What do educational data, generated by an online platform, tell us about reciprocal web-based peer assessment?

Peer Assessment (PA) is a promising evaluation strategy in the educa-tional context, not only due to its effectiveness to reduce instructor's evaluation loading, but mainly due to its benefit towards student development e.g., team-work, in-depth thinking. In this exploratory study we sought to explore how do educational data, as generated by an online platform (i.e., Peergrade) and dis-played in teacher’s and students’ Learning Analytics Dashboard (LAD), can po-tentially inform us of the PA process and the peer interactions, as they take place. Participants in the study were 21 undergraduate teacher-students who attended a science course (electrical circuits topic) following the inquiry-based approach. Students were asked to reciprocally and individually assess the responses of a peer in a given task. The findings of this study have implications towards the establishment of new theoretical frameworks and developments for bridging ed-ucational theory, design process and data science, in the field of assessment.