Code of practice for wellbeing and mental health analytics
Suggestions on how education providers can ensure that their use of data to support wellbeing does not create risks for students or staff.
Whereas learning analytics uses data to inform decisions – from individual to curriculum level – on how to support students’ learning, data may also be used to inform decisions on how to support their wellbeing and mental health. Possible applications cover a very wide range: from screen-break reminders to alerts when a student appears to be at risk of suicide. Clearly such uses of data can involve both significant benefits and high risks.
This code of practice suggests how universities, colleges and other tertiary education providers can ensure that their use of data to support wellbeing does not create risks for students or staff, taking responsibility and demonstrating accountability for their actions in selecting, developing, implementing, operating and reviewing data-informed wellbeing processes.
|Type of provider||European project|
|Learning opportunity type||MOOC|
|Admission procedure||Open to all|
|Type of credential||Open Badge|