In educational project courses, people are put together in teams of more than two individuals to facilitate learning and the production of qualitative results. Research on team composition based on personality for education however is scarce, often with personality being the sole regarded factor.  Measuring a "team personality" is also more complex than just aggregating the individual scores. In this thesis, we designed a Team Personality Profile which takes the individual personality scores of a project team and transforms them onto a team role scale. Project course organizers receive insights and suggestions on favorable team roles and compositions as well as warnings about potential issues which will help them to adapt their composition accordingly. Project team leaders are able to utilize this data to help them successfully navigate their team through their project. To evaluate the design, we analyzed the Team Personality Profiles calculated with real individual personality data from multiple instances of a capstone university course.

Team composition for the multi-project capstone course iPraktikum is currently supported by single-objective optimization. This approach can be improved by using multiple objectives and finding an optimal solution in an iterative way. However, multi-objective approaches are more difficult for the user to understand, especially when it comes to trade-offs between objectives. The main goal of this thesis is to create a user interface that visualizes trade-offs and outcomes of each iteration in an understandable, easily usable way. Four candidate user interfaces are created based on the elicited requirements and evaluated in a user study, leading to an optimized user interface combining the best features of the candidate interfaces.