review addresses this gap and provides an overview of the role of learning analytics in understanding peer assessment, the peer assessment challenges addressed by learning analytics, and insights into peer assessment. The 27 papers in the review highlight a diverse landscape of research integrating automated assessment and visualizations into peer assessment activities, applying novel data analysis methods to peer assessment data, evaluating different types of peer assessment, or examining new research questions, such as those regarding student interaction or self-regulation during peer assessment activities.