Supporting Group Coursework Assessment in Large Computing Classes through an Open-Source Web Application

Abstract

Group coursework in computing often suffers from uneven workload distribution, poor communication, and limited visibility for staff, especially in large cohorts. We present an open-source web application that addresses these challenges through automated team allocation (via genetic algorithms), student skill self-assessment, meeting tracking, peer review, and supervisor tools. The system is embedded in a year-long second-year undergraduate module on software design and development (with 300 students in 2025/26) and is replacing manual, ad-hoc processes with structured, data-driven support. Informal trials suggest it helps staff identify struggling teams early and supports fairer marking. Data collection from the first cohort is ongoing. We share findings, reflect on design choices, and discuss implications for adoption in other computing courses