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.