A place to support students and educational institutions by creating a proactive wellness tracking system within institutions that consistently promotes student engagement and wellbeing, while simultaneously providing organizations with the means to plan early intervention strategies for students focussed on increasing student persistence and student retention.
Student Persistence and Retention Dashboard
Shine.ai algorithms examine existing student activity data from historical and current digital interactions from centralized data points like attendance, grades, event presence, gym, etc. and responses from emotional well-being assessment.
Wellbeing Dashboard
Shine.ai identifies less engaged learners and exposes patterns of behavior that might be a precursor to many issues thus giving personal admins, tutors, student advisers, and case managers a way to identify struggling students and make effective interventions. Real-time workflows trigger alerts to student support staff of changes in engagement. Automate the first stages of student outreach. Ensure no time is lost re-engaging students and their success is never out of focus.Provide Proactive Support
Shine.ai provides 1-1 support with Health & Wellness Coaches, peers and academic advisors working with educational institutions. Conduct contextual workshops based on data trends. Consistent tracking and feedback for both students and colleges.
We need to start addressing awareness and stigma around mental health to deal with mental health issues. This platform looks great to initiate solving such concerns.
Pandora
One aspect of keeping mental well-being a priority is talking about it and making communication with someone. Shine.ai makes it simple by making insitutions proactively reaching out to us. Great!
Sara Sebestian
I sometimes feel a lot of pressure as I am on loan and also looking at the job market situation I feel tense. Looking at a platform like shine.ai, I feel safe and looking forward to using it.
David FernandezSay Hello to shine.ai
Learning engagement analytics, at its most straightforward, seeks patterns in that data to better understand students identify students at potential ‘risk’ of not progressing or withdrawal, and adjust provision and support accordingly. Engagement data used in this way is a powerful tool to identify potential risks to progression or even withdrawal and initiate a proactive conversation that offers support and guidance for the student.
Register Today