Large-scale analysis reveals Syntea usage patterns among 77,543 distance learners

This study presents a large-scale descriptive analysis of the AI-based learning assistant Syntea, utilizing objective log data from 77,543 students enrolled in distance studies. The research examines usage patterns across various demographic and structural contexts, including gender, age group, study cluster, degree, and study mode.

• Analysis covers 77,543 students in distance studies to identify actual usage behavior.
• Usage patterns are examined across gender, age group, study cluster, degree, and study mode.
• Findings indicate Syntea is embedded in many learners' routines but varies by context.
• The study addresses the lack of large-scale evidence on educational chatbot usage compared to prior small-sample surveys.

By identifying these patterns, the authors provide an empirical basis for the further development of AI-based learning support and contribute a significant analysis of educational chatbot usage in higher education.