GydEd offers an AI-powered platform that proactively supports student well-being and improves retention for higher education institutions. The system uses sentiment analysis on student check-in data to identify individuals needing support and connects them with relevant resources, providing institutions with insights into student wellness trends.
Funding
Funding not disclosed
Founders
Product
Problem
Student attrition is a significant challenge for educational institutions, often stemming from unaddressed well-being issues. Current methods for identifying at-risk students are frequently reactive, leading to delayed interventions and increased dropout rates.
Solution
GydEd provides an AI-driven platform designed to proactively support student well-being and improve retention. The system utilizes sentiment analysis on student check-in data to identify individuals experiencing distress and facilitates their connection to appropriate support resources. By offering institutions a clear visualization of student wellness trends, GydEd empowers them to optimize support programming and enhance student success outcomes.
Target Audience
The primary customers are higher education institutions, including universities and colleges, seeking to improve student retention and well-being.
Features
- AI-powered sentiment analysis of student self-reported well-being data to identify at-risk individuals.
- Automated, low-friction student check-ins via an integrated chatbot within the Learning Management System (LMS).
- Personalized resource recommendations for students based on their sentiment analysis results.
- Real-time dashboard for administrators to monitor aggregated student well-being trends and individual student status.
- Functionality to track the utilization and impact of institutional support resources.
- Secure data handling with student consent protocols for sharing information with support professionals.
- Tools for institutions to map and analyze factors influencing student well-being across different demographic segments.