Paper Overview
Field: AI in Education Authors: Kristina Schaaff, Quintus Stierstorfer, Valerie Heckel Published: 2025-07-12 arXiv: 2507.08737
Abstract
In this study, we present a large-scale descriptive analysis of the use of an AI-based learning assistant (Syntea) in higher education. Based on objective log data from 77,543 students enrolled in distance studies, we examine usage patterns across gender, age group, study cluster, degree, and study mode. To date, existing research on educational chatbots has largely relied on comparatively small samples and self-reported survey data, while large-scale evidence on actual usage behavior remains limited. Our findings show that Syntea is already embedded in the study routines of many learners, but that usage differs across demographic and structural contexts.
Key Takeaways
- Analyzes objective usage logs rather than self-reported survey data, addressing a major gap in educational chatbot research
- Dataset covers 77,543 distance-learning students
- Examines usage across gender, age group, study cluster, degree, and study mode
- Finds the AI learning assistant (Syntea) is already integrated into many learners' daily study routines
- Usage patterns vary by demographic and structural context