Dynamic Graduation Project Allocation Based on Student-Teacher Profile Compatibility

Selecting an appropriate graduation project and supervisor is an important step for BSc and MSc students; a good compatibility between the student and the teacher, in terms of personality and supervisory style, contributes to enhanced achievement, engagement and well-being. Nevertheless, few approaches have been proposed in the literature to use these compatibility factors for providing student-teacher matching recommendations. In this context, we propose a system called Smart Project Allocation (SPA) which facilitates the supervisor selection process by providing personalized suggestions based on comprehensive student and teacher models (including personality, supervisory style and topics of interest). In addition, the platform provides a mechanism for automatic project allocation, which dynamically assigns projects to students in a more efficient, fair and transparent manner than the traditional manual approach.