Karl,MaximilianZender, RaphaelHenning, Peter A.Striewe, MichaelWölfel, Matthias2022-08-232022-08-232022978-3-88579-716-6https://dl.gi.de/handle/20.500.12116/38843In programming courses students might work asynchronous in a team to solve tasks from the tutor. A version control system (VCS) is commonly used by programming teams and the currently most popular VCS is Git. GitHub and GitLab are tools which are based on Git and supply additional features for teams to support their teamwork. This poster shows characteristics of collaborative teams and how they are reflected in GitHub and GitLab issue history. A learning analytics algorithm can analyse the issue history of GitHub or GitLab to distinguish teams by their teamwork and give an individual feedback for each team and team member. The feedback should encourage the team members to work more collaborative and use different features of GitHub or GitLab. The goal of the poster is to illustrate the possibilities of an automated feedback to enhance the teamwork of student teams which are using a VCS for their coding tasks.enautomated feedbacklearning analyticscollaborationteamworkGitGitLabGitHubText/Conference Paper10.18420/delfi2022-0411617-5468