AI-Powered Student Retention Solution

In today's educational landscape, where timely graduation rates are below 40% and dropout rates can exceed 50% in many countries, addressing student retention is a critical challenge for institutions worldwide.

 To combat this issue, Analytikus has developed Foresight, an advanced analytics solution designed to predict and mitigate student dropout risks through the power of artificial intelligence (AI).

Understanding Foresight

Foresight operates by collecting and organizing the "digital footprints" that students leave across various institutional systems. Utilizing WHALE, Analytikus's data repository, the platform trains machine learning models tailored to each university's unique environment. This customization ensures high precision and relevance throughout the academic cycle, enabling institutions to proactively identify and support at-risk students.

Key Features of Foresight

• Custom Predictive Models: Foresight employs numerous models customized to the institution, continuously calculating each student's likelihood of dropping out. By identifying individual risk factors, the platform facilitates timely and targeted interventions. Integration with SEAL Connect allows this information to synchronize automatically with the institution's Customer Relationship Management (CRM) system, enhancing omnichannel monitoring and strengthening student engagement.

  
  
  
  

• Generative Artificial Intelligence: Foresight leverages generative AI in two significant ways:

  • Narratives for Interventions: Beyond providing a risk score, Foresight delivers contextual narratives that help student support teams understand the underlying risk factors and devise effective intervention strategies aligned with the university’s resources.

    
    
    
    

  • Emilia, Virtual Assistant for At-Risk Students: Emilia serves as a proactive virtual assistant, engaging with at-risk students to explore the specific causes of their challenges and offering tailored resources and support solutions. This additional outreach maximizes the impact of interventions, effectively reaching vulnerable students in a personalized manner.

    
    
    
    

Real-World Applications

Several institutions have successfully implemented Foresight to enhance student retention:

• Tecmilenio University: With over 60,000 students, Tecmilenio University in Mexico adopted Foresight to predict dropout risks by centralizing and standardizing data in the Azure cloud. The implementation enabled the university to identify academic, economic, engagement, and sociodemographic risks, leading to more effective support strategies.

  
  
  
  

• Universidad Latina de Costa Rica (ULatina): ULatina utilized Foresight to analyze teacher and student behavior throughout the learning process. The platform's predictive capabilities allowed the university to implement measures that reduced the gross dropout rate from 34.3% to 28.9% in 2019, with expectations of further reduction in subsequent years.

  
  
  
  

Foresight by Analytikus represents a significant advancement in addressing student retention challenges. By integrating customized predictive models and generative AI, the platform provides institutions with the tools needed to proactively support at-risk students, thereby enhancing overall educational outcomes.