Assessing and Monitoring School Wellbeing through an Automated Scoring System: Schoolday Wellbeing Model

Xin Tang, Katja Upadyaya , Hiroyuki Toyama , Mika Kasanen , Katariina Salmela-Aro

The dynamic nature of wellbeing has been largely acknowledged; however, wellbeing is typically measured as a stable attribute using a once-per-year survey. This research aims to introduce a real-time wellbeing assessment- Schoolday Wellbeing model with the help of smart devices and an automated scoring system. The psychometric test results of the model are also reported. The role of social-emotional skills in wellbeing are examined to know which skills are effective to promote students’ wellbeing.