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Universities can lose up to 30% of students annually. Each drop-out represents not only lost potential but also real financial loss. motivatED helps reduce drop-outs through an advanced early warning system, identifying students at risk and enabling effective interventions before decisions become irreversible.
Provides full insight into student status by combining academic, behavioral, and self-reported data. The system continuously tracks learning progress, engagement, and emotional wellbeing while predicting drop-out risks, allowing universities to respond early, appropriately, and based on reliable data.
A mobile application accompanies students throughout their studies, providing organizational support, motivation, and metacognitive skill development. With constant access to the virtual mentor, students receive guidance exactly when they need it.
Uses advanced analytical algorithms to assess student needs and capabilities comprehensively. The system creates personalized development paths and identifies potential challenges before they affect academic performance or drop-out decisions.
Delivers advanced AI- and machine learning-driven analytics to universities. The system generates precise reports to support administrative decisions, facilitates accreditation processes, and predicts trends and potential risks related to student retention and wellbeing.
The student application provides access anytime, on both mobile and desktop devices. The platform complies with WCAG standards, ensuring usability for students with disabilities. The interface is designed based on UX/UI research with target groups, making it intuitive, clear, and easy to use.
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