RIPEL: A Data-Augmented Peer Evaluation System for Assessing Teamwork.

Team-based projects are essential in computing education, offering students valuable collaboration practice. However, assessing individual contributions within teams remains challenging, especially in remote or large courses. Traditional peer evaluations are widely used but are limited by bias and lack evidence. To address this, we present RIPEL, a data-augmented peer evaluation system that supports evidence-based feedback of teamwork by visualizing log data from digital collaboration platforms. The data captures different components of teamwork, including technical contributions, content generation, and communication. Students review and annotate an interactive timeline of team contributions, grounding their feedback in evidence. A preliminary evaluation suggests that RIPEL can support more meaningful, evidence-based peer evaluations.