Eudemonic AI Dashboard
Cohort-level wellbeing insight
Eudemonic AI – Wellbeing Snapshot
Aggregated • Decision-support only • No individual identification
Cohort-level only
Anonymised data
No diagnosis
No automated safeguarding actions
Developed through 8 UK university collaborations
OVERALL COHORT SNAPSHOT
Overall reported wellbeing pressure
21.71%
Students reporting elevated or sustained pressure themes
Survey participation
~800
Completed responses in one university survey wave
Confidence level
High
Based on response volume and completeness
Students report sustained pressure linked to assessment load, uncertainty about future outcomes, and impacts on sleep, motivation and daily functioning. The pattern suggests cumulative pressure themes rather than isolated issues.
Confidence & limitations
Confidence basis
- Sample size threshold met
- High completion rate
- Pilot-informed questionnaire development
- Aggregated cohort analysis
- Shaped through 8 UK university collaborations
Limitations
- Self-reported data
- Snapshot in time
- Not diagnostic or predictive
- No individual-level inference
KEY AREAS FOR STAFF REVIEW
Academic workload & assessments
34.12%
Cohort reporting elevated pressure themes
Evidence source: aggregated cohort responses only
Future & employability concerns
~50%
Students reporting concern about future outcomes
| Student-reported concern | Percent |
|---|---|
| Job prospects after graduation | 50.87% |
| Transition to professional life | 49.63% |
| Meeting employer expectations | 45.53% |
Aggregated cohort responses; no individual students are identifiable.
Highlights transition and employability-related concern within the responding cohort
Transition-related concerns
~49%
Concern linked to progression from student life to professional life
- End-of-study transitions
- Career readiness pressure
- Expectation management
KEY AREAS — AGGREGATE SUMMARY
Academic workload pressure
34.12%
Cohort-level indicator
Employability concern
~50%
Future & career readiness theme
Transition concern
~49%
End-of-study progression theme
Aggregate figures only. No individual or student-level identification. Detailed interpretation should remain within appropriate institutional review processes.
How these insights may be used
- Reviewing assessment load timing
- Considering key transition points
- Shaping cohort-level wellbeing support
- Sense-checking emerging institutional concerns
Illustrative examples only. Professional judgement remains central.
IMPACT ON DAILY FUNCTIONING
- Sleep disruption and fatigue
- Feeling overwhelmed by academic demands
- Reduced motivation and concentration
- Lower engagement in social or peer activities
SUPPORTING WELLBEING PLANNING
Areas to monitor
- Assessment-heavy periods
- End-of-term timelines
- Key transition points
Areas for review
- Workload and study skills support
- Transition and employability support
- Sleep and wellbeing routines
What this system does not do
- Identify individual students
- Replace safeguarding processes
- Automate referrals or escalation
SAFEGUARDING & PROFESSIONAL BOUNDARIES
- Cohort-level insight only
- Human judgement remains central
- Institutional safeguarding policies always apply
- No diagnosis, prediction or automated risk scoring