Application of data clustering for automated feedback generation about student well-being

Investment in the well-being of today’s schoolchildren is an important investment in the future. We believe that learning does not happen in the absence of well-being. This data-oriented research studies how automation utilizing data analysis algorithms could help provide the students with feedback and guidance about their well-being related issues. We implemented a system that combines data processing methods and research-based knowledge to serve that purpose. Our target was to develop an automated feedback system utilizing information from a large data set collected from well-being surveys from students, as well as research-based well-being knowledge. The system can be used to provide automated feedback for students who answer a well-being survey.

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