Predicting Student Attrition in Competitive Programming: A Large-Scale Study Integrating Survey Insights and Global Behavioral Logs

Research combining large-scale behavioral data from Competitive Programming (CP) platforms with psychographic survey insights across multiple universities reveals patterns preceding student attrition. Key findings indicate a significant reduction in contest participation and an increase in 'struggle time' before disengagement. The study identifies a 'Skill-Application Paradox' as a contributing factor to attrition, highlighting the challenges students face in sustained engagement within competitive programming environments.

Understanding the dynamics of student attrition in specialized skill development environments like competitive programming is crucial for educational institutions and program organizers. Addressing these factors can improve retention rates, enhance skill development pipelines, and ensure a more robust talent pool in fields requiring advanced algorithmic reasoning.

Competitive programming (CP) helps computer science students develop algorithmic reasoning skills.

Forward consideration, not a verified fact.